OTHERauxiliary(3)

NAME
OTHERauxiliary

SYNOPSIS

  Modules
double
real
complex
complex16

  Functions
logical function disnan (DIN)
DISNAN tests input for NaN.
subroutine dlabad (SMALL, LARGE)
DLABAD
subroutine dlacpy (UPLO, M, N, A, LDA, B, LDB)
DLACPY copies all or part of one two-dimensional array to another.
subroutine dlae2 (A, B, C, RT1, RT2)
DLAE2 computes the eigenvalues of a 2-by-2 symmetric matrix.
subroutine dlaebz (IJOB, NITMAX, N, MMAX, MINP, NBMIN, ABSTOL, RELTOL, PIVMIN, D, E, E2, NVAL, AB, C, MOUT, NAB, WORK, IWORK, INFO)
DLAEBZ computes the number of eigenvalues of a real symmetric tridiagonal matrix which are less than or equal to a given value, and performs other tasks required by the routine sstebz.
subroutine dlaev2 (A, B, C, RT1, RT2, CS1, SN1)
DLAEV2 computes the eigenvalues and eigenvectors of a 2-by-2 symmetric/Hermitian matrix.
subroutine dlagts (JOB, N, A, B, C, D, IN, Y, TOL, INFO)
DLAGTS solves the system of equations (T-λI)x = y or (T-λI)Tx = y,where T is a general tridiagonal matrix and λ a scalar, using the LU factorization computed by slagtf.
logical function dlaisnan (DIN1, DIN2)
DLAISNAN tests input for NaN by comparing two arguments for inequality.
integer function dlaneg (N, D, LLD, SIGMA, PIVMIN, R)
DLANEG computes the Sturm count.
double precision function dlanst (NORM, N, D, E)
DLANST returns the value of the 1-norm, or the Frobenius norm, or the infinity norm, or the element of largest absolute value of a real symmetric tridiagonal matrix.
double precision function dlapy2 (X, Y)
DLAPY2 returns sqrt(x2+y2).
double precision function dlapy3 (X, Y, Z)
DLAPY3 returns sqrt(x2+y2+z2).
subroutine dlarnv (IDIST, ISEED, N, X)
DLARNV returns a vector of random numbers from a uniform or normal distribution.
subroutine dlarra (N, D, E, E2, SPLTOL, TNRM, NSPLIT, ISPLIT, INFO)
DLARRA computes the splitting points with the specified threshold.
subroutine dlarrb (N, D, LLD, IFIRST, ILAST, RTOL1, RTOL2, OFFSET, W, WGAP, WERR, WORK, IWORK, PIVMIN, SPDIAM, TWIST, INFO)
DLARRB provides limited bisection to locate eigenvalues for more accuracy.
subroutine dlarrc (JOBT, N, VL, VU, D, E, PIVMIN, EIGCNT, LCNT, RCNT, INFO)
DLARRC computes the number of eigenvalues of the symmetric tridiagonal matrix.
subroutine dlarrd (RANGE, ORDER, N, VL, VU, IL, IU, GERS, RELTOL, D, E, E2, PIVMIN, NSPLIT, ISPLIT, M, W, WERR, WL, WU, IBLOCK, INDEXW, WORK, IWORK, INFO)
DLARRD computes the eigenvalues of a symmetric tridiagonal matrix to suitable accuracy.
subroutine dlarre (RANGE, N, VL, VU, IL, IU, D, E, E2, RTOL1, RTOL2, SPLTOL, NSPLIT, ISPLIT, M, W, WERR, WGAP, IBLOCK, INDEXW, GERS, PIVMIN, WORK, IWORK, INFO)
DLARRE given the tridiagonal matrix T, sets small off-diagonal elements to zero and for each unreduced block Ti, finds base representations and eigenvalues.
subroutine dlarrf (N, D, L, LD, CLSTRT, CLEND, W, WGAP, WERR, SPDIAM, CLGAPL, CLGAPR, PIVMIN, SIGMA, DPLUS, LPLUS, WORK, INFO)
DLARRF finds a new relatively robust representation such that at least one of the eigenvalues is relatively isolated.
subroutine dlarrj (N, D, E2, IFIRST, ILAST, RTOL, OFFSET, W, WERR, WORK, IWORK, PIVMIN, SPDIAM, INFO)
DLARRJ performs refinement of the initial estimates of the eigenvalues of the matrix T.
subroutine dlarrk (N, IW, GL, GU, D, E2, PIVMIN, RELTOL, W, WERR, INFO)
DLARRK computes one eigenvalue of a symmetric tridiagonal matrix T to suitable accuracy.
subroutine dlarrr (N, D, E, INFO)
DLARRR performs tests to decide whether the symmetric tridiagonal matrix T warrants expensive computations which guarantee high relative accuracy in the eigenvalues.
subroutine dlartg (F, G, CS, SN, R)
DLARTG generates a plane rotation with real cosine and real sine.
subroutine dlartgp (F, G, CS, SN, R)
DLARTGP generates a plane rotation so that the diagonal is nonnegative.
subroutine dlaruv (ISEED, N, X)
DLARUV returns a vector of n random real numbers from a uniform distribution.
subroutine dlas2 (F, G, H, SSMIN, SSMAX)
DLAS2 computes singular values of a 2-by-2 triangular matrix.
subroutine dlascl (TYPE, KL, KU, CFROM, CTO, M, N, A, LDA, INFO)
DLASCL multiplies a general rectangular matrix by a real scalar defined as cto/cfrom.
subroutine dlasd0 (N, SQRE, D, E, U, LDU, VT, LDVT, SMLSIZ, IWORK, WORK, INFO)
DLASD0 computes the singular values of a real upper bidiagonal n-by-m matrix B with diagonal d and off-diagonal e. Used by sbdsdc.
subroutine dlasd1 (NL, NR, SQRE, D, ALPHA, BETA, U, LDU, VT, LDVT, IDXQ, IWORK, WORK, INFO)
DLASD1 computes the SVD of an upper bidiagonal matrix B of the specified size. Used by sbdsdc.
subroutine dlasd2 (NL, NR, SQRE, K, D, Z, ALPHA, BETA, U, LDU, VT, LDVT, DSIGMA, U2, LDU2, VT2, LDVT2, IDXP, IDX, IDXC, IDXQ, COLTYP, INFO)
DLASD2 merges the two sets of singular values together into a single sorted set. Used by sbdsdc.
subroutine dlasd3 (NL, NR, SQRE, K, D, Q, LDQ, DSIGMA, U, LDU, U2, LDU2, VT, LDVT, VT2, LDVT2, IDXC, CTOT, Z, INFO)
DLASD3 finds all square roots of the roots of the secular equation, as defined by the values in D and Z, and then updates the singular vectors by matrix multiplication. Used by sbdsdc.
subroutine dlasd4 (N, I, D, Z, DELTA, RHO, SIGMA, WORK, INFO)
DLASD4 computes the square root of the i-th updated eigenvalue of a positive symmetric rank-one modification to a positive diagonal matrix. Used by dbdsdc.
subroutine dlasd5 (I, D, Z, DELTA, RHO, DSIGMA, WORK)
DLASD5 computes the square root of the i-th eigenvalue of a positive symmetric rank-one modification of a 2-by-2 diagonal matrix. Used by sbdsdc.
subroutine dlasd6 (ICOMPQ, NL, NR, SQRE, D, VF, VL, ALPHA, BETA, IDXQ, PERM, GIVPTR, GIVCOL, LDGCOL, GIVNUM, LDGNUM, POLES, DIFL, DIFR, Z, K, C, S, WORK, IWORK, INFO)
DLASD6 computes the SVD of an updated upper bidiagonal matrix obtained by merging two smaller ones by appending a row. Used by sbdsdc.
subroutine dlasd7 (ICOMPQ, NL, NR, SQRE, K, D, Z, ZW, VF, VFW, VL, VLW, ALPHA, BETA, DSIGMA, IDX, IDXP, IDXQ, PERM, GIVPTR, GIVCOL, LDGCOL, GIVNUM, LDGNUM, C, S, INFO)
DLASD7 merges the two sets of singular values together into a single sorted set. Then it tries to deflate the size of the problem. Used by sbdsdc.
subroutine dlasd8 (ICOMPQ, K, D, Z, VF, VL, DIFL, DIFR, LDDIFR, DSIGMA, WORK, INFO)
DLASD8 finds the square roots of the roots of the secular equation, and stores, for each element in D, the distance to its two nearest poles. Used by sbdsdc.
subroutine dlasda (ICOMPQ, SMLSIZ, N, SQRE, D, E, U, LDU, VT, K, DIFL, DIFR, Z, POLES, GIVPTR, GIVCOL, LDGCOL, PERM, GIVNUM, C, S, WORK, IWORK, INFO)
DLASDA computes the singular value decomposition (SVD) of a real upper bidiagonal matrix with diagonal d and off-diagonal e. Used by sbdsdc.
subroutine dlasdq (UPLO, SQRE, N, NCVT, NRU, NCC, D, E, VT, LDVT, U, LDU, C, LDC, WORK, INFO)
DLASDQ computes the SVD of a real bidiagonal matrix with diagonal d and off-diagonal e. Used by sbdsdc.
subroutine dlasdt (N, LVL, ND, INODE, NDIML, NDIMR, MSUB)
DLASDT creates a tree of subproblems for bidiagonal divide and conquer. Used by sbdsdc.
subroutine dlaset (UPLO, M, N, ALPHA, BETA, A, LDA)
DLASET initializes the off-diagonal elements and the diagonal elements of a matrix to given values.
subroutine dlasr (SIDE, PIVOT, DIRECT, M, N, C, S, A, LDA)
DLASR applies a sequence of plane rotations to a general rectangular matrix.
subroutine dlassq (N, X, INCX, SCALE, SUMSQ)
DLASSQ updates a sum of squares represented in scaled form.
subroutine dlasv2 (F, G, H, SSMIN, SSMAX, SNR, CSR, SNL, CSL)
DLASV2 computes the singular value decomposition of a 2-by-2 triangular matrix.
integer function ieeeck (ISPEC, ZERO, ONE)
IEEECK
integer function iladlc (M, N, A, LDA)
ILADLC scans a matrix for its last non-zero column.
integer function iladlr (M, N, A, LDA)
ILADLR scans a matrix for its last non-zero row.
integer function ilaenv (ISPEC, NAME, OPTS, N1, N2, N3, N4)
ILAENV
integer function ilaenv2stage (ISPEC, NAME, OPTS, N1, N2, N3, N4)
ILAENV2STAGE
integer function iparmq (ISPEC, NAME, OPTS, N, ILO, IHI, LWORK)
IPARMQ
logical function lsamen (N, CA, CB)
LSAMEN
logical function sisnan (SIN)
SISNAN tests input for NaN.
subroutine slabad (SMALL, LARGE)
SLABAD
subroutine slacpy (UPLO, M, N, A, LDA, B, LDB)
SLACPY copies all or part of one two-dimensional array to another.
subroutine slae2 (A, B, C, RT1, RT2)
SLAE2 computes the eigenvalues of a 2-by-2 symmetric matrix.
subroutine slaebz (IJOB, NITMAX, N, MMAX, MINP, NBMIN, ABSTOL, RELTOL, PIVMIN, D, E, E2, NVAL, AB, C, MOUT, NAB, WORK, IWORK, INFO)
SLAEBZ computes the number of eigenvalues of a real symmetric tridiagonal matrix which are less than or equal to a given value, and performs other tasks required by the routine sstebz.
subroutine slaev2 (A, B, C, RT1, RT2, CS1, SN1)
SLAEV2 computes the eigenvalues and eigenvectors of a 2-by-2 symmetric/Hermitian matrix.
subroutine slag2d (M, N, SA, LDSA, A, LDA, INFO)
SLAG2D converts a single precision matrix to a double precision matrix.
subroutine slagts (JOB, N, A, B, C, D, IN, Y, TOL, INFO)
SLAGTS solves the system of equations (T-λI)x = y or (T-λI)Tx = y,where T is a general tridiagonal matrix and λ a scalar, using the LU factorization computed by slagtf.
logical function slaisnan (SIN1, SIN2)
SLAISNAN tests input for NaN by comparing two arguments for inequality.
integer function slaneg (N, D, LLD, SIGMA, PIVMIN, R)
SLANEG computes the Sturm count.
real function slanst (NORM, N, D, E)
SLANST returns the value of the 1-norm, or the Frobenius norm, or the infinity norm, or the element of largest absolute value of a real symmetric tridiagonal matrix.
real function slapy2 (X, Y)
SLAPY2 returns sqrt(x2+y2).
real function slapy3 (X, Y, Z)
SLAPY3 returns sqrt(x2+y2+z2).
subroutine slarnv (IDIST, ISEED, N, X)
SLARNV returns a vector of random numbers from a uniform or normal distribution.
subroutine slarra (N, D, E, E2, SPLTOL, TNRM, NSPLIT, ISPLIT, INFO)
SLARRA computes the splitting points with the specified threshold.
subroutine slarrb (N, D, LLD, IFIRST, ILAST, RTOL1, RTOL2, OFFSET, W, WGAP, WERR, WORK, IWORK, PIVMIN, SPDIAM, TWIST, INFO)
SLARRB provides limited bisection to locate eigenvalues for more accuracy.
subroutine slarrc (JOBT, N, VL, VU, D, E, PIVMIN, EIGCNT, LCNT, RCNT, INFO)
SLARRC computes the number of eigenvalues of the symmetric tridiagonal matrix.
subroutine slarrd (RANGE, ORDER, N, VL, VU, IL, IU, GERS, RELTOL, D, E, E2, PIVMIN, NSPLIT, ISPLIT, M, W, WERR, WL, WU, IBLOCK, INDEXW, WORK, IWORK, INFO)
SLARRD computes the eigenvalues of a symmetric tridiagonal matrix to suitable accuracy.
subroutine slarre (RANGE, N, VL, VU, IL, IU, D, E, E2, RTOL1, RTOL2, SPLTOL, NSPLIT, ISPLIT, M, W, WERR, WGAP, IBLOCK, INDEXW, GERS, PIVMIN, WORK, IWORK, INFO)
SLARRE given the tridiagonal matrix T, sets small off-diagonal elements to zero and for each unreduced block Ti, finds base representations and eigenvalues.
subroutine slarrf (N, D, L, LD, CLSTRT, CLEND, W, WGAP, WERR, SPDIAM, CLGAPL, CLGAPR, PIVMIN, SIGMA, DPLUS, LPLUS, WORK, INFO)
SLARRF finds a new relatively robust representation such that at least one of the eigenvalues is relatively isolated.
subroutine slarrj (N, D, E2, IFIRST, ILAST, RTOL, OFFSET, W, WERR, WORK, IWORK, PIVMIN, SPDIAM, INFO)
SLARRJ performs refinement of the initial estimates of the eigenvalues of the matrix T.
subroutine slarrk (N, IW, GL, GU, D, E2, PIVMIN, RELTOL, W, WERR, INFO)
SLARRK computes one eigenvalue of a symmetric tridiagonal matrix T to suitable accuracy.
subroutine slarrr (N, D, E, INFO)
SLARRR performs tests to decide whether the symmetric tridiagonal matrix T warrants expensive computations which guarantee high relative accuracy in the eigenvalues.
subroutine slartg (F, G, CS, SN, R)
SLARTG generates a plane rotation with real cosine and real sine.
subroutine slartgp (F, G, CS, SN, R)
SLARTGP generates a plane rotation so that the diagonal is nonnegative.
subroutine slaruv (ISEED, N, X)
SLARUV returns a vector of n random real numbers from a uniform distribution.
subroutine slas2 (F, G, H, SSMIN, SSMAX)
SLAS2 computes singular values of a 2-by-2 triangular matrix.
subroutine slascl (TYPE, KL, KU, CFROM, CTO, M, N, A, LDA, INFO)
SLASCL multiplies a general rectangular matrix by a real scalar defined as cto/cfrom.
subroutine slasd0 (N, SQRE, D, E, U, LDU, VT, LDVT, SMLSIZ, IWORK, WORK, INFO)
SLASD0 computes the singular values of a real upper bidiagonal n-by-m matrix B with diagonal d and off-diagonal e. Used by sbdsdc.
subroutine slasd1 (NL, NR, SQRE, D, ALPHA, BETA, U, LDU, VT, LDVT, IDXQ, IWORK, WORK, INFO)
SLASD1 computes the SVD of an upper bidiagonal matrix B of the specified size. Used by sbdsdc.
subroutine slasd2 (NL, NR, SQRE, K, D, Z, ALPHA, BETA, U, LDU, VT, LDVT, DSIGMA, U2, LDU2, VT2, LDVT2, IDXP, IDX, IDXC, IDXQ, COLTYP, INFO)
SLASD2 merges the two sets of singular values together into a single sorted set. Used by sbdsdc.
subroutine slasd3 (NL, NR, SQRE, K, D, Q, LDQ, DSIGMA, U, LDU, U2, LDU2, VT, LDVT, VT2, LDVT2, IDXC, CTOT, Z, INFO)
SLASD3 finds all square roots of the roots of the secular equation, as defined by the values in D and Z, and then updates the singular vectors by matrix multiplication. Used by sbdsdc.
subroutine slasd4 (N, I, D, Z, DELTA, RHO, SIGMA, WORK, INFO)
SLASD4 computes the square root of the i-th updated eigenvalue of a positive symmetric rank-one modification to a positive diagonal matrix. Used by sbdsdc.
subroutine slasd5 (I, D, Z, DELTA, RHO, DSIGMA, WORK)
SLASD5 computes the square root of the i-th eigenvalue of a positive symmetric rank-one modification of a 2-by-2 diagonal matrix. Used by sbdsdc.
subroutine slasd6 (ICOMPQ, NL, NR, SQRE, D, VF, VL, ALPHA, BETA, IDXQ, PERM, GIVPTR, GIVCOL, LDGCOL, GIVNUM, LDGNUM, POLES, DIFL, DIFR, Z, K, C, S, WORK, IWORK, INFO)
SLASD6 computes the SVD of an updated upper bidiagonal matrix obtained by merging two smaller ones by appending a row. Used by sbdsdc.
subroutine slasd7 (ICOMPQ, NL, NR, SQRE, K, D, Z, ZW, VF, VFW, VL, VLW, ALPHA, BETA, DSIGMA, IDX, IDXP, IDXQ, PERM, GIVPTR, GIVCOL, LDGCOL, GIVNUM, LDGNUM, C, S, INFO)
SLASD7 merges the two sets of singular values together into a single sorted set. Then it tries to deflate the size of the problem. Used by sbdsdc.
subroutine slasd8 (ICOMPQ, K, D, Z, VF, VL, DIFL, DIFR, LDDIFR, DSIGMA, WORK, INFO)
SLASD8 finds the square roots of the roots of the secular equation, and stores, for each element in D, the distance to its two nearest poles. Used by sbdsdc.
subroutine slasda (ICOMPQ, SMLSIZ, N, SQRE, D, E, U, LDU, VT, K, DIFL, DIFR, Z, POLES, GIVPTR, GIVCOL, LDGCOL, PERM, GIVNUM, C, S, WORK, IWORK, INFO)
SLASDA computes the singular value decomposition (SVD) of a real upper bidiagonal matrix with diagonal d and off-diagonal e. Used by sbdsdc.
subroutine slasdq (UPLO, SQRE, N, NCVT, NRU, NCC, D, E, VT, LDVT, U, LDU, C, LDC, WORK, INFO)
SLASDQ computes the SVD of a real bidiagonal matrix with diagonal d and off-diagonal e. Used by sbdsdc.
subroutine slasdt (N, LVL, ND, INODE, NDIML, NDIMR, MSUB)
SLASDT creates a tree of subproblems for bidiagonal divide and conquer. Used by sbdsdc.
subroutine slaset (UPLO, M, N, ALPHA, BETA, A, LDA)
SLASET initializes the off-diagonal elements and the diagonal elements of a matrix to given values.
subroutine slasr (SIDE, PIVOT, DIRECT, M, N, C, S, A, LDA)
SLASR applies a sequence of plane rotations to a general rectangular matrix.
subroutine slassq (N, X, INCX, SCALE, SUMSQ)
SLASSQ updates a sum of squares represented in scaled form.
subroutine slasv2 (F, G, H, SSMIN, SSMAX, SNR, CSR, SNL, CSL)
SLASV2 computes the singular value decomposition of a 2-by-2 triangular matrix.
subroutine xerbla (SRNAME, INFO)
XERBLA
subroutine xerbla_array (SRNAME_ARRAY, SRNAME_LEN, INFO)
XERBLA_ARRAY

Detailed Description

This is the group of Other Auxiliary routines

Function Documentation

  logical function disnan (double precision, intent(in) DIN)

DISNAN tests input for NaN.

Purpose:

     DISNAN returns .TRUE. if its argument is NaN, and .FALSE.
     otherwise.  To be replaced by the Fortran 2003 intrinsic in the
     future.

Parameters:
    DIN

              DIN is DOUBLE PRECISION
              Input to test for NaN.

Author:
    Univ. of Tennessee

    Univ. of California Berkeley

    Univ. of Colorado Denver

    NAG Ltd.

Date:
    June 2017

Definition at line 61 of file disnan.f.

  subroutine dlabad (double precision SMALL, double precision LARGE)

DLABAD

Purpose:

     DLABAD takes as input the values computed by DLAMCH for underflow and
     overflow, and returns the square root of each of these values if the
     log of LARGE is sufficiently large.  This subroutine is intended to
     identify machines with a large exponent range, such as the Crays, and
     redefine the underflow and overflow limits to be the square roots of
     the values computed by DLAMCH.  This subroutine is needed because
     DLAMCH does not compensate for poor arithmetic in the upper half of
     the exponent range, as is found on a Cray.

Parameters:
    SMALL

              SMALL is DOUBLE PRECISION
              On entry, the underflow threshold as computed by DLAMCH.
              On exit, if LOG10(LARGE) is sufficiently large, the square
              root of SMALL, otherwise unchanged.

    LARGE

              LARGE is DOUBLE PRECISION
              On entry, the overflow threshold as computed by DLAMCH.
              On exit, if LOG10(LARGE) is sufficiently large, the square
              root of LARGE, otherwise unchanged.

Author:
    Univ. of Tennessee

    Univ. of California Berkeley

    Univ. of Colorado Denver

    NAG Ltd.

Date:
    December 2016

Definition at line 76 of file dlabad.f.

  subroutine dlacpy (character UPLO, integer M, integer N, double precision, dimension( lda, * ) A, integer LDA, double precision, dimension( ldb, * ) B, integer LDB)

DLACPY copies all or part of one two-dimensional array to another.

Purpose:

     DLACPY copies all or part of a two-dimensional matrix A to another
     matrix B.

Parameters:
    UPLO

              UPLO is CHARACTER*1
              Specifies the part of the matrix A to be copied to B.
              = 'U':      Upper triangular part
              = 'L':      Lower triangular part
              Otherwise:  All of the matrix A

    M

              M is INTEGER
              The number of rows of the matrix A.  M >= 0.

    N

              N is INTEGER
              The number of columns of the matrix A.  N >= 0.

    A

              A is DOUBLE PRECISION array, dimension (LDA,N)
              The m by n matrix A.  If UPLO = 'U', only the upper triangle
              or trapezoid is accessed; if UPLO = 'L', only the lower
              triangle or trapezoid is accessed.

    LDA

              LDA is INTEGER
              The leading dimension of the array A.  LDA >= max(1,M).

    B

              B is DOUBLE PRECISION array, dimension (LDB,N)
              On exit, B = A in the locations specified by UPLO.

    LDB

              LDB is INTEGER
              The leading dimension of the array B.  LDB >= max(1,M).

Author:
    Univ. of Tennessee

    Univ. of California Berkeley

    Univ. of Colorado Denver

    NAG Ltd.

Date:
    December 2016

Definition at line 105 of file dlacpy.f.

  subroutine dlae2 (double precision A, double precision B, double precision C, double precision RT1, double precision RT2)

DLAE2 computes the eigenvalues of a 2-by-2 symmetric matrix.

Purpose:

     DLAE2  computes the eigenvalues of a 2-by-2 symmetric matrix
        [  A   B  ]
        [  B   C  ].
     On return, RT1 is the eigenvalue of larger absolute value, and RT2
     is the eigenvalue of smaller absolute value.

Parameters:
    A

              A is DOUBLE PRECISION
              The (1,1) element of the 2-by-2 matrix.

    B

              B is DOUBLE PRECISION
              The (1,2) and (2,1) elements of the 2-by-2 matrix.

    C

              C is DOUBLE PRECISION
              The (2,2) element of the 2-by-2 matrix.

    RT1

              RT1 is DOUBLE PRECISION
              The eigenvalue of larger absolute value.

    RT2

              RT2 is DOUBLE PRECISION
              The eigenvalue of smaller absolute value.

Author:
    Univ. of Tennessee

    Univ. of California Berkeley

    Univ. of Colorado Denver

    NAG Ltd.

Date:
    December 2016

Further Details:

      RT1 is accurate to a few ulps barring over/underflow.
      RT2 may be inaccurate if there is massive cancellation in the
      determinant A*C-B*B; higher precision or correctly rounded or
      correctly truncated arithmetic would be needed to compute RT2
      accurately in all cases.
      Overflow is possible only if RT1 is within a factor of 5 of overflow.
      Underflow is harmless if the input data is 0 or exceeds
         underflow_threshold / macheps.

Definition at line 104 of file dlae2.f.

  subroutine dlaebz (integer IJOB, integer NITMAX, integer N, integer MMAX, integer MINP, integer NBMIN, double precision ABSTOL, double precision RELTOL, double precision PIVMIN, double precision, dimension( * ) D, double precision, dimension( * ) E, double precision, dimension( * ) E2, integer, dimension( * ) NVAL, double precision, dimension( mmax, * ) AB, double precision, dimension( * ) C, integer MOUT, integer, dimension( mmax, * ) NAB, double precision, dimension( * ) WORK, integer, dimension( * ) IWORK, integer INFO)

DLAEBZ computes the number of eigenvalues of a real symmetric tridiagonal matrix which are less than or equal to a given value, and performs other tasks required by the routine sstebz.

Purpose:

     DLAEBZ contains the iteration loops which compute and use the
     function N(w), which is the count of eigenvalues of a symmetric
     tridiagonal matrix T less than or equal to its argument  w.  It
     performs a choice of two types of loops:
     IJOB=1, followed by
     IJOB=2: It takes as input a list of intervals and returns a list of
             sufficiently small intervals whose union contains the same
             eigenvalues as the union of the original intervals.
             The input intervals are (AB(j,1),AB(j,2)], j=1,...,MINP.
             The output interval (AB(j,1),AB(j,2)] will contain
             eigenvalues NAB(j,1)+1,...,NAB(j,2), where 1 <= j <= MOUT.
     IJOB=3: It performs a binary search in each input interval
             (AB(j,1),AB(j,2)] for a point  w(j)  such that
             N(w(j))=NVAL(j), and uses  C(j)  as the starting point of
             the search.  If such a w(j) is found, then on output
             AB(j,1)=AB(j,2)=w.  If no such w(j) is found, then on output
             (AB(j,1),AB(j,2)] will be a small interval containing the
             point where N(w) jumps through NVAL(j), unless that point
             lies outside the initial interval.
     Note that the intervals are in all cases half-open intervals,
     i.e., of the form  (a,b] , which includes  b  but not  a .
     To avoid underflow, the matrix should be scaled so that its largest
     element is no greater than  overflow**(1/2) * underflow**(1/4)
     in absolute value.  To assure the most accurate computation
     of small eigenvalues, the matrix should be scaled to be
     not much smaller than that, either.
     See W. Kahan "Accurate Eigenvalues of a Symmetric Tridiagonal
     Matrix", Report CS41, Computer Science Dept., Stanford
     University, July 21, 1966
     Note: the arguments are, in general, *not* checked for unreasonable
     values.

Parameters:
    IJOB

              IJOB is INTEGER
              Specifies what is to be done:
              = 1:  Compute NAB for the initial intervals.
              = 2:  Perform bisection iteration to find eigenvalues of T.
              = 3:  Perform bisection iteration to invert N(w), i.e.,
                    to find a point which has a specified number of
                    eigenvalues of T to its left.
              Other values will cause DLAEBZ to return with INFO=-1.

    NITMAX

              NITMAX is INTEGER
              The maximum number of "levels" of bisection to be
              performed, i.e., an interval of width W will not be made
              smaller than 2^(-NITMAX) * W.  If not all intervals
              have converged after NITMAX iterations, then INFO is set
              to the number of non-converged intervals.

    N

              N is INTEGER
              The dimension n of the tridiagonal matrix T.  It must be at
              least 1.

    MMAX

              MMAX is INTEGER
              The maximum number of intervals.  If more than MMAX intervals
              are generated, then DLAEBZ will quit with INFO=MMAX+1.

    MINP

              MINP is INTEGER
              The initial number of intervals.  It may not be greater than
              MMAX.

    NBMIN

              NBMIN is INTEGER
              The smallest number of intervals that should be processed
              using a vector loop.  If zero, then only the scalar loop
              will be used.

    ABSTOL

              ABSTOL is DOUBLE PRECISION
              The minimum (absolute) width of an interval.  When an
              interval is narrower than ABSTOL, or than RELTOL times the
              larger (in magnitude) endpoint, then it is considered to be
              sufficiently small, i.e., converged.  This must be at least
              zero.

    RELTOL

              RELTOL is DOUBLE PRECISION
              The minimum relative width of an interval.  When an interval
              is narrower than ABSTOL, or than RELTOL times the larger (in
              magnitude) endpoint, then it is considered to be
              sufficiently small, i.e., converged.  Note: this should
              always be at least radix*machine epsilon.

    PIVMIN

              PIVMIN is DOUBLE PRECISION
              The minimum absolute value of a "pivot" in the Sturm
              sequence loop.
              This must be at least  max |e(j)**2|*safe_min  and at
              least safe_min, where safe_min is at least
              the smallest number that can divide one without overflow.

    D

              D is DOUBLE PRECISION array, dimension (N)
              The diagonal elements of the tridiagonal matrix T.

    E

              E is DOUBLE PRECISION array, dimension (N)
              The offdiagonal elements of the tridiagonal matrix T in
              positions 1 through N-1.  E(N) is arbitrary.

    E2

              E2 is DOUBLE PRECISION array, dimension (N)
              The squares of the offdiagonal elements of the tridiagonal
              matrix T.  E2(N) is ignored.

    NVAL

              NVAL is INTEGER array, dimension (MINP)
              If IJOB=1 or 2, not referenced.
              If IJOB=3, the desired values of N(w).  The elements of NVAL
              will be reordered to correspond with the intervals in AB.
              Thus, NVAL(j) on output will not, in general be the same as
              NVAL(j) on input, but it will correspond with the interval
              (AB(j,1),AB(j,2)] on output.

    AB

              AB is DOUBLE PRECISION array, dimension (MMAX,2)
              The endpoints of the intervals.  AB(j,1) is  a(j), the left
              endpoint of the j-th interval, and AB(j,2) is b(j), the
              right endpoint of the j-th interval.  The input intervals
              will, in general, be modified, split, and reordered by the
              calculation.

    C

              C is DOUBLE PRECISION array, dimension (MMAX)
              If IJOB=1, ignored.
              If IJOB=2, workspace.
              If IJOB=3, then on input C(j) should be initialized to the
              first search point in the binary search.

    MOUT

              MOUT is INTEGER
              If IJOB=1, the number of eigenvalues in the intervals.
              If IJOB=2 or 3, the number of intervals output.
              If IJOB=3, MOUT will equal MINP.

    NAB

              NAB is INTEGER array, dimension (MMAX,2)
              If IJOB=1, then on output NAB(i,j) will be set to N(AB(i,j)).
              If IJOB=2, then on input, NAB(i,j) should be set.  It must
                 satisfy the condition:
                 N(AB(i,1)) <= NAB(i,1) <= NAB(i,2) <= N(AB(i,2)),
                 which means that in interval i only eigenvalues
                 NAB(i,1)+1,...,NAB(i,2) will be considered.  Usually,
                 NAB(i,j)=N(AB(i,j)), from a previous call to DLAEBZ with
                 IJOB=1.
                 On output, NAB(i,j) will contain
                 max(na(k),min(nb(k),N(AB(i,j)))), where k is the index of
                 the input interval that the output interval
                 (AB(j,1),AB(j,2)] came from, and na(k) and nb(k) are the
                 the input values of NAB(k,1) and NAB(k,2).
              If IJOB=3, then on output, NAB(i,j) contains N(AB(i,j)),
                 unless N(w) > NVAL(i) for all search points  w , in which
                 case NAB(i,1) will not be modified, i.e., the output
                 value will be the same as the input value (modulo
                 reorderings -- see NVAL and AB), or unless N(w) < NVAL(i)
                 for all search points  w , in which case NAB(i,2) will
                 not be modified.  Normally, NAB should be set to some
                 distinctive value(s) before DLAEBZ is called.

    WORK

              WORK is DOUBLE PRECISION array, dimension (MMAX)
              Workspace.

    IWORK

              IWORK is INTEGER array, dimension (MMAX)
              Workspace.

    INFO

              INFO is INTEGER
              = 0:       All intervals converged.
              = 1--MMAX: The last INFO intervals did not converge.
              = MMAX+1:  More than MMAX intervals were generated.

Author:
    Univ. of Tennessee

    Univ. of California Berkeley

    Univ. of Colorado Denver

    NAG Ltd.

Date:
    December 2016

Further Details:

          This routine is intended to be called only by other LAPACK
      routines, thus the interface is less user-friendly.  It is intended
      for two purposes:
      (a) finding eigenvalues.  In this case, DLAEBZ should have one or
          more initial intervals set up in AB, and DLAEBZ should be called
          with IJOB=1.  This sets up NAB, and also counts the eigenvalues.
          Intervals with no eigenvalues would usually be thrown out at
          this point.  Also, if not all the eigenvalues in an interval i
          are desired, NAB(i,1) can be increased or NAB(i,2) decreased.
          For example, set NAB(i,1)=NAB(i,2)-1 to get the largest
          eigenvalue.  DLAEBZ is then called with IJOB=2 and MMAX
          no smaller than the value of MOUT returned by the call with
          IJOB=1.  After this (IJOB=2) call, eigenvalues NAB(i,1)+1
          through NAB(i,2) are approximately AB(i,1) (or AB(i,2)) to the
          tolerance specified by ABSTOL and RELTOL.
      (b) finding an interval (a',b'] containing eigenvalues w(f),...,w(l).
          In this case, start with a Gershgorin interval  (a,b).  Set up
          AB to contain 2 search intervals, both initially (a,b).  One
          NVAL element should contain  f-1  and the other should contain  l
          , while C should contain a and b, resp.  NAB(i,1) should be -1
          and NAB(i,2) should be N+1, to flag an error if the desired
          interval does not lie in (a,b).  DLAEBZ is then called with
          IJOB=3.  On exit, if w(f-1) < w(f), then one of the intervals --
          j -- will have AB(j,1)=AB(j,2) and NAB(j,1)=NAB(j,2)=f-1, while
          if, to the specified tolerance, w(f-k)=...=w(f+r), k > 0 and r
          >= 0, then the interval will have  N(AB(j,1))=NAB(j,1)=f-k and
          N(AB(j,2))=NAB(j,2)=f+r.  The cases w(l) < w(l+1) and
          w(l-r)=...=w(l+k) are handled similarly.

Definition at line 321 of file dlaebz.f.

  subroutine dlaev2 (double precision A, double precision B, double precision C, double precision RT1, double precision RT2, double precision CS1, double precision SN1)

DLAEV2 computes the eigenvalues and eigenvectors of a 2-by-2 symmetric/Hermitian matrix.

Purpose:

     DLAEV2 computes the eigendecomposition of a 2-by-2 symmetric matrix
        [  A   B  ]
        [  B   C  ].
     On return, RT1 is the eigenvalue of larger absolute value, RT2 is the
     eigenvalue of smaller absolute value, and (CS1,SN1) is the unit right
     eigenvector for RT1, giving the decomposition
        [ CS1  SN1 ] [  A   B  ] [ CS1 -SN1 ]  =  [ RT1  0  ]
        [-SN1  CS1 ] [  B   C  ] [ SN1  CS1 ]     [  0  RT2 ].

Parameters:
    A

              A is DOUBLE PRECISION
              The (1,1) element of the 2-by-2 matrix.

    B

              B is DOUBLE PRECISION
              The (1,2) element and the conjugate of the (2,1) element of
              the 2-by-2 matrix.

    C

              C is DOUBLE PRECISION
              The (2,2) element of the 2-by-2 matrix.

    RT1

              RT1 is DOUBLE PRECISION
              The eigenvalue of larger absolute value.

    RT2

              RT2 is DOUBLE PRECISION
              The eigenvalue of smaller absolute value.

    CS1

              CS1 is DOUBLE PRECISION

    SN1

              SN1 is DOUBLE PRECISION
              The vector (CS1, SN1) is a unit right eigenvector for RT1.

Author:
    Univ. of Tennessee

    Univ. of California Berkeley

    Univ. of Colorado Denver

    NAG Ltd.

Date:
    December 2016

Further Details:

      RT1 is accurate to a few ulps barring over/underflow.
      RT2 may be inaccurate if there is massive cancellation in the
      determinant A*C-B*B; higher precision or correctly rounded or
      correctly truncated arithmetic would be needed to compute RT2
      accurately in all cases.
      CS1 and SN1 are accurate to a few ulps barring over/underflow.
      Overflow is possible only if RT1 is within a factor of 5 of overflow.
      Underflow is harmless if the input data is 0 or exceeds
         underflow_threshold / macheps.

Definition at line 122 of file dlaev2.f.

  subroutine dlagts (integer JOB, integer N, double precision, dimension( * ) A, double precision, dimension( * ) B, double precision, dimension( * ) C, double precision, dimension( * ) D, integer, dimension( * ) IN, double precision, dimension( * ) Y, double precision TOL, integer INFO)

DLAGTS solves the system of equations (T-λI)x = y or (T-λI)Tx = y,where T is a general tridiagonal matrix and λ a scalar, using the LU factorization computed by slagtf.

Purpose:

     DLAGTS may be used to solve one of the systems of equations
        (T - lambda*I)*x = y   or   (T - lambda*I)**T*x = y,
     where T is an n by n tridiagonal matrix, for x, following the
     factorization of (T - lambda*I) as
        (T - lambda*I) = P*L*U ,
     by routine DLAGTF. The choice of equation to be solved is
     controlled by the argument JOB, and in each case there is an option
     to perturb zero or very small diagonal elements of U, this option
     being intended for use in applications such as inverse iteration.

Parameters:
    JOB

              JOB is INTEGER
              Specifies the job to be performed by DLAGTS as follows:
              =  1: The equations  (T - lambda*I)x = y  are to be solved,
                    but diagonal elements of U are not to be perturbed.
              = -1: The equations  (T - lambda*I)x = y  are to be solved
                    and, if overflow would otherwise occur, the diagonal
                    elements of U are to be perturbed. See argument TOL
                    below.
              =  2: The equations  (T - lambda*I)**Tx = y  are to be solved,
                    but diagonal elements of U are not to be perturbed.
              = -2: The equations  (T - lambda*I)**Tx = y  are to be solved
                    and, if overflow would otherwise occur, the diagonal
                    elements of U are to be perturbed. See argument TOL
                    below.

    N

              N is INTEGER
              The order of the matrix T.

    A

              A is DOUBLE PRECISION array, dimension (N)
              On entry, A must contain the diagonal elements of U as
              returned from DLAGTF.

    B

              B is DOUBLE PRECISION array, dimension (N-1)
              On entry, B must contain the first super-diagonal elements of
              U as returned from DLAGTF.

    C

              C is DOUBLE PRECISION array, dimension (N-1)
              On entry, C must contain the sub-diagonal elements of L as
              returned from DLAGTF.

    D

              D is DOUBLE PRECISION array, dimension (N-2)
              On entry, D must contain the second super-diagonal elements
              of U as returned from DLAGTF.

    IN

              IN is INTEGER array, dimension (N)
              On entry, IN must contain details of the matrix P as returned
              from DLAGTF.

    Y

              Y is DOUBLE PRECISION array, dimension (N)
              On entry, the right hand side vector y.
              On exit, Y is overwritten by the solution vector x.

    TOL

              TOL is DOUBLE PRECISION
              On entry, with  JOB .lt. 0, TOL should be the minimum
              perturbation to be made to very small diagonal elements of U.
              TOL should normally be chosen as about eps*norm(U), where eps
              is the relative machine precision, but if TOL is supplied as
              non-positive, then it is reset to eps*max( abs( u(i,j) ) ).
              If  JOB .gt. 0  then TOL is not referenced.
              On exit, TOL is changed as described above, only if TOL is
              non-positive on entry. Otherwise TOL is unchanged.

    INFO

              INFO is INTEGER
              = 0   : successful exit
              .lt. 0: if INFO = -i, the i-th argument had an illegal value
              .gt. 0: overflow would occur when computing the INFO(th)
                      element of the solution vector x. This can only occur
                      when JOB is supplied as positive and either means
                      that a diagonal element of U is very small, or that
                      the elements of the right-hand side vector y are very
                      large.

Author:
    Univ. of Tennessee

    Univ. of California Berkeley

    Univ. of Colorado Denver

    NAG Ltd.

Date:
    December 2016

Definition at line 163 of file dlagts.f.

  logical function dlaisnan (double precision, intent(in) DIN1, double precision, intent(in) DIN2)

DLAISNAN tests input for NaN by comparing two arguments for inequality.

Purpose:

     This routine is not for general use.  It exists solely to avoid
     over-optimization in DISNAN.
     DLAISNAN checks for NaNs by comparing its two arguments for
     inequality.  NaN is the only floating-point value where NaN != NaN
     returns .TRUE.  To check for NaNs, pass the same variable as both
     arguments.
     A compiler must assume that the two arguments are
     not the same variable, and the test will not be optimized away.
     Interprocedural or whole-program optimization may delete this
     test.  The ISNAN functions will be replaced by the correct
     Fortran 03 intrinsic once the intrinsic is widely available.

Parameters:
    DIN1

              DIN1 is DOUBLE PRECISION

    DIN2

              DIN2 is DOUBLE PRECISION
              Two numbers to compare for inequality.

Author:
    Univ. of Tennessee

    Univ. of California Berkeley

    Univ. of Colorado Denver

    NAG Ltd.

Date:
    June 2017

Definition at line 76 of file dlaisnan.f.

  integer function dlaneg (integer N, double precision, dimension( * ) D, double precision, dimension( * ) LLD, double precision SIGMA, double precision PIVMIN, integer R)

DLANEG computes the Sturm count.

Purpose:

     DLANEG computes the Sturm count, the number of negative pivots
     encountered while factoring tridiagonal T - sigma I = L D L^T.
     This implementation works directly on the factors without forming
     the tridiagonal matrix T.  The Sturm count is also the number of
     eigenvalues of T less than sigma.
     This routine is called from DLARRB.
     The current routine does not use the PIVMIN parameter but rather
     requires IEEE-754 propagation of Infinities and NaNs.  This
     routine also has no input range restrictions but does require
     default exception handling such that x/0 produces Inf when x is
     non-zero, and Inf/Inf produces NaN.  For more information, see:
       Marques, Riedy, and Voemel, "Benefits of IEEE-754 Features in
       Modern Symmetric Tridiagonal Eigensolvers," SIAM Journal on
       Scientific Computing, v28, n5, 2006.  DOI 10.1137/050641624
       (Tech report version in LAWN 172 with the same title.)

Parameters:
    N

              N is INTEGER
              The order of the matrix.

    D

              D is DOUBLE PRECISION array, dimension (N)
              The N diagonal elements of the diagonal matrix D.

    LLD

              LLD is DOUBLE PRECISION array, dimension (N-1)
              The (N-1) elements L(i)*L(i)*D(i).

    SIGMA

              SIGMA is DOUBLE PRECISION
              Shift amount in T - sigma I = L D L^T.

    PIVMIN

              PIVMIN is DOUBLE PRECISION
              The minimum pivot in the Sturm sequence.  May be used
              when zero pivots are encountered on non-IEEE-754
              architectures.

    R

              R is INTEGER
              The twist index for the twisted factorization that is used
              for the negcount.

Author:
    Univ. of Tennessee

    Univ. of California Berkeley

    Univ. of Colorado Denver

    NAG Ltd.

Date:
    December 2016

Contributors:
    Osni Marques, LBNL/NERSC, USA
     Christof Voemel, University of California, Berkeley, USA
     Jason Riedy, University of California, Berkeley, USA

Definition at line 120 of file dlaneg.f.

  double precision function dlanst (character NORM, integer N, double precision, dimension( * ) D, double precision, dimension( * ) E)

DLANST returns the value of the 1-norm, or the Frobenius norm, or the infinity norm, or the element of largest absolute value of a real symmetric tridiagonal matrix.

Purpose:

     DLANST  returns the value of the one norm,  or the Frobenius norm, or
     the  infinity norm,  or the  element of  largest absolute value  of a
     real symmetric tridiagonal matrix A.

Returns:
    DLANST

        DLANST = ( max(abs(A(i,j))), NORM = 'M' or 'm'
                 (
                 ( norm1(A),         NORM = '1', 'O' or 'o'
                 (
                 ( normI(A),         NORM = 'I' or 'i'
                 (
                 ( normF(A),         NORM = 'F', 'f', 'E' or 'e'
     where  norm1  denotes the  one norm of a matrix (maximum column sum),
     normI  denotes the  infinity norm  of a matrix  (maximum row sum) and
     normF  denotes the  Frobenius norm of a matrix (square root of sum of
     squares).  Note that  max(abs(A(i,j)))  is not a consistent matrix norm.

Parameters:
    NORM

              NORM is CHARACTER*1
              Specifies the value to be returned in DLANST as described
              above.

    N

              N is INTEGER
              The order of the matrix A.  N >= 0.  When N = 0, DLANST is
              set to zero.

    D

              D is DOUBLE PRECISION array, dimension (N)
              The diagonal elements of A.

    E

              E is DOUBLE PRECISION array, dimension (N-1)
              The (n-1) sub-diagonal or super-diagonal elements of A.

Author:
    Univ. of Tennessee

    Univ. of California Berkeley

    Univ. of Colorado Denver

    NAG Ltd.

Date:
    December 2016

Definition at line 102 of file dlanst.f.

  double precision function dlapy2 (double precision X, double precision Y)

DLAPY2 returns sqrt(x2+y2).

Purpose:

     DLAPY2 returns sqrt(x**2+y**2), taking care not to cause unnecessary
     overflow.

Parameters:
    X

              X is DOUBLE PRECISION

    Y

              Y is DOUBLE PRECISION
              X and Y specify the values x and y.

Author:
    Univ. of Tennessee

    Univ. of California Berkeley

    Univ. of Colorado Denver

    NAG Ltd.

Date:
    June 2017

Definition at line 65 of file dlapy2.f.

  double precision function dlapy3 (double precision X, double precision Y, double precision Z)

DLAPY3 returns sqrt(x2+y2+z2).

Purpose:

     DLAPY3 returns sqrt(x**2+y**2+z**2), taking care not to cause
     unnecessary overflow.

Parameters:
    X

              X is DOUBLE PRECISION

    Y

              Y is DOUBLE PRECISION

    Z

              Z is DOUBLE PRECISION
              X, Y and Z specify the values x, y and z.

Author:
    Univ. of Tennessee

    Univ. of California Berkeley

    Univ. of Colorado Denver

    NAG Ltd.

Date:
    December 2016

Definition at line 70 of file dlapy3.f.

  subroutine dlarnv (integer IDIST, integer, dimension( 4 ) ISEED, integer N, double precision, dimension( * ) X)

DLARNV returns a vector of random numbers from a uniform or normal distribution.

Purpose:

     DLARNV returns a vector of n random real numbers from a uniform or
     normal distribution.

Parameters:
    IDIST

              IDIST is INTEGER
              Specifies the distribution of the random numbers:
              = 1:  uniform (0,1)
              = 2:  uniform (-1,1)
              = 3:  normal (0,1)

    ISEED

              ISEED is INTEGER array, dimension (4)
              On entry, the seed of the random number generator; the array
              elements must be between 0 and 4095, and ISEED(4) must be
              odd.
              On exit, the seed is updated.

    N

              N is INTEGER
              The number of random numbers to be generated.

    X

              X is DOUBLE PRECISION array, dimension (N)
              The generated random numbers.

Author:
    Univ. of Tennessee

    Univ. of California Berkeley

    Univ. of Colorado Denver

    NAG Ltd.

Date:
    December 2016

Further Details:

      This routine calls the auxiliary routine DLARUV to generate random
      real numbers from a uniform (0,1) distribution, in batches of up to
      128 using vectorisable code. The Box-Muller method is used to
      transform numbers from a uniform to a normal distribution.

Definition at line 99 of file dlarnv.f.

  subroutine dlarra (integer N, double precision, dimension( * ) D, double precision, dimension( * ) E, double precision, dimension( * ) E2, double precision SPLTOL, double precision TNRM, integer NSPLIT, integer, dimension( * ) ISPLIT, integer INFO)

DLARRA computes the splitting points with the specified threshold.

Purpose:

     Compute the splitting points with threshold SPLTOL.
     DLARRA sets any "small" off-diagonal elements to zero.

Parameters:
    N

              N is INTEGER
              The order of the matrix. N > 0.

    D

              D is DOUBLE PRECISION array, dimension (N)
              On entry, the N diagonal elements of the tridiagonal
              matrix T.

    E

              E is DOUBLE PRECISION array, dimension (N)
              On entry, the first (N-1) entries contain the subdiagonal
              elements of the tridiagonal matrix T; E(N) need not be set.
              On exit, the entries E( ISPLIT( I ) ), 1 <= I <= NSPLIT,
              are set to zero, the other entries of E are untouched.

    E2

              E2 is DOUBLE PRECISION array, dimension (N)
              On entry, the first (N-1) entries contain the SQUARES of the
              subdiagonal elements of the tridiagonal matrix T;
              E2(N) need not be set.
              On exit, the entries E2( ISPLIT( I ) ),
              1 <= I <= NSPLIT, have been set to zero

    SPLTOL

              SPLTOL is DOUBLE PRECISION
              The threshold for splitting. Two criteria can be used:
              SPLTOL<0 : criterion based on absolute off-diagonal value
              SPLTOL>0 : criterion that preserves relative accuracy

    TNRM

              TNRM is DOUBLE PRECISION
              The norm of the matrix.

    NSPLIT

              NSPLIT is INTEGER
              The number of blocks T splits into. 1 <= NSPLIT <= N.

    ISPLIT

              ISPLIT is INTEGER array, dimension (N)
              The splitting points, at which T breaks up into blocks.
              The first block consists of rows/columns 1 to ISPLIT(1),
              the second of rows/columns ISPLIT(1)+1 through ISPLIT(2),
              etc., and the NSPLIT-th consists of rows/columns
              ISPLIT(NSPLIT-1)+1 through ISPLIT(NSPLIT)=N.

    INFO

              INFO is INTEGER
              = 0:  successful exit

Author:
    Univ. of Tennessee

    Univ. of California Berkeley

    Univ. of Colorado Denver

    NAG Ltd.

Date:
    June 2017

Contributors:
    Beresford Parlett, University of California, Berkeley, USA
     Jim Demmel, University of California, Berkeley, USA
     Inderjit Dhillon, University of Texas, Austin, USA
     Osni Marques, LBNL/NERSC, USA
     Christof Voemel, University of California, Berkeley, USA

Definition at line 138 of file dlarra.f.

  subroutine dlarrb (integer N, double precision, dimension( * ) D, double precision, dimension( * ) LLD, integer IFIRST, integer ILAST, double precision RTOL1, double precision RTOL2, integer OFFSET, double precision, dimension( * ) W, double precision, dimension( * ) WGAP, double precision, dimension( * ) WERR, double precision, dimension( * ) WORK, integer, dimension( * ) IWORK, double precision PIVMIN, double precision SPDIAM, integer TWIST, integer INFO)

DLARRB provides limited bisection to locate eigenvalues for more accuracy.

Purpose:

     Given the relatively robust representation(RRR) L D L^T, DLARRB
     does "limited" bisection to refine the eigenvalues of L D L^T,
     W( IFIRST-OFFSET ) through W( ILAST-OFFSET ), to more accuracy. Initial
     guesses for these eigenvalues are input in W, the corresponding estimate
     of the error in these guesses and their gaps are input in WERR
     and WGAP, respectively. During bisection, intervals
     [left, right] are maintained by storing their mid-points and
     semi-widths in the arrays W and WERR respectively.

Parameters:
    N

              N is INTEGER
              The order of the matrix.

    D

              D is DOUBLE PRECISION array, dimension (N)
              The N diagonal elements of the diagonal matrix D.

    LLD

              LLD is DOUBLE PRECISION array, dimension (N-1)
              The (N-1) elements L(i)*L(i)*D(i).

    IFIRST

              IFIRST is INTEGER
              The index of the first eigenvalue to be computed.

    ILAST

              ILAST is INTEGER
              The index of the last eigenvalue to be computed.

    RTOL1

              RTOL1 is DOUBLE PRECISION

    RTOL2

              RTOL2 is DOUBLE PRECISION
              Tolerance for the convergence of the bisection intervals.
              An interval [LEFT,RIGHT] has converged if
              RIGHT-LEFT.LT.MAX( RTOL1*GAP, RTOL2*MAX(|LEFT|,|RIGHT|) )
              where GAP is the (estimated) distance to the nearest
              eigenvalue.

    OFFSET

              OFFSET is INTEGER
              Offset for the arrays W, WGAP and WERR, i.e., the IFIRST-OFFSET
              through ILAST-OFFSET elements of these arrays are to be used.

    W

              W is DOUBLE PRECISION array, dimension (N)
              On input, W( IFIRST-OFFSET ) through W( ILAST-OFFSET ) are
              estimates of the eigenvalues of L D L^T indexed IFIRST through
              ILAST.
              On output, these estimates are refined.

    WGAP

              WGAP is DOUBLE PRECISION array, dimension (N-1)
              On input, the (estimated) gaps between consecutive
              eigenvalues of L D L^T, i.e., WGAP(I-OFFSET) is the gap between
              eigenvalues I and I+1. Note that if IFIRST.EQ.ILAST
              then WGAP(IFIRST-OFFSET) must be set to ZERO.
              On output, these gaps are refined.

    WERR

              WERR is DOUBLE PRECISION array, dimension (N)
              On input, WERR( IFIRST-OFFSET ) through WERR( ILAST-OFFSET ) are
              the errors in the estimates of the corresponding elements in W.
              On output, these errors are refined.

    WORK

              WORK is DOUBLE PRECISION array, dimension (2*N)
              Workspace.

    IWORK

              IWORK is INTEGER array, dimension (2*N)
              Workspace.

    PIVMIN

              PIVMIN is DOUBLE PRECISION
              The minimum pivot in the Sturm sequence.

    SPDIAM

              SPDIAM is DOUBLE PRECISION
              The spectral diameter of the matrix.

    TWIST

              TWIST is INTEGER
              The twist index for the twisted factorization that is used
              for the negcount.
              TWIST = N: Compute negcount from L D L^T - LAMBDA I = L+ D+ L+^T
              TWIST = 1: Compute negcount from L D L^T - LAMBDA I = U- D- U-^T
              TWIST = R: Compute negcount from L D L^T - LAMBDA I = N(r) D(r) N(r)

    INFO

              INFO is INTEGER
              Error flag.

Author:
    Univ. of Tennessee

    Univ. of California Berkeley

    Univ. of Colorado Denver

    NAG Ltd.

Date:
    June 2017

Contributors:
    Beresford Parlett, University of California, Berkeley, USA
     Jim Demmel, University of California, Berkeley, USA
     Inderjit Dhillon, University of Texas, Austin, USA
     Osni Marques, LBNL/NERSC, USA
     Christof Voemel, University of California, Berkeley, USA

Definition at line 198 of file dlarrb.f.

  subroutine dlarrc (character JOBT, integer N, double precision VL, double precision VU, double precision, dimension( * ) D, double precision, dimension( * ) E, double precision PIVMIN, integer EIGCNT, integer LCNT, integer RCNT, integer INFO)

DLARRC computes the number of eigenvalues of the symmetric tridiagonal matrix.

Purpose:

     Find the number of eigenvalues of the symmetric tridiagonal matrix T
     that are in the interval (VL,VU] if JOBT = 'T', and of L D L^T
     if JOBT = 'L'.

Parameters:
    JOBT

              JOBT is CHARACTER*1
              = 'T':  Compute Sturm count for matrix T.
              = 'L':  Compute Sturm count for matrix L D L^T.

    N

              N is INTEGER
              The order of the matrix. N > 0.

    VL

              VL is DOUBLE PRECISION
              The lower bound for the eigenvalues.

    VU

              VU is DOUBLE PRECISION
              The upper bound for the eigenvalues.

    D

              D is DOUBLE PRECISION array, dimension (N)
              JOBT = 'T': The N diagonal elements of the tridiagonal matrix T.
              JOBT = 'L': The N diagonal elements of the diagonal matrix D.

    E

              E is DOUBLE PRECISION array, dimension (N)
              JOBT = 'T': The N-1 offdiagonal elements of the matrix T.
              JOBT = 'L': The N-1 offdiagonal elements of the matrix L.

    PIVMIN

              PIVMIN is DOUBLE PRECISION
              The minimum pivot in the Sturm sequence for T.

    EIGCNT

              EIGCNT is INTEGER
              The number of eigenvalues of the symmetric tridiagonal matrix T
              that are in the interval (VL,VU]

    LCNT

              LCNT is INTEGER

    RCNT

              RCNT is INTEGER
              The left and right negcounts of the interval.

    INFO

              INFO is INTEGER

Author:
    Univ. of Tennessee

    Univ. of California Berkeley

    Univ. of Colorado Denver

    NAG Ltd.

Date:
    June 2016

Contributors:
    Beresford Parlett, University of California, Berkeley, USA
     Jim Demmel, University of California, Berkeley, USA
     Inderjit Dhillon, University of Texas, Austin, USA
     Osni Marques, LBNL/NERSC, USA
     Christof Voemel, University of California, Berkeley, USA

Definition at line 139 of file dlarrc.f.

  subroutine dlarrd (character RANGE, character ORDER, integer N, double precision VL, double precision VU, integer IL, integer IU, double precision, dimension( * ) GERS, double precision RELTOL, double precision, dimension( * ) D, double precision, dimension( * ) E, double precision, dimension( * ) E2, double precision PIVMIN, integer NSPLIT, integer, dimension( * ) ISPLIT, integer M, double precision, dimension( * ) W, double precision, dimension( * ) WERR, double precision WL, double precision WU, integer, dimension( * ) IBLOCK, integer, dimension( * ) INDEXW, double precision, dimension( * ) WORK, integer, dimension( * ) IWORK, integer INFO)

DLARRD computes the eigenvalues of a symmetric tridiagonal matrix to suitable accuracy.

Purpose:

     DLARRD computes the eigenvalues of a symmetric tridiagonal
     matrix T to suitable accuracy. This is an auxiliary code to be
     called from DSTEMR.
     The user may ask for all eigenvalues, all eigenvalues
     in the half-open interval (VL, VU], or the IL-th through IU-th
     eigenvalues.
     To avoid overflow, the matrix must be scaled so that its
     largest element is no greater than overflow**(1/2) * underflow**(1/4) in absolute value, and for greatest
     accuracy, it should not be much smaller than that.
     See W. Kahan "Accurate Eigenvalues of a Symmetric Tridiagonal
     Matrix", Report CS41, Computer Science Dept., Stanford
     University, July 21, 1966.

Parameters:
    RANGE

              RANGE is CHARACTER*1
              = 'A': ("All")   all eigenvalues will be found.
              = 'V': ("Value") all eigenvalues in the half-open interval
                               (VL, VU] will be found.
              = 'I': ("Index") the IL-th through IU-th eigenvalues (of the
                               entire matrix) will be found.

    ORDER

              ORDER is CHARACTER*1
              = 'B': ("By Block") the eigenvalues will be grouped by
                                  split-off block (see IBLOCK, ISPLIT) and
                                  ordered from smallest to largest within
                                  the block.
              = 'E': ("Entire matrix")
                                  the eigenvalues for the entire matrix
                                  will be ordered from smallest to
                                  largest.

    N

              N is INTEGER
              The order of the tridiagonal matrix T.  N >= 0.

    VL

              VL is DOUBLE PRECISION
              If RANGE='V', the lower bound of the interval to
              be searched for eigenvalues.  Eigenvalues less than or equal
              to VL, or greater than VU, will not be returned.  VL < VU.
              Not referenced if RANGE = 'A' or 'I'.

    VU

              VU is DOUBLE PRECISION
              If RANGE='V', the upper bound of the interval to
              be searched for eigenvalues.  Eigenvalues less than or equal
              to VL, or greater than VU, will not be returned.  VL < VU.
              Not referenced if RANGE = 'A' or 'I'.

    IL

              IL is INTEGER
              If RANGE='I', the index of the
              smallest eigenvalue to be returned.
              1 <= IL <= IU <= N, if N > 0; IL = 1 and IU = 0 if N = 0.
              Not referenced if RANGE = 'A' or 'V'.

    IU

              IU is INTEGER
              If RANGE='I', the index of the
              largest eigenvalue to be returned.
              1 <= IL <= IU <= N, if N > 0; IL = 1 and IU = 0 if N = 0.
              Not referenced if RANGE = 'A' or 'V'.

    GERS

              GERS is DOUBLE PRECISION array, dimension (2*N)
              The N Gerschgorin intervals (the i-th Gerschgorin interval
              is (GERS(2*i-1), GERS(2*i)).

    RELTOL

              RELTOL is DOUBLE PRECISION
              The minimum relative width of an interval.  When an interval
              is narrower than RELTOL times the larger (in
              magnitude) endpoint, then it is considered to be
              sufficiently small, i.e., converged.  Note: this should
              always be at least radix*machine epsilon.

    D

              D is DOUBLE PRECISION array, dimension (N)
              The n diagonal elements of the tridiagonal matrix T.

    E

              E is DOUBLE PRECISION array, dimension (N-1)
              The (n-1) off-diagonal elements of the tridiagonal matrix T.

    E2

              E2 is DOUBLE PRECISION array, dimension (N-1)
              The (n-1) squared off-diagonal elements of the tridiagonal matrix T.

    PIVMIN

              PIVMIN is DOUBLE PRECISION
              The minimum pivot allowed in the Sturm sequence for T.

    NSPLIT

              NSPLIT is INTEGER
              The number of diagonal blocks in the matrix T.
              1 <= NSPLIT <= N.

    ISPLIT

              ISPLIT is INTEGER array, dimension (N)
              The splitting points, at which T breaks up into submatrices.
              The first submatrix consists of rows/columns 1 to ISPLIT(1),
              the second of rows/columns ISPLIT(1)+1 through ISPLIT(2),
              etc., and the NSPLIT-th consists of rows/columns
              ISPLIT(NSPLIT-1)+1 through ISPLIT(NSPLIT)=N.
              (Only the first NSPLIT elements will actually be used, but
              since the user cannot know a priori what value NSPLIT will
              have, N words must be reserved for ISPLIT.)

    M

              M is INTEGER
              The actual number of eigenvalues found. 0 <= M <= N.
              (See also the description of INFO=2,3.)

    W

              W is DOUBLE PRECISION array, dimension (N)
              On exit, the first M elements of W will contain the
              eigenvalue approximations. DLARRD computes an interval
              I_j = (a_j, b_j] that includes eigenvalue j. The eigenvalue
              approximation is given as the interval midpoint
              W(j)= ( a_j + b_j)/2. The corresponding error is bounded by
              WERR(j) = abs( a_j - b_j)/2

    WERR

              WERR is DOUBLE PRECISION array, dimension (N)
              The error bound on the corresponding eigenvalue approximation
              in W.

    WL

              WL is DOUBLE PRECISION

    WU

              WU is DOUBLE PRECISION
              The interval (WL, WU] contains all the wanted eigenvalues.
              If RANGE='V', then WL=VL and WU=VU.
              If RANGE='A', then WL and WU are the global Gerschgorin bounds
                            on the spectrum.
              If RANGE='I', then WL and WU are computed by DLAEBZ from the
                            index range specified.

    IBLOCK

              IBLOCK is INTEGER array, dimension (N)
              At each row/column j where E(j) is zero or small, the
              matrix T is considered to split into a block diagonal
              matrix.  On exit, if INFO = 0, IBLOCK(i) specifies to which
              block (from 1 to the number of blocks) the eigenvalue W(i)
              belongs.  (DLARRD may use the remaining N-M elements as
              workspace.)

    INDEXW

              INDEXW is INTEGER array, dimension (N)
              The indices of the eigenvalues within each block (submatrix);
              for example, INDEXW(i)= j and IBLOCK(i)=k imply that the
              i-th eigenvalue W(i) is the j-th eigenvalue in block k.

    WORK

              WORK is DOUBLE PRECISION array, dimension (4*N)

    IWORK

              IWORK is INTEGER array, dimension (3*N)

    INFO

              INFO is INTEGER
              = 0:  successful exit
              < 0:  if INFO = -i, the i-th argument had an illegal value
              > 0:  some or all of the eigenvalues failed to converge or
                    were not computed:
                    =1 or 3: Bisection failed to converge for some
                            eigenvalues; these eigenvalues are flagged by a
                            negative block number.  The effect is that the
                            eigenvalues may not be as accurate as the
                            absolute and relative tolerances.  This is
                            generally caused by unexpectedly inaccurate
                            arithmetic.
                    =2 or 3: RANGE='I' only: Not all of the eigenvalues
                            IL:IU were found.
                            Effect: M < IU+1-IL
                            Cause:  non-monotonic arithmetic, causing the
                                    Sturm sequence to be non-monotonic.
                            Cure:   recalculate, using RANGE='A', and pick
                                    out eigenvalues IL:IU.  In some cases,
                                    increasing the PARAMETER "FUDGE" may
                                    make things work.
                    = 4:    RANGE='I', and the Gershgorin interval
                            initially used was too small.  No eigenvalues
                            were computed.
                            Probable cause: your machine has sloppy
                                            floating-point arithmetic.
                            Cure: Increase the PARAMETER "FUDGE",
                                  recompile, and try again.

Internal Parameters:

      FUDGE   DOUBLE PRECISION, default = 2
              A "fudge factor" to widen the Gershgorin intervals.  Ideally,
              a value of 1 should work, but on machines with sloppy
              arithmetic, this needs to be larger.  The default for
              publicly released versions should be large enough to handle
              the worst machine around.  Note that this has no effect
              on accuracy of the solution.

Contributors:
    W. Kahan, University of California, Berkeley, USA
     Beresford Parlett, University of California, Berkeley, USA
     Jim Demmel, University of California, Berkeley, USA
     Inderjit Dhillon, University of Texas, Austin, USA
     Osni Marques, LBNL/NERSC, USA
     Christof Voemel, University of California, Berkeley, USA

Author:
    Univ. of Tennessee

    Univ. of California Berkeley

    Univ. of Colorado Denver

    NAG Ltd.

Date:
    June 2016

Definition at line 331 of file dlarrd.f.

  subroutine dlarre (character RANGE, integer N, double precision VL, double precision VU, integer IL, integer IU, double precision, dimension( * ) D, double precision, dimension( * ) E, double precision, dimension( * ) E2, double precision RTOL1, double precision RTOL2, double precision SPLTOL, integer NSPLIT, integer, dimension( * ) ISPLIT, integer M, double precision, dimension( * ) W, double precision, dimension( * ) WERR, double precision, dimension( * ) WGAP, integer, dimension( * ) IBLOCK, integer, dimension( * ) INDEXW, double precision, dimension( * ) GERS, double precision PIVMIN, double precision, dimension( * ) WORK, integer, dimension( * ) IWORK, integer INFO)

DLARRE given the tridiagonal matrix T, sets small off-diagonal elements to zero and for each unreduced block Ti, finds base representations and eigenvalues.

Purpose:

     To find the desired eigenvalues of a given real symmetric
     tridiagonal matrix T, DLARRE sets any "small" off-diagonal
     elements to zero, and for each unreduced block T_i, it finds
     (a) a suitable shift at one end of the block's spectrum,
     (b) the base representation, T_i - sigma_i I = L_i D_i L_i^T, and
     (c) eigenvalues of each L_i D_i L_i^T.
     The representations and eigenvalues found are then used by
     DSTEMR to compute the eigenvectors of T.
     The accuracy varies depending on whether bisection is used to
     find a few eigenvalues or the dqds algorithm (subroutine DLASQ2) to
     conpute all and then discard any unwanted one.
     As an added benefit, DLARRE also outputs the n
     Gerschgorin intervals for the matrices L_i D_i L_i^T.

Parameters:
    RANGE

              RANGE is CHARACTER*1
              = 'A': ("All")   all eigenvalues will be found.
              = 'V': ("Value") all eigenvalues in the half-open interval
                               (VL, VU] will be found.
              = 'I': ("Index") the IL-th through IU-th eigenvalues (of the
                               entire matrix) will be found.

    N

              N is INTEGER
              The order of the matrix. N > 0.

    VL

              VL is DOUBLE PRECISION
              If RANGE='V', the lower bound for the eigenvalues.
              Eigenvalues less than or equal to VL, or greater than VU,
              will not be returned.  VL < VU.
              If RANGE='I' or ='A', DLARRE computes bounds on the desired
              part of the spectrum.

    VU

              VU is DOUBLE PRECISION
              If RANGE='V', the upper bound for the eigenvalues.
              Eigenvalues less than or equal to VL, or greater than VU,
              will not be returned.  VL < VU.
              If RANGE='I' or ='A', DLARRE computes bounds on the desired
              part of the spectrum.

    IL

              IL is INTEGER
              If RANGE='I', the index of the
              smallest eigenvalue to be returned.
              1 <= IL <= IU <= N.

    IU

              IU is INTEGER
              If RANGE='I', the index of the
              largest eigenvalue to be returned.
              1 <= IL <= IU <= N.

    D

              D is DOUBLE PRECISION array, dimension (N)
              On entry, the N diagonal elements of the tridiagonal
              matrix T.
              On exit, the N diagonal elements of the diagonal
              matrices D_i.

    E

              E is DOUBLE PRECISION array, dimension (N)
              On entry, the first (N-1) entries contain the subdiagonal
              elements of the tridiagonal matrix T; E(N) need not be set.
              On exit, E contains the subdiagonal elements of the unit
              bidiagonal matrices L_i. The entries E( ISPLIT( I ) ),
              1 <= I <= NSPLIT, contain the base points sigma_i on output.

    E2

              E2 is DOUBLE PRECISION array, dimension (N)
              On entry, the first (N-1) entries contain the SQUARES of the
              subdiagonal elements of the tridiagonal matrix T;
              E2(N) need not be set.
              On exit, the entries E2( ISPLIT( I ) ),
              1 <= I <= NSPLIT, have been set to zero

    RTOL1

              RTOL1 is DOUBLE PRECISION

    RTOL2

              RTOL2 is DOUBLE PRECISION
               Parameters for bisection.
               An interval [LEFT,RIGHT] has converged if
               RIGHT-LEFT.LT.MAX( RTOL1*GAP, RTOL2*MAX(|LEFT|,|RIGHT|) )

    SPLTOL

              SPLTOL is DOUBLE PRECISION
              The threshold for splitting.

    NSPLIT

              NSPLIT is INTEGER
              The number of blocks T splits into. 1 <= NSPLIT <= N.

    ISPLIT

              ISPLIT is INTEGER array, dimension (N)
              The splitting points, at which T breaks up into blocks.
              The first block consists of rows/columns 1 to ISPLIT(1),
              the second of rows/columns ISPLIT(1)+1 through ISPLIT(2),
              etc., and the NSPLIT-th consists of rows/columns
              ISPLIT(NSPLIT-1)+1 through ISPLIT(NSPLIT)=N.

    M

              M is INTEGER
              The total number of eigenvalues (of all L_i D_i L_i^T)
              found.

    W

              W is DOUBLE PRECISION array, dimension (N)
              The first M elements contain the eigenvalues. The
              eigenvalues of each of the blocks, L_i D_i L_i^T, are
              sorted in ascending order ( DLARRE may use the
              remaining N-M elements as workspace).

    WERR

              WERR is DOUBLE PRECISION array, dimension (N)
              The error bound on the corresponding eigenvalue in W.

    WGAP

              WGAP is DOUBLE PRECISION array, dimension (N)
              The separation from the right neighbor eigenvalue in W.
              The gap is only with respect to the eigenvalues of the same block
              as each block has its own representation tree.
              Exception: at the right end of a block we store the left gap

    IBLOCK

              IBLOCK is INTEGER array, dimension (N)
              The indices of the blocks (submatrices) associated with the
              corresponding eigenvalues in W; IBLOCK(i)=1 if eigenvalue
              W(i) belongs to the first block from the top, =2 if W(i)
              belongs to the second block, etc.

    INDEXW

              INDEXW is INTEGER array, dimension (N)
              The indices of the eigenvalues within each block (submatrix);
              for example, INDEXW(i)= 10 and IBLOCK(i)=2 imply that the
              i-th eigenvalue W(i) is the 10-th eigenvalue in block 2

    GERS

              GERS is DOUBLE PRECISION array, dimension (2*N)
              The N Gerschgorin intervals (the i-th Gerschgorin interval
              is (GERS(2*i-1), GERS(2*i)).

    PIVMIN

              PIVMIN is DOUBLE PRECISION
              The minimum pivot in the Sturm sequence for T.

    WORK

              WORK is DOUBLE PRECISION array, dimension (6*N)
              Workspace.

    IWORK

              IWORK is INTEGER array, dimension (5*N)
              Workspace.

    INFO

              INFO is INTEGER
              = 0:  successful exit
              > 0:  A problem occurred in DLARRE.
              < 0:  One of the called subroutines signaled an internal problem.
                    Needs inspection of the corresponding parameter IINFO
                    for further information.
              =-1:  Problem in DLARRD.
              = 2:  No base representation could be found in MAXTRY iterations.
                    Increasing MAXTRY and recompilation might be a remedy.
              =-3:  Problem in DLARRB when computing the refined root
                    representation for DLASQ2.
              =-4:  Problem in DLARRB when preforming bisection on the
                    desired part of the spectrum.
              =-5:  Problem in DLASQ2.
              =-6:  Problem in DLASQ2.

Author:
    Univ. of Tennessee

    Univ. of California Berkeley

    Univ. of Colorado Denver

    NAG Ltd.

Date:
    June 2016

Further Details:

      The base representations are required to suffer very little
      element growth and consequently define all their eigenvalues to
      high relative accuracy.

Contributors:
    Beresford Parlett, University of California, Berkeley, USA
     Jim Demmel, University of California, Berkeley, USA
     Inderjit Dhillon, University of Texas, Austin, USA
     Osni Marques, LBNL/NERSC, USA
     Christof Voemel, University of California, Berkeley, USA

Definition at line 307 of file dlarre.f.

  subroutine dlarrf (integer N, double precision, dimension( * ) D, double precision, dimension( * ) L, double precision, dimension( * ) LD, integer CLSTRT, integer CLEND, double precision, dimension( * ) W, double precision, dimension( * ) WGAP, double precision, dimension( * ) WERR, double precision SPDIAM, double precision CLGAPL, double precision CLGAPR, double precision PIVMIN, double precision SIGMA, double precision, dimension( * ) DPLUS, double precision, dimension( * ) LPLUS, double precision, dimension( * ) WORK, integer INFO)

DLARRF finds a new relatively robust representation such that at least one of the eigenvalues is relatively isolated.

Purpose:

     Given the initial representation L D L^T and its cluster of close
     eigenvalues (in a relative measure), W( CLSTRT ), W( CLSTRT+1 ), ...
     W( CLEND ), DLARRF finds a new relatively robust representation
     L D L^T - SIGMA I = L(+) D(+) L(+)^T such that at least one of the
     eigenvalues of L(+) D(+) L(+)^T is relatively isolated.

Parameters:
    N

              N is INTEGER
              The order of the matrix (subblock, if the matrix split).

    D

              D is DOUBLE PRECISION array, dimension (N)
              The N diagonal elements of the diagonal matrix D.

    L

              L is DOUBLE PRECISION array, dimension (N-1)
              The (N-1) subdiagonal elements of the unit bidiagonal
              matrix L.

    LD

              LD is DOUBLE PRECISION array, dimension (N-1)
              The (N-1) elements L(i)*D(i).

    CLSTRT

              CLSTRT is INTEGER
              The index of the first eigenvalue in the cluster.

    CLEND

              CLEND is INTEGER
              The index of the last eigenvalue in the cluster.

    W

              W is DOUBLE PRECISION array, dimension
              dimension is >=  (CLEND-CLSTRT+1)
              The eigenvalue APPROXIMATIONS of L D L^T in ascending order.
              W( CLSTRT ) through W( CLEND ) form the cluster of relatively
              close eigenalues.

    WGAP

              WGAP is DOUBLE PRECISION array, dimension
              dimension is >=  (CLEND-CLSTRT+1)
              The separation from the right neighbor eigenvalue in W.

    WERR

              WERR is DOUBLE PRECISION array, dimension
              dimension is  >=  (CLEND-CLSTRT+1)
              WERR contain the semiwidth of the uncertainty
              interval of the corresponding eigenvalue APPROXIMATION in W

    SPDIAM

              SPDIAM is DOUBLE PRECISION
              estimate of the spectral diameter obtained from the
              Gerschgorin intervals

    CLGAPL

              CLGAPL is DOUBLE PRECISION

    CLGAPR

              CLGAPR is DOUBLE PRECISION
              absolute gap on each end of the cluster.
              Set by the calling routine to protect against shifts too close
              to eigenvalues outside the cluster.

    PIVMIN

              PIVMIN is DOUBLE PRECISION
              The minimum pivot allowed in the Sturm sequence.

    SIGMA

              SIGMA is DOUBLE PRECISION
              The shift used to form L(+) D(+) L(+)^T.

    DPLUS

              DPLUS is DOUBLE PRECISION array, dimension (N)
              The N diagonal elements of the diagonal matrix D(+).

    LPLUS

              LPLUS is DOUBLE PRECISION array, dimension (N-1)
              The first (N-1) elements of LPLUS contain the subdiagonal
              elements of the unit bidiagonal matrix L(+).

    WORK

              WORK is DOUBLE PRECISION array, dimension (2*N)
              Workspace.

    INFO

              INFO is INTEGER
              Signals processing OK (=0) or failure (=1)

Author:
    Univ. of Tennessee

    Univ. of California Berkeley

    Univ. of Colorado Denver

    NAG Ltd.

Date:
    June 2016

Contributors:
    Beresford Parlett, University of California, Berkeley, USA
     Jim Demmel, University of California, Berkeley, USA
     Inderjit Dhillon, University of Texas, Austin, USA
     Osni Marques, LBNL/NERSC, USA
     Christof Voemel, University of California, Berkeley, USA

Definition at line 195 of file dlarrf.f.

  subroutine dlarrj (integer N, double precision, dimension( * ) D, double precision, dimension( * ) E2, integer IFIRST, integer ILAST, double precision RTOL, integer OFFSET, double precision, dimension( * ) W, double precision, dimension( * ) WERR, double precision, dimension( * ) WORK, integer, dimension( * ) IWORK, double precision PIVMIN, double precision SPDIAM, integer INFO)

DLARRJ performs refinement of the initial estimates of the eigenvalues of the matrix T.

Purpose:

     Given the initial eigenvalue approximations of T, DLARRJ
     does  bisection to refine the eigenvalues of T,
     W( IFIRST-OFFSET ) through W( ILAST-OFFSET ), to more accuracy. Initial
     guesses for these eigenvalues are input in W, the corresponding estimate
     of the error in these guesses in WERR. During bisection, intervals
     [left, right] are maintained by storing their mid-points and
     semi-widths in the arrays W and WERR respectively.

Parameters:
    N

              N is INTEGER
              The order of the matrix.

    D

              D is DOUBLE PRECISION array, dimension (N)
              The N diagonal elements of T.

    E2

              E2 is DOUBLE PRECISION array, dimension (N-1)
              The Squares of the (N-1) subdiagonal elements of T.

    IFIRST

              IFIRST is INTEGER
              The index of the first eigenvalue to be computed.

    ILAST

              ILAST is INTEGER
              The index of the last eigenvalue to be computed.

    RTOL

              RTOL is DOUBLE PRECISION
              Tolerance for the convergence of the bisection intervals.
              An interval [LEFT,RIGHT] has converged if
              RIGHT-LEFT.LT.RTOL*MAX(|LEFT|,|RIGHT|).

    OFFSET

              OFFSET is INTEGER
              Offset for the arrays W and WERR, i.e., the IFIRST-OFFSET
              through ILAST-OFFSET elements of these arrays are to be used.

    W

              W is DOUBLE PRECISION array, dimension (N)
              On input, W( IFIRST-OFFSET ) through W( ILAST-OFFSET ) are
              estimates of the eigenvalues of L D L^T indexed IFIRST through
              ILAST.
              On output, these estimates are refined.

    WERR

              WERR is DOUBLE PRECISION array, dimension (N)
              On input, WERR( IFIRST-OFFSET ) through WERR( ILAST-OFFSET ) are
              the errors in the estimates of the corresponding elements in W.
              On output, these errors are refined.

    WORK

              WORK is DOUBLE PRECISION array, dimension (2*N)
              Workspace.

    IWORK

              IWORK is INTEGER array, dimension (2*N)
              Workspace.

    PIVMIN

              PIVMIN is DOUBLE PRECISION
              The minimum pivot in the Sturm sequence for T.

    SPDIAM

              SPDIAM is DOUBLE PRECISION
              The spectral diameter of T.

    INFO

              INFO is INTEGER
              Error flag.

Author:
    Univ. of Tennessee

    Univ. of California Berkeley

    Univ. of Colorado Denver

    NAG Ltd.

Date:
    June 2017

Contributors:
    Beresford Parlett, University of California, Berkeley, USA
     Jim Demmel, University of California, Berkeley, USA
     Inderjit Dhillon, University of Texas, Austin, USA
     Osni Marques, LBNL/NERSC, USA
     Christof Voemel, University of California, Berkeley, USA

Definition at line 170 of file dlarrj.f.

  subroutine dlarrk (integer N, integer IW, double precision GL, double precision GU, double precision, dimension( * ) D, double precision, dimension( * ) E2, double precision PIVMIN, double precision RELTOL, double precision W, double precision WERR, integer INFO)

DLARRK computes one eigenvalue of a symmetric tridiagonal matrix T to suitable accuracy.

Purpose:

     DLARRK computes one eigenvalue of a symmetric tridiagonal
     matrix T to suitable accuracy. This is an auxiliary code to be
     called from DSTEMR.
     To avoid overflow, the matrix must be scaled so that its
     largest element is no greater than overflow**(1/2) * underflow**(1/4) in absolute value, and for greatest
     accuracy, it should not be much smaller than that.
     See W. Kahan "Accurate Eigenvalues of a Symmetric Tridiagonal
     Matrix", Report CS41, Computer Science Dept., Stanford
     University, July 21, 1966.

Parameters:
    N

              N is INTEGER
              The order of the tridiagonal matrix T.  N >= 0.

    IW

              IW is INTEGER
              The index of the eigenvalues to be returned.

    GL

              GL is DOUBLE PRECISION

    GU

              GU is DOUBLE PRECISION
              An upper and a lower bound on the eigenvalue.

    D

              D is DOUBLE PRECISION array, dimension (N)
              The n diagonal elements of the tridiagonal matrix T.

    E2

              E2 is DOUBLE PRECISION array, dimension (N-1)
              The (n-1) squared off-diagonal elements of the tridiagonal matrix T.

    PIVMIN

              PIVMIN is DOUBLE PRECISION
              The minimum pivot allowed in the Sturm sequence for T.

    RELTOL

              RELTOL is DOUBLE PRECISION
              The minimum relative width of an interval.  When an interval
              is narrower than RELTOL times the larger (in
              magnitude) endpoint, then it is considered to be
              sufficiently small, i.e., converged.  Note: this should
              always be at least radix*machine epsilon.

    W

              W is DOUBLE PRECISION

    WERR

              WERR is DOUBLE PRECISION
              The error bound on the corresponding eigenvalue approximation
              in W.

    INFO

              INFO is INTEGER
              = 0:       Eigenvalue converged
              = -1:      Eigenvalue did NOT converge

Internal Parameters:

      FUDGE   DOUBLE PRECISION, default = 2
              A "fudge factor" to widen the Gershgorin intervals.

Author:
    Univ. of Tennessee

    Univ. of California Berkeley

    Univ. of Colorado Denver

    NAG Ltd.

Date:
    June 2017

Definition at line 147 of file dlarrk.f.

  subroutine dlarrr (integer N, double precision, dimension( * ) D, double precision, dimension( * ) E, integer INFO)

DLARRR performs tests to decide whether the symmetric tridiagonal matrix T warrants expensive computations which guarantee high relative accuracy in the eigenvalues.

Purpose:

     Perform tests to decide whether the symmetric tridiagonal matrix T
     warrants expensive computations which guarantee high relative accuracy
     in the eigenvalues.

Parameters:
    N

              N is INTEGER
              The order of the matrix. N > 0.

    D

              D is DOUBLE PRECISION array, dimension (N)
              The N diagonal elements of the tridiagonal matrix T.

    E

              E is DOUBLE PRECISION array, dimension (N)
              On entry, the first (N-1) entries contain the subdiagonal
              elements of the tridiagonal matrix T; E(N) is set to ZERO.

    INFO

              INFO is INTEGER
              INFO = 0(default) : the matrix warrants computations preserving
                                  relative accuracy.
              INFO = 1          : the matrix warrants computations guaranteeing
                                  only absolute accuracy.

Author:
    Univ. of Tennessee

    Univ. of California Berkeley

    Univ. of Colorado Denver

    NAG Ltd.

Date:
    June 2017

Contributors:
    Beresford Parlett, University of California, Berkeley, USA
     Jim Demmel, University of California, Berkeley, USA
     Inderjit Dhillon, University of Texas, Austin, USA
     Osni Marques, LBNL/NERSC, USA
     Christof Voemel, University of California, Berkeley, USA

Definition at line 96 of file dlarrr.f.

  subroutine dlartg (double precision F, double precision G, double precision CS, double precision SN, double precision R)

DLARTG generates a plane rotation with real cosine and real sine.

Purpose:

     DLARTG generate a plane rotation so that
        [  CS  SN  ]  .  [ F ]  =  [ R ]   where CS**2 + SN**2 = 1.
        [ -SN  CS  ]     [ G ]     [ 0 ]
     This is a slower, more accurate version of the BLAS1 routine DROTG,
     with the following other differences:
        F and G are unchanged on return.
        If G=0, then CS=1 and SN=0.
        If F=0 and (G .ne. 0), then CS=0 and SN=1 without doing any
           floating point operations (saves work in DBDSQR when
           there are zeros on the diagonal).
     If F exceeds G in magnitude, CS will be positive.

Parameters:
    F

              F is DOUBLE PRECISION
              The first component of vector to be rotated.

    G

              G is DOUBLE PRECISION
              The second component of vector to be rotated.

    CS

              CS is DOUBLE PRECISION
              The cosine of the rotation.

    SN

              SN is DOUBLE PRECISION
              The sine of the rotation.

    R

              R is DOUBLE PRECISION
              The nonzero component of the rotated vector.
      This version has a few statements commented out for thread safety
      (machine parameters are computed on each entry). 10 feb 03, SJH.

Author:
    Univ. of Tennessee

    Univ. of California Berkeley

    Univ. of Colorado Denver

    NAG Ltd.

Date:
    December 2016

Definition at line 99 of file dlartg.f.

  subroutine dlartgp (double precision F, double precision G, double precision CS, double precision SN, double precision R)

DLARTGP generates a plane rotation so that the diagonal is nonnegative.

Purpose:

     DLARTGP generates a plane rotation so that
        [  CS  SN  ]  .  [ F ]  =  [ R ]   where CS**2 + SN**2 = 1.
        [ -SN  CS  ]     [ G ]     [ 0 ]
     This is a slower, more accurate version of the Level 1 BLAS routine DROTG,
     with the following other differences:
        F and G are unchanged on return.
        If G=0, then CS=(+/-)1 and SN=0.
        If F=0 and (G .ne. 0), then CS=0 and SN=(+/-)1.
     The sign is chosen so that R >= 0.

Parameters:
    F

              F is DOUBLE PRECISION
              The first component of vector to be rotated.

    G

              G is DOUBLE PRECISION
              The second component of vector to be rotated.

    CS

              CS is DOUBLE PRECISION
              The cosine of the rotation.

    SN

              SN is DOUBLE PRECISION
              The sine of the rotation.

    R

              R is DOUBLE PRECISION
              The nonzero component of the rotated vector.
      This version has a few statements commented out for thread safety
      (machine parameters are computed on each entry). 10 feb 03, SJH.

Author:
    Univ. of Tennessee

    Univ. of California Berkeley

    Univ. of Colorado Denver

    NAG Ltd.

Date:
    December 2016

Definition at line 97 of file dlartgp.f.

  subroutine dlaruv (integer, dimension( 4 ) ISEED, integer N, double precision, dimension( n ) X)

DLARUV returns a vector of n random real numbers from a uniform distribution.

Purpose:

     DLARUV returns a vector of n random real numbers from a uniform (0,1)
     distribution (n <= 128).
     This is an auxiliary routine called by DLARNV and ZLARNV.

Parameters:
    ISEED

              ISEED is INTEGER array, dimension (4)
              On entry, the seed of the random number generator; the array
              elements must be between 0 and 4095, and ISEED(4) must be
              odd.
              On exit, the seed is updated.

    N

              N is INTEGER
              The number of random numbers to be generated. N <= 128.

    X

              X is DOUBLE PRECISION array, dimension (N)
              The generated random numbers.

Author:
    Univ. of Tennessee

    Univ. of California Berkeley

    Univ. of Colorado Denver

    NAG Ltd.

Date:
    December 2016

Further Details:

      This routine uses a multiplicative congruential method with modulus
      2**48 and multiplier 33952834046453 (see G.S.Fishman,
      'Multiplicative congruential random number generators with modulus
      2**b: an exhaustive analysis for b = 32 and a partial analysis for
      b = 48', Math. Comp. 189, pp 331-344, 1990).
      48-bit integers are stored in 4 integer array elements with 12 bits
      per element. Hence the routine is portable across machines with
      integers of 32 bits or more.

Definition at line 97 of file dlaruv.f.

  subroutine dlas2 (double precision F, double precision G, double precision H, double precision SSMIN, double precision SSMAX)

DLAS2 computes singular values of a 2-by-2 triangular matrix.

Purpose:

     DLAS2  computes the singular values of the 2-by-2 matrix
        [  F   G  ]
        [  0   H  ].
     On return, SSMIN is the smaller singular value and SSMAX is the
     larger singular value.

Parameters:
    F

              F is DOUBLE PRECISION
              The (1,1) element of the 2-by-2 matrix.

    G

              G is DOUBLE PRECISION
              The (1,2) element of the 2-by-2 matrix.

    H

              H is DOUBLE PRECISION
              The (2,2) element of the 2-by-2 matrix.

    SSMIN

              SSMIN is DOUBLE PRECISION
              The smaller singular value.

    SSMAX

              SSMAX is DOUBLE PRECISION
              The larger singular value.

Author:
    Univ. of Tennessee

    Univ. of California Berkeley

    Univ. of Colorado Denver

    NAG Ltd.

Date:
    December 2016

Further Details:

      Barring over/underflow, all output quantities are correct to within
      a few units in the last place (ulps), even in the absence of a guard
      digit in addition/subtraction.
      In IEEE arithmetic, the code works correctly if one matrix element is
      infinite.
      Overflow will not occur unless the largest singular value itself
      overflows, or is within a few ulps of overflow. (On machines with
      partial overflow, like the Cray, overflow may occur if the largest
      singular value is within a factor of 2 of overflow.)
      Underflow is harmless if underflow is gradual. Otherwise, results
      may correspond to a matrix modified by perturbations of size near
      the underflow threshold.

Definition at line 109 of file dlas2.f.

  subroutine dlascl (character TYPE, integer KL, integer KU, double precision CFROM, double precision CTO, integer M, integer N, double precision, dimension( lda, * ) A, integer LDA, integer INFO)

DLASCL multiplies a general rectangular matrix by a real scalar defined as cto/cfrom.

Purpose:

     DLASCL multiplies the M by N real matrix A by the real scalar
     CTO/CFROM.  This is done without over/underflow as long as the final
     result CTO*A(I,J)/CFROM does not over/underflow. TYPE specifies that
     A may be full, upper triangular, lower triangular, upper Hessenberg,
     or banded.

Parameters:
    TYPE

              TYPE is CHARACTER*1
              TYPE indices the storage type of the input matrix.
              = 'G':  A is a full matrix.
              = 'L':  A is a lower triangular matrix.
              = 'U':  A is an upper triangular matrix.
              = 'H':  A is an upper Hessenberg matrix.
              = 'B':  A is a symmetric band matrix with lower bandwidth KL
                      and upper bandwidth KU and with the only the lower
                      half stored.
              = 'Q':  A is a symmetric band matrix with lower bandwidth KL
                      and upper bandwidth KU and with the only the upper
                      half stored.
              = 'Z':  A is a band matrix with lower bandwidth KL and upper
                      bandwidth KU. See DGBTRF for storage details.

    KL

              KL is INTEGER
              The lower bandwidth of A.  Referenced only if TYPE = 'B',
              'Q' or 'Z'.

    KU

              KU is INTEGER
              The upper bandwidth of A.  Referenced only if TYPE = 'B',
              'Q' or 'Z'.

    CFROM

              CFROM is DOUBLE PRECISION

    CTO

              CTO is DOUBLE PRECISION
              The matrix A is multiplied by CTO/CFROM. A(I,J) is computed
              without over/underflow if the final result CTO*A(I,J)/CFROM
              can be represented without over/underflow.  CFROM must be
              nonzero.

    M

              M is INTEGER
              The number of rows of the matrix A.  M >= 0.

    N

              N is INTEGER
              The number of columns of the matrix A.  N >= 0.

    A

              A is DOUBLE PRECISION array, dimension (LDA,N)
              The matrix to be multiplied by CTO/CFROM.  See TYPE for the
              storage type.

    LDA

              LDA is INTEGER
              The leading dimension of the array A.
              If TYPE = 'G', 'L', 'U', 'H', LDA >= max(1,M);
                 TYPE = 'B', LDA >= KL+1;
                 TYPE = 'Q', LDA >= KU+1;
                 TYPE = 'Z', LDA >= 2*KL+KU+1.

    INFO

              INFO is INTEGER
              0  - successful exit
              <0 - if INFO = -i, the i-th argument had an illegal value.

Author:
    Univ. of Tennessee

    Univ. of California Berkeley

    Univ. of Colorado Denver

    NAG Ltd.

Date:
    June 2016

Definition at line 145 of file dlascl.f.

  subroutine dlasd0 (integer N, integer SQRE, double precision, dimension( * ) D, double precision, dimension( * ) E, double precision, dimension( ldu, * ) U, integer LDU, double precision, dimension( ldvt, * ) VT, integer LDVT, integer SMLSIZ, integer, dimension( * ) IWORK, double precision, dimension( * ) WORK, integer INFO)

DLASD0 computes the singular values of a real upper bidiagonal n-by-m matrix B with diagonal d and off-diagonal e. Used by sbdsdc.

Purpose:

     Using a divide and conquer approach, DLASD0 computes the singular
     value decomposition (SVD) of a real upper bidiagonal N-by-M
     matrix B with diagonal D and offdiagonal E, where M = N + SQRE.
     The algorithm computes orthogonal matrices U and VT such that
     B = U * S * VT. The singular values S are overwritten on D.
     A related subroutine, DLASDA, computes only the singular values,
     and optionally, the singular vectors in compact form.

Parameters:
    N

              N is INTEGER
             On entry, the row dimension of the upper bidiagonal matrix.
             This is also the dimension of the main diagonal array D.

    SQRE

              SQRE is INTEGER
             Specifies the column dimension of the bidiagonal matrix.
             = 0: The bidiagonal matrix has column dimension M = N;
             = 1: The bidiagonal matrix has column dimension M = N+1;

    D

              D is DOUBLE PRECISION array, dimension (N)
             On entry D contains the main diagonal of the bidiagonal
             matrix.
             On exit D, if INFO = 0, contains its singular values.

    E

              E is DOUBLE PRECISION array, dimension (M-1)
             Contains the subdiagonal entries of the bidiagonal matrix.
             On exit, E has been destroyed.

    U

              U is DOUBLE PRECISION array, dimension (LDU, N)
             On exit, U contains the left singular vectors.

    LDU

              LDU is INTEGER
             On entry, leading dimension of U.

    VT

              VT is DOUBLE PRECISION array, dimension (LDVT, M)
             On exit, VT**T contains the right singular vectors.

    LDVT

              LDVT is INTEGER
             On entry, leading dimension of VT.

    SMLSIZ

              SMLSIZ is INTEGER
             On entry, maximum size of the subproblems at the
             bottom of the computation tree.

    IWORK

              IWORK is INTEGER array, dimension (8*N)

    WORK

              WORK is DOUBLE PRECISION array, dimension (3*M**2+2*M)

    INFO

              INFO is INTEGER
              = 0:  successful exit.
              < 0:  if INFO = -i, the i-th argument had an illegal value.
              > 0:  if INFO = 1, a singular value did not converge

Author:
    Univ. of Tennessee

    Univ. of California Berkeley

    Univ. of Colorado Denver

    NAG Ltd.

Date:
    June 2017

Contributors:
    Ming Gu and Huan Ren, Computer Science Division, University of California at Berkeley, USA

Definition at line 152 of file dlasd0.f.

  subroutine dlasd1 (integer NL, integer NR, integer SQRE, double precision, dimension( * ) D, double precision ALPHA, double precision BETA, double precision, dimension( ldu, * ) U, integer LDU, double precision, dimension( ldvt, * ) VT, integer LDVT, integer, dimension( * ) IDXQ, integer, dimension( * ) IWORK, double precision, dimension( * ) WORK, integer INFO)

DLASD1 computes the SVD of an upper bidiagonal matrix B of the specified size. Used by sbdsdc.

Purpose:

     DLASD1 computes the SVD of an upper bidiagonal N-by-M matrix B,
     where N = NL + NR + 1 and M = N + SQRE. DLASD1 is called from DLASD0.
     A related subroutine DLASD7 handles the case in which the singular
     values (and the singular vectors in factored form) are desired.
     DLASD1 computes the SVD as follows:
                   ( D1(in)    0    0       0 )
       B = U(in) * (   Z1**T   a   Z2**T    b ) * VT(in)
                   (   0       0   D2(in)   0 )
         = U(out) * ( D(out) 0) * VT(out)
     where Z**T = (Z1**T a Z2**T b) = u**T VT**T, and u is a vector of dimension M
     with ALPHA and BETA in the NL+1 and NL+2 th entries and zeros
     elsewhere; and the entry b is empty if SQRE = 0.
     The left singular vectors of the original matrix are stored in U, and
     the transpose of the right singular vectors are stored in VT, and the
     singular values are in D.  The algorithm consists of three stages:
        The first stage consists of deflating the size of the problem
        when there are multiple singular values or when there are zeros in
        the Z vector.  For each such occurrence the dimension of the
        secular equation problem is reduced by one.  This stage is
        performed by the routine DLASD2.
        The second stage consists of calculating the updated
        singular values. This is done by finding the square roots of the
        roots of the secular equation via the routine DLASD4 (as called
        by DLASD3). This routine also calculates the singular vectors of
        the current problem.
        The final stage consists of computing the updated singular vectors
        directly using the updated singular values.  The singular vectors
        for the current problem are multiplied with the singular vectors
        from the overall problem.

Parameters:
    NL

              NL is INTEGER
             The row dimension of the upper block.  NL >= 1.

    NR

              NR is INTEGER
             The row dimension of the lower block.  NR >= 1.

    SQRE

              SQRE is INTEGER
             = 0: the lower block is an NR-by-NR square matrix.
             = 1: the lower block is an NR-by-(NR+1) rectangular matrix.
             The bidiagonal matrix has row dimension N = NL + NR + 1,
             and column dimension M = N + SQRE.

    D

              D is DOUBLE PRECISION array,
                            dimension (N = NL+NR+1).
             On entry D(1:NL,1:NL) contains the singular values of the
             upper block; and D(NL+2:N) contains the singular values of
             the lower block. On exit D(1:N) contains the singular values
             of the modified matrix.

    ALPHA

              ALPHA is DOUBLE PRECISION
             Contains the diagonal element associated with the added row.

    BETA

              BETA is DOUBLE PRECISION
             Contains the off-diagonal element associated with the added
             row.

    U

              U is DOUBLE PRECISION array, dimension(LDU,N)
             On entry U(1:NL, 1:NL) contains the left singular vectors of
             the upper block; U(NL+2:N, NL+2:N) contains the left singular
             vectors of the lower block. On exit U contains the left
             singular vectors of the bidiagonal matrix.

    LDU

              LDU is INTEGER
             The leading dimension of the array U.  LDU >= max( 1, N ).

    VT

              VT is DOUBLE PRECISION array, dimension(LDVT,M)
             where M = N + SQRE.
             On entry VT(1:NL+1, 1:NL+1)**T contains the right singular
             vectors of the upper block; VT(NL+2:M, NL+2:M)**T contains
             the right singular vectors of the lower block. On exit
             VT**T contains the right singular vectors of the
             bidiagonal matrix.

    LDVT

              LDVT is INTEGER
             The leading dimension of the array VT.  LDVT >= max( 1, M ).

    IDXQ

              IDXQ is INTEGER array, dimension(N)
             This contains the permutation which will reintegrate the
             subproblem just solved back into sorted order, i.e.
             D( IDXQ( I = 1, N ) ) will be in ascending order.

    IWORK

              IWORK is INTEGER array, dimension( 4 * N )

    WORK

              WORK is DOUBLE PRECISION array, dimension( 3*M**2 + 2*M )

    INFO

              INFO is INTEGER
              = 0:  successful exit.
              < 0:  if INFO = -i, the i-th argument had an illegal value.
              > 0:  if INFO = 1, a singular value did not converge

Author:
    Univ. of Tennessee

    Univ. of California Berkeley

    Univ. of Colorado Denver

    NAG Ltd.

Date:
    June 2016

Contributors:
    Ming Gu and Huan Ren, Computer Science Division, University of California at Berkeley, USA

Definition at line 206 of file dlasd1.f.

  subroutine dlasd2 (integer NL, integer NR, integer SQRE, integer K, double precision, dimension( * ) D, double precision, dimension( * ) Z, double precision ALPHA, double precision BETA, double precision, dimension( ldu, * ) U, integer LDU, double precision, dimension( ldvt, * ) VT, integer LDVT, double precision, dimension( * ) DSIGMA, double precision, dimension( ldu2, * ) U2, integer LDU2, double precision, dimension( ldvt2, * ) VT2, integer LDVT2, integer, dimension( * ) IDXP, integer, dimension( * ) IDX, integer, dimension( * ) IDXC, integer, dimension( * ) IDXQ, integer, dimension( * ) COLTYP, integer INFO)

DLASD2 merges the two sets of singular values together into a single sorted set. Used by sbdsdc.

Purpose:

     DLASD2 merges the two sets of singular values together into a single
     sorted set.  Then it tries to deflate the size of the problem.
     There are two ways in which deflation can occur:  when two or more
     singular values are close together or if there is a tiny entry in the
     Z vector.  For each such occurrence the order of the related secular
     equation problem is reduced by one.
     DLASD2 is called from DLASD1.

Parameters:
    NL

              NL is INTEGER
             The row dimension of the upper block.  NL >= 1.

    NR

              NR is INTEGER
             The row dimension of the lower block.  NR >= 1.

    SQRE

              SQRE is INTEGER
             = 0: the lower block is an NR-by-NR square matrix.
             = 1: the lower block is an NR-by-(NR+1) rectangular matrix.
             The bidiagonal matrix has N = NL + NR + 1 rows and
             M = N + SQRE >= N columns.

    K

              K is INTEGER
             Contains the dimension of the non-deflated matrix,
             This is the order of the related secular equation. 1 <= K <=N.

    D

              D is DOUBLE PRECISION array, dimension(N)
             On entry D contains the singular values of the two submatrices
             to be combined.  On exit D contains the trailing (N-K) updated
             singular values (those which were deflated) sorted into
             increasing order.

    Z

              Z is DOUBLE PRECISION array, dimension(N)
             On exit Z contains the updating row vector in the secular
             equation.

    ALPHA

              ALPHA is DOUBLE PRECISION
             Contains the diagonal element associated with the added row.

    BETA

              BETA is DOUBLE PRECISION
             Contains the off-diagonal element associated with the added
             row.

    U

              U is DOUBLE PRECISION array, dimension(LDU,N)
             On entry U contains the left singular vectors of two
             submatrices in the two square blocks with corners at (1,1),
             (NL, NL), and (NL+2, NL+2), (N,N).
             On exit U contains the trailing (N-K) updated left singular
             vectors (those which were deflated) in its last N-K columns.

    LDU

              LDU is INTEGER
             The leading dimension of the array U.  LDU >= N.

    VT

              VT is DOUBLE PRECISION array, dimension(LDVT,M)
             On entry VT**T contains the right singular vectors of two
             submatrices in the two square blocks with corners at (1,1),
             (NL+1, NL+1), and (NL+2, NL+2), (M,M).
             On exit VT**T contains the trailing (N-K) updated right singular
             vectors (those which were deflated) in its last N-K columns.
             In case SQRE =1, the last row of VT spans the right null
             space.

    LDVT

              LDVT is INTEGER
             The leading dimension of the array VT.  LDVT >= M.

    DSIGMA

              DSIGMA is DOUBLE PRECISION array, dimension (N)
             Contains a copy of the diagonal elements (K-1 singular values
             and one zero) in the secular equation.

    U2

              U2 is DOUBLE PRECISION array, dimension(LDU2,N)
             Contains a copy of the first K-1 left singular vectors which
             will be used by DLASD3 in a matrix multiply (DGEMM) to solve
             for the new left singular vectors. U2 is arranged into four
             blocks. The first block contains a column with 1 at NL+1 and
             zero everywhere else; the second block contains non-zero
             entries only at and above NL; the third contains non-zero
             entries only below NL+1; and the fourth is dense.

    LDU2

              LDU2 is INTEGER
             The leading dimension of the array U2.  LDU2 >= N.

    VT2

              VT2 is DOUBLE PRECISION array, dimension(LDVT2,N)
             VT2**T contains a copy of the first K right singular vectors
             which will be used by DLASD3 in a matrix multiply (DGEMM) to
             solve for the new right singular vectors. VT2 is arranged into
             three blocks. The first block contains a row that corresponds
             to the special 0 diagonal element in SIGMA; the second block
             contains non-zeros only at and before NL +1; the third block
             contains non-zeros only at and after  NL +2.

    LDVT2

              LDVT2 is INTEGER
             The leading dimension of the array VT2.  LDVT2 >= M.

    IDXP

              IDXP is INTEGER array, dimension(N)
             This will contain the permutation used to place deflated
             values of D at the end of the array. On output IDXP(2:K)
             points to the nondeflated D-values and IDXP(K+1:N)
             points to the deflated singular values.

    IDX

              IDX is INTEGER array, dimension(N)
             This will contain the permutation used to sort the contents of
             D into ascending order.

    IDXC

              IDXC is INTEGER array, dimension(N)
             This will contain the permutation used to arrange the columns
             of the deflated U matrix into three groups:  the first group
             contains non-zero entries only at and above NL, the second
             contains non-zero entries only below NL+2, and the third is
             dense.

    IDXQ

              IDXQ is INTEGER array, dimension(N)
             This contains the permutation which separately sorts the two
             sub-problems in D into ascending order.  Note that entries in
             the first hlaf of this permutation must first be moved one
             position backward; and entries in the second half
             must first have NL+1 added to their values.

    COLTYP

              COLTYP is INTEGER array, dimension(N)
             As workspace, this will contain a label which will indicate
             which of the following types a column in the U2 matrix or a
             row in the VT2 matrix is:
             1 : non-zero in the upper half only
             2 : non-zero in the lower half only
             3 : dense
             4 : deflated
             On exit, it is an array of dimension 4, with COLTYP(I) being
             the dimension of the I-th type columns.

    INFO

              INFO is INTEGER
              = 0:  successful exit.
              < 0:  if INFO = -i, the i-th argument had an illegal value.

Author:
    Univ. of Tennessee

    Univ. of California Berkeley

    Univ. of Colorado Denver

    NAG Ltd.

Date:
    June 2017

Contributors:
    Ming Gu and Huan Ren, Computer Science Division, University of California at Berkeley, USA

Definition at line 271 of file dlasd2.f.

  subroutine dlasd3 (integer NL, integer NR, integer SQRE, integer K, double precision, dimension( * ) D, double precision, dimension( ldq, * ) Q, integer LDQ, double precision, dimension( * ) DSIGMA, double precision, dimension( ldu, * ) U, integer LDU, double precision, dimension( ldu2, * ) U2, integer LDU2, double precision, dimension( ldvt, * ) VT, integer LDVT, double precision, dimension( ldvt2, * ) VT2, integer LDVT2, integer, dimension( * ) IDXC, integer, dimension( * ) CTOT, double precision, dimension( * ) Z, integer INFO)

DLASD3 finds all square roots of the roots of the secular equation, as defined by the values in D and Z, and then updates the singular vectors by matrix multiplication. Used by sbdsdc.

Purpose:

     DLASD3 finds all the square roots of the roots of the secular
     equation, as defined by the values in D and Z.  It makes the
     appropriate calls to DLASD4 and then updates the singular
     vectors by matrix multiplication.
     This code makes very mild assumptions about floating point
     arithmetic. It will work on machines with a guard digit in
     add/subtract, or on those binary machines without guard digits
     which subtract like the Cray XMP, Cray YMP, Cray C 90, or Cray 2.
     It could conceivably fail on hexadecimal or decimal machines
     without guard digits, but we know of none.
     DLASD3 is called from DLASD1.

Parameters:
    NL

              NL is INTEGER
             The row dimension of the upper block.  NL >= 1.

    NR

              NR is INTEGER
             The row dimension of the lower block.  NR >= 1.

    SQRE

              SQRE is INTEGER
             = 0: the lower block is an NR-by-NR square matrix.
             = 1: the lower block is an NR-by-(NR+1) rectangular matrix.
             The bidiagonal matrix has N = NL + NR + 1 rows and
             M = N + SQRE >= N columns.

    K

              K is INTEGER
             The size of the secular equation, 1 =< K = < N.

    D

              D is DOUBLE PRECISION array, dimension(K)
             On exit the square roots of the roots of the secular equation,
             in ascending order.

    Q

              Q is DOUBLE PRECISION array, dimension (LDQ,K)

    LDQ

              LDQ is INTEGER
             The leading dimension of the array Q.  LDQ >= K.

    DSIGMA

              DSIGMA is DOUBLE PRECISION array, dimension(K)
             The first K elements of this array contain the old roots
             of the deflated updating problem.  These are the poles
             of the secular equation.

    U

              U is DOUBLE PRECISION array, dimension (LDU, N)
             The last N - K columns of this matrix contain the deflated
             left singular vectors.

    LDU

              LDU is INTEGER
             The leading dimension of the array U.  LDU >= N.

    U2

              U2 is DOUBLE PRECISION array, dimension (LDU2, N)
             The first K columns of this matrix contain the non-deflated
             left singular vectors for the split problem.

    LDU2

              LDU2 is INTEGER
             The leading dimension of the array U2.  LDU2 >= N.

    VT

              VT is DOUBLE PRECISION array, dimension (LDVT, M)
             The last M - K columns of VT**T contain the deflated
             right singular vectors.

    LDVT

              LDVT is INTEGER
             The leading dimension of the array VT.  LDVT >= N.

    VT2

              VT2 is DOUBLE PRECISION array, dimension (LDVT2, N)
             The first K columns of VT2**T contain the non-deflated
             right singular vectors for the split problem.

    LDVT2

              LDVT2 is INTEGER
             The leading dimension of the array VT2.  LDVT2 >= N.

    IDXC

              IDXC is INTEGER array, dimension ( N )
             The permutation used to arrange the columns of U (and rows of
             VT) into three groups:  the first group contains non-zero
             entries only at and above (or before) NL +1; the second
             contains non-zero entries only at and below (or after) NL+2;
             and the third is dense. The first column of U and the row of
             VT are treated separately, however.
             The rows of the singular vectors found by DLASD4
             must be likewise permuted before the matrix multiplies can
             take place.

    CTOT

              CTOT is INTEGER array, dimension ( 4 )
             A count of the total number of the various types of columns
             in U (or rows in VT), as described in IDXC. The fourth column
             type is any column which has been deflated.

    Z

              Z is DOUBLE PRECISION array, dimension (K)
             The first K elements of this array contain the components
             of the deflation-adjusted updating row vector.

    INFO

              INFO is INTEGER
             = 0:  successful exit.
             < 0:  if INFO = -i, the i-th argument had an illegal value.
             > 0:  if INFO = 1, a singular value did not converge

Author:
    Univ. of Tennessee

    Univ. of California Berkeley

    Univ. of Colorado Denver

    NAG Ltd.

Date:
    June 2017

Contributors:
    Ming Gu and Huan Ren, Computer Science Division, University of California at Berkeley, USA

Definition at line 226 of file dlasd3.f.

  subroutine dlasd4 (integer N, integer I, double precision, dimension( * ) D, double precision, dimension( * ) Z, double precision, dimension( * ) DELTA, double precision RHO, double precision SIGMA, double precision, dimension( * ) WORK, integer INFO)

DLASD4 computes the square root of the i-th updated eigenvalue of a positive symmetric rank-one modification to a positive diagonal matrix. Used by dbdsdc.

Purpose:

     This subroutine computes the square root of the I-th updated
     eigenvalue of a positive symmetric rank-one modification to
     a positive diagonal matrix whose entries are given as the squares
     of the corresponding entries in the array d, and that
            0 <= D(i) < D(j)  for  i < j
     and that RHO > 0. This is arranged by the calling routine, and is
     no loss in generality.  The rank-one modified system is thus
            diag( D ) * diag( D ) +  RHO * Z * Z_transpose.
     where we assume the Euclidean norm of Z is 1.
     The method consists of approximating the rational functions in the
     secular equation by simpler interpolating rational functions.

Parameters:
    N

              N is INTEGER
             The length of all arrays.

    I

              I is INTEGER
             The index of the eigenvalue to be computed.  1 <= I <= N.

    D

              D is DOUBLE PRECISION array, dimension ( N )
             The original eigenvalues.  It is assumed that they are in
             order, 0 <= D(I) < D(J)  for I < J.

    Z

              Z is DOUBLE PRECISION array, dimension ( N )
             The components of the updating vector.

    DELTA

              DELTA is DOUBLE PRECISION array, dimension ( N )
             If N .ne. 1, DELTA contains (D(j) - sigma_I) in its  j-th
             component.  If N = 1, then DELTA(1) = 1.  The vector DELTA
             contains the information necessary to construct the
             (singular) eigenvectors.

    RHO

              RHO is DOUBLE PRECISION
             The scalar in the symmetric updating formula.

    SIGMA

              SIGMA is DOUBLE PRECISION
             The computed sigma_I, the I-th updated eigenvalue.

    WORK

              WORK is DOUBLE PRECISION array, dimension ( N )
             If N .ne. 1, WORK contains (D(j) + sigma_I) in its  j-th
             component.  If N = 1, then WORK( 1 ) = 1.

    INFO

              INFO is INTEGER
             = 0:  successful exit
             > 0:  if INFO = 1, the updating process failed.

Internal Parameters:

      Logical variable ORGATI (origin-at-i?) is used for distinguishing
      whether D(i) or D(i+1) is treated as the origin.
                ORGATI = .true.    origin at i
                ORGATI = .false.   origin at i+1
      Logical variable SWTCH3 (switch-for-3-poles?) is for noting
      if we are working with THREE poles!
      MAXIT is the maximum number of iterations allowed for each
      eigenvalue.

Author:
    Univ. of Tennessee

    Univ. of California Berkeley

    Univ. of Colorado Denver

    NAG Ltd.

Date:
    December 2016

Contributors:
    Ren-Cang Li, Computer Science Division, University of California at Berkeley, USA

Definition at line 155 of file dlasd4.f.

  subroutine dlasd5 (integer I, double precision, dimension( 2 ) D, double precision, dimension( 2 ) Z, double precision, dimension( 2 ) DELTA, double precision RHO, double precision DSIGMA, double precision, dimension( 2 ) WORK)

DLASD5 computes the square root of the i-th eigenvalue of a positive symmetric rank-one modification of a 2-by-2 diagonal matrix. Used by sbdsdc.

Purpose:

     This subroutine computes the square root of the I-th eigenvalue
     of a positive symmetric rank-one modification of a 2-by-2 diagonal
     matrix
                diag( D ) * diag( D ) +  RHO * Z * transpose(Z) .
     The diagonal entries in the array D are assumed to satisfy
                0 <= D(i) < D(j)  for  i < j .
     We also assume RHO > 0 and that the Euclidean norm of the vector
     Z is one.

Parameters:
    I

              I is INTEGER
             The index of the eigenvalue to be computed.  I = 1 or I = 2.

    D

              D is DOUBLE PRECISION array, dimension ( 2 )
             The original eigenvalues.  We assume 0 <= D(1) < D(2).

    Z

              Z is DOUBLE PRECISION array, dimension ( 2 )
             The components of the updating vector.

    DELTA

              DELTA is DOUBLE PRECISION array, dimension ( 2 )
             Contains (D(j) - sigma_I) in its  j-th component.
             The vector DELTA contains the information necessary
             to construct the eigenvectors.

    RHO

              RHO is DOUBLE PRECISION
             The scalar in the symmetric updating formula.

    DSIGMA

              DSIGMA is DOUBLE PRECISION
             The computed sigma_I, the I-th updated eigenvalue.

    WORK

              WORK is DOUBLE PRECISION array, dimension ( 2 )
             WORK contains (D(j) + sigma_I) in its  j-th component.

Author:
    Univ. of Tennessee

    Univ. of California Berkeley

    Univ. of Colorado Denver

    NAG Ltd.

Date:
    December 2016

Contributors:
    Ren-Cang Li, Computer Science Division, University of California at Berkeley, USA

Definition at line 118 of file dlasd5.f.

  subroutine dlasd6 (integer ICOMPQ, integer NL, integer NR, integer SQRE, double precision, dimension( * ) D, double precision, dimension( * ) VF, double precision, dimension( * ) VL, double precision ALPHA, double precision BETA, integer, dimension( * ) IDXQ, integer, dimension( * ) PERM, integer GIVPTR, integer, dimension( ldgcol, * ) GIVCOL, integer LDGCOL, double precision, dimension( ldgnum, * ) GIVNUM, integer LDGNUM, double precision, dimension( ldgnum, * ) POLES, double precision, dimension( * ) DIFL, double precision, dimension( * ) DIFR, double precision, dimension( * ) Z, integer K, double precision C, double precision S, double precision, dimension( * ) WORK, integer, dimension( * ) IWORK, integer INFO)

DLASD6 computes the SVD of an updated upper bidiagonal matrix obtained by merging two smaller ones by appending a row. Used by sbdsdc.

Purpose:

     DLASD6 computes the SVD of an updated upper bidiagonal matrix B
     obtained by merging two smaller ones by appending a row. This
     routine is used only for the problem which requires all singular
     values and optionally singular vector matrices in factored form.
     B is an N-by-M matrix with N = NL + NR + 1 and M = N + SQRE.
     A related subroutine, DLASD1, handles the case in which all singular
     values and singular vectors of the bidiagonal matrix are desired.
     DLASD6 computes the SVD as follows:
                   ( D1(in)    0    0       0 )
       B = U(in) * (   Z1**T   a   Z2**T    b ) * VT(in)
                   (   0       0   D2(in)   0 )
         = U(out) * ( D(out) 0) * VT(out)
     where Z**T = (Z1**T a Z2**T b) = u**T VT**T, and u is a vector of dimension M
     with ALPHA and BETA in the NL+1 and NL+2 th entries and zeros
     elsewhere; and the entry b is empty if SQRE = 0.
     The singular values of B can be computed using D1, D2, the first
     components of all the right singular vectors of the lower block, and
     the last components of all the right singular vectors of the upper
     block. These components are stored and updated in VF and VL,
     respectively, in DLASD6. Hence U and VT are not explicitly
     referenced.
     The singular values are stored in D. The algorithm consists of two
     stages:
           The first stage consists of deflating the size of the problem
           when there are multiple singular values or if there is a zero
           in the Z vector. For each such occurrence the dimension of the
           secular equation problem is reduced by one. This stage is
           performed by the routine DLASD7.
           The second stage consists of calculating the updated
           singular values. This is done by finding the roots of the
           secular equation via the routine DLASD4 (as called by DLASD8).
           This routine also updates VF and VL and computes the distances
           between the updated singular values and the old singular
           values.
     DLASD6 is called from DLASDA.

Parameters:
    ICOMPQ

              ICOMPQ is INTEGER
             Specifies whether singular vectors are to be computed in
             factored form:
             = 0: Compute singular values only.
             = 1: Compute singular vectors in factored form as well.

    NL

              NL is INTEGER
             The row dimension of the upper block.  NL >= 1.

    NR

              NR is INTEGER
             The row dimension of the lower block.  NR >= 1.

    SQRE

              SQRE is INTEGER
             = 0: the lower block is an NR-by-NR square matrix.
             = 1: the lower block is an NR-by-(NR+1) rectangular matrix.
             The bidiagonal matrix has row dimension N = NL + NR + 1,
             and column dimension M = N + SQRE.

    D

              D is DOUBLE PRECISION array, dimension ( NL+NR+1 ).
             On entry D(1:NL,1:NL) contains the singular values of the
             upper block, and D(NL+2:N) contains the singular values
             of the lower block. On exit D(1:N) contains the singular
             values of the modified matrix.

    VF

              VF is DOUBLE PRECISION array, dimension ( M )
             On entry, VF(1:NL+1) contains the first components of all
             right singular vectors of the upper block; and VF(NL+2:M)
             contains the first components of all right singular vectors
             of the lower block. On exit, VF contains the first components
             of all right singular vectors of the bidiagonal matrix.

    VL

              VL is DOUBLE PRECISION array, dimension ( M )
             On entry, VL(1:NL+1) contains the  last components of all
             right singular vectors of the upper block; and VL(NL+2:M)
             contains the last components of all right singular vectors of
             the lower block. On exit, VL contains the last components of
             all right singular vectors of the bidiagonal matrix.

    ALPHA

              ALPHA is DOUBLE PRECISION
             Contains the diagonal element associated with the added row.

    BETA

              BETA is DOUBLE PRECISION
             Contains the off-diagonal element associated with the added
             row.

    IDXQ

              IDXQ is INTEGER array, dimension ( N )
             This contains the permutation which will reintegrate the
             subproblem just solved back into sorted order, i.e.
             D( IDXQ( I = 1, N ) ) will be in ascending order.

    PERM

              PERM is INTEGER array, dimension ( N )
             The permutations (from deflation and sorting) to be applied
             to each block. Not referenced if ICOMPQ = 0.

    GIVPTR

              GIVPTR is INTEGER
             The number of Givens rotations which took place in this
             subproblem. Not referenced if ICOMPQ = 0.

    GIVCOL

              GIVCOL is INTEGER array, dimension ( LDGCOL, 2 )
             Each pair of numbers indicates a pair of columns to take place
             in a Givens rotation. Not referenced if ICOMPQ = 0.

    LDGCOL

              LDGCOL is INTEGER
             leading dimension of GIVCOL, must be at least N.

    GIVNUM

              GIVNUM is DOUBLE PRECISION array, dimension ( LDGNUM, 2 )
             Each number indicates the C or S value to be used in the
             corresponding Givens rotation. Not referenced if ICOMPQ = 0.

    LDGNUM

              LDGNUM is INTEGER
             The leading dimension of GIVNUM and POLES, must be at least N.

    POLES

              POLES is DOUBLE PRECISION array, dimension ( LDGNUM, 2 )
             On exit, POLES(1,*) is an array containing the new singular
             values obtained from solving the secular equation, and
             POLES(2,*) is an array containing the poles in the secular
             equation. Not referenced if ICOMPQ = 0.

    DIFL

              DIFL is DOUBLE PRECISION array, dimension ( N )
             On exit, DIFL(I) is the distance between I-th updated
             (undeflated) singular value and the I-th (undeflated) old
             singular value.

    DIFR

              DIFR is DOUBLE PRECISION array,
                       dimension ( LDDIFR, 2 ) if ICOMPQ = 1 and
                       dimension ( K ) if ICOMPQ = 0.
              On exit, DIFR(I,1) = D(I) - DSIGMA(I+1), DIFR(K,1) is not
              defined and will not be referenced.
              If ICOMPQ = 1, DIFR(1:K,2) is an array containing the
              normalizing factors for the right singular vector matrix.
             See DLASD8 for details on DIFL and DIFR.

    Z

              Z is DOUBLE PRECISION array, dimension ( M )
             The first elements of this array contain the components
             of the deflation-adjusted updating row vector.

    K

              K is INTEGER
             Contains the dimension of the non-deflated matrix,
             This is the order of the related secular equation. 1 <= K <=N.

    C

              C is DOUBLE PRECISION
             C contains garbage if SQRE =0 and the C-value of a Givens
             rotation related to the right null space if SQRE = 1.

    S

              S is DOUBLE PRECISION
             S contains garbage if SQRE =0 and the S-value of a Givens
             rotation related to the right null space if SQRE = 1.

    WORK

              WORK is DOUBLE PRECISION array, dimension ( 4 * M )

    IWORK

              IWORK is INTEGER array, dimension ( 3 * N )

    INFO

              INFO is INTEGER
              = 0:  successful exit.
              < 0:  if INFO = -i, the i-th argument had an illegal value.
              > 0:  if INFO = 1, a singular value did not converge

Author:
    Univ. of Tennessee

    Univ. of California Berkeley

    Univ. of Colorado Denver

    NAG Ltd.

Date:
    June 2016

Contributors:
    Ming Gu and Huan Ren, Computer Science Division, University of California at Berkeley, USA

Definition at line 315 of file dlasd6.f.

  subroutine dlasd7 (integer ICOMPQ, integer NL, integer NR, integer SQRE, integer K, double precision, dimension( * ) D, double precision, dimension( * ) Z, double precision, dimension( * ) ZW, double precision, dimension( * ) VF, double precision, dimension( * ) VFW, double precision, dimension( * ) VL, double precision, dimension( * ) VLW, double precision ALPHA, double precision BETA, double precision, dimension( * ) DSIGMA, integer, dimension( * ) IDX, integer, dimension( * ) IDXP, integer, dimension( * ) IDXQ, integer, dimension( * ) PERM, integer GIVPTR, integer, dimension( ldgcol, * ) GIVCOL, integer LDGCOL, double precision, dimension( ldgnum, * ) GIVNUM, integer LDGNUM, double precision C, double precision S, integer INFO)

DLASD7 merges the two sets of singular values together into a single sorted set. Then it tries to deflate the size of the problem. Used by sbdsdc.

Purpose:

     DLASD7 merges the two sets of singular values together into a single
     sorted set. Then it tries to deflate the size of the problem. There
     are two ways in which deflation can occur:  when two or more singular
     values are close together or if there is a tiny entry in the Z
     vector. For each such occurrence the order of the related
     secular equation problem is reduced by one.
     DLASD7 is called from DLASD6.

Parameters:
    ICOMPQ

              ICOMPQ is INTEGER
              Specifies whether singular vectors are to be computed
              in compact form, as follows:
              = 0: Compute singular values only.
              = 1: Compute singular vectors of upper
                   bidiagonal matrix in compact form.

    NL

              NL is INTEGER
             The row dimension of the upper block. NL >= 1.

    NR

              NR is INTEGER
             The row dimension of the lower block. NR >= 1.

    SQRE

              SQRE is INTEGER
             = 0: the lower block is an NR-by-NR square matrix.
             = 1: the lower block is an NR-by-(NR+1) rectangular matrix.
             The bidiagonal matrix has
             N = NL + NR + 1 rows and
             M = N + SQRE >= N columns.

    K

              K is INTEGER
             Contains the dimension of the non-deflated matrix, this is
             the order of the related secular equation. 1 <= K <=N.

    D

              D is DOUBLE PRECISION array, dimension ( N )
             On entry D contains the singular values of the two submatrices
             to be combined. On exit D contains the trailing (N-K) updated
             singular values (those which were deflated) sorted into
             increasing order.

    Z

              Z is DOUBLE PRECISION array, dimension ( M )
             On exit Z contains the updating row vector in the secular
             equation.

    ZW

              ZW is DOUBLE PRECISION array, dimension ( M )
             Workspace for Z.

    VF

              VF is DOUBLE PRECISION array, dimension ( M )
             On entry, VF(1:NL+1) contains the first components of all
             right singular vectors of the upper block; and VF(NL+2:M)
             contains the first components of all right singular vectors
             of the lower block. On exit, VF contains the first components
             of all right singular vectors of the bidiagonal matrix.

    VFW

              VFW is DOUBLE PRECISION array, dimension ( M )
             Workspace for VF.

    VL

              VL is DOUBLE PRECISION array, dimension ( M )
             On entry, VL(1:NL+1) contains the  last components of all
             right singular vectors of the upper block; and VL(NL+2:M)
             contains the last components of all right singular vectors
             of the lower block. On exit, VL contains the last components
             of all right singular vectors of the bidiagonal matrix.

    VLW

              VLW is DOUBLE PRECISION array, dimension ( M )
             Workspace for VL.

    ALPHA

              ALPHA is DOUBLE PRECISION
             Contains the diagonal element associated with the added row.

    BETA

              BETA is DOUBLE PRECISION
             Contains the off-diagonal element associated with the added
             row.

    DSIGMA

              DSIGMA is DOUBLE PRECISION array, dimension ( N )
             Contains a copy of the diagonal elements (K-1 singular values
             and one zero) in the secular equation.

    IDX

              IDX is INTEGER array, dimension ( N )
             This will contain the permutation used to sort the contents of
             D into ascending order.

    IDXP

              IDXP is INTEGER array, dimension ( N )
             This will contain the permutation used to place deflated
             values of D at the end of the array. On output IDXP(2:K)
             points to the nondeflated D-values and IDXP(K+1:N)
             points to the deflated singular values.

    IDXQ

              IDXQ is INTEGER array, dimension ( N )
             This contains the permutation which separately sorts the two
             sub-problems in D into ascending order.  Note that entries in
             the first half of this permutation must first be moved one
             position backward; and entries in the second half
             must first have NL+1 added to their values.

    PERM

              PERM is INTEGER array, dimension ( N )
             The permutations (from deflation and sorting) to be applied
             to each singular block. Not referenced if ICOMPQ = 0.

    GIVPTR

              GIVPTR is INTEGER
             The number of Givens rotations which took place in this
             subproblem. Not referenced if ICOMPQ = 0.

    GIVCOL

              GIVCOL is INTEGER array, dimension ( LDGCOL, 2 )
             Each pair of numbers indicates a pair of columns to take place
             in a Givens rotation. Not referenced if ICOMPQ = 0.

    LDGCOL

              LDGCOL is INTEGER
             The leading dimension of GIVCOL, must be at least N.

    GIVNUM

              GIVNUM is DOUBLE PRECISION array, dimension ( LDGNUM, 2 )
             Each number indicates the C or S value to be used in the
             corresponding Givens rotation. Not referenced if ICOMPQ = 0.

    LDGNUM

              LDGNUM is INTEGER
             The leading dimension of GIVNUM, must be at least N.

    C

              C is DOUBLE PRECISION
             C contains garbage if SQRE =0 and the C-value of a Givens
             rotation related to the right null space if SQRE = 1.

    S

              S is DOUBLE PRECISION
             S contains garbage if SQRE =0 and the S-value of a Givens
             rotation related to the right null space if SQRE = 1.

    INFO

              INFO is INTEGER
             = 0:  successful exit.
             < 0:  if INFO = -i, the i-th argument had an illegal value.

Author:
    Univ. of Tennessee

    Univ. of California Berkeley

    Univ. of Colorado Denver

    NAG Ltd.

Date:
    December 2016

Contributors:
    Ming Gu and Huan Ren, Computer Science Division, University of California at Berkeley, USA

Definition at line 282 of file dlasd7.f.

  subroutine dlasd8 (integer ICOMPQ, integer K, double precision, dimension( * ) D, double precision, dimension( * ) Z, double precision, dimension( * ) VF, double precision, dimension( * ) VL, double precision, dimension( * ) DIFL, double precision, dimension( lddifr, * ) DIFR, integer LDDIFR, double precision, dimension( * ) DSIGMA, double precision, dimension( * ) WORK, integer INFO)

DLASD8 finds the square roots of the roots of the secular equation, and stores, for each element in D, the distance to its two nearest poles. Used by sbdsdc.

Purpose:

     DLASD8 finds the square roots of the roots of the secular equation,
     as defined by the values in DSIGMA and Z. It makes the appropriate
     calls to DLASD4, and stores, for each  element in D, the distance
     to its two nearest poles (elements in DSIGMA). It also updates
     the arrays VF and VL, the first and last components of all the
     right singular vectors of the original bidiagonal matrix.
     DLASD8 is called from DLASD6.

Parameters:
    ICOMPQ

              ICOMPQ is INTEGER
              Specifies whether singular vectors are to be computed in
              factored form in the calling routine:
              = 0: Compute singular values only.
              = 1: Compute singular vectors in factored form as well.

    K

              K is INTEGER
              The number of terms in the rational function to be solved
              by DLASD4.  K >= 1.

    D

              D is DOUBLE PRECISION array, dimension ( K )
              On output, D contains the updated singular values.

    Z

              Z is DOUBLE PRECISION array, dimension ( K )
              On entry, the first K elements of this array contain the
              components of the deflation-adjusted updating row vector.
              On exit, Z is updated.

    VF

              VF is DOUBLE PRECISION array, dimension ( K )
              On entry, VF contains  information passed through DBEDE8.
              On exit, VF contains the first K components of the first
              components of all right singular vectors of the bidiagonal
              matrix.

    VL

              VL is DOUBLE PRECISION array, dimension ( K )
              On entry, VL contains  information passed through DBEDE8.
              On exit, VL contains the first K components of the last
              components of all right singular vectors of the bidiagonal
              matrix.

    DIFL

              DIFL is DOUBLE PRECISION array, dimension ( K )
              On exit, DIFL(I) = D(I) - DSIGMA(I).

    DIFR

              DIFR is DOUBLE PRECISION array,
                       dimension ( LDDIFR, 2 ) if ICOMPQ = 1 and
                       dimension ( K ) if ICOMPQ = 0.
              On exit, DIFR(I,1) = D(I) - DSIGMA(I+1), DIFR(K,1) is not
              defined and will not be referenced.
              If ICOMPQ = 1, DIFR(1:K,2) is an array containing the
              normalizing factors for the right singular vector matrix.

    LDDIFR

              LDDIFR is INTEGER
              The leading dimension of DIFR, must be at least K.

    DSIGMA

              DSIGMA is DOUBLE PRECISION array, dimension ( K )
              On entry, the first K elements of this array contain the old
              roots of the deflated updating problem.  These are the poles
              of the secular equation.
              On exit, the elements of DSIGMA may be very slightly altered
              in value.

    WORK

              WORK is DOUBLE PRECISION array, dimension (3*K)

    INFO

              INFO is INTEGER
              = 0:  successful exit.
              < 0:  if INFO = -i, the i-th argument had an illegal value.
              > 0:  if INFO = 1, a singular value did not converge

Author:
    Univ. of Tennessee

    Univ. of California Berkeley

    Univ. of Colorado Denver

    NAG Ltd.

Date:
    June 2017

Contributors:
    Ming Gu and Huan Ren, Computer Science Division, University of California at Berkeley, USA

Definition at line 168 of file dlasd8.f.

  subroutine dlasda (integer ICOMPQ, integer SMLSIZ, integer N, integer SQRE, double precision, dimension( * ) D, double precision, dimension( * ) E, double precision, dimension( ldu, * ) U, integer LDU, double precision, dimension( ldu, * ) VT, integer, dimension( * ) K, double precision, dimension( ldu, * ) DIFL, double precision, dimension( ldu, * ) DIFR, double precision, dimension( ldu, * ) Z, double precision, dimension( ldu, * ) POLES, integer, dimension( * ) GIVPTR, integer, dimension( ldgcol, * ) GIVCOL, integer LDGCOL, integer, dimension( ldgcol, * ) PERM, double precision, dimension( ldu, * ) GIVNUM, double precision, dimension( * ) C, double precision, dimension( * ) S, double precision, dimension( * ) WORK, integer, dimension( * ) IWORK, integer INFO)

DLASDA computes the singular value decomposition (SVD) of a real upper bidiagonal matrix with diagonal d and off-diagonal e. Used by sbdsdc.

Purpose:

     Using a divide and conquer approach, DLASDA computes the singular
     value decomposition (SVD) of a real upper bidiagonal N-by-M matrix
     B with diagonal D and offdiagonal E, where M = N + SQRE. The
     algorithm computes the singular values in the SVD B = U * S * VT.
     The orthogonal matrices U and VT are optionally computed in
     compact form.
     A related subroutine, DLASD0, computes the singular values and
     the singular vectors in explicit form.

Parameters:
    ICOMPQ

              ICOMPQ is INTEGER
             Specifies whether singular vectors are to be computed
             in compact form, as follows
             = 0: Compute singular values only.
             = 1: Compute singular vectors of upper bidiagonal
                  matrix in compact form.

    SMLSIZ

              SMLSIZ is INTEGER
             The maximum size of the subproblems at the bottom of the
             computation tree.

    N

              N is INTEGER
             The row dimension of the upper bidiagonal matrix. This is
             also the dimension of the main diagonal array D.

    SQRE

              SQRE is INTEGER
             Specifies the column dimension of the bidiagonal matrix.
             = 0: The bidiagonal matrix has column dimension M = N;
             = 1: The bidiagonal matrix has column dimension M = N + 1.

    D

              D is DOUBLE PRECISION array, dimension ( N )
             On entry D contains the main diagonal of the bidiagonal
             matrix. On exit D, if INFO = 0, contains its singular values.

    E

              E is DOUBLE PRECISION array, dimension ( M-1 )
             Contains the subdiagonal entries of the bidiagonal matrix.
             On exit, E has been destroyed.

    U

              U is DOUBLE PRECISION array,
             dimension ( LDU, SMLSIZ ) if ICOMPQ = 1, and not referenced
             if ICOMPQ = 0. If ICOMPQ = 1, on exit, U contains the left
             singular vector matrices of all subproblems at the bottom
             level.

    LDU

              LDU is INTEGER, LDU = > N.
             The leading dimension of arrays U, VT, DIFL, DIFR, POLES,
             GIVNUM, and Z.

    VT

              VT is DOUBLE PRECISION array,
             dimension ( LDU, SMLSIZ+1 ) if ICOMPQ = 1, and not referenced
             if ICOMPQ = 0. If ICOMPQ = 1, on exit, VT**T contains the right
             singular vector matrices of all subproblems at the bottom
             level.

    K

              K is INTEGER array,
             dimension ( N ) if ICOMPQ = 1 and dimension 1 if ICOMPQ = 0.
             If ICOMPQ = 1, on exit, K(I) is the dimension of the I-th
             secular equation on the computation tree.

    DIFL

              DIFL is DOUBLE PRECISION array, dimension ( LDU, NLVL ),
             where NLVL = floor(log_2 (N/SMLSIZ))).

    DIFR

              DIFR is DOUBLE PRECISION array,
                      dimension ( LDU, 2 * NLVL ) if ICOMPQ = 1 and
                      dimension ( N ) if ICOMPQ = 0.
             If ICOMPQ = 1, on exit, DIFL(1:N, I) and DIFR(1:N, 2 * I - 1)
             record distances between singular values on the I-th
             level and singular values on the (I -1)-th level, and
             DIFR(1:N, 2 * I ) contains the normalizing factors for
             the right singular vector matrix. See DLASD8 for details.

    Z

              Z is DOUBLE PRECISION array,
                      dimension ( LDU, NLVL ) if ICOMPQ = 1 and
                      dimension ( N ) if ICOMPQ = 0.
             The first K elements of Z(1, I) contain the components of
             the deflation-adjusted updating row vector for subproblems
             on the I-th level.

    POLES

              POLES is DOUBLE PRECISION array,
             dimension ( LDU, 2 * NLVL ) if ICOMPQ = 1, and not referenced
             if ICOMPQ = 0. If ICOMPQ = 1, on exit, POLES(1, 2*I - 1) and
             POLES(1, 2*I) contain  the new and old singular values
             involved in the secular equations on the I-th level.

    GIVPTR

              GIVPTR is INTEGER array,
             dimension ( N ) if ICOMPQ = 1, and not referenced if
             ICOMPQ = 0. If ICOMPQ = 1, on exit, GIVPTR( I ) records
             the number of Givens rotations performed on the I-th
             problem on the computation tree.

    GIVCOL

              GIVCOL is INTEGER array,
             dimension ( LDGCOL, 2 * NLVL ) if ICOMPQ = 1, and not
             referenced if ICOMPQ = 0. If ICOMPQ = 1, on exit, for each I,
             GIVCOL(1, 2 *I - 1) and GIVCOL(1, 2 *I) record the locations
             of Givens rotations performed on the I-th level on the
             computation tree.

    LDGCOL

              LDGCOL is INTEGER, LDGCOL = > N.
             The leading dimension of arrays GIVCOL and PERM.

    PERM

              PERM is INTEGER array,
             dimension ( LDGCOL, NLVL ) if ICOMPQ = 1, and not referenced
             if ICOMPQ = 0. If ICOMPQ = 1, on exit, PERM(1, I) records
             permutations done on the I-th level of the computation tree.

    GIVNUM

              GIVNUM is DOUBLE PRECISION array,
             dimension ( LDU,  2 * NLVL ) if ICOMPQ = 1, and not
             referenced if ICOMPQ = 0. If ICOMPQ = 1, on exit, for each I,
             GIVNUM(1, 2 *I - 1) and GIVNUM(1, 2 *I) record the C- and S-
             values of Givens rotations performed on the I-th level on
             the computation tree.

    C

              C is DOUBLE PRECISION array,
             dimension ( N ) if ICOMPQ = 1, and dimension 1 if ICOMPQ = 0.
             If ICOMPQ = 1 and the I-th subproblem is not square, on exit,
             C( I ) contains the C-value of a Givens rotation related to
             the right null space of the I-th subproblem.

    S

              S is DOUBLE PRECISION array, dimension ( N ) if
             ICOMPQ = 1, and dimension 1 if ICOMPQ = 0. If ICOMPQ = 1
             and the I-th subproblem is not square, on exit, S( I )
             contains the S-value of a Givens rotation related to
             the right null space of the I-th subproblem.

    WORK

              WORK is DOUBLE PRECISION array, dimension
             (6 * N + (SMLSIZ + 1)*(SMLSIZ + 1)).

    IWORK

              IWORK is INTEGER array, dimension (7*N)

    INFO

              INFO is INTEGER
              = 0:  successful exit.
              < 0:  if INFO = -i, the i-th argument had an illegal value.
              > 0:  if INFO = 1, a singular value did not converge

Author:
    Univ. of Tennessee

    Univ. of California Berkeley

    Univ. of Colorado Denver

    NAG Ltd.

Date:
    June 2017

Contributors:
    Ming Gu and Huan Ren, Computer Science Division, University of California at Berkeley, USA

Definition at line 275 of file dlasda.f.

  subroutine dlasdq (character UPLO, integer SQRE, integer N, integer NCVT, integer NRU, integer NCC, double precision, dimension( * ) D, double precision, dimension( * ) E, double precision, dimension( ldvt, * ) VT, integer LDVT, double precision, dimension( ldu, * ) U, integer LDU, double precision, dimension( ldc, * ) C, integer LDC, double precision, dimension( * ) WORK, integer INFO)

DLASDQ computes the SVD of a real bidiagonal matrix with diagonal d and off-diagonal e. Used by sbdsdc.

Purpose:

     DLASDQ computes the singular value decomposition (SVD) of a real
     (upper or lower) bidiagonal matrix with diagonal D and offdiagonal
     E, accumulating the transformations if desired. Letting B denote
     the input bidiagonal matrix, the algorithm computes orthogonal
     matrices Q and P such that B = Q * S * P**T (P**T denotes the transpose
     of P). The singular values S are overwritten on D.
     The input matrix U  is changed to U  * Q  if desired.
     The input matrix VT is changed to P**T * VT if desired.
     The input matrix C  is changed to Q**T * C  if desired.
     See "Computing  Small Singular Values of Bidiagonal Matrices With
     Guaranteed High Relative Accuracy," by J. Demmel and W. Kahan,
     LAPACK Working Note #3, for a detailed description of the algorithm.

Parameters:
    UPLO

              UPLO is CHARACTER*1
            On entry, UPLO specifies whether the input bidiagonal matrix
            is upper or lower bidiagonal, and whether it is square are
            not.
               UPLO = 'U' or 'u'   B is upper bidiagonal.
               UPLO = 'L' or 'l'   B is lower bidiagonal.

    SQRE

              SQRE is INTEGER
            = 0: then the input matrix is N-by-N.
            = 1: then the input matrix is N-by-(N+1) if UPLU = 'U' and
                 (N+1)-by-N if UPLU = 'L'.
            The bidiagonal matrix has
            N = NL + NR + 1 rows and
            M = N + SQRE >= N columns.

    N

              N is INTEGER
            On entry, N specifies the number of rows and columns
            in the matrix. N must be at least 0.

    NCVT

              NCVT is INTEGER
            On entry, NCVT specifies the number of columns of
            the matrix VT. NCVT must be at least 0.

    NRU

              NRU is INTEGER
            On entry, NRU specifies the number of rows of
            the matrix U. NRU must be at least 0.

    NCC

              NCC is INTEGER
            On entry, NCC specifies the number of columns of
            the matrix C. NCC must be at least 0.

    D

              D is DOUBLE PRECISION array, dimension (N)
            On entry, D contains the diagonal entries of the
            bidiagonal matrix whose SVD is desired. On normal exit,
            D contains the singular values in ascending order.

    E

              E is DOUBLE PRECISION array.
            dimension is (N-1) if SQRE = 0 and N if SQRE = 1.
            On entry, the entries of E contain the offdiagonal entries
            of the bidiagonal matrix whose SVD is desired. On normal
            exit, E will contain 0. If the algorithm does not converge,
            D and E will contain the diagonal and superdiagonal entries
            of a bidiagonal matrix orthogonally equivalent to the one
            given as input.

    VT

              VT is DOUBLE PRECISION array, dimension (LDVT, NCVT)
            On entry, contains a matrix which on exit has been
            premultiplied by P**T, dimension N-by-NCVT if SQRE = 0
            and (N+1)-by-NCVT if SQRE = 1 (not referenced if NCVT=0).

    LDVT

              LDVT is INTEGER
            On entry, LDVT specifies the leading dimension of VT as
            declared in the calling (sub) program. LDVT must be at
            least 1. If NCVT is nonzero LDVT must also be at least N.

    U

              U is DOUBLE PRECISION array, dimension (LDU, N)
            On entry, contains a  matrix which on exit has been
            postmultiplied by Q, dimension NRU-by-N if SQRE = 0
            and NRU-by-(N+1) if SQRE = 1 (not referenced if NRU=0).

    LDU

              LDU is INTEGER
            On entry, LDU  specifies the leading dimension of U as
            declared in the calling (sub) program. LDU must be at
            least max( 1, NRU ) .

    C

              C is DOUBLE PRECISION array, dimension (LDC, NCC)
            On entry, contains an N-by-NCC matrix which on exit
            has been premultiplied by Q**T  dimension N-by-NCC if SQRE = 0
            and (N+1)-by-NCC if SQRE = 1 (not referenced if NCC=0).

    LDC

              LDC is INTEGER
            On entry, LDC  specifies the leading dimension of C as
            declared in the calling (sub) program. LDC must be at
            least 1. If NCC is nonzero, LDC must also be at least N.

    WORK

              WORK is DOUBLE PRECISION array, dimension (4*N)
            Workspace. Only referenced if one of NCVT, NRU, or NCC is
            nonzero, and if N is at least 2.

    INFO

              INFO is INTEGER
            On exit, a value of 0 indicates a successful exit.
            If INFO < 0, argument number -INFO is illegal.
            If INFO > 0, the algorithm did not converge, and INFO
            specifies how many superdiagonals did not converge.

Author:
    Univ. of Tennessee

    Univ. of California Berkeley

    Univ. of Colorado Denver

    NAG Ltd.

Date:
    June 2016

Contributors:
    Ming Gu and Huan Ren, Computer Science Division, University of California at Berkeley, USA

Definition at line 213 of file dlasdq.f.

  subroutine dlasdt (integer N, integer LVL, integer ND, integer, dimension( * ) INODE, integer, dimension( * ) NDIML, integer, dimension( * ) NDIMR, integer MSUB)

DLASDT creates a tree of subproblems for bidiagonal divide and conquer. Used by sbdsdc.

Purpose:

     DLASDT creates a tree of subproblems for bidiagonal divide and
     conquer.

Parameters:
    N

              N is INTEGER
              On entry, the number of diagonal elements of the
              bidiagonal matrix.

    LVL

              LVL is INTEGER
              On exit, the number of levels on the computation tree.

    ND

              ND is INTEGER
              On exit, the number of nodes on the tree.

    INODE

              INODE is INTEGER array, dimension ( N )
              On exit, centers of subproblems.

    NDIML

              NDIML is INTEGER array, dimension ( N )
              On exit, row dimensions of left children.

    NDIMR

              NDIMR is INTEGER array, dimension ( N )
              On exit, row dimensions of right children.

    MSUB

              MSUB is INTEGER
              On entry, the maximum row dimension each subproblem at the
              bottom of the tree can be of.

Author:
    Univ. of Tennessee

    Univ. of California Berkeley

    Univ. of Colorado Denver

    NAG Ltd.

Date:
    December 2016

Contributors:
    Ming Gu and Huan Ren, Computer Science Division, University of California at Berkeley, USA

Definition at line 107 of file dlasdt.f.

  subroutine dlaset (character UPLO, integer M, integer N, double precision ALPHA, double precision BETA, double precision, dimension( lda, * ) A, integer LDA)

DLASET initializes the off-diagonal elements and the diagonal elements of a matrix to given values.

Purpose:

     DLASET initializes an m-by-n matrix A to BETA on the diagonal and
     ALPHA on the offdiagonals.

Parameters:
    UPLO

              UPLO is CHARACTER*1
              Specifies the part of the matrix A to be set.
              = 'U':      Upper triangular part is set; the strictly lower
                          triangular part of A is not changed.
              = 'L':      Lower triangular part is set; the strictly upper
                          triangular part of A is not changed.
              Otherwise:  All of the matrix A is set.

    M

              M is INTEGER
              The number of rows of the matrix A.  M >= 0.

    N

              N is INTEGER
              The number of columns of the matrix A.  N >= 0.

    ALPHA

              ALPHA is DOUBLE PRECISION
              The constant to which the offdiagonal elements are to be set.

    BETA

              BETA is DOUBLE PRECISION
              The constant to which the diagonal elements are to be set.

    A

              A is DOUBLE PRECISION array, dimension (LDA,N)
              On exit, the leading m-by-n submatrix of A is set as follows:
              if UPLO = 'U', A(i,j) = ALPHA, 1<=i<=j-1, 1<=j<=n,
              if UPLO = 'L', A(i,j) = ALPHA, j+1<=i<=m, 1<=j<=n,
              otherwise,     A(i,j) = ALPHA, 1<=i<=m, 1<=j<=n, i.ne.j,
              and, for all UPLO, A(i,i) = BETA, 1<=i<=min(m,n).

    LDA

              LDA is INTEGER
              The leading dimension of the array A.  LDA >= max(1,M).

Author:
    Univ. of Tennessee

    Univ. of California Berkeley

    Univ. of Colorado Denver

    NAG Ltd.

Date:
    December 2016

Definition at line 112 of file dlaset.f.

  subroutine dlasr (character SIDE, character PIVOT, character DIRECT, integer M, integer N, double precision, dimension( * ) C, double precision, dimension( * ) S, double precision, dimension( lda, * ) A, integer LDA)

DLASR applies a sequence of plane rotations to a general rectangular matrix.

Purpose:

     DLASR applies a sequence of plane rotations to a real matrix A,
     from either the left or the right.
     When SIDE = 'L', the transformation takes the form
        A := P*A
     and when SIDE = 'R', the transformation takes the form
        A := A*P**T
     where P is an orthogonal matrix consisting of a sequence of z plane
     rotations, with z = M when SIDE = 'L' and z = N when SIDE = 'R',
     and P**T is the transpose of P.
     When DIRECT = 'F' (Forward sequence), then
        P = P(z-1) * ... * P(2) * P(1)
     and when DIRECT = 'B' (Backward sequence), then
        P = P(1) * P(2) * ... * P(z-1)
     where P(k) is a plane rotation matrix defined by the 2-by-2 rotation
        R(k) = (  c(k)  s(k) )
             = ( -s(k)  c(k) ).
     When PIVOT = 'V' (Variable pivot), the rotation is performed
     for the plane (k,k+1), i.e., P(k) has the form
        P(k) = (  1                                            )
               (       ...                                     )
               (              1                                )
               (                   c(k)  s(k)                  )
               (                  -s(k)  c(k)                  )
               (                                1              )
               (                                     ...       )
               (                                            1  )
     where R(k) appears as a rank-2 modification to the identity matrix in
     rows and columns k and k+1.
     When PIVOT = 'T' (Top pivot), the rotation is performed for the
     plane (1,k+1), so P(k) has the form
        P(k) = (  c(k)                    s(k)                 )
               (         1                                     )
               (              ...                              )
               (                     1                         )
               ( -s(k)                    c(k)                 )
               (                                 1             )
               (                                      ...      )
               (                                             1 )
     where R(k) appears in rows and columns 1 and k+1.
     Similarly, when PIVOT = 'B' (Bottom pivot), the rotation is
     performed for the plane (k,z), giving P(k) the form
        P(k) = ( 1                                             )
               (      ...                                      )
               (             1                                 )
               (                  c(k)                    s(k) )
               (                         1                     )
               (                              ...              )
               (                                     1         )
               (                 -s(k)                    c(k) )
     where R(k) appears in rows and columns k and z.  The rotations are
     performed without ever forming P(k) explicitly.

Parameters:
    SIDE

              SIDE is CHARACTER*1
              Specifies whether the plane rotation matrix P is applied to
              A on the left or the right.
              = 'L':  Left, compute A := P*A
              = 'R':  Right, compute A:= A*P**T

    PIVOT

              PIVOT is CHARACTER*1
              Specifies the plane for which P(k) is a plane rotation
              matrix.
              = 'V':  Variable pivot, the plane (k,k+1)
              = 'T':  Top pivot, the plane (1,k+1)
              = 'B':  Bottom pivot, the plane (k,z)

    DIRECT

              DIRECT is CHARACTER*1
              Specifies whether P is a forward or backward sequence of
              plane rotations.
              = 'F':  Forward, P = P(z-1)*...*P(2)*P(1)
              = 'B':  Backward, P = P(1)*P(2)*...*P(z-1)

    M

              M is INTEGER
              The number of rows of the matrix A.  If m <= 1, an immediate
              return is effected.

    N

              N is INTEGER
              The number of columns of the matrix A.  If n <= 1, an
              immediate return is effected.

    C

              C is DOUBLE PRECISION array, dimension
                      (M-1) if SIDE = 'L'
                      (N-1) if SIDE = 'R'
              The cosines c(k) of the plane rotations.

    S

              S is DOUBLE PRECISION array, dimension
                      (M-1) if SIDE = 'L'
                      (N-1) if SIDE = 'R'
              The sines s(k) of the plane rotations.  The 2-by-2 plane
              rotation part of the matrix P(k), R(k), has the form
              R(k) = (  c(k)  s(k) )
                     ( -s(k)  c(k) ).

    A

              A is DOUBLE PRECISION array, dimension (LDA,N)
              The M-by-N matrix A.  On exit, A is overwritten by P*A if
              SIDE = 'R' or by A*P**T if SIDE = 'L'.

    LDA

              LDA is INTEGER
              The leading dimension of the array A.  LDA >= max(1,M).

Author:
    Univ. of Tennessee

    Univ. of California Berkeley

    Univ. of Colorado Denver

    NAG Ltd.

Date:
    December 2016

Definition at line 201 of file dlasr.f.

  subroutine dlassq (integer N, double precision, dimension( * ) X, integer INCX, double precision SCALE, double precision SUMSQ)

DLASSQ updates a sum of squares represented in scaled form.

Purpose:

     DLASSQ  returns the values  scl  and  smsq  such that
        ( scl**2 )*smsq = x( 1 )**2 +...+ x( n )**2 + ( scale**2 )*sumsq,
     where  x( i ) = X( 1 + ( i - 1 )*INCX ). The value of  sumsq  is
     assumed to be non-negative and  scl  returns the value
        scl = max( scale, abs( x( i ) ) ).
     scale and sumsq must be supplied in SCALE and SUMSQ and
     scl and smsq are overwritten on SCALE and SUMSQ respectively.
     The routine makes only one pass through the vector x.

Parameters:
    N

              N is INTEGER
              The number of elements to be used from the vector X.

    X

              X is DOUBLE PRECISION array, dimension (N)
              The vector for which a scaled sum of squares is computed.
                 x( i )  = X( 1 + ( i - 1 )*INCX ), 1 <= i <= n.

    INCX

              INCX is INTEGER
              The increment between successive values of the vector X.
              INCX > 0.

    SCALE

              SCALE is DOUBLE PRECISION
              On entry, the value  scale  in the equation above.
              On exit, SCALE is overwritten with  scl , the scaling factor
              for the sum of squares.

    SUMSQ

              SUMSQ is DOUBLE PRECISION
              On entry, the value  sumsq  in the equation above.
              On exit, SUMSQ is overwritten with  smsq , the basic sum of
              squares from which  scl  has been factored out.

Author:
    Univ. of Tennessee

    Univ. of California Berkeley

    Univ. of Colorado Denver

    NAG Ltd.

Date:
    December 2016

Definition at line 105 of file dlassq.f.

  subroutine dlasv2 (double precision F, double precision G, double precision H, double precision SSMIN, double precision SSMAX, double precision SNR, double precision CSR, double precision SNL, double precision CSL)

DLASV2 computes the singular value decomposition of a 2-by-2 triangular matrix.

Purpose:

     DLASV2 computes the singular value decomposition of a 2-by-2
     triangular matrix
        [  F   G  ]
        [  0   H  ].
     On return, abs(SSMAX) is the larger singular value, abs(SSMIN) is the
     smaller singular value, and (CSL,SNL) and (CSR,SNR) are the left and
     right singular vectors for abs(SSMAX), giving the decomposition
        [ CSL  SNL ] [  F   G  ] [ CSR -SNR ]  =  [ SSMAX   0   ]
        [-SNL  CSL ] [  0   H  ] [ SNR  CSR ]     [  0    SSMIN ].

Parameters:
    F

              F is DOUBLE PRECISION
              The (1,1) element of the 2-by-2 matrix.

    G

              G is DOUBLE PRECISION
              The (1,2) element of the 2-by-2 matrix.

    H

              H is DOUBLE PRECISION
              The (2,2) element of the 2-by-2 matrix.

    SSMIN

              SSMIN is DOUBLE PRECISION
              abs(SSMIN) is the smaller singular value.

    SSMAX

              SSMAX is DOUBLE PRECISION
              abs(SSMAX) is the larger singular value.

    SNL

              SNL is DOUBLE PRECISION

    CSL

              CSL is DOUBLE PRECISION
              The vector (CSL, SNL) is a unit left singular vector for the
              singular value abs(SSMAX).

    SNR

              SNR is DOUBLE PRECISION

    CSR

              CSR is DOUBLE PRECISION
              The vector (CSR, SNR) is a unit right singular vector for the
              singular value abs(SSMAX).

Author:
    Univ. of Tennessee

    Univ. of California Berkeley

    Univ. of Colorado Denver

    NAG Ltd.

Date:
    December 2016

Further Details:

      Any input parameter may be aliased with any output parameter.
      Barring over/underflow and assuming a guard digit in subtraction, all
      output quantities are correct to within a few units in the last
      place (ulps).
      In IEEE arithmetic, the code works correctly if one matrix element is
      infinite.
      Overflow will not occur unless the largest singular value itself
      overflows or is within a few ulps of overflow. (On machines with
      partial overflow, like the Cray, overflow may occur if the largest
      singular value is within a factor of 2 of overflow.)
      Underflow is harmless if underflow is gradual. Otherwise, results
      may correspond to a matrix modified by perturbations of size near
      the underflow threshold.

Definition at line 140 of file dlasv2.f.

  integer function ieeeck (integer ISPEC, real ZERO, real ONE)

IEEECK

Purpose:

     IEEECK is called from the ILAENV to verify that Infinity and
     possibly NaN arithmetic is safe (i.e. will not trap).

Parameters:
    ISPEC

              ISPEC is INTEGER
              Specifies whether to test just for inifinity arithmetic
              or whether to test for infinity and NaN arithmetic.
              = 0: Verify infinity arithmetic only.
              = 1: Verify infinity and NaN arithmetic.

    ZERO

              ZERO is REAL
              Must contain the value 0.0
              This is passed to prevent the compiler from optimizing
              away this code.

    ONE

              ONE is REAL
              Must contain the value 1.0
              This is passed to prevent the compiler from optimizing
              away this code.
      RETURN VALUE:  INTEGER
              = 0:  Arithmetic failed to produce the correct answers
              = 1:  Arithmetic produced the correct answers

Author:
    Univ. of Tennessee

    Univ. of California Berkeley

    Univ. of Colorado Denver

    NAG Ltd.

Date:
    December 2016

Definition at line 84 of file ieeeck.f.

  integer function iladlc (integer M, integer N, double precision, dimension( lda, * ) A, integer LDA)

ILADLC scans a matrix for its last non-zero column.

Purpose:

     ILADLC scans A for its last non-zero column.

Parameters:
    M

              M is INTEGER
              The number of rows of the matrix A.

    N

              N is INTEGER
              The number of columns of the matrix A.

    A

              A is DOUBLE PRECISION array, dimension (LDA,N)
              The m by n matrix A.

    LDA

              LDA is INTEGER
              The leading dimension of the array A. LDA >= max(1,M).

Author:
    Univ. of Tennessee

    Univ. of California Berkeley

    Univ. of Colorado Denver

    NAG Ltd.

Date:
    December 2016

Definition at line 80 of file iladlc.f.

  integer function iladlr (integer M, integer N, double precision, dimension( lda, * ) A, integer LDA)

ILADLR scans a matrix for its last non-zero row.

Purpose:

     ILADLR scans A for its last non-zero row.

Parameters:
    M

              M is INTEGER
              The number of rows of the matrix A.

    N

              N is INTEGER
              The number of columns of the matrix A.

    A

              A is DOUBLE PRECISION array, dimension (LDA,N)
              The m by n matrix A.

    LDA

              LDA is INTEGER
              The leading dimension of the array A. LDA >= max(1,M).

Author:
    Univ. of Tennessee

    Univ. of California Berkeley

    Univ. of Colorado Denver

    NAG Ltd.

Date:
    December 2016

Definition at line 80 of file iladlr.f.

  integer function ilaenv (integer ISPEC, character*( * ) NAME, character*( * ) OPTS, integer N1, integer N2, integer N3, integer N4)

ILAENV

Purpose:

     ILAENV is called from the LAPACK routines to choose problem-dependent
     parameters for the local environment.  See ISPEC for a description of
     the parameters.
     ILAENV returns an INTEGER
     if ILAENV >= 0: ILAENV returns the value of the parameter specified by ISPEC
     if ILAENV < 0:  if ILAENV = -k, the k-th argument had an illegal value.
     This version provides a set of parameters which should give good,
     but not optimal, performance on many of the currently available
     computers.  Users are encouraged to modify this subroutine to set
     the tuning parameters for their particular machine using the option
     and problem size information in the arguments.
     This routine will not function correctly if it is converted to all
     lower case.  Converting it to all upper case is allowed.

Parameters:
    ISPEC

              ISPEC is INTEGER
              Specifies the parameter to be returned as the value of
              ILAENV.
              = 1: the optimal blocksize; if this value is 1, an unblocked
                   algorithm will give the best performance.
              = 2: the minimum block size for which the block routine
                   should be used; if the usable block size is less than
                   this value, an unblocked routine should be used.
              = 3: the crossover point (in a block routine, for N less
                   than this value, an unblocked routine should be used)
              = 4: the number of shifts, used in the nonsymmetric
                   eigenvalue routines (DEPRECATED)
              = 5: the minimum column dimension for blocking to be used;
                   rectangular blocks must have dimension at least k by m,
                   where k is given by ILAENV(2,...) and m by ILAENV(5,...)
              = 6: the crossover point for the SVD (when reducing an m by n
                   matrix to bidiagonal form, if max(m,n)/min(m,n) exceeds
                   this value, a QR factorization is used first to reduce
                   the matrix to a triangular form.)
              = 7: the number of processors
              = 8: the crossover point for the multishift QR method
                   for nonsymmetric eigenvalue problems (DEPRECATED)
              = 9: maximum size of the subproblems at the bottom of the
                   computation tree in the divide-and-conquer algorithm
                   (used by xGELSD and xGESDD)
              =10: ieee NaN arithmetic can be trusted not to trap
              =11: infinity arithmetic can be trusted not to trap
              12 <= ISPEC <= 16:
                   xHSEQR or related subroutines,
                   see IPARMQ for detailed explanation

    NAME

              NAME is CHARACTER*(*)
              The name of the calling subroutine, in either upper case or
              lower case.

    OPTS

              OPTS is CHARACTER*(*)
              The character options to the subroutine NAME, concatenated
              into a single character string.  For example, UPLO = 'U',
              TRANS = 'T', and DIAG = 'N' for a triangular routine would
              be specified as OPTS = 'UTN'.

    N1

              N1 is INTEGER

    N2

              N2 is INTEGER

    N3

              N3 is INTEGER

    N4

              N4 is INTEGER
              Problem dimensions for the subroutine NAME; these may not all
              be required.

Author:
    Univ. of Tennessee

    Univ. of California Berkeley

    Univ. of Colorado Denver

    NAG Ltd.

Date:
    November 2017

Further Details:

      The following conventions have been used when calling ILAENV from the
      LAPACK routines:
      1)  OPTS is a concatenation of all of the character options to
          subroutine NAME, in the same order that they appear in the
          argument list for NAME, even if they are not used in determining
          the value of the parameter specified by ISPEC.
      2)  The problem dimensions N1, N2, N3, N4 are specified in the order
          that they appear in the argument list for NAME.  N1 is used
          first, N2 second, and so on, and unused problem dimensions are
          passed a value of -1.
      3)  The parameter value returned by ILAENV is checked for validity in
          the calling subroutine.  For example, ILAENV is used to retrieve
          the optimal blocksize for STRTRI as follows:
          NB = ILAENV( 1, 'STRTRI', UPLO // DIAG, N, -1, -1, -1 )
          IF( NB.LE.1 ) NB = MAX( 1, N )

Definition at line 164 of file ilaenv.f.

  integer function ilaenv2stage (integer ISPEC, character*( * ) NAME, character*( * ) OPTS, integer N1, integer N2, integer N3, integer N4)

ILAENV2STAGE

Purpose:

     ILAENV2STAGE is called from the LAPACK routines to choose problem-dependent
     parameters for the local environment.  See ISPEC for a description of
     the parameters.
     It sets problem and machine dependent parameters useful for *_2STAGE and
     related subroutines.
     ILAENV2STAGE returns an INTEGER
     if ILAENV2STAGE >= 0: ILAENV2STAGE returns the value of the parameter  if ILAENV2STAGE < 0:  if ILAENV2STAGE = -k, the k-th argument had an
     This version provides a set of parameters which should give good,
     but not optimal, performance on many of the currently available
     computers for the 2-stage solvers. Users are encouraged to modify this
     subroutine to set the tuning parameters for their particular machine using
     the option and problem size information in the arguments.
     This routine will not function correctly if it is converted to all
     lower case.  Converting it to all upper case is allowed.

Parameters:
    ISPEC

              ISPEC is INTEGER
              Specifies the parameter to be returned as the value of
              ILAENV2STAGE.
              = 1: the optimal blocksize nb for the reduction to BAND
              = 2: the optimal blocksize ib for the eigenvectors
                   singular vectors update routine
              = 3: The length of the array that store the Housholder
                   representation for the second stage
                   Band to Tridiagonal or Bidiagonal
              = 4: The workspace needed for the routine in input.
              = 5: For future release.

    NAME

              NAME is CHARACTER*(*)
              The name of the calling subroutine, in either upper case or
              lower case.

    OPTS

              OPTS is CHARACTER*(*)
              The character options to the subroutine NAME, concatenated
              into a single character string.  For example, UPLO = 'U',
              TRANS = 'T', and DIAG = 'N' for a triangular routine would
              be specified as OPTS = 'UTN'.

    N1

              N1 is INTEGER

    N2

              N2 is INTEGER

    N3

              N3 is INTEGER

    N4

              N4 is INTEGER
              Problem dimensions for the subroutine NAME; these may not all
              be required.

Author:
    Univ. of Tennessee

    Univ. of California Berkeley

    Univ. of Colorado Denver

    NAG Ltd.

    Nick R. Papior

Date:
    July 2017

Further Details:

      The following conventions have been used when calling ILAENV2STAGE
     from the LAPACK routines:
      1)  OPTS is a concatenation of all of the character options to
          subroutine NAME, in the same order that they appear in the
          argument list for NAME, even if they are not used in determining
          the value of the parameter specified by ISPEC.
      2)  The problem dimensions N1, N2, N3, N4 are specified in the order
          that they appear in the argument list for NAME.  N1 is used
          first, N2 second, and so on, and unused problem dimensions are
          passed a value of -1.
      3)  The parameter value returned by ILAENV2STAGE is checked for validity in
          the calling subroutine.

Definition at line 151 of file ilaenv2stage.f.

  integer function iparmq (integer ISPEC, character, dimension( * ) NAME, character, dimension( * ) OPTS, integer N, integer ILO, integer IHI, integer LWORK)

IPARMQ

Purpose:

          This program sets problem and machine dependent parameters
          useful for xHSEQR and related subroutines for eigenvalue
          problems. It is called whenever
          IPARMQ is called with 12 <= ISPEC <= 16

Parameters:
    ISPEC

              ISPEC is INTEGER
                  ISPEC specifies which tunable parameter IPARMQ should
                  return.
                  ISPEC=12: (INMIN)  Matrices of order nmin or less
                            are sent directly to xLAHQR, the implicit
                            double shift QR algorithm.  NMIN must be
                            at least 11.
                  ISPEC=13: (INWIN)  Size of the deflation window.
                            This is best set greater than or equal to
                            the number of simultaneous shifts NS.
                            Larger matrices benefit from larger deflation
                            windows.
                  ISPEC=14: (INIBL) Determines when to stop nibbling and
                            invest in an (expensive) multi-shift QR sweep.
                            If the aggressive early deflation subroutine
                            finds LD converged eigenvalues from an order
                            NW deflation window and LD.GT.(NW*NIBBLE)/100,
                            then the next QR sweep is skipped and early
                            deflation is applied immediately to the
                            remaining active diagonal block.  Setting
                            IPARMQ(ISPEC=14) = 0 causes TTQRE to skip a
                            multi-shift QR sweep whenever early deflation
                            finds a converged eigenvalue.  Setting
                            IPARMQ(ISPEC=14) greater than or equal to 100
                            prevents TTQRE from skipping a multi-shift
                            QR sweep.
                  ISPEC=15: (NSHFTS) The number of simultaneous shifts in
                            a multi-shift QR iteration.
                  ISPEC=16: (IACC22) IPARMQ is set to 0, 1 or 2 with the
                            following meanings.
                            0:  During the multi-shift QR/QZ sweep,
                                blocked eigenvalue reordering, blocked
                                Hessenberg-triangular reduction,
                                reflections and/or rotations are not
                                accumulated when updating the
                                far-from-diagonal matrix entries.
                            1:  During the multi-shift QR/QZ sweep,
                                blocked eigenvalue reordering, blocked
                                Hessenberg-triangular reduction,
                                reflections and/or rotations are
                                accumulated, and matrix-matrix
                                multiplication is used to update the
                                far-from-diagonal matrix entries.
                            2:  During the multi-shift QR/QZ sweep,
                                blocked eigenvalue reordering, blocked
                                Hessenberg-triangular reduction,
                                reflections and/or rotations are
                                accumulated, and 2-by-2 block structure
                                is exploited during matrix-matrix
                                multiplies.
                            (If xTRMM is slower than xGEMM, then
                            IPARMQ(ISPEC=16)=1 may be more efficient than
                            IPARMQ(ISPEC=16)=2 despite the greater level of
                            arithmetic work implied by the latter choice.)

    NAME

              NAME is character string
                   Name of the calling subroutine

    OPTS

              OPTS is character string
                   This is a concatenation of the string arguments to
                   TTQRE.

    N

              N is INTEGER
                   N is the order of the Hessenberg matrix H.

    ILO

              ILO is INTEGER

    IHI

              IHI is INTEGER
                   It is assumed that H is already upper triangular
                   in rows and columns 1:ILO-1 and IHI+1:N.

    LWORK

              LWORK is INTEGER
                   The amount of workspace available.

Author:
    Univ. of Tennessee

    Univ. of California Berkeley

    Univ. of Colorado Denver

    NAG Ltd.

Date:
    June 2017

Further Details:

           Little is known about how best to choose these parameters.
           It is possible to use different values of the parameters
           for each of CHSEQR, DHSEQR, SHSEQR and ZHSEQR.
           It is probably best to choose different parameters for
           different matrices and different parameters at different
           times during the iteration, but this has not been
           implemented --- yet.
           The best choices of most of the parameters depend
           in an ill-understood way on the relative execution
           rate of xLAQR3 and xLAQR5 and on the nature of each
           particular eigenvalue problem.  Experiment may be the
           only practical way to determine which choices are most
           effective.
           Following is a list of default values supplied by IPARMQ.
           These defaults may be adjusted in order to attain better
           performance in any particular computational environment.
           IPARMQ(ISPEC=12) The xLAHQR vs xLAQR0 crossover point.
                            Default: 75. (Must be at least 11.)
           IPARMQ(ISPEC=13) Recommended deflation window size.
                            This depends on ILO, IHI and NS, the
                            number of simultaneous shifts returned
                            by IPARMQ(ISPEC=15).  The default for
                            (IHI-ILO+1).LE.500 is NS.  The default
                            for (IHI-ILO+1).GT.500 is 3*NS/2.
           IPARMQ(ISPEC=14) Nibble crossover point.  Default: 14.
           IPARMQ(ISPEC=15) Number of simultaneous shifts, NS.
                            a multi-shift QR iteration.
                            If IHI-ILO+1 is ...
                            greater than      ...but less    ... the
                            or equal to ...      than        default is
                                    0               30       NS =   2+
                                   30               60       NS =   4+
                                   60              150       NS =  10
                                  150              590       NS =  **
                                  590             3000       NS =  64
                                 3000             6000       NS = 128
                                 6000             infinity   NS = 256
                        (+)  By default matrices of this order are
                             passed to the implicit double shift routine
                             xLAHQR.  See IPARMQ(ISPEC=12) above.   These
                             values of NS are used only in case of a rare
                             xLAHQR failure.
                        (**) The asterisks (**) indicate an ad-hoc
                             function increasing from 10 to 64.
           IPARMQ(ISPEC=16) Select structured matrix multiply.
                            (See ISPEC=16 above for details.)
                            Default: 3.

Definition at line 224 of file iparmq.f.

  logical function lsamen (integer N, character*( * ) CA, character*( * ) CB)

LSAMEN

Purpose:

     LSAMEN  tests if the first N letters of CA are the same as the
     first N letters of CB, regardless of case.
     LSAMEN returns .TRUE. if CA and CB are equivalent except for case
     and .FALSE. otherwise.  LSAMEN also returns .FALSE. if LEN( CA )
     or LEN( CB ) is less than N.

Parameters:
    N

              N is INTEGER
              The number of characters in CA and CB to be compared.

    CA

              CA is CHARACTER*(*)

    CB

              CB is CHARACTER*(*)
              CA and CB specify two character strings of length at least N.
              Only the first N characters of each string will be accessed.

Author:
    Univ. of Tennessee

    Univ. of California Berkeley

    Univ. of Colorado Denver

    NAG Ltd.

Date:
    December 2016

Definition at line 76 of file lsamen.f.

  logical function sisnan (real, intent(in) SIN)

SISNAN tests input for NaN.

Purpose:

     SISNAN returns .TRUE. if its argument is NaN, and .FALSE.
     otherwise.  To be replaced by the Fortran 2003 intrinsic in the
     future.

Parameters:
    SIN

              SIN is REAL
              Input to test for NaN.

Author:
    Univ. of Tennessee

    Univ. of California Berkeley

    Univ. of Colorado Denver

    NAG Ltd.

Date:
    June 2017

Definition at line 61 of file sisnan.f.

  subroutine slabad (real SMALL, real LARGE)

SLABAD

Purpose:

     SLABAD takes as input the values computed by SLAMCH for underflow and
     overflow, and returns the square root of each of these values if the
     log of LARGE is sufficiently large.  This subroutine is intended to
     identify machines with a large exponent range, such as the Crays, and
     redefine the underflow and overflow limits to be the square roots of
     the values computed by SLAMCH.  This subroutine is needed because
     SLAMCH does not compensate for poor arithmetic in the upper half of
     the exponent range, as is found on a Cray.

Parameters:
    SMALL

              SMALL is REAL
              On entry, the underflow threshold as computed by SLAMCH.
              On exit, if LOG10(LARGE) is sufficiently large, the square
              root of SMALL, otherwise unchanged.

    LARGE

              LARGE is REAL
              On entry, the overflow threshold as computed by SLAMCH.
              On exit, if LOG10(LARGE) is sufficiently large, the square
              root of LARGE, otherwise unchanged.

Author:
    Univ. of Tennessee

    Univ. of California Berkeley

    Univ. of Colorado Denver

    NAG Ltd.

Date:
    December 2016

Definition at line 76 of file slabad.f.

  subroutine slacpy (character UPLO, integer M, integer N, real, dimension( lda, * ) A, integer LDA, real, dimension( ldb, * ) B, integer LDB)

SLACPY copies all or part of one two-dimensional array to another.

Purpose:

     SLACPY copies all or part of a two-dimensional matrix A to another
     matrix B.

Parameters:
    UPLO

              UPLO is CHARACTER*1
              Specifies the part of the matrix A to be copied to B.
              = 'U':      Upper triangular part
              = 'L':      Lower triangular part
              Otherwise:  All of the matrix A

    M

              M is INTEGER
              The number of rows of the matrix A.  M >= 0.

    N

              N is INTEGER
              The number of columns of the matrix A.  N >= 0.

    A

              A is REAL array, dimension (LDA,N)
              The m by n matrix A.  If UPLO = 'U', only the upper triangle
              or trapezoid is accessed; if UPLO = 'L', only the lower
              triangle or trapezoid is accessed.

    LDA

              LDA is INTEGER
              The leading dimension of the array A.  LDA >= max(1,M).

    B

              B is REAL array, dimension (LDB,N)
              On exit, B = A in the locations specified by UPLO.

    LDB

              LDB is INTEGER
              The leading dimension of the array B.  LDB >= max(1,M).

Author:
    Univ. of Tennessee

    Univ. of California Berkeley

    Univ. of Colorado Denver

    NAG Ltd.

Date:
    December 2016

Definition at line 105 of file slacpy.f.

  subroutine slae2 (real A, real B, real C, real RT1, real RT2)

SLAE2 computes the eigenvalues of a 2-by-2 symmetric matrix.

Purpose:

     SLAE2  computes the eigenvalues of a 2-by-2 symmetric matrix
        [  A   B  ]
        [  B   C  ].
     On return, RT1 is the eigenvalue of larger absolute value, and RT2
     is the eigenvalue of smaller absolute value.

Parameters:
    A

              A is REAL
              The (1,1) element of the 2-by-2 matrix.

    B

              B is REAL
              The (1,2) and (2,1) elements of the 2-by-2 matrix.

    C

              C is REAL
              The (2,2) element of the 2-by-2 matrix.

    RT1

              RT1 is REAL
              The eigenvalue of larger absolute value.

    RT2

              RT2 is REAL
              The eigenvalue of smaller absolute value.

Author:
    Univ. of Tennessee

    Univ. of California Berkeley

    Univ. of Colorado Denver

    NAG Ltd.

Date:
    December 2016

Further Details:

      RT1 is accurate to a few ulps barring over/underflow.
      RT2 may be inaccurate if there is massive cancellation in the
      determinant A*C-B*B; higher precision or correctly rounded or
      correctly truncated arithmetic would be needed to compute RT2
      accurately in all cases.
      Overflow is possible only if RT1 is within a factor of 5 of overflow.
      Underflow is harmless if the input data is 0 or exceeds
         underflow_threshold / macheps.

Definition at line 104 of file slae2.f.

  subroutine slaebz (integer IJOB, integer NITMAX, integer N, integer MMAX, integer MINP, integer NBMIN, real ABSTOL, real RELTOL, real PIVMIN, real, dimension( * ) D, real, dimension( * ) E, real, dimension( * ) E2, integer, dimension( * ) NVAL, real, dimension( mmax, * ) AB, real, dimension( * ) C, integer MOUT, integer, dimension( mmax, * ) NAB, real, dimension( * ) WORK, integer, dimension( * ) IWORK, integer INFO)

SLAEBZ computes the number of eigenvalues of a real symmetric tridiagonal matrix which are less than or equal to a given value, and performs other tasks required by the routine sstebz.

Purpose:

     SLAEBZ contains the iteration loops which compute and use the
     function N(w), which is the count of eigenvalues of a symmetric
     tridiagonal matrix T less than or equal to its argument  w.  It
     performs a choice of two types of loops:
     IJOB=1, followed by
     IJOB=2: It takes as input a list of intervals and returns a list of
             sufficiently small intervals whose union contains the same
             eigenvalues as the union of the original intervals.
             The input intervals are (AB(j,1),AB(j,2)], j=1,...,MINP.
             The output interval (AB(j,1),AB(j,2)] will contain
             eigenvalues NAB(j,1)+1,...,NAB(j,2), where 1 <= j <= MOUT.
     IJOB=3: It performs a binary search in each input interval
             (AB(j,1),AB(j,2)] for a point  w(j)  such that
             N(w(j))=NVAL(j), and uses  C(j)  as the starting point of
             the search.  If such a w(j) is found, then on output
             AB(j,1)=AB(j,2)=w.  If no such w(j) is found, then on output
             (AB(j,1),AB(j,2)] will be a small interval containing the
             point where N(w) jumps through NVAL(j), unless that point
             lies outside the initial interval.
     Note that the intervals are in all cases half-open intervals,
     i.e., of the form  (a,b] , which includes  b  but not  a .
     To avoid underflow, the matrix should be scaled so that its largest
     element is no greater than  overflow**(1/2) * underflow**(1/4)
     in absolute value.  To assure the most accurate computation
     of small eigenvalues, the matrix should be scaled to be
     not much smaller than that, either.
     See W. Kahan "Accurate Eigenvalues of a Symmetric Tridiagonal
     Matrix", Report CS41, Computer Science Dept., Stanford
     University, July 21, 1966
     Note: the arguments are, in general, *not* checked for unreasonable
     values.

Parameters:
    IJOB

              IJOB is INTEGER
              Specifies what is to be done:
              = 1:  Compute NAB for the initial intervals.
              = 2:  Perform bisection iteration to find eigenvalues of T.
              = 3:  Perform bisection iteration to invert N(w), i.e.,
                    to find a point which has a specified number of
                    eigenvalues of T to its left.
              Other values will cause SLAEBZ to return with INFO=-1.

    NITMAX

              NITMAX is INTEGER
              The maximum number of "levels" of bisection to be
              performed, i.e., an interval of width W will not be made
              smaller than 2^(-NITMAX) * W.  If not all intervals
              have converged after NITMAX iterations, then INFO is set
              to the number of non-converged intervals.

    N

              N is INTEGER
              The dimension n of the tridiagonal matrix T.  It must be at
              least 1.

    MMAX

              MMAX is INTEGER
              The maximum number of intervals.  If more than MMAX intervals
              are generated, then SLAEBZ will quit with INFO=MMAX+1.

    MINP

              MINP is INTEGER
              The initial number of intervals.  It may not be greater than
              MMAX.

    NBMIN

              NBMIN is INTEGER
              The smallest number of intervals that should be processed
              using a vector loop.  If zero, then only the scalar loop
              will be used.

    ABSTOL

              ABSTOL is REAL
              The minimum (absolute) width of an interval.  When an
              interval is narrower than ABSTOL, or than RELTOL times the
              larger (in magnitude) endpoint, then it is considered to be
              sufficiently small, i.e., converged.  This must be at least
              zero.

    RELTOL

              RELTOL is REAL
              The minimum relative width of an interval.  When an interval
              is narrower than ABSTOL, or than RELTOL times the larger (in
              magnitude) endpoint, then it is considered to be
              sufficiently small, i.e., converged.  Note: this should
              always be at least radix*machine epsilon.

    PIVMIN

              PIVMIN is REAL
              The minimum absolute value of a "pivot" in the Sturm
              sequence loop.
              This must be at least  max |e(j)**2|*safe_min  and at
              least safe_min, where safe_min is at least
              the smallest number that can divide one without overflow.

    D

              D is REAL array, dimension (N)
              The diagonal elements of the tridiagonal matrix T.

    E

              E is REAL array, dimension (N)
              The offdiagonal elements of the tridiagonal matrix T in
              positions 1 through N-1.  E(N) is arbitrary.

    E2

              E2 is REAL array, dimension (N)
              The squares of the offdiagonal elements of the tridiagonal
              matrix T.  E2(N) is ignored.

    NVAL

              NVAL is INTEGER array, dimension (MINP)
              If IJOB=1 or 2, not referenced.
              If IJOB=3, the desired values of N(w).  The elements of NVAL
              will be reordered to correspond with the intervals in AB.
              Thus, NVAL(j) on output will not, in general be the same as
              NVAL(j) on input, but it will correspond with the interval
              (AB(j,1),AB(j,2)] on output.

    AB

              AB is REAL array, dimension (MMAX,2)
              The endpoints of the intervals.  AB(j,1) is  a(j), the left
              endpoint of the j-th interval, and AB(j,2) is b(j), the
              right endpoint of the j-th interval.  The input intervals
              will, in general, be modified, split, and reordered by the
              calculation.

    C

              C is REAL array, dimension (MMAX)
              If IJOB=1, ignored.
              If IJOB=2, workspace.
              If IJOB=3, then on input C(j) should be initialized to the
              first search point in the binary search.

    MOUT

              MOUT is INTEGER
              If IJOB=1, the number of eigenvalues in the intervals.
              If IJOB=2 or 3, the number of intervals output.
              If IJOB=3, MOUT will equal MINP.

    NAB

              NAB is INTEGER array, dimension (MMAX,2)
              If IJOB=1, then on output NAB(i,j) will be set to N(AB(i,j)).
              If IJOB=2, then on input, NAB(i,j) should be set.  It must
                 satisfy the condition:
                 N(AB(i,1)) <= NAB(i,1) <= NAB(i,2) <= N(AB(i,2)),
                 which means that in interval i only eigenvalues
                 NAB(i,1)+1,...,NAB(i,2) will be considered.  Usually,
                 NAB(i,j)=N(AB(i,j)), from a previous call to SLAEBZ with
                 IJOB=1.
                 On output, NAB(i,j) will contain
                 max(na(k),min(nb(k),N(AB(i,j)))), where k is the index of
                 the input interval that the output interval
                 (AB(j,1),AB(j,2)] came from, and na(k) and nb(k) are the
                 the input values of NAB(k,1) and NAB(k,2).
              If IJOB=3, then on output, NAB(i,j) contains N(AB(i,j)),
                 unless N(w) > NVAL(i) for all search points  w , in which
                 case NAB(i,1) will not be modified, i.e., the output
                 value will be the same as the input value (modulo
                 reorderings -- see NVAL and AB), or unless N(w) < NVAL(i)
                 for all search points  w , in which case NAB(i,2) will
                 not be modified.  Normally, NAB should be set to some
                 distinctive value(s) before SLAEBZ is called.

    WORK

              WORK is REAL array, dimension (MMAX)
              Workspace.

    IWORK

              IWORK is INTEGER array, dimension (MMAX)
              Workspace.

    INFO

              INFO is INTEGER
              = 0:       All intervals converged.
              = 1--MMAX: The last INFO intervals did not converge.
              = MMAX+1:  More than MMAX intervals were generated.

Author:
    Univ. of Tennessee

    Univ. of California Berkeley

    Univ. of Colorado Denver

    NAG Ltd.

Date:
    December 2016

Further Details:

          This routine is intended to be called only by other LAPACK
      routines, thus the interface is less user-friendly.  It is intended
      for two purposes:
      (a) finding eigenvalues.  In this case, SLAEBZ should have one or
          more initial intervals set up in AB, and SLAEBZ should be called
          with IJOB=1.  This sets up NAB, and also counts the eigenvalues.
          Intervals with no eigenvalues would usually be thrown out at
          this point.  Also, if not all the eigenvalues in an interval i
          are desired, NAB(i,1) can be increased or NAB(i,2) decreased.
          For example, set NAB(i,1)=NAB(i,2)-1 to get the largest
          eigenvalue.  SLAEBZ is then called with IJOB=2 and MMAX
          no smaller than the value of MOUT returned by the call with
          IJOB=1.  After this (IJOB=2) call, eigenvalues NAB(i,1)+1
          through NAB(i,2) are approximately AB(i,1) (or AB(i,2)) to the
          tolerance specified by ABSTOL and RELTOL.
      (b) finding an interval (a',b'] containing eigenvalues w(f),...,w(l).
          In this case, start with a Gershgorin interval  (a,b).  Set up
          AB to contain 2 search intervals, both initially (a,b).  One
          NVAL element should contain  f-1  and the other should contain  l
          , while C should contain a and b, resp.  NAB(i,1) should be -1
          and NAB(i,2) should be N+1, to flag an error if the desired
          interval does not lie in (a,b).  SLAEBZ is then called with
          IJOB=3.  On exit, if w(f-1) < w(f), then one of the intervals --
          j -- will have AB(j,1)=AB(j,2) and NAB(j,1)=NAB(j,2)=f-1, while
          if, to the specified tolerance, w(f-k)=...=w(f+r), k > 0 and r
          >= 0, then the interval will have  N(AB(j,1))=NAB(j,1)=f-k and
          N(AB(j,2))=NAB(j,2)=f+r.  The cases w(l) < w(l+1) and
          w(l-r)=...=w(l+k) are handled similarly.

Definition at line 321 of file slaebz.f.

  subroutine slaev2 (real A, real B, real C, real RT1, real RT2, real CS1, real SN1)

SLAEV2 computes the eigenvalues and eigenvectors of a 2-by-2 symmetric/Hermitian matrix.

Purpose:

     SLAEV2 computes the eigendecomposition of a 2-by-2 symmetric matrix
        [  A   B  ]
        [  B   C  ].
     On return, RT1 is the eigenvalue of larger absolute value, RT2 is the
     eigenvalue of smaller absolute value, and (CS1,SN1) is the unit right
     eigenvector for RT1, giving the decomposition
        [ CS1  SN1 ] [  A   B  ] [ CS1 -SN1 ]  =  [ RT1  0  ]
        [-SN1  CS1 ] [  B   C  ] [ SN1  CS1 ]     [  0  RT2 ].

Parameters:
    A

              A is REAL
              The (1,1) element of the 2-by-2 matrix.

    B

              B is REAL
              The (1,2) element and the conjugate of the (2,1) element of
              the 2-by-2 matrix.

    C

              C is REAL
              The (2,2) element of the 2-by-2 matrix.

    RT1

              RT1 is REAL
              The eigenvalue of larger absolute value.

    RT2

              RT2 is REAL
              The eigenvalue of smaller absolute value.

    CS1

              CS1 is REAL

    SN1

              SN1 is REAL
              The vector (CS1, SN1) is a unit right eigenvector for RT1.

Author:
    Univ. of Tennessee

    Univ. of California Berkeley

    Univ. of Colorado Denver

    NAG Ltd.

Date:
    December 2016

Further Details:

      RT1 is accurate to a few ulps barring over/underflow.
      RT2 may be inaccurate if there is massive cancellation in the
      determinant A*C-B*B; higher precision or correctly rounded or
      correctly truncated arithmetic would be needed to compute RT2
      accurately in all cases.
      CS1 and SN1 are accurate to a few ulps barring over/underflow.
      Overflow is possible only if RT1 is within a factor of 5 of overflow.
      Underflow is harmless if the input data is 0 or exceeds
         underflow_threshold / macheps.

Definition at line 122 of file slaev2.f.

  subroutine slag2d (integer M, integer N, real, dimension( ldsa, * ) SA, integer LDSA, double precision, dimension( lda, * ) A, integer LDA, integer INFO)

SLAG2D converts a single precision matrix to a double precision matrix.

Purpose:

     SLAG2D converts a SINGLE PRECISION matrix, SA, to a DOUBLE
     PRECISION matrix, A.
     Note that while it is possible to overflow while converting
     from double to single, it is not possible to overflow when
     converting from single to double.
     This is an auxiliary routine so there is no argument checking.

Parameters:
    M

              M is INTEGER
              The number of lines of the matrix A.  M >= 0.

    N

              N is INTEGER
              The number of columns of the matrix A.  N >= 0.

    SA

              SA is REAL array, dimension (LDSA,N)
              On entry, the M-by-N coefficient matrix SA.

    LDSA

              LDSA is INTEGER
              The leading dimension of the array SA.  LDSA >= max(1,M).

    A

              A is DOUBLE PRECISION array, dimension (LDA,N)
              On exit, the M-by-N coefficient matrix A.

    LDA

              LDA is INTEGER
              The leading dimension of the array A.  LDA >= max(1,M).

    INFO

              INFO is INTEGER
              = 0:  successful exit

Author:
    Univ. of Tennessee

    Univ. of California Berkeley

    Univ. of Colorado Denver

    NAG Ltd.

Date:
    December 2016

Definition at line 106 of file slag2d.f.

  subroutine slagts (integer JOB, integer N, real, dimension( * ) A, real, dimension( * ) B, real, dimension( * ) C, real, dimension( * ) D, integer, dimension( * ) IN, real, dimension( * ) Y, real TOL, integer INFO)

SLAGTS solves the system of equations (T-λI)x = y or (T-λI)Tx = y,where T is a general tridiagonal matrix and λ a scalar, using the LU factorization computed by slagtf.

Purpose:

     SLAGTS may be used to solve one of the systems of equations
        (T - lambda*I)*x = y   or   (T - lambda*I)**T*x = y,
     where T is an n by n tridiagonal matrix, for x, following the
     factorization of (T - lambda*I) as
        (T - lambda*I) = P*L*U ,
     by routine SLAGTF. The choice of equation to be solved is
     controlled by the argument JOB, and in each case there is an option
     to perturb zero or very small diagonal elements of U, this option
     being intended for use in applications such as inverse iteration.

Parameters:
    JOB

              JOB is INTEGER
              Specifies the job to be performed by SLAGTS as follows:
              =  1: The equations  (T - lambda*I)x = y  are to be solved,
                    but diagonal elements of U are not to be perturbed.
              = -1: The equations  (T - lambda*I)x = y  are to be solved
                    and, if overflow would otherwise occur, the diagonal
                    elements of U are to be perturbed. See argument TOL
                    below.
              =  2: The equations  (T - lambda*I)**Tx = y  are to be solved,
                    but diagonal elements of U are not to be perturbed.
              = -2: The equations  (T - lambda*I)**Tx = y  are to be solved
                    and, if overflow would otherwise occur, the diagonal
                    elements of U are to be perturbed. See argument TOL
                    below.

    N

              N is INTEGER
              The order of the matrix T.

    A

              A is REAL array, dimension (N)
              On entry, A must contain the diagonal elements of U as
              returned from SLAGTF.

    B

              B is REAL array, dimension (N-1)
              On entry, B must contain the first super-diagonal elements of
              U as returned from SLAGTF.

    C

              C is REAL array, dimension (N-1)
              On entry, C must contain the sub-diagonal elements of L as
              returned from SLAGTF.

    D

              D is REAL array, dimension (N-2)
              On entry, D must contain the second super-diagonal elements
              of U as returned from SLAGTF.

    IN

              IN is INTEGER array, dimension (N)
              On entry, IN must contain details of the matrix P as returned
              from SLAGTF.

    Y

              Y is REAL array, dimension (N)
              On entry, the right hand side vector y.
              On exit, Y is overwritten by the solution vector x.

    TOL

              TOL is REAL
              On entry, with  JOB .lt. 0, TOL should be the minimum
              perturbation to be made to very small diagonal elements of U.
              TOL should normally be chosen as about eps*norm(U), where eps
              is the relative machine precision, but if TOL is supplied as
              non-positive, then it is reset to eps*max( abs( u(i,j) ) ).
              If  JOB .gt. 0  then TOL is not referenced.
              On exit, TOL is changed as described above, only if TOL is
              non-positive on entry. Otherwise TOL is unchanged.

    INFO

              INFO is INTEGER
              = 0   : successful exit
              .lt. 0: if INFO = -i, the i-th argument had an illegal value
              .gt. 0: overflow would occur when computing the INFO(th)
                      element of the solution vector x. This can only occur
                      when JOB is supplied as positive and either means
                      that a diagonal element of U is very small, or that
                      the elements of the right-hand side vector y are very
                      large.

Author:
    Univ. of Tennessee

    Univ. of California Berkeley

    Univ. of Colorado Denver

    NAG Ltd.

Date:
    December 2016

Definition at line 163 of file slagts.f.

  logical function slaisnan (real, intent(in) SIN1, real, intent(in) SIN2)

SLAISNAN tests input for NaN by comparing two arguments for inequality.

Purpose:

     This routine is not for general use.  It exists solely to avoid
     over-optimization in SISNAN.
     SLAISNAN checks for NaNs by comparing its two arguments for
     inequality.  NaN is the only floating-point value where NaN != NaN
     returns .TRUE.  To check for NaNs, pass the same variable as both
     arguments.
     A compiler must assume that the two arguments are
     not the same variable, and the test will not be optimized away.
     Interprocedural or whole-program optimization may delete this
     test.  The ISNAN functions will be replaced by the correct
     Fortran 03 intrinsic once the intrinsic is widely available.

Parameters:
    SIN1

              SIN1 is REAL

    SIN2

              SIN2 is REAL
              Two numbers to compare for inequality.

Author:
    Univ. of Tennessee

    Univ. of California Berkeley

    Univ. of Colorado Denver

    NAG Ltd.

Date:
    June 2017

Definition at line 76 of file slaisnan.f.

  integer function slaneg (integer N, real, dimension( * ) D, real, dimension( * ) LLD, real SIGMA, real PIVMIN, integer R)

SLANEG computes the Sturm count.

Purpose:

     SLANEG computes the Sturm count, the number of negative pivots
     encountered while factoring tridiagonal T - sigma I = L D L^T.
     This implementation works directly on the factors without forming
     the tridiagonal matrix T.  The Sturm count is also the number of
     eigenvalues of T less than sigma.
     This routine is called from SLARRB.
     The current routine does not use the PIVMIN parameter but rather
     requires IEEE-754 propagation of Infinities and NaNs.  This
     routine also has no input range restrictions but does require
     default exception handling such that x/0 produces Inf when x is
     non-zero, and Inf/Inf produces NaN.  For more information, see:
       Marques, Riedy, and Voemel, "Benefits of IEEE-754 Features in
       Modern Symmetric Tridiagonal Eigensolvers," SIAM Journal on
       Scientific Computing, v28, n5, 2006.  DOI 10.1137/050641624
       (Tech report version in LAWN 172 with the same title.)

Parameters:
    N

              N is INTEGER
              The order of the matrix.

    D

              D is REAL array, dimension (N)
              The N diagonal elements of the diagonal matrix D.

    LLD

              LLD is REAL array, dimension (N-1)
              The (N-1) elements L(i)*L(i)*D(i).

    SIGMA

              SIGMA is REAL
              Shift amount in T - sigma I = L D L^T.

    PIVMIN

              PIVMIN is REAL
              The minimum pivot in the Sturm sequence.  May be used
              when zero pivots are encountered on non-IEEE-754
              architectures.

    R

              R is INTEGER
              The twist index for the twisted factorization that is used
              for the negcount.

Author:
    Univ. of Tennessee

    Univ. of California Berkeley

    Univ. of Colorado Denver

    NAG Ltd.

Date:
    December 2016

Contributors:
    Osni Marques, LBNL/NERSC, USA
     Christof Voemel, University of California, Berkeley, USA
     Jason Riedy, University of California, Berkeley, USA

Definition at line 120 of file slaneg.f.

  real function slanst (character NORM, integer N, real, dimension( * ) D, real, dimension( * ) E)

SLANST returns the value of the 1-norm, or the Frobenius norm, or the infinity norm, or the element of largest absolute value of a real symmetric tridiagonal matrix.

Purpose:

     SLANST  returns the value of the one norm,  or the Frobenius norm, or
     the  infinity norm,  or the  element of  largest absolute value  of a
     real symmetric tridiagonal matrix A.

Returns:
    SLANST

        SLANST = ( max(abs(A(i,j))), NORM = 'M' or 'm'
                 (
                 ( norm1(A),         NORM = '1', 'O' or 'o'
                 (
                 ( normI(A),         NORM = 'I' or 'i'
                 (
                 ( normF(A),         NORM = 'F', 'f', 'E' or 'e'
     where  norm1  denotes the  one norm of a matrix (maximum column sum),
     normI  denotes the  infinity norm  of a matrix  (maximum row sum) and
     normF  denotes the  Frobenius norm of a matrix (square root of sum of
     squares).  Note that  max(abs(A(i,j)))  is not a consistent matrix norm.

Parameters:
    NORM

              NORM is CHARACTER*1
              Specifies the value to be returned in SLANST as described
              above.

    N

              N is INTEGER
              The order of the matrix A.  N >= 0.  When N = 0, SLANST is
              set to zero.

    D

              D is REAL array, dimension (N)
              The diagonal elements of A.

    E

              E is REAL array, dimension (N-1)
              The (n-1) sub-diagonal or super-diagonal elements of A.

Author:
    Univ. of Tennessee

    Univ. of California Berkeley

    Univ. of Colorado Denver

    NAG Ltd.

Date:
    December 2016

Definition at line 102 of file slanst.f.

  real function slapy2 (real X, real Y)

SLAPY2 returns sqrt(x2+y2).

Purpose:

     SLAPY2 returns sqrt(x**2+y**2), taking care not to cause unnecessary
     overflow.

Parameters:
    X

              X is REAL

    Y

              Y is REAL
              X and Y specify the values x and y.

Author:
    Univ. of Tennessee

    Univ. of California Berkeley

    Univ. of Colorado Denver

    NAG Ltd.

Date:
    June 2017

Definition at line 65 of file slapy2.f.

  real function slapy3 (real X, real Y, real Z)

SLAPY3 returns sqrt(x2+y2+z2).

Purpose:

     SLAPY3 returns sqrt(x**2+y**2+z**2), taking care not to cause
     unnecessary overflow.

Parameters:
    X

              X is REAL

    Y

              Y is REAL

    Z

              Z is REAL
              X, Y and Z specify the values x, y and z.

Author:
    Univ. of Tennessee

    Univ. of California Berkeley

    Univ. of Colorado Denver

    NAG Ltd.

Date:
    December 2016

Definition at line 70 of file slapy3.f.

  subroutine slarnv (integer IDIST, integer, dimension( 4 ) ISEED, integer N, real, dimension( * ) X)

SLARNV returns a vector of random numbers from a uniform or normal distribution.

Purpose:

     SLARNV returns a vector of n random real numbers from a uniform or
     normal distribution.

Parameters:
    IDIST

              IDIST is INTEGER
              Specifies the distribution of the random numbers:
              = 1:  uniform (0,1)
              = 2:  uniform (-1,1)
              = 3:  normal (0,1)

    ISEED

              ISEED is INTEGER array, dimension (4)
              On entry, the seed of the random number generator; the array
              elements must be between 0 and 4095, and ISEED(4) must be
              odd.
              On exit, the seed is updated.

    N

              N is INTEGER
              The number of random numbers to be generated.

    X

              X is REAL array, dimension (N)
              The generated random numbers.

Author:
    Univ. of Tennessee

    Univ. of California Berkeley

    Univ. of Colorado Denver

    NAG Ltd.

Date:
    December 2016

Further Details:

      This routine calls the auxiliary routine SLARUV to generate random
      real numbers from a uniform (0,1) distribution, in batches of up to
      128 using vectorisable code. The Box-Muller method is used to
      transform numbers from a uniform to a normal distribution.

Definition at line 99 of file slarnv.f.

  subroutine slarra (integer N, real, dimension( * ) D, real, dimension( * ) E, real, dimension( * ) E2, real SPLTOL, real TNRM, integer NSPLIT, integer, dimension( * ) ISPLIT, integer INFO)

SLARRA computes the splitting points with the specified threshold.

Purpose:

     Compute the splitting points with threshold SPLTOL.
     SLARRA sets any "small" off-diagonal elements to zero.

Parameters:
    N

              N is INTEGER
              The order of the matrix. N > 0.

    D

              D is REAL array, dimension (N)
              On entry, the N diagonal elements of the tridiagonal
              matrix T.

    E

              E is REAL array, dimension (N)
              On entry, the first (N-1) entries contain the subdiagonal
              elements of the tridiagonal matrix T; E(N) need not be set.
              On exit, the entries E( ISPLIT( I ) ), 1 <= I <= NSPLIT,
              are set to zero, the other entries of E are untouched.

    E2

              E2 is REAL array, dimension (N)
              On entry, the first (N-1) entries contain the SQUARES of the
              subdiagonal elements of the tridiagonal matrix T;
              E2(N) need not be set.
              On exit, the entries E2( ISPLIT( I ) ),
              1 <= I <= NSPLIT, have been set to zero

    SPLTOL

              SPLTOL is REAL
              The threshold for splitting. Two criteria can be used:
              SPLTOL<0 : criterion based on absolute off-diagonal value
              SPLTOL>0 : criterion that preserves relative accuracy

    TNRM

              TNRM is REAL
              The norm of the matrix.

    NSPLIT

              NSPLIT is INTEGER
              The number of blocks T splits into. 1 <= NSPLIT <= N.

    ISPLIT

              ISPLIT is INTEGER array, dimension (N)
              The splitting points, at which T breaks up into blocks.
              The first block consists of rows/columns 1 to ISPLIT(1),
              the second of rows/columns ISPLIT(1)+1 through ISPLIT(2),
              etc., and the NSPLIT-th consists of rows/columns
              ISPLIT(NSPLIT-1)+1 through ISPLIT(NSPLIT)=N.

    INFO

              INFO is INTEGER
              = 0:  successful exit

Author:
    Univ. of Tennessee

    Univ. of California Berkeley

    Univ. of Colorado Denver

    NAG Ltd.

Date:
    June 2017

Contributors:
    Beresford Parlett, University of California, Berkeley, USA
     Jim Demmel, University of California, Berkeley, USA
     Inderjit Dhillon, University of Texas, Austin, USA
     Osni Marques, LBNL/NERSC, USA
     Christof Voemel, University of California, Berkeley, USA

Definition at line 138 of file slarra.f.

  subroutine slarrb (integer N, real, dimension( * ) D, real, dimension( * ) LLD, integer IFIRST, integer ILAST, real RTOL1, real RTOL2, integer OFFSET, real, dimension( * ) W, real, dimension( * ) WGAP, real, dimension( * ) WERR, real, dimension( * ) WORK, integer, dimension( * ) IWORK, real PIVMIN, real SPDIAM, integer TWIST, integer INFO)

SLARRB provides limited bisection to locate eigenvalues for more accuracy.

Purpose:

     Given the relatively robust representation(RRR) L D L^T, SLARRB
     does "limited" bisection to refine the eigenvalues of L D L^T,
     W( IFIRST-OFFSET ) through W( ILAST-OFFSET ), to more accuracy. Initial
     guesses for these eigenvalues are input in W, the corresponding estimate
     of the error in these guesses and their gaps are input in WERR
     and WGAP, respectively. During bisection, intervals
     [left, right] are maintained by storing their mid-points and
     semi-widths in the arrays W and WERR respectively.

Parameters:
    N

              N is INTEGER
              The order of the matrix.

    D

              D is REAL array, dimension (N)
              The N diagonal elements of the diagonal matrix D.

    LLD

              LLD is REAL array, dimension (N-1)
              The (N-1) elements L(i)*L(i)*D(i).

    IFIRST

              IFIRST is INTEGER
              The index of the first eigenvalue to be computed.

    ILAST

              ILAST is INTEGER
              The index of the last eigenvalue to be computed.

    RTOL1

              RTOL1 is REAL

    RTOL2

              RTOL2 is REAL
              Tolerance for the convergence of the bisection intervals.
              An interval [LEFT,RIGHT] has converged if
              RIGHT-LEFT.LT.MAX( RTOL1*GAP, RTOL2*MAX(|LEFT|,|RIGHT|) )
              where GAP is the (estimated) distance to the nearest
              eigenvalue.

    OFFSET

              OFFSET is INTEGER
              Offset for the arrays W, WGAP and WERR, i.e., the IFIRST-OFFSET
              through ILAST-OFFSET elements of these arrays are to be used.

    W

              W is REAL array, dimension (N)
              On input, W( IFIRST-OFFSET ) through W( ILAST-OFFSET ) are
              estimates of the eigenvalues of L D L^T indexed IFIRST through
              ILAST.
              On output, these estimates are refined.

    WGAP

              WGAP is REAL array, dimension (N-1)
              On input, the (estimated) gaps between consecutive
              eigenvalues of L D L^T, i.e., WGAP(I-OFFSET) is the gap between
              eigenvalues I and I+1. Note that if IFIRST.EQ.ILAST
              then WGAP(IFIRST-OFFSET) must be set to ZERO.
              On output, these gaps are refined.

    WERR

              WERR is REAL array, dimension (N)
              On input, WERR( IFIRST-OFFSET ) through WERR( ILAST-OFFSET ) are
              the errors in the estimates of the corresponding elements in W.
              On output, these errors are refined.

    WORK

              WORK is REAL array, dimension (2*N)
              Workspace.

    IWORK

              IWORK is INTEGER array, dimension (2*N)
              Workspace.

    PIVMIN

              PIVMIN is REAL
              The minimum pivot in the Sturm sequence.

    SPDIAM

              SPDIAM is REAL
              The spectral diameter of the matrix.

    TWIST

              TWIST is INTEGER
              The twist index for the twisted factorization that is used
              for the negcount.
              TWIST = N: Compute negcount from L D L^T - LAMBDA I = L+ D+ L+^T
              TWIST = 1: Compute negcount from L D L^T - LAMBDA I = U- D- U-^T
              TWIST = R: Compute negcount from L D L^T - LAMBDA I = N(r) D(r) N(r)

    INFO

              INFO is INTEGER
              Error flag.

Author:
    Univ. of Tennessee

    Univ. of California Berkeley

    Univ. of Colorado Denver

    NAG Ltd.

Date:
    June 2017

Contributors:
    Beresford Parlett, University of California, Berkeley, USA
     Jim Demmel, University of California, Berkeley, USA
     Inderjit Dhillon, University of Texas, Austin, USA
     Osni Marques, LBNL/NERSC, USA
     Christof Voemel, University of California, Berkeley, USA

Definition at line 198 of file slarrb.f.

  subroutine slarrc (character JOBT, integer N, real VL, real VU, real, dimension( * ) D, real, dimension( * ) E, real PIVMIN, integer EIGCNT, integer LCNT, integer RCNT, integer INFO)

SLARRC computes the number of eigenvalues of the symmetric tridiagonal matrix.

Purpose:

     Find the number of eigenvalues of the symmetric tridiagonal matrix T
     that are in the interval (VL,VU] if JOBT = 'T', and of L D L^T
     if JOBT = 'L'.

Parameters:
    JOBT

              JOBT is CHARACTER*1
              = 'T':  Compute Sturm count for matrix T.
              = 'L':  Compute Sturm count for matrix L D L^T.

    N

              N is INTEGER
              The order of the matrix. N > 0.

    VL

              VL is REAL
              The lower bound for the eigenvalues.

    VU

              VU is REAL
              The upper bound for the eigenvalues.

    D

              D is REAL array, dimension (N)
              JOBT = 'T': The N diagonal elements of the tridiagonal matrix T.
              JOBT = 'L': The N diagonal elements of the diagonal matrix D.

    E

              E is REAL array, dimension (N)
              JOBT = 'T': The N-1 offdiagonal elements of the matrix T.
              JOBT = 'L': The N-1 offdiagonal elements of the matrix L.

    PIVMIN

              PIVMIN is REAL
              The minimum pivot in the Sturm sequence for T.

    EIGCNT

              EIGCNT is INTEGER
              The number of eigenvalues of the symmetric tridiagonal matrix T
              that are in the interval (VL,VU]

    LCNT

              LCNT is INTEGER

    RCNT

              RCNT is INTEGER
              The left and right negcounts of the interval.

    INFO

              INFO is INTEGER

Author:
    Univ. of Tennessee

    Univ. of California Berkeley

    Univ. of Colorado Denver

    NAG Ltd.

Date:
    June 2016

Contributors:
    Beresford Parlett, University of California, Berkeley, USA
     Jim Demmel, University of California, Berkeley, USA
     Inderjit Dhillon, University of Texas, Austin, USA
     Osni Marques, LBNL/NERSC, USA
     Christof Voemel, University of California, Berkeley, USA

Definition at line 139 of file slarrc.f.

  subroutine slarrd (character RANGE, character ORDER, integer N, real VL, real VU, integer IL, integer IU, real, dimension( * ) GERS, real RELTOL, real, dimension( * ) D, real, dimension( * ) E, real, dimension( * ) E2, real PIVMIN, integer NSPLIT, integer, dimension( * ) ISPLIT, integer M, real, dimension( * ) W, real, dimension( * ) WERR, real WL, real WU, integer, dimension( * ) IBLOCK, integer, dimension( * ) INDEXW, real, dimension( * ) WORK, integer, dimension( * ) IWORK, integer INFO)

SLARRD computes the eigenvalues of a symmetric tridiagonal matrix to suitable accuracy.

Purpose:

     SLARRD computes the eigenvalues of a symmetric tridiagonal
     matrix T to suitable accuracy. This is an auxiliary code to be
     called from SSTEMR.
     The user may ask for all eigenvalues, all eigenvalues
     in the half-open interval (VL, VU], or the IL-th through IU-th
     eigenvalues.
     To avoid overflow, the matrix must be scaled so that its
     largest element is no greater than overflow**(1/2) * underflow**(1/4) in absolute value, and for greatest
     accuracy, it should not be much smaller than that.
     See W. Kahan "Accurate Eigenvalues of a Symmetric Tridiagonal
     Matrix", Report CS41, Computer Science Dept., Stanford
     University, July 21, 1966.

Parameters:
    RANGE

              RANGE is CHARACTER*1
              = 'A': ("All")   all eigenvalues will be found.
              = 'V': ("Value") all eigenvalues in the half-open interval
                               (VL, VU] will be found.
              = 'I': ("Index") the IL-th through IU-th eigenvalues (of the
                               entire matrix) will be found.

    ORDER

              ORDER is CHARACTER*1
              = 'B': ("By Block") the eigenvalues will be grouped by
                                  split-off block (see IBLOCK, ISPLIT) and
                                  ordered from smallest to largest within
                                  the block.
              = 'E': ("Entire matrix")
                                  the eigenvalues for the entire matrix
                                  will be ordered from smallest to
                                  largest.

    N

              N is INTEGER
              The order of the tridiagonal matrix T.  N >= 0.

    VL

              VL is REAL
              If RANGE='V', the lower bound of the interval to
              be searched for eigenvalues.  Eigenvalues less than or equal
              to VL, or greater than VU, will not be returned.  VL < VU.
              Not referenced if RANGE = 'A' or 'I'.

    VU

              VU is REAL
              If RANGE='V', the upper bound of the interval to
              be searched for eigenvalues.  Eigenvalues less than or equal
              to VL, or greater than VU, will not be returned.  VL < VU.
              Not referenced if RANGE = 'A' or 'I'.

    IL

              IL is INTEGER
              If RANGE='I', the index of the
              smallest eigenvalue to be returned.
              1 <= IL <= IU <= N, if N > 0; IL = 1 and IU = 0 if N = 0.
              Not referenced if RANGE = 'A' or 'V'.

    IU

              IU is INTEGER
              If RANGE='I', the index of the
              largest eigenvalue to be returned.
              1 <= IL <= IU <= N, if N > 0; IL = 1 and IU = 0 if N = 0.
              Not referenced if RANGE = 'A' or 'V'.

    GERS

              GERS is REAL array, dimension (2*N)
              The N Gerschgorin intervals (the i-th Gerschgorin interval
              is (GERS(2*i-1), GERS(2*i)).

    RELTOL

              RELTOL is REAL
              The minimum relative width of an interval.  When an interval
              is narrower than RELTOL times the larger (in
              magnitude) endpoint, then it is considered to be
              sufficiently small, i.e., converged.  Note: this should
              always be at least radix*machine epsilon.

    D

              D is REAL array, dimension (N)
              The n diagonal elements of the tridiagonal matrix T.

    E

              E is REAL array, dimension (N-1)
              The (n-1) off-diagonal elements of the tridiagonal matrix T.

    E2

              E2 is REAL array, dimension (N-1)
              The (n-1) squared off-diagonal elements of the tridiagonal matrix T.

    PIVMIN

              PIVMIN is REAL
              The minimum pivot allowed in the Sturm sequence for T.

    NSPLIT

              NSPLIT is INTEGER
              The number of diagonal blocks in the matrix T.
              1 <= NSPLIT <= N.

    ISPLIT

              ISPLIT is INTEGER array, dimension (N)
              The splitting points, at which T breaks up into submatrices.
              The first submatrix consists of rows/columns 1 to ISPLIT(1),
              the second of rows/columns ISPLIT(1)+1 through ISPLIT(2),
              etc., and the NSPLIT-th consists of rows/columns
              ISPLIT(NSPLIT-1)+1 through ISPLIT(NSPLIT)=N.
              (Only the first NSPLIT elements will actually be used, but
              since the user cannot know a priori what value NSPLIT will
              have, N words must be reserved for ISPLIT.)

    M

              M is INTEGER
              The actual number of eigenvalues found. 0 <= M <= N.
              (See also the description of INFO=2,3.)

    W

              W is REAL array, dimension (N)
              On exit, the first M elements of W will contain the
              eigenvalue approximations. SLARRD computes an interval
              I_j = (a_j, b_j] that includes eigenvalue j. The eigenvalue
              approximation is given as the interval midpoint
              W(j)= ( a_j + b_j)/2. The corresponding error is bounded by
              WERR(j) = abs( a_j - b_j)/2

    WERR

              WERR is REAL array, dimension (N)
              The error bound on the corresponding eigenvalue approximation
              in W.

    WL

              WL is REAL

    WU

              WU is REAL
              The interval (WL, WU] contains all the wanted eigenvalues.
              If RANGE='V', then WL=VL and WU=VU.
              If RANGE='A', then WL and WU are the global Gerschgorin bounds
                            on the spectrum.
              If RANGE='I', then WL and WU are computed by SLAEBZ from the
                            index range specified.

    IBLOCK

              IBLOCK is INTEGER array, dimension (N)
              At each row/column j where E(j) is zero or small, the
              matrix T is considered to split into a block diagonal
              matrix.  On exit, if INFO = 0, IBLOCK(i) specifies to which
              block (from 1 to the number of blocks) the eigenvalue W(i)
              belongs.  (SLARRD may use the remaining N-M elements as
              workspace.)

    INDEXW

              INDEXW is INTEGER array, dimension (N)
              The indices of the eigenvalues within each block (submatrix);
              for example, INDEXW(i)= j and IBLOCK(i)=k imply that the
              i-th eigenvalue W(i) is the j-th eigenvalue in block k.

    WORK

              WORK is REAL array, dimension (4*N)

    IWORK

              IWORK is INTEGER array, dimension (3*N)

    INFO

              INFO is INTEGER
              = 0:  successful exit
              < 0:  if INFO = -i, the i-th argument had an illegal value
              > 0:  some or all of the eigenvalues failed to converge or
                    were not computed:
                    =1 or 3: Bisection failed to converge for some
                            eigenvalues; these eigenvalues are flagged by a
                            negative block number.  The effect is that the
                            eigenvalues may not be as accurate as the
                            absolute and relative tolerances.  This is
                            generally caused by unexpectedly inaccurate
                            arithmetic.
                    =2 or 3: RANGE='I' only: Not all of the eigenvalues
                            IL:IU were found.
                            Effect: M < IU+1-IL
                            Cause:  non-monotonic arithmetic, causing the
                                    Sturm sequence to be non-monotonic.
                            Cure:   recalculate, using RANGE='A', and pick
                                    out eigenvalues IL:IU.  In some cases,
                                    increasing the PARAMETER "FUDGE" may
                                    make things work.
                    = 4:    RANGE='I', and the Gershgorin interval
                            initially used was too small.  No eigenvalues
                            were computed.
                            Probable cause: your machine has sloppy
                                            floating-point arithmetic.
                            Cure: Increase the PARAMETER "FUDGE",
                                  recompile, and try again.

Internal Parameters:

      FUDGE   REAL, default = 2
              A "fudge factor" to widen the Gershgorin intervals.  Ideally,
              a value of 1 should work, but on machines with sloppy
              arithmetic, this needs to be larger.  The default for
              publicly released versions should be large enough to handle
              the worst machine around.  Note that this has no effect
              on accuracy of the solution.

Contributors:
    W. Kahan, University of California, Berkeley, USA
     Beresford Parlett, University of California, Berkeley, USA
     Jim Demmel, University of California, Berkeley, USA
     Inderjit Dhillon, University of Texas, Austin, USA
     Osni Marques, LBNL/NERSC, USA
     Christof Voemel, University of California, Berkeley, USA

Author:
    Univ. of Tennessee

    Univ. of California Berkeley

    Univ. of Colorado Denver

    NAG Ltd.

Date:
    June 2016

Definition at line 331 of file slarrd.f.

  subroutine slarre (character RANGE, integer N, real VL, real VU, integer IL, integer IU, real, dimension( * ) D, real, dimension( * ) E, real, dimension( * ) E2, real RTOL1, real RTOL2, real SPLTOL, integer NSPLIT, integer, dimension( * ) ISPLIT, integer M, real, dimension( * ) W, real, dimension( * ) WERR, real, dimension( * ) WGAP, integer, dimension( * ) IBLOCK, integer, dimension( * ) INDEXW, real, dimension( * ) GERS, real PIVMIN, real, dimension( * ) WORK, integer, dimension( * ) IWORK, integer INFO)

SLARRE given the tridiagonal matrix T, sets small off-diagonal elements to zero and for each unreduced block Ti, finds base representations and eigenvalues.

Purpose:

     To find the desired eigenvalues of a given real symmetric
     tridiagonal matrix T, SLARRE sets any "small" off-diagonal
     elements to zero, and for each unreduced block T_i, it finds
     (a) a suitable shift at one end of the block's spectrum,
     (b) the base representation, T_i - sigma_i I = L_i D_i L_i^T, and
     (c) eigenvalues of each L_i D_i L_i^T.
     The representations and eigenvalues found are then used by
     SSTEMR to compute the eigenvectors of T.
     The accuracy varies depending on whether bisection is used to
     find a few eigenvalues or the dqds algorithm (subroutine SLASQ2) to
     conpute all and then discard any unwanted one.
     As an added benefit, SLARRE also outputs the n
     Gerschgorin intervals for the matrices L_i D_i L_i^T.

Parameters:
    RANGE

              RANGE is CHARACTER*1
              = 'A': ("All")   all eigenvalues will be found.
              = 'V': ("Value") all eigenvalues in the half-open interval
                               (VL, VU] will be found.
              = 'I': ("Index") the IL-th through IU-th eigenvalues (of the
                               entire matrix) will be found.

    N

              N is INTEGER
              The order of the matrix. N > 0.

    VL

              VL is REAL
              If RANGE='V', the lower bound for the eigenvalues.
              Eigenvalues less than or equal to VL, or greater than VU,
              will not be returned.  VL < VU.
              If RANGE='I' or ='A', SLARRE computes bounds on the desired
              part of the spectrum.

    VU

              VU is REAL
              If RANGE='V', the upper bound for the eigenvalues.
              Eigenvalues less than or equal to VL, or greater than VU,
              will not be returned.  VL < VU.
              If RANGE='I' or ='A', SLARRE computes bounds on the desired
              part of the spectrum.

    IL

              IL is INTEGER
              If RANGE='I', the index of the
              smallest eigenvalue to be returned.
              1 <= IL <= IU <= N.

    IU

              IU is INTEGER
              If RANGE='I', the index of the
              largest eigenvalue to be returned.
              1 <= IL <= IU <= N.

    D

              D is REAL array, dimension (N)
              On entry, the N diagonal elements of the tridiagonal
              matrix T.
              On exit, the N diagonal elements of the diagonal
              matrices D_i.

    E

              E is REAL array, dimension (N)
              On entry, the first (N-1) entries contain the subdiagonal
              elements of the tridiagonal matrix T; E(N) need not be set.
              On exit, E contains the subdiagonal elements of the unit
              bidiagonal matrices L_i. The entries E( ISPLIT( I ) ),
              1 <= I <= NSPLIT, contain the base points sigma_i on output.

    E2

              E2 is REAL array, dimension (N)
              On entry, the first (N-1) entries contain the SQUARES of the
              subdiagonal elements of the tridiagonal matrix T;
              E2(N) need not be set.
              On exit, the entries E2( ISPLIT( I ) ),
              1 <= I <= NSPLIT, have been set to zero

    RTOL1

              RTOL1 is REAL

    RTOL2

              RTOL2 is REAL
               Parameters for bisection.
               An interval [LEFT,RIGHT] has converged if
               RIGHT-LEFT.LT.MAX( RTOL1*GAP, RTOL2*MAX(|LEFT|,|RIGHT|) )

    SPLTOL

              SPLTOL is REAL
              The threshold for splitting.

    NSPLIT

              NSPLIT is INTEGER
              The number of blocks T splits into. 1 <= NSPLIT <= N.

    ISPLIT

              ISPLIT is INTEGER array, dimension (N)
              The splitting points, at which T breaks up into blocks.
              The first block consists of rows/columns 1 to ISPLIT(1),
              the second of rows/columns ISPLIT(1)+1 through ISPLIT(2),
              etc., and the NSPLIT-th consists of rows/columns
              ISPLIT(NSPLIT-1)+1 through ISPLIT(NSPLIT)=N.

    M

              M is INTEGER
              The total number of eigenvalues (of all L_i D_i L_i^T)
              found.

    W

              W is REAL array, dimension (N)
              The first M elements contain the eigenvalues. The
              eigenvalues of each of the blocks, L_i D_i L_i^T, are
              sorted in ascending order ( SLARRE may use the
              remaining N-M elements as workspace).

    WERR

              WERR is REAL array, dimension (N)
              The error bound on the corresponding eigenvalue in W.

    WGAP

              WGAP is REAL array, dimension (N)
              The separation from the right neighbor eigenvalue in W.
              The gap is only with respect to the eigenvalues of the same block
              as each block has its own representation tree.
              Exception: at the right end of a block we store the left gap

    IBLOCK

              IBLOCK is INTEGER array, dimension (N)
              The indices of the blocks (submatrices) associated with the
              corresponding eigenvalues in W; IBLOCK(i)=1 if eigenvalue
              W(i) belongs to the first block from the top, =2 if W(i)
              belongs to the second block, etc.

    INDEXW

              INDEXW is INTEGER array, dimension (N)
              The indices of the eigenvalues within each block (submatrix);
              for example, INDEXW(i)= 10 and IBLOCK(i)=2 imply that the
              i-th eigenvalue W(i) is the 10-th eigenvalue in block 2

    GERS

              GERS is REAL array, dimension (2*N)
              The N Gerschgorin intervals (the i-th Gerschgorin interval
              is (GERS(2*i-1), GERS(2*i)).

    PIVMIN

              PIVMIN is REAL
              The minimum pivot in the Sturm sequence for T.

    WORK

              WORK is REAL array, dimension (6*N)
              Workspace.

    IWORK

              IWORK is INTEGER array, dimension (5*N)
              Workspace.

    INFO

              INFO is INTEGER
              = 0:  successful exit
              > 0:  A problem occurred in SLARRE.
              < 0:  One of the called subroutines signaled an internal problem.
                    Needs inspection of the corresponding parameter IINFO
                    for further information.
              =-1:  Problem in SLARRD.
              = 2:  No base representation could be found in MAXTRY iterations.
                    Increasing MAXTRY and recompilation might be a remedy.
              =-3:  Problem in SLARRB when computing the refined root
                    representation for SLASQ2.
              =-4:  Problem in SLARRB when preforming bisection on the
                    desired part of the spectrum.
              =-5:  Problem in SLASQ2.
              =-6:  Problem in SLASQ2.

Author:
    Univ. of Tennessee

    Univ. of California Berkeley

    Univ. of Colorado Denver

    NAG Ltd.

Date:
    June 2016

Further Details:

      The base representations are required to suffer very little
      element growth and consequently define all their eigenvalues to
      high relative accuracy.

Contributors:
    Beresford Parlett, University of California, Berkeley, USA
     Jim Demmel, University of California, Berkeley, USA
     Inderjit Dhillon, University of Texas, Austin, USA
     Osni Marques, LBNL/NERSC, USA
     Christof Voemel, University of California, Berkeley, USA

Definition at line 307 of file slarre.f.

  subroutine slarrf (integer N, real, dimension( * ) D, real, dimension( * ) L, real, dimension( * ) LD, integer CLSTRT, integer CLEND, real, dimension( * ) W, real, dimension( * ) WGAP, real, dimension( * ) WERR, real SPDIAM, real CLGAPL, real CLGAPR, real PIVMIN, real SIGMA, real, dimension( * ) DPLUS, real, dimension( * ) LPLUS, real, dimension( * ) WORK, integer INFO)

SLARRF finds a new relatively robust representation such that at least one of the eigenvalues is relatively isolated.

Purpose:

     Given the initial representation L D L^T and its cluster of close
     eigenvalues (in a relative measure), W( CLSTRT ), W( CLSTRT+1 ), ...
     W( CLEND ), SLARRF finds a new relatively robust representation
     L D L^T - SIGMA I = L(+) D(+) L(+)^T such that at least one of the
     eigenvalues of L(+) D(+) L(+)^T is relatively isolated.

Parameters:
    N

              N is INTEGER
              The order of the matrix (subblock, if the matrix split).

    D

              D is REAL array, dimension (N)
              The N diagonal elements of the diagonal matrix D.

    L

              L is REAL array, dimension (N-1)
              The (N-1) subdiagonal elements of the unit bidiagonal
              matrix L.

    LD

              LD is REAL array, dimension (N-1)
              The (N-1) elements L(i)*D(i).

    CLSTRT

              CLSTRT is INTEGER
              The index of the first eigenvalue in the cluster.

    CLEND

              CLEND is INTEGER
              The index of the last eigenvalue in the cluster.

    W

              W is REAL array, dimension
              dimension is >=  (CLEND-CLSTRT+1)
              The eigenvalue APPROXIMATIONS of L D L^T in ascending order.
              W( CLSTRT ) through W( CLEND ) form the cluster of relatively
              close eigenalues.

    WGAP

              WGAP is REAL array, dimension
              dimension is >=  (CLEND-CLSTRT+1)
              The separation from the right neighbor eigenvalue in W.

    WERR

              WERR is REAL array, dimension
              dimension is >=  (CLEND-CLSTRT+1)
              WERR contain the semiwidth of the uncertainty
              interval of the corresponding eigenvalue APPROXIMATION in W

    SPDIAM

              SPDIAM is REAL
              estimate of the spectral diameter obtained from the
              Gerschgorin intervals

    CLGAPL

              CLGAPL is REAL

    CLGAPR

              CLGAPR is REAL
              absolute gap on each end of the cluster.
              Set by the calling routine to protect against shifts too close
              to eigenvalues outside the cluster.

    PIVMIN

              PIVMIN is REAL
              The minimum pivot allowed in the Sturm sequence.

    SIGMA

              SIGMA is REAL
              The shift used to form L(+) D(+) L(+)^T.

    DPLUS

              DPLUS is REAL array, dimension (N)
              The N diagonal elements of the diagonal matrix D(+).

    LPLUS

              LPLUS is REAL array, dimension (N-1)
              The first (N-1) elements of LPLUS contain the subdiagonal
              elements of the unit bidiagonal matrix L(+).

    WORK

              WORK is REAL array, dimension (2*N)
              Workspace.

    INFO

              INFO is INTEGER
              Signals processing OK (=0) or failure (=1)

Author:
    Univ. of Tennessee

    Univ. of California Berkeley

    Univ. of Colorado Denver

    NAG Ltd.

Date:
    June 2016

Contributors:
    Beresford Parlett, University of California, Berkeley, USA
     Jim Demmel, University of California, Berkeley, USA
     Inderjit Dhillon, University of Texas, Austin, USA
     Osni Marques, LBNL/NERSC, USA
     Christof Voemel, University of California, Berkeley, USA

Definition at line 195 of file slarrf.f.

  subroutine slarrj (integer N, real, dimension( * ) D, real, dimension( * ) E2, integer IFIRST, integer ILAST, real RTOL, integer OFFSET, real, dimension( * ) W, real, dimension( * ) WERR, real, dimension( * ) WORK, integer, dimension( * ) IWORK, real PIVMIN, real SPDIAM, integer INFO)

SLARRJ performs refinement of the initial estimates of the eigenvalues of the matrix T.

Purpose:

     Given the initial eigenvalue approximations of T, SLARRJ
     does  bisection to refine the eigenvalues of T,
     W( IFIRST-OFFSET ) through W( ILAST-OFFSET ), to more accuracy. Initial
     guesses for these eigenvalues are input in W, the corresponding estimate
     of the error in these guesses in WERR. During bisection, intervals
     [left, right] are maintained by storing their mid-points and
     semi-widths in the arrays W and WERR respectively.

Parameters:
    N

              N is INTEGER
              The order of the matrix.

    D

              D is REAL array, dimension (N)
              The N diagonal elements of T.

    E2

              E2 is REAL array, dimension (N-1)
              The Squares of the (N-1) subdiagonal elements of T.

    IFIRST

              IFIRST is INTEGER
              The index of the first eigenvalue to be computed.

    ILAST

              ILAST is INTEGER
              The index of the last eigenvalue to be computed.

    RTOL

              RTOL is REAL
              Tolerance for the convergence of the bisection intervals.
              An interval [LEFT,RIGHT] has converged if
              RIGHT-LEFT.LT.RTOL*MAX(|LEFT|,|RIGHT|).

    OFFSET

              OFFSET is INTEGER
              Offset for the arrays W and WERR, i.e., the IFIRST-OFFSET
              through ILAST-OFFSET elements of these arrays are to be used.

    W

              W is REAL array, dimension (N)
              On input, W( IFIRST-OFFSET ) through W( ILAST-OFFSET ) are
              estimates of the eigenvalues of L D L^T indexed IFIRST through
              ILAST.
              On output, these estimates are refined.

    WERR

              WERR is REAL array, dimension (N)
              On input, WERR( IFIRST-OFFSET ) through WERR( ILAST-OFFSET ) are
              the errors in the estimates of the corresponding elements in W.
              On output, these errors are refined.

    WORK

              WORK is REAL array, dimension (2*N)
              Workspace.

    IWORK

              IWORK is INTEGER array, dimension (2*N)
              Workspace.

    PIVMIN

              PIVMIN is REAL
              The minimum pivot in the Sturm sequence for T.

    SPDIAM

              SPDIAM is REAL
              The spectral diameter of T.

    INFO

              INFO is INTEGER
              Error flag.

Author:
    Univ. of Tennessee

    Univ. of California Berkeley

    Univ. of Colorado Denver

    NAG Ltd.

Date:
    June 2017

Contributors:
    Beresford Parlett, University of California, Berkeley, USA
     Jim Demmel, University of California, Berkeley, USA
     Inderjit Dhillon, University of Texas, Austin, USA
     Osni Marques, LBNL/NERSC, USA
     Christof Voemel, University of California, Berkeley, USA

Definition at line 170 of file slarrj.f.

  subroutine slarrk (integer N, integer IW, real GL, real GU, real, dimension( * ) D, real, dimension( * ) E2, real PIVMIN, real RELTOL, real W, real WERR, integer INFO)

SLARRK computes one eigenvalue of a symmetric tridiagonal matrix T to suitable accuracy.

Purpose:

     SLARRK computes one eigenvalue of a symmetric tridiagonal
     matrix T to suitable accuracy. This is an auxiliary code to be
     called from SSTEMR.
     To avoid overflow, the matrix must be scaled so that its
     largest element is no greater than overflow**(1/2) * underflow**(1/4) in absolute value, and for greatest
     accuracy, it should not be much smaller than that.
     See W. Kahan "Accurate Eigenvalues of a Symmetric Tridiagonal
     Matrix", Report CS41, Computer Science Dept., Stanford
     University, July 21, 1966.

Parameters:
    N

              N is INTEGER
              The order of the tridiagonal matrix T.  N >= 0.

    IW

              IW is INTEGER
              The index of the eigenvalues to be returned.

    GL

              GL is REAL

    GU

              GU is REAL
              An upper and a lower bound on the eigenvalue.

    D

              D is REAL array, dimension (N)
              The n diagonal elements of the tridiagonal matrix T.

    E2

              E2 is REAL array, dimension (N-1)
              The (n-1) squared off-diagonal elements of the tridiagonal matrix T.

    PIVMIN

              PIVMIN is REAL
              The minimum pivot allowed in the Sturm sequence for T.

    RELTOL

              RELTOL is REAL
              The minimum relative width of an interval.  When an interval
              is narrower than RELTOL times the larger (in
              magnitude) endpoint, then it is considered to be
              sufficiently small, i.e., converged.  Note: this should
              always be at least radix*machine epsilon.

    W

              W is REAL

    WERR

              WERR is REAL
              The error bound on the corresponding eigenvalue approximation
              in W.

    INFO

              INFO is INTEGER
              = 0:       Eigenvalue converged
              = -1:      Eigenvalue did NOT converge

Internal Parameters:

      FUDGE   REAL            , default = 2
              A "fudge factor" to widen the Gershgorin intervals.

Author:
    Univ. of Tennessee

    Univ. of California Berkeley

    Univ. of Colorado Denver

    NAG Ltd.

Date:
    June 2017

Definition at line 147 of file slarrk.f.

  subroutine slarrr (integer N, real, dimension( * ) D, real, dimension( * ) E, integer INFO)

SLARRR performs tests to decide whether the symmetric tridiagonal matrix T warrants expensive computations which guarantee high relative accuracy in the eigenvalues.

Purpose:

     Perform tests to decide whether the symmetric tridiagonal matrix T
     warrants expensive computations which guarantee high relative accuracy
     in the eigenvalues.

Parameters:
    N

              N is INTEGER
              The order of the matrix. N > 0.

    D

              D is REAL array, dimension (N)
              The N diagonal elements of the tridiagonal matrix T.

    E

              E is REAL array, dimension (N)
              On entry, the first (N-1) entries contain the subdiagonal
              elements of the tridiagonal matrix T; E(N) is set to ZERO.

    INFO

              INFO is INTEGER
              INFO = 0(default) : the matrix warrants computations preserving
                                  relative accuracy.
              INFO = 1          : the matrix warrants computations guaranteeing
                                  only absolute accuracy.

Author:
    Univ. of Tennessee

    Univ. of California Berkeley

    Univ. of Colorado Denver

    NAG Ltd.

Date:
    June 2017

Contributors:
    Beresford Parlett, University of California, Berkeley, USA
     Jim Demmel, University of California, Berkeley, USA
     Inderjit Dhillon, University of Texas, Austin, USA
     Osni Marques, LBNL/NERSC, USA
     Christof Voemel, University of California, Berkeley, USA

Definition at line 96 of file slarrr.f.

  subroutine slartg (real F, real G, real CS, real SN, real R)

SLARTG generates a plane rotation with real cosine and real sine.

Purpose:

     SLARTG generate a plane rotation so that
        [  CS  SN  ]  .  [ F ]  =  [ R ]   where CS**2 + SN**2 = 1.
        [ -SN  CS  ]     [ G ]     [ 0 ]
     This is a slower, more accurate version of the BLAS1 routine SROTG,
     with the following other differences:
        F and G are unchanged on return.
        If G=0, then CS=1 and SN=0.
        If F=0 and (G .ne. 0), then CS=0 and SN=1 without doing any
           floating point operations (saves work in SBDSQR when
           there are zeros on the diagonal).
     If F exceeds G in magnitude, CS will be positive.

Parameters:
    F

              F is REAL
              The first component of vector to be rotated.

    G

              G is REAL
              The second component of vector to be rotated.

    CS

              CS is REAL
              The cosine of the rotation.

    SN

              SN is REAL
              The sine of the rotation.

    R

              R is REAL
              The nonzero component of the rotated vector.
      This version has a few statements commented out for thread safety
      (machine parameters are computed on each entry). 10 feb 03, SJH.

Author:
    Univ. of Tennessee

    Univ. of California Berkeley

    Univ. of Colorado Denver

    NAG Ltd.

Date:
    December 2016

Definition at line 99 of file slartg.f.

  subroutine slartgp (real F, real G, real CS, real SN, real R)

SLARTGP generates a plane rotation so that the diagonal is nonnegative.

Purpose:

     SLARTGP generates a plane rotation so that
        [  CS  SN  ]  .  [ F ]  =  [ R ]   where CS**2 + SN**2 = 1.
        [ -SN  CS  ]     [ G ]     [ 0 ]
     This is a slower, more accurate version of the Level 1 BLAS routine SROTG,
     with the following other differences:
        F and G are unchanged on return.
        If G=0, then CS=(+/-)1 and SN=0.
        If F=0 and (G .ne. 0), then CS=0 and SN=(+/-)1.
     The sign is chosen so that R >= 0.

Parameters:
    F

              F is REAL
              The first component of vector to be rotated.

    G

              G is REAL
              The second component of vector to be rotated.

    CS

              CS is REAL
              The cosine of the rotation.

    SN

              SN is REAL
              The sine of the rotation.

    R

              R is REAL
              The nonzero component of the rotated vector.
      This version has a few statements commented out for thread safety
      (machine parameters are computed on each entry). 10 feb 03, SJH.

Author:
    Univ. of Tennessee

    Univ. of California Berkeley

    Univ. of Colorado Denver

    NAG Ltd.

Date:
    December 2016

Definition at line 97 of file slartgp.f.

  subroutine slaruv (integer, dimension( 4 ) ISEED, integer N, real, dimension( n ) X)

SLARUV returns a vector of n random real numbers from a uniform distribution.

Purpose:

     SLARUV returns a vector of n random real numbers from a uniform (0,1)
     distribution (n <= 128).
     This is an auxiliary routine called by SLARNV and CLARNV.

Parameters:
    ISEED

              ISEED is INTEGER array, dimension (4)
              On entry, the seed of the random number generator; the array
              elements must be between 0 and 4095, and ISEED(4) must be
              odd.
              On exit, the seed is updated.

    N

              N is INTEGER
              The number of random numbers to be generated. N <= 128.

    X

              X is REAL array, dimension (N)
              The generated random numbers.

Author:
    Univ. of Tennessee

    Univ. of California Berkeley

    Univ. of Colorado Denver

    NAG Ltd.

Date:
    December 2016

Further Details:

      This routine uses a multiplicative congruential method with modulus
      2**48 and multiplier 33952834046453 (see G.S.Fishman,
      'Multiplicative congruential random number generators with modulus
      2**b: an exhaustive analysis for b = 32 and a partial analysis for
      b = 48', Math. Comp. 189, pp 331-344, 1990).
      48-bit integers are stored in 4 integer array elements with 12 bits
      per element. Hence the routine is portable across machines with
      integers of 32 bits or more.

Definition at line 97 of file slaruv.f.

  subroutine slas2 (real F, real G, real H, real SSMIN, real SSMAX)

SLAS2 computes singular values of a 2-by-2 triangular matrix.

Purpose:

     SLAS2  computes the singular values of the 2-by-2 matrix
        [  F   G  ]
        [  0   H  ].
     On return, SSMIN is the smaller singular value and SSMAX is the
     larger singular value.

Parameters:
    F

              F is REAL
              The (1,1) element of the 2-by-2 matrix.

    G

              G is REAL
              The (1,2) element of the 2-by-2 matrix.

    H

              H is REAL
              The (2,2) element of the 2-by-2 matrix.

    SSMIN

              SSMIN is REAL
              The smaller singular value.

    SSMAX

              SSMAX is REAL
              The larger singular value.

Author:
    Univ. of Tennessee

    Univ. of California Berkeley

    Univ. of Colorado Denver

    NAG Ltd.

Date:
    December 2016

Further Details:

      Barring over/underflow, all output quantities are correct to within
      a few units in the last place (ulps), even in the absence of a guard
      digit in addition/subtraction.
      In IEEE arithmetic, the code works correctly if one matrix element is
      infinite.
      Overflow will not occur unless the largest singular value itself
      overflows, or is within a few ulps of overflow. (On machines with
      partial overflow, like the Cray, overflow may occur if the largest
      singular value is within a factor of 2 of overflow.)
      Underflow is harmless if underflow is gradual. Otherwise, results
      may correspond to a matrix modified by perturbations of size near
      the underflow threshold.

Definition at line 109 of file slas2.f.

  subroutine slascl (character TYPE, integer KL, integer KU, real CFROM, real CTO, integer M, integer N, real, dimension( lda, * ) A, integer LDA, integer INFO)

SLASCL multiplies a general rectangular matrix by a real scalar defined as cto/cfrom.

Purpose:

     SLASCL multiplies the M by N real matrix A by the real scalar
     CTO/CFROM.  This is done without over/underflow as long as the final
     result CTO*A(I,J)/CFROM does not over/underflow. TYPE specifies that
     A may be full, upper triangular, lower triangular, upper Hessenberg,
     or banded.

Parameters:
    TYPE

              TYPE is CHARACTER*1
              TYPE indices the storage type of the input matrix.
              = 'G':  A is a full matrix.
              = 'L':  A is a lower triangular matrix.
              = 'U':  A is an upper triangular matrix.
              = 'H':  A is an upper Hessenberg matrix.
              = 'B':  A is a symmetric band matrix with lower bandwidth KL
                      and upper bandwidth KU and with the only the lower
                      half stored.
              = 'Q':  A is a symmetric band matrix with lower bandwidth KL
                      and upper bandwidth KU and with the only the upper
                      half stored.
              = 'Z':  A is a band matrix with lower bandwidth KL and upper
                      bandwidth KU. See SGBTRF for storage details.

    KL

              KL is INTEGER
              The lower bandwidth of A.  Referenced only if TYPE = 'B',
              'Q' or 'Z'.

    KU

              KU is INTEGER
              The upper bandwidth of A.  Referenced only if TYPE = 'B',
              'Q' or 'Z'.

    CFROM

              CFROM is REAL

    CTO

              CTO is REAL
              The matrix A is multiplied by CTO/CFROM. A(I,J) is computed
              without over/underflow if the final result CTO*A(I,J)/CFROM
              can be represented without over/underflow.  CFROM must be
              nonzero.

    M

              M is INTEGER
              The number of rows of the matrix A.  M >= 0.

    N

              N is INTEGER
              The number of columns of the matrix A.  N >= 0.

    A

              A is REAL array, dimension (LDA,N)
              The matrix to be multiplied by CTO/CFROM.  See TYPE for the
              storage type.

    LDA

              LDA is INTEGER
              The leading dimension of the array A.
              If TYPE = 'G', 'L', 'U', 'H', LDA >= max(1,M);
                 TYPE = 'B', LDA >= KL+1;
                 TYPE = 'Q', LDA >= KU+1;
                 TYPE = 'Z', LDA >= 2*KL+KU+1.

    INFO

              INFO is INTEGER
              0  - successful exit
              <0 - if INFO = -i, the i-th argument had an illegal value.

Author:
    Univ. of Tennessee

    Univ. of California Berkeley

    Univ. of Colorado Denver

    NAG Ltd.

Date:
    June 2016

Definition at line 145 of file slascl.f.

  subroutine slasd0 (integer N, integer SQRE, real, dimension( * ) D, real, dimension( * ) E, real, dimension( ldu, * ) U, integer LDU, real, dimension( ldvt, * ) VT, integer LDVT, integer SMLSIZ, integer, dimension( * ) IWORK, real, dimension( * ) WORK, integer INFO)

SLASD0 computes the singular values of a real upper bidiagonal n-by-m matrix B with diagonal d and off-diagonal e. Used by sbdsdc.

Purpose:

     Using a divide and conquer approach, SLASD0 computes the singular
     value decomposition (SVD) of a real upper bidiagonal N-by-M
     matrix B with diagonal D and offdiagonal E, where M = N + SQRE.
     The algorithm computes orthogonal matrices U and VT such that
     B = U * S * VT. The singular values S are overwritten on D.
     A related subroutine, SLASDA, computes only the singular values,
     and optionally, the singular vectors in compact form.

Parameters:
    N

              N is INTEGER
             On entry, the row dimension of the upper bidiagonal matrix.
             This is also the dimension of the main diagonal array D.

    SQRE

              SQRE is INTEGER
             Specifies the column dimension of the bidiagonal matrix.
             = 0: The bidiagonal matrix has column dimension M = N;
             = 1: The bidiagonal matrix has column dimension M = N+1;

    D

              D is REAL array, dimension (N)
             On entry D contains the main diagonal of the bidiagonal
             matrix.
             On exit D, if INFO = 0, contains its singular values.

    E

              E is REAL array, dimension (M-1)
             Contains the subdiagonal entries of the bidiagonal matrix.
             On exit, E has been destroyed.

    U

              U is REAL array, dimension (LDU, N)
             On exit, U contains the left singular vectors.

    LDU

              LDU is INTEGER
             On entry, leading dimension of U.

    VT

              VT is REAL array, dimension (LDVT, M)
             On exit, VT**T contains the right singular vectors.

    LDVT

              LDVT is INTEGER
             On entry, leading dimension of VT.

    SMLSIZ

              SMLSIZ is INTEGER
             On entry, maximum size of the subproblems at the
             bottom of the computation tree.

    IWORK

              IWORK is INTEGER array, dimension (8*N)

    WORK

              WORK is REAL array, dimension (3*M**2+2*M)

    INFO

              INFO is INTEGER
              = 0:  successful exit.
              < 0:  if INFO = -i, the i-th argument had an illegal value.
              > 0:  if INFO = 1, a singular value did not converge

Author:
    Univ. of Tennessee

    Univ. of California Berkeley

    Univ. of Colorado Denver

    NAG Ltd.

Date:
    June 2017

Contributors:
    Ming Gu and Huan Ren, Computer Science Division, University of California at Berkeley, USA

Definition at line 152 of file slasd0.f.

  subroutine slasd1 (integer NL, integer NR, integer SQRE, real, dimension( * ) D, real ALPHA, real BETA, real, dimension( ldu, * ) U, integer LDU, real, dimension( ldvt, * ) VT, integer LDVT, integer, dimension( * ) IDXQ, integer, dimension( * ) IWORK, real, dimension( * ) WORK, integer INFO)

SLASD1 computes the SVD of an upper bidiagonal matrix B of the specified size. Used by sbdsdc.

Purpose:

     SLASD1 computes the SVD of an upper bidiagonal N-by-M matrix B,
     where N = NL + NR + 1 and M = N + SQRE. SLASD1 is called from SLASD0.
     A related subroutine SLASD7 handles the case in which the singular
     values (and the singular vectors in factored form) are desired.
     SLASD1 computes the SVD as follows:
                   ( D1(in)    0    0       0 )
       B = U(in) * (   Z1**T   a   Z2**T    b ) * VT(in)
                   (   0       0   D2(in)   0 )
         = U(out) * ( D(out) 0) * VT(out)
     where Z**T = (Z1**T a Z2**T b) = u**T VT**T, and u is a vector of dimension M
     with ALPHA and BETA in the NL+1 and NL+2 th entries and zeros
     elsewhere; and the entry b is empty if SQRE = 0.
     The left singular vectors of the original matrix are stored in U, and
     the transpose of the right singular vectors are stored in VT, and the
     singular values are in D.  The algorithm consists of three stages:
        The first stage consists of deflating the size of the problem
        when there are multiple singular values or when there are zeros in
        the Z vector.  For each such occurrence the dimension of the
        secular equation problem is reduced by one.  This stage is
        performed by the routine SLASD2.
        The second stage consists of calculating the updated
        singular values. This is done by finding the square roots of the
        roots of the secular equation via the routine SLASD4 (as called
        by SLASD3). This routine also calculates the singular vectors of
        the current problem.
        The final stage consists of computing the updated singular vectors
        directly using the updated singular values.  The singular vectors
        for the current problem are multiplied with the singular vectors
        from the overall problem.

Parameters:
    NL

              NL is INTEGER
             The row dimension of the upper block.  NL >= 1.

    NR

              NR is INTEGER
             The row dimension of the lower block.  NR >= 1.

    SQRE

              SQRE is INTEGER
             = 0: the lower block is an NR-by-NR square matrix.
             = 1: the lower block is an NR-by-(NR+1) rectangular matrix.
             The bidiagonal matrix has row dimension N = NL + NR + 1,
             and column dimension M = N + SQRE.

    D

              D is REAL array, dimension (NL+NR+1).
             N = NL+NR+1
             On entry D(1:NL,1:NL) contains the singular values of the
             upper block; and D(NL+2:N) contains the singular values of
             the lower block. On exit D(1:N) contains the singular values
             of the modified matrix.

    ALPHA

              ALPHA is REAL
             Contains the diagonal element associated with the added row.

    BETA

              BETA is REAL
             Contains the off-diagonal element associated with the added
             row.

    U

              U is REAL array, dimension (LDU,N)
             On entry U(1:NL, 1:NL) contains the left singular vectors of
             the upper block; U(NL+2:N, NL+2:N) contains the left singular
             vectors of the lower block. On exit U contains the left
             singular vectors of the bidiagonal matrix.

    LDU

              LDU is INTEGER
             The leading dimension of the array U.  LDU >= max( 1, N ).

    VT

              VT is REAL array, dimension (LDVT,M)
             where M = N + SQRE.
             On entry VT(1:NL+1, 1:NL+1)**T contains the right singular
             vectors of the upper block; VT(NL+2:M, NL+2:M)**T contains
             the right singular vectors of the lower block. On exit
             VT**T contains the right singular vectors of the
             bidiagonal matrix.

    LDVT

              LDVT is INTEGER
             The leading dimension of the array VT.  LDVT >= max( 1, M ).

    IDXQ

              IDXQ is INTEGER array, dimension (N)
             This contains the permutation which will reintegrate the
             subproblem just solved back into sorted order, i.e.
             D( IDXQ( I = 1, N ) ) will be in ascending order.

    IWORK

              IWORK is INTEGER array, dimension (4*N)

    WORK

              WORK is REAL array, dimension (3*M**2+2*M)

    INFO

              INFO is INTEGER
              = 0:  successful exit.
              < 0:  if INFO = -i, the i-th argument had an illegal value.
              > 0:  if INFO = 1, a singular value did not converge

Author:
    Univ. of Tennessee

    Univ. of California Berkeley

    Univ. of Colorado Denver

    NAG Ltd.

Date:
    June 2016

Contributors:
    Ming Gu and Huan Ren, Computer Science Division, University of California at Berkeley, USA

Definition at line 206 of file slasd1.f.

  subroutine slasd2 (integer NL, integer NR, integer SQRE, integer K, real, dimension( * ) D, real, dimension( * ) Z, real ALPHA, real BETA, real, dimension( ldu, * ) U, integer LDU, real, dimension( ldvt, * ) VT, integer LDVT, real, dimension( * ) DSIGMA, real, dimension( ldu2, * ) U2, integer LDU2, real, dimension( ldvt2, * ) VT2, integer LDVT2, integer, dimension( * ) IDXP, integer, dimension( * ) IDX, integer, dimension( * ) IDXC, integer, dimension( * ) IDXQ, integer, dimension( * ) COLTYP, integer INFO)

SLASD2 merges the two sets of singular values together into a single sorted set. Used by sbdsdc.

Purpose:

     SLASD2 merges the two sets of singular values together into a single
     sorted set.  Then it tries to deflate the size of the problem.
     There are two ways in which deflation can occur:  when two or more
     singular values are close together or if there is a tiny entry in the
     Z vector.  For each such occurrence the order of the related secular
     equation problem is reduced by one.
     SLASD2 is called from SLASD1.

Parameters:
    NL

              NL is INTEGER
             The row dimension of the upper block.  NL >= 1.

    NR

              NR is INTEGER
             The row dimension of the lower block.  NR >= 1.

    SQRE

              SQRE is INTEGER
             = 0: the lower block is an NR-by-NR square matrix.
             = 1: the lower block is an NR-by-(NR+1) rectangular matrix.
             The bidiagonal matrix has N = NL + NR + 1 rows and
             M = N + SQRE >= N columns.

    K

              K is INTEGER
             Contains the dimension of the non-deflated matrix,
             This is the order of the related secular equation. 1 <= K <=N.

    D

              D is REAL array, dimension (N)
             On entry D contains the singular values of the two submatrices
             to be combined.  On exit D contains the trailing (N-K) updated
             singular values (those which were deflated) sorted into
             increasing order.

    Z

              Z is REAL array, dimension (N)
             On exit Z contains the updating row vector in the secular
             equation.

    ALPHA

              ALPHA is REAL
             Contains the diagonal element associated with the added row.

    BETA

              BETA is REAL
             Contains the off-diagonal element associated with the added
             row.

    U

              U is REAL array, dimension (LDU,N)
             On entry U contains the left singular vectors of two
             submatrices in the two square blocks with corners at (1,1),
             (NL, NL), and (NL+2, NL+2), (N,N).
             On exit U contains the trailing (N-K) updated left singular
             vectors (those which were deflated) in its last N-K columns.

    LDU

              LDU is INTEGER
             The leading dimension of the array U.  LDU >= N.

    VT

              VT is REAL array, dimension (LDVT,M)
             On entry VT**T contains the right singular vectors of two
             submatrices in the two square blocks with corners at (1,1),
             (NL+1, NL+1), and (NL+2, NL+2), (M,M).
             On exit VT**T contains the trailing (N-K) updated right singular
             vectors (those which were deflated) in its last N-K columns.
             In case SQRE =1, the last row of VT spans the right null
             space.

    LDVT

              LDVT is INTEGER
             The leading dimension of the array VT.  LDVT >= M.

    DSIGMA

              DSIGMA is REAL array, dimension (N)
             Contains a copy of the diagonal elements (K-1 singular values
             and one zero) in the secular equation.

    U2

              U2 is REAL array, dimension (LDU2,N)
             Contains a copy of the first K-1 left singular vectors which
             will be used by SLASD3 in a matrix multiply (SGEMM) to solve
             for the new left singular vectors. U2 is arranged into four
             blocks. The first block contains a column with 1 at NL+1 and
             zero everywhere else; the second block contains non-zero
             entries only at and above NL; the third contains non-zero
             entries only below NL+1; and the fourth is dense.

    LDU2

              LDU2 is INTEGER
             The leading dimension of the array U2.  LDU2 >= N.

    VT2

              VT2 is REAL array, dimension (LDVT2,N)
             VT2**T contains a copy of the first K right singular vectors
             which will be used by SLASD3 in a matrix multiply (SGEMM) to
             solve for the new right singular vectors. VT2 is arranged into
             three blocks. The first block contains a row that corresponds
             to the special 0 diagonal element in SIGMA; the second block
             contains non-zeros only at and before NL +1; the third block
             contains non-zeros only at and after  NL +2.

    LDVT2

              LDVT2 is INTEGER
             The leading dimension of the array VT2.  LDVT2 >= M.

    IDXP

              IDXP is INTEGER array, dimension (N)
             This will contain the permutation used to place deflated
             values of D at the end of the array. On output IDXP(2:K)
             points to the nondeflated D-values and IDXP(K+1:N)
             points to the deflated singular values.

    IDX

              IDX is INTEGER array, dimension (N)
             This will contain the permutation used to sort the contents of
             D into ascending order.

    IDXC

              IDXC is INTEGER array, dimension (N)
             This will contain the permutation used to arrange the columns
             of the deflated U matrix into three groups:  the first group
             contains non-zero entries only at and above NL, the second
             contains non-zero entries only below NL+2, and the third is
             dense.

    IDXQ

              IDXQ is INTEGER array, dimension (N)
             This contains the permutation which separately sorts the two
             sub-problems in D into ascending order.  Note that entries in
             the first hlaf of this permutation must first be moved one
             position backward; and entries in the second half
             must first have NL+1 added to their values.

    COLTYP

              COLTYP is INTEGER array, dimension (N)
             As workspace, this will contain a label which will indicate
             which of the following types a column in the U2 matrix or a
             row in the VT2 matrix is:
             1 : non-zero in the upper half only
             2 : non-zero in the lower half only
             3 : dense
             4 : deflated
             On exit, it is an array of dimension 4, with COLTYP(I) being
             the dimension of the I-th type columns.

    INFO

              INFO is INTEGER
              = 0:  successful exit.
              < 0:  if INFO = -i, the i-th argument had an illegal value.

Author:
    Univ. of Tennessee

    Univ. of California Berkeley

    Univ. of Colorado Denver

    NAG Ltd.

Date:
    December 2016

Contributors:
    Ming Gu and Huan Ren, Computer Science Division, University of California at Berkeley, USA

Definition at line 271 of file slasd2.f.

  subroutine slasd3 (integer NL, integer NR, integer SQRE, integer K, real, dimension( * ) D, real, dimension( ldq, * ) Q, integer LDQ, real, dimension( * ) DSIGMA, real, dimension( ldu, * ) U, integer LDU, real, dimension( ldu2, * ) U2, integer LDU2, real, dimension( ldvt, * ) VT, integer LDVT, real, dimension( ldvt2, * ) VT2, integer LDVT2, integer, dimension( * ) IDXC, integer, dimension( * ) CTOT, real, dimension( * ) Z, integer INFO)

SLASD3 finds all square roots of the roots of the secular equation, as defined by the values in D and Z, and then updates the singular vectors by matrix multiplication. Used by sbdsdc.

Purpose:

     SLASD3 finds all the square roots of the roots of the secular
     equation, as defined by the values in D and Z.  It makes the
     appropriate calls to SLASD4 and then updates the singular
     vectors by matrix multiplication.
     This code makes very mild assumptions about floating point
     arithmetic. It will work on machines with a guard digit in
     add/subtract, or on those binary machines without guard digits
     which subtract like the Cray XMP, Cray YMP, Cray C 90, or Cray 2.
     It could conceivably fail on hexadecimal or decimal machines
     without guard digits, but we know of none.
     SLASD3 is called from SLASD1.

Parameters:
    NL

              NL is INTEGER
             The row dimension of the upper block.  NL >= 1.

    NR

              NR is INTEGER
             The row dimension of the lower block.  NR >= 1.

    SQRE

              SQRE is INTEGER
             = 0: the lower block is an NR-by-NR square matrix.
             = 1: the lower block is an NR-by-(NR+1) rectangular matrix.
             The bidiagonal matrix has N = NL + NR + 1 rows and
             M = N + SQRE >= N columns.

    K

              K is INTEGER
             The size of the secular equation, 1 =< K = < N.

    D

              D is REAL array, dimension(K)
             On exit the square roots of the roots of the secular equation,
             in ascending order.

    Q

              Q is REAL array, dimension (LDQ,K)

    LDQ

              LDQ is INTEGER
             The leading dimension of the array Q.  LDQ >= K.

    DSIGMA

              DSIGMA is REAL array, dimension(K)
             The first K elements of this array contain the old roots
             of the deflated updating problem.  These are the poles
             of the secular equation.

    U

              U is REAL array, dimension (LDU, N)
             The last N - K columns of this matrix contain the deflated
             left singular vectors.

    LDU

              LDU is INTEGER
             The leading dimension of the array U.  LDU >= N.

    U2

              U2 is REAL array, dimension (LDU2, N)
             The first K columns of this matrix contain the non-deflated
             left singular vectors for the split problem.

    LDU2

              LDU2 is INTEGER
             The leading dimension of the array U2.  LDU2 >= N.

    VT

              VT is REAL array, dimension (LDVT, M)
             The last M - K columns of VT**T contain the deflated
             right singular vectors.

    LDVT

              LDVT is INTEGER
             The leading dimension of the array VT.  LDVT >= N.

    VT2

              VT2 is REAL array, dimension (LDVT2, N)
             The first K columns of VT2**T contain the non-deflated
             right singular vectors for the split problem.

    LDVT2

              LDVT2 is INTEGER
             The leading dimension of the array VT2.  LDVT2 >= N.

    IDXC

              IDXC is INTEGER array, dimension (N)
             The permutation used to arrange the columns of U (and rows of
             VT) into three groups:  the first group contains non-zero
             entries only at and above (or before) NL +1; the second
             contains non-zero entries only at and below (or after) NL+2;
             and the third is dense. The first column of U and the row of
             VT are treated separately, however.
             The rows of the singular vectors found by SLASD4
             must be likewise permuted before the matrix multiplies can
             take place.

    CTOT

              CTOT is INTEGER array, dimension (4)
             A count of the total number of the various types of columns
             in U (or rows in VT), as described in IDXC. The fourth column
             type is any column which has been deflated.

    Z

              Z is REAL array, dimension (K)
             The first K elements of this array contain the components
             of the deflation-adjusted updating row vector.

    INFO

              INFO is INTEGER
             = 0:  successful exit.
             < 0:  if INFO = -i, the i-th argument had an illegal value.
             > 0:  if INFO = 1, a singular value did not converge

Author:
    Univ. of Tennessee

    Univ. of California Berkeley

    Univ. of Colorado Denver

    NAG Ltd.

Date:
    June 2017

Contributors:
    Ming Gu and Huan Ren, Computer Science Division, University of California at Berkeley, USA

Definition at line 226 of file slasd3.f.

  subroutine slasd4 (integer N, integer I, real, dimension( * ) D, real, dimension( * ) Z, real, dimension( * ) DELTA, real RHO, real SIGMA, real, dimension( * ) WORK, integer INFO)

SLASD4 computes the square root of the i-th updated eigenvalue of a positive symmetric rank-one modification to a positive diagonal matrix. Used by sbdsdc.

Purpose:

     This subroutine computes the square root of the I-th updated
     eigenvalue of a positive symmetric rank-one modification to
     a positive diagonal matrix whose entries are given as the squares
     of the corresponding entries in the array d, and that
            0 <= D(i) < D(j)  for  i < j
     and that RHO > 0. This is arranged by the calling routine, and is
     no loss in generality.  The rank-one modified system is thus
            diag( D ) * diag( D ) +  RHO * Z * Z_transpose.
     where we assume the Euclidean norm of Z is 1.
     The method consists of approximating the rational functions in the
     secular equation by simpler interpolating rational functions.

Parameters:
    N

              N is INTEGER
             The length of all arrays.

    I

              I is INTEGER
             The index of the eigenvalue to be computed.  1 <= I <= N.

    D

              D is REAL array, dimension ( N )
             The original eigenvalues.  It is assumed that they are in
             order, 0 <= D(I) < D(J)  for I < J.

    Z

              Z is REAL array, dimension ( N )
             The components of the updating vector.

    DELTA

              DELTA is REAL array, dimension ( N )
             If N .ne. 1, DELTA contains (D(j) - sigma_I) in its  j-th
             component.  If N = 1, then DELTA(1) = 1.  The vector DELTA
             contains the information necessary to construct the
             (singular) eigenvectors.

    RHO

              RHO is REAL
             The scalar in the symmetric updating formula.

    SIGMA

              SIGMA is REAL
             The computed sigma_I, the I-th updated eigenvalue.

    WORK

              WORK is REAL array, dimension ( N )
             If N .ne. 1, WORK contains (D(j) + sigma_I) in its  j-th
             component.  If N = 1, then WORK( 1 ) = 1.

    INFO

              INFO is INTEGER
             = 0:  successful exit
             > 0:  if INFO = 1, the updating process failed.

Internal Parameters:

      Logical variable ORGATI (origin-at-i?) is used for distinguishing
      whether D(i) or D(i+1) is treated as the origin.
                ORGATI = .true.    origin at i
                ORGATI = .false.   origin at i+1
      Logical variable SWTCH3 (switch-for-3-poles?) is for noting
      if we are working with THREE poles!
      MAXIT is the maximum number of iterations allowed for each
      eigenvalue.

Author:
    Univ. of Tennessee

    Univ. of California Berkeley

    Univ. of Colorado Denver

    NAG Ltd.

Date:
    December 2016

Contributors:
    Ren-Cang Li, Computer Science Division, University of California at Berkeley, USA

Definition at line 155 of file slasd4.f.

  subroutine slasd5 (integer I, real, dimension( 2 ) D, real, dimension( 2 ) Z, real, dimension( 2 ) DELTA, real RHO, real DSIGMA, real, dimension( 2 ) WORK)

SLASD5 computes the square root of the i-th eigenvalue of a positive symmetric rank-one modification of a 2-by-2 diagonal matrix. Used by sbdsdc.

Purpose:

     This subroutine computes the square root of the I-th eigenvalue
     of a positive symmetric rank-one modification of a 2-by-2 diagonal
     matrix
                diag( D ) * diag( D ) +  RHO * Z * transpose(Z) .
     The diagonal entries in the array D are assumed to satisfy
                0 <= D(i) < D(j)  for  i < j .
     We also assume RHO > 0 and that the Euclidean norm of the vector
     Z is one.

Parameters:
    I

              I is INTEGER
             The index of the eigenvalue to be computed.  I = 1 or I = 2.

    D

              D is REAL array, dimension (2)
             The original eigenvalues.  We assume 0 <= D(1) < D(2).

    Z

              Z is REAL array, dimension (2)
             The components of the updating vector.

    DELTA

              DELTA is REAL array, dimension (2)
             Contains (D(j) - sigma_I) in its  j-th component.
             The vector DELTA contains the information necessary
             to construct the eigenvectors.

    RHO

              RHO is REAL
             The scalar in the symmetric updating formula.

    DSIGMA

              DSIGMA is REAL
             The computed sigma_I, the I-th updated eigenvalue.

    WORK

              WORK is REAL array, dimension (2)
             WORK contains (D(j) + sigma_I) in its  j-th component.

Author:
    Univ. of Tennessee

    Univ. of California Berkeley

    Univ. of Colorado Denver

    NAG Ltd.

Date:
    December 2016

Contributors:
    Ren-Cang Li, Computer Science Division, University of California at Berkeley, USA

Definition at line 118 of file slasd5.f.

  subroutine slasd6 (integer ICOMPQ, integer NL, integer NR, integer SQRE, real, dimension( * ) D, real, dimension( * ) VF, real, dimension( * ) VL, real ALPHA, real BETA, integer, dimension( * ) IDXQ, integer, dimension( * ) PERM, integer GIVPTR, integer, dimension( ldgcol, * ) GIVCOL, integer LDGCOL, real, dimension( ldgnum, * ) GIVNUM, integer LDGNUM, real, dimension( ldgnum, * ) POLES, real, dimension( * ) DIFL, real, dimension( * ) DIFR, real, dimension( * ) Z, integer K, real C, real S, real, dimension( * ) WORK, integer, dimension( * ) IWORK, integer INFO)

SLASD6 computes the SVD of an updated upper bidiagonal matrix obtained by merging two smaller ones by appending a row. Used by sbdsdc.

Purpose:

     SLASD6 computes the SVD of an updated upper bidiagonal matrix B
     obtained by merging two smaller ones by appending a row. This
     routine is used only for the problem which requires all singular
     values and optionally singular vector matrices in factored form.
     B is an N-by-M matrix with N = NL + NR + 1 and M = N + SQRE.
     A related subroutine, SLASD1, handles the case in which all singular
     values and singular vectors of the bidiagonal matrix are desired.
     SLASD6 computes the SVD as follows:
                   ( D1(in)    0    0       0 )
       B = U(in) * (   Z1**T   a   Z2**T    b ) * VT(in)
                   (   0       0   D2(in)   0 )
         = U(out) * ( D(out) 0) * VT(out)
     where Z**T = (Z1**T a Z2**T b) = u**T VT**T, and u is a vector of dimension M
     with ALPHA and BETA in the NL+1 and NL+2 th entries and zeros
     elsewhere; and the entry b is empty if SQRE = 0.
     The singular values of B can be computed using D1, D2, the first
     components of all the right singular vectors of the lower block, and
     the last components of all the right singular vectors of the upper
     block. These components are stored and updated in VF and VL,
     respectively, in SLASD6. Hence U and VT are not explicitly
     referenced.
     The singular values are stored in D. The algorithm consists of two
     stages:
           The first stage consists of deflating the size of the problem
           when there are multiple singular values or if there is a zero
           in the Z vector. For each such occurrence the dimension of the
           secular equation problem is reduced by one. This stage is
           performed by the routine SLASD7.
           The second stage consists of calculating the updated
           singular values. This is done by finding the roots of the
           secular equation via the routine SLASD4 (as called by SLASD8).
           This routine also updates VF and VL and computes the distances
           between the updated singular values and the old singular
           values.
     SLASD6 is called from SLASDA.

Parameters:
    ICOMPQ

              ICOMPQ is INTEGER
             Specifies whether singular vectors are to be computed in
             factored form:
             = 0: Compute singular values only.
             = 1: Compute singular vectors in factored form as well.

    NL

              NL is INTEGER
             The row dimension of the upper block.  NL >= 1.

    NR

              NR is INTEGER
             The row dimension of the lower block.  NR >= 1.

    SQRE

              SQRE is INTEGER
             = 0: the lower block is an NR-by-NR square matrix.
             = 1: the lower block is an NR-by-(NR+1) rectangular matrix.
             The bidiagonal matrix has row dimension N = NL + NR + 1,
             and column dimension M = N + SQRE.

    D

              D is REAL array, dimension (NL+NR+1).
             On entry D(1:NL,1:NL) contains the singular values of the
             upper block, and D(NL+2:N) contains the singular values
             of the lower block. On exit D(1:N) contains the singular
             values of the modified matrix.

    VF

              VF is REAL array, dimension (M)
             On entry, VF(1:NL+1) contains the first components of all
             right singular vectors of the upper block; and VF(NL+2:M)
             contains the first components of all right singular vectors
             of the lower block. On exit, VF contains the first components
             of all right singular vectors of the bidiagonal matrix.

    VL

              VL is REAL array, dimension (M)
             On entry, VL(1:NL+1) contains the  last components of all
             right singular vectors of the upper block; and VL(NL+2:M)
             contains the last components of all right singular vectors of
             the lower block. On exit, VL contains the last components of
             all right singular vectors of the bidiagonal matrix.

    ALPHA

              ALPHA is REAL
             Contains the diagonal element associated with the added row.

    BETA

              BETA is REAL
             Contains the off-diagonal element associated with the added
             row.

    IDXQ

              IDXQ is INTEGER array, dimension (N)
             This contains the permutation which will reintegrate the
             subproblem just solved back into sorted order, i.e.
             D( IDXQ( I = 1, N ) ) will be in ascending order.

    PERM

              PERM is INTEGER array, dimension ( N )
             The permutations (from deflation and sorting) to be applied
             to each block. Not referenced if ICOMPQ = 0.

    GIVPTR

              GIVPTR is INTEGER
             The number of Givens rotations which took place in this
             subproblem. Not referenced if ICOMPQ = 0.

    GIVCOL

              GIVCOL is INTEGER array, dimension ( LDGCOL, 2 )
             Each pair of numbers indicates a pair of columns to take place
             in a Givens rotation. Not referenced if ICOMPQ = 0.

    LDGCOL

              LDGCOL is INTEGER
             leading dimension of GIVCOL, must be at least N.

    GIVNUM

              GIVNUM is REAL array, dimension ( LDGNUM, 2 )
             Each number indicates the C or S value to be used in the
             corresponding Givens rotation. Not referenced if ICOMPQ = 0.

    LDGNUM

              LDGNUM is INTEGER
             The leading dimension of GIVNUM and POLES, must be at least N.

    POLES

              POLES is REAL array, dimension ( LDGNUM, 2 )
             On exit, POLES(1,*) is an array containing the new singular
             values obtained from solving the secular equation, and
             POLES(2,*) is an array containing the poles in the secular
             equation. Not referenced if ICOMPQ = 0.

    DIFL

              DIFL is REAL array, dimension ( N )
             On exit, DIFL(I) is the distance between I-th updated
             (undeflated) singular value and the I-th (undeflated) old
             singular value.

    DIFR

              DIFR is REAL array,
                       dimension ( LDDIFR, 2 ) if ICOMPQ = 1 and
                       dimension ( K ) if ICOMPQ = 0.
              On exit, DIFR(I,1) = D(I) - DSIGMA(I+1), DIFR(K,1) is not
              defined and will not be referenced.
              If ICOMPQ = 1, DIFR(1:K,2) is an array containing the
              normalizing factors for the right singular vector matrix.
             See SLASD8 for details on DIFL and DIFR.

    Z

              Z is REAL array, dimension ( M )
             The first elements of this array contain the components
             of the deflation-adjusted updating row vector.

    K

              K is INTEGER
             Contains the dimension of the non-deflated matrix,
             This is the order of the related secular equation. 1 <= K <=N.

    C

              C is REAL
             C contains garbage if SQRE =0 and the C-value of a Givens
             rotation related to the right null space if SQRE = 1.

    S

              S is REAL
             S contains garbage if SQRE =0 and the S-value of a Givens
             rotation related to the right null space if SQRE = 1.

    WORK

              WORK is REAL array, dimension ( 4 * M )

    IWORK

              IWORK is INTEGER array, dimension ( 3 * N )

    INFO

              INFO is INTEGER
              = 0:  successful exit.
              < 0:  if INFO = -i, the i-th argument had an illegal value.
              > 0:  if INFO = 1, a singular value did not converge

Author:
    Univ. of Tennessee

    Univ. of California Berkeley

    Univ. of Colorado Denver

    NAG Ltd.

Date:
    June 2016

Contributors:
    Ming Gu and Huan Ren, Computer Science Division, University of California at Berkeley, USA

Definition at line 315 of file slasd6.f.

  subroutine slasd7 (integer ICOMPQ, integer NL, integer NR, integer SQRE, integer K, real, dimension( * ) D, real, dimension( * ) Z, real, dimension( * ) ZW, real, dimension( * ) VF, real, dimension( * ) VFW, real, dimension( * ) VL, real, dimension( * ) VLW, real ALPHA, real BETA, real, dimension( * ) DSIGMA, integer, dimension( * ) IDX, integer, dimension( * ) IDXP, integer, dimension( * ) IDXQ, integer, dimension( * ) PERM, integer GIVPTR, integer, dimension( ldgcol, * ) GIVCOL, integer LDGCOL, real, dimension( ldgnum, * ) GIVNUM, integer LDGNUM, real C, real S, integer INFO)

SLASD7 merges the two sets of singular values together into a single sorted set. Then it tries to deflate the size of the problem. Used by sbdsdc.

Purpose:

     SLASD7 merges the two sets of singular values together into a single
     sorted set. Then it tries to deflate the size of the problem. There
     are two ways in which deflation can occur:  when two or more singular
     values are close together or if there is a tiny entry in the Z
     vector. For each such occurrence the order of the related
     secular equation problem is reduced by one.
     SLASD7 is called from SLASD6.

Parameters:
    ICOMPQ

              ICOMPQ is INTEGER
              Specifies whether singular vectors are to be computed
              in compact form, as follows:
              = 0: Compute singular values only.
              = 1: Compute singular vectors of upper
                   bidiagonal matrix in compact form.

    NL

              NL is INTEGER
             The row dimension of the upper block. NL >= 1.

    NR

              NR is INTEGER
             The row dimension of the lower block. NR >= 1.

    SQRE

              SQRE is INTEGER
             = 0: the lower block is an NR-by-NR square matrix.
             = 1: the lower block is an NR-by-(NR+1) rectangular matrix.
             The bidiagonal matrix has
             N = NL + NR + 1 rows and
             M = N + SQRE >= N columns.

    K

              K is INTEGER
             Contains the dimension of the non-deflated matrix, this is
             the order of the related secular equation. 1 <= K <=N.

    D

              D is REAL array, dimension ( N )
             On entry D contains the singular values of the two submatrices
             to be combined. On exit D contains the trailing (N-K) updated
             singular values (those which were deflated) sorted into
             increasing order.

    Z

              Z is REAL array, dimension ( M )
             On exit Z contains the updating row vector in the secular
             equation.

    ZW

              ZW is REAL array, dimension ( M )
             Workspace for Z.

    VF

              VF is REAL array, dimension ( M )
             On entry, VF(1:NL+1) contains the first components of all
             right singular vectors of the upper block; and VF(NL+2:M)
             contains the first components of all right singular vectors
             of the lower block. On exit, VF contains the first components
             of all right singular vectors of the bidiagonal matrix.

    VFW

              VFW is REAL array, dimension ( M )
             Workspace for VF.

    VL

              VL is REAL array, dimension ( M )
             On entry, VL(1:NL+1) contains the  last components of all
             right singular vectors of the upper block; and VL(NL+2:M)
             contains the last components of all right singular vectors
             of the lower block. On exit, VL contains the last components
             of all right singular vectors of the bidiagonal matrix.

    VLW

              VLW is REAL array, dimension ( M )
             Workspace for VL.

    ALPHA

              ALPHA is REAL
             Contains the diagonal element associated with the added row.

    BETA

              BETA is REAL
             Contains the off-diagonal element associated with the added
             row.

    DSIGMA

              DSIGMA is REAL array, dimension ( N )
             Contains a copy of the diagonal elements (K-1 singular values
             and one zero) in the secular equation.

    IDX

              IDX is INTEGER array, dimension ( N )
             This will contain the permutation used to sort the contents of
             D into ascending order.

    IDXP

              IDXP is INTEGER array, dimension ( N )
             This will contain the permutation used to place deflated
             values of D at the end of the array. On output IDXP(2:K)
             points to the nondeflated D-values and IDXP(K+1:N)
             points to the deflated singular values.

    IDXQ

              IDXQ is INTEGER array, dimension ( N )
             This contains the permutation which separately sorts the two
             sub-problems in D into ascending order.  Note that entries in
             the first half of this permutation must first be moved one
             position backward; and entries in the second half
             must first have NL+1 added to their values.

    PERM

              PERM is INTEGER array, dimension ( N )
             The permutations (from deflation and sorting) to be applied
             to each singular block. Not referenced if ICOMPQ = 0.

    GIVPTR

              GIVPTR is INTEGER
             The number of Givens rotations which took place in this
             subproblem. Not referenced if ICOMPQ = 0.

    GIVCOL

              GIVCOL is INTEGER array, dimension ( LDGCOL, 2 )
             Each pair of numbers indicates a pair of columns to take place
             in a Givens rotation. Not referenced if ICOMPQ = 0.

    LDGCOL

              LDGCOL is INTEGER
             The leading dimension of GIVCOL, must be at least N.

    GIVNUM

              GIVNUM is REAL array, dimension ( LDGNUM, 2 )
             Each number indicates the C or S value to be used in the
             corresponding Givens rotation. Not referenced if ICOMPQ = 0.

    LDGNUM

              LDGNUM is INTEGER
             The leading dimension of GIVNUM, must be at least N.

    C

              C is REAL
             C contains garbage if SQRE =0 and the C-value of a Givens
             rotation related to the right null space if SQRE = 1.

    S

              S is REAL
             S contains garbage if SQRE =0 and the S-value of a Givens
             rotation related to the right null space if SQRE = 1.

    INFO

              INFO is INTEGER
             = 0:  successful exit.
             < 0:  if INFO = -i, the i-th argument had an illegal value.

Author:
    Univ. of Tennessee

    Univ. of California Berkeley

    Univ. of Colorado Denver

    NAG Ltd.

Date:
    December 2016

Contributors:
    Ming Gu and Huan Ren, Computer Science Division, University of California at Berkeley, USA

Definition at line 282 of file slasd7.f.

  subroutine slasd8 (integer ICOMPQ, integer K, real, dimension( * ) D, real, dimension( * ) Z, real, dimension( * ) VF, real, dimension( * ) VL, real, dimension( * ) DIFL, real, dimension( lddifr, * ) DIFR, integer LDDIFR, real, dimension( * ) DSIGMA, real, dimension( * ) WORK, integer INFO)

SLASD8 finds the square roots of the roots of the secular equation, and stores, for each element in D, the distance to its two nearest poles. Used by sbdsdc.

Purpose:

     SLASD8 finds the square roots of the roots of the secular equation,
     as defined by the values in DSIGMA and Z. It makes the appropriate
     calls to SLASD4, and stores, for each  element in D, the distance
     to its two nearest poles (elements in DSIGMA). It also updates
     the arrays VF and VL, the first and last components of all the
     right singular vectors of the original bidiagonal matrix.
     SLASD8 is called from SLASD6.

Parameters:
    ICOMPQ

              ICOMPQ is INTEGER
              Specifies whether singular vectors are to be computed in
              factored form in the calling routine:
              = 0: Compute singular values only.
              = 1: Compute singular vectors in factored form as well.

    K

              K is INTEGER
              The number of terms in the rational function to be solved
              by SLASD4.  K >= 1.

    D

              D is REAL array, dimension ( K )
              On output, D contains the updated singular values.

    Z

              Z is REAL array, dimension ( K )
              On entry, the first K elements of this array contain the
              components of the deflation-adjusted updating row vector.
              On exit, Z is updated.

    VF

              VF is REAL array, dimension ( K )
              On entry, VF contains  information passed through DBEDE8.
              On exit, VF contains the first K components of the first
              components of all right singular vectors of the bidiagonal
              matrix.

    VL

              VL is REAL array, dimension ( K )
              On entry, VL contains  information passed through DBEDE8.
              On exit, VL contains the first K components of the last
              components of all right singular vectors of the bidiagonal
              matrix.

    DIFL

              DIFL is REAL array, dimension ( K )
              On exit, DIFL(I) = D(I) - DSIGMA(I).

    DIFR

              DIFR is REAL array,
                       dimension ( LDDIFR, 2 ) if ICOMPQ = 1 and
                       dimension ( K ) if ICOMPQ = 0.
              On exit, DIFR(I,1) = D(I) - DSIGMA(I+1), DIFR(K,1) is not
              defined and will not be referenced.
              If ICOMPQ = 1, DIFR(1:K,2) is an array containing the
              normalizing factors for the right singular vector matrix.

    LDDIFR

              LDDIFR is INTEGER
              The leading dimension of DIFR, must be at least K.

    DSIGMA

              DSIGMA is REAL array, dimension ( K )
              On entry, the first K elements of this array contain the old
              roots of the deflated updating problem.  These are the poles
              of the secular equation.
              On exit, the elements of DSIGMA may be very slightly altered
              in value.

    WORK

              WORK is REAL array, dimension (3*K)

    INFO

              INFO is INTEGER
              = 0:  successful exit.
              < 0:  if INFO = -i, the i-th argument had an illegal value.
              > 0:  if INFO = 1, a singular value did not converge

Author:
    Univ. of Tennessee

    Univ. of California Berkeley

    Univ. of Colorado Denver

    NAG Ltd.

Date:
    June 2017

Contributors:
    Ming Gu and Huan Ren, Computer Science Division, University of California at Berkeley, USA

Definition at line 168 of file slasd8.f.

  subroutine slasda (integer ICOMPQ, integer SMLSIZ, integer N, integer SQRE, real, dimension( * ) D, real, dimension( * ) E, real, dimension( ldu, * ) U, integer LDU, real, dimension( ldu, * ) VT, integer, dimension( * ) K, real, dimension( ldu, * ) DIFL, real, dimension( ldu, * ) DIFR, real, dimension( ldu, * ) Z, real, dimension( ldu, * ) POLES, integer, dimension( * ) GIVPTR, integer, dimension( ldgcol, * ) GIVCOL, integer LDGCOL, integer, dimension( ldgcol, * ) PERM, real, dimension( ldu, * ) GIVNUM, real, dimension( * ) C, real, dimension( * ) S, real, dimension( * ) WORK, integer, dimension( * ) IWORK, integer INFO)

SLASDA computes the singular value decomposition (SVD) of a real upper bidiagonal matrix with diagonal d and off-diagonal e. Used by sbdsdc.

Purpose:

     Using a divide and conquer approach, SLASDA computes the singular
     value decomposition (SVD) of a real upper bidiagonal N-by-M matrix
     B with diagonal D and offdiagonal E, where M = N + SQRE. The
     algorithm computes the singular values in the SVD B = U * S * VT.
     The orthogonal matrices U and VT are optionally computed in
     compact form.
     A related subroutine, SLASD0, computes the singular values and
     the singular vectors in explicit form.

Parameters:
    ICOMPQ

              ICOMPQ is INTEGER
             Specifies whether singular vectors are to be computed
             in compact form, as follows
             = 0: Compute singular values only.
             = 1: Compute singular vectors of upper bidiagonal
                  matrix in compact form.

    SMLSIZ

              SMLSIZ is INTEGER
             The maximum size of the subproblems at the bottom of the
             computation tree.

    N

              N is INTEGER
             The row dimension of the upper bidiagonal matrix. This is
             also the dimension of the main diagonal array D.

    SQRE

              SQRE is INTEGER
             Specifies the column dimension of the bidiagonal matrix.
             = 0: The bidiagonal matrix has column dimension M = N;
             = 1: The bidiagonal matrix has column dimension M = N + 1.

    D

              D is REAL array, dimension ( N )
             On entry D contains the main diagonal of the bidiagonal
             matrix. On exit D, if INFO = 0, contains its singular values.

    E

              E is REAL array, dimension ( M-1 )
             Contains the subdiagonal entries of the bidiagonal matrix.
             On exit, E has been destroyed.

    U

              U is REAL array,
             dimension ( LDU, SMLSIZ ) if ICOMPQ = 1, and not referenced
             if ICOMPQ = 0. If ICOMPQ = 1, on exit, U contains the left
             singular vector matrices of all subproblems at the bottom
             level.

    LDU

              LDU is INTEGER, LDU = > N.
             The leading dimension of arrays U, VT, DIFL, DIFR, POLES,
             GIVNUM, and Z.

    VT

              VT is REAL array,
             dimension ( LDU, SMLSIZ+1 ) if ICOMPQ = 1, and not referenced
             if ICOMPQ = 0. If ICOMPQ = 1, on exit, VT**T contains the right
             singular vector matrices of all subproblems at the bottom
             level.

    K

              K is INTEGER array, dimension ( N )
             if ICOMPQ = 1 and dimension 1 if ICOMPQ = 0.
             If ICOMPQ = 1, on exit, K(I) is the dimension of the I-th
             secular equation on the computation tree.

    DIFL

              DIFL is REAL array, dimension ( LDU, NLVL ),
             where NLVL = floor(log_2 (N/SMLSIZ))).

    DIFR

              DIFR is REAL array,
                      dimension ( LDU, 2 * NLVL ) if ICOMPQ = 1 and
                      dimension ( N ) if ICOMPQ = 0.
             If ICOMPQ = 1, on exit, DIFL(1:N, I) and DIFR(1:N, 2 * I - 1)
             record distances between singular values on the I-th
             level and singular values on the (I -1)-th level, and
             DIFR(1:N, 2 * I ) contains the normalizing factors for
             the right singular vector matrix. See SLASD8 for details.

    Z

              Z is REAL array,
                      dimension ( LDU, NLVL ) if ICOMPQ = 1 and
                      dimension ( N ) if ICOMPQ = 0.
             The first K elements of Z(1, I) contain the components of
             the deflation-adjusted updating row vector for subproblems
             on the I-th level.

    POLES

              POLES is REAL array,
             dimension ( LDU, 2 * NLVL ) if ICOMPQ = 1, and not referenced
             if ICOMPQ = 0. If ICOMPQ = 1, on exit, POLES(1, 2*I - 1) and
             POLES(1, 2*I) contain  the new and old singular values
             involved in the secular equations on the I-th level.

    GIVPTR

              GIVPTR is INTEGER array,
             dimension ( N ) if ICOMPQ = 1, and not referenced if
             ICOMPQ = 0. If ICOMPQ = 1, on exit, GIVPTR( I ) records
             the number of Givens rotations performed on the I-th
             problem on the computation tree.

    GIVCOL

              GIVCOL is INTEGER array,
             dimension ( LDGCOL, 2 * NLVL ) if ICOMPQ = 1, and not
             referenced if ICOMPQ = 0. If ICOMPQ = 1, on exit, for each I,
             GIVCOL(1, 2 *I - 1) and GIVCOL(1, 2 *I) record the locations
             of Givens rotations performed on the I-th level on the
             computation tree.

    LDGCOL

              LDGCOL is INTEGER, LDGCOL = > N.
             The leading dimension of arrays GIVCOL and PERM.

    PERM

              PERM is INTEGER array, dimension ( LDGCOL, NLVL )
             if ICOMPQ = 1, and not referenced
             if ICOMPQ = 0. If ICOMPQ = 1, on exit, PERM(1, I) records
             permutations done on the I-th level of the computation tree.

    GIVNUM

              GIVNUM is REAL array,
             dimension ( LDU,  2 * NLVL ) if ICOMPQ = 1, and not
             referenced if ICOMPQ = 0. If ICOMPQ = 1, on exit, for each I,
             GIVNUM(1, 2 *I - 1) and GIVNUM(1, 2 *I) record the C- and S-
             values of Givens rotations performed on the I-th level on
             the computation tree.

    C

              C is REAL array,
             dimension ( N ) if ICOMPQ = 1, and dimension 1 if ICOMPQ = 0.
             If ICOMPQ = 1 and the I-th subproblem is not square, on exit,
             C( I ) contains the C-value of a Givens rotation related to
             the right null space of the I-th subproblem.

    S

              S is REAL array, dimension ( N ) if
             ICOMPQ = 1, and dimension 1 if ICOMPQ = 0. If ICOMPQ = 1
             and the I-th subproblem is not square, on exit, S( I )
             contains the S-value of a Givens rotation related to
             the right null space of the I-th subproblem.

    WORK

              WORK is REAL array, dimension
             (6 * N + (SMLSIZ + 1)*(SMLSIZ + 1)).

    IWORK

              IWORK is INTEGER array, dimension (7*N).

    INFO

              INFO is INTEGER
              = 0:  successful exit.
              < 0:  if INFO = -i, the i-th argument had an illegal value.
              > 0:  if INFO = 1, a singular value did not converge

Author:
    Univ. of Tennessee

    Univ. of California Berkeley

    Univ. of Colorado Denver

    NAG Ltd.

Date:
    December 2016

Contributors:
    Ming Gu and Huan Ren, Computer Science Division, University of California at Berkeley, USA

Definition at line 275 of file slasda.f.

  subroutine slasdq (character UPLO, integer SQRE, integer N, integer NCVT, integer NRU, integer NCC, real, dimension( * ) D, real, dimension( * ) E, real, dimension( ldvt, * ) VT, integer LDVT, real, dimension( ldu, * ) U, integer LDU, real, dimension( ldc, * ) C, integer LDC, real, dimension( * ) WORK, integer INFO)

SLASDQ computes the SVD of a real bidiagonal matrix with diagonal d and off-diagonal e. Used by sbdsdc.

Purpose:

     SLASDQ computes the singular value decomposition (SVD) of a real
     (upper or lower) bidiagonal matrix with diagonal D and offdiagonal
     E, accumulating the transformations if desired. Letting B denote
     the input bidiagonal matrix, the algorithm computes orthogonal
     matrices Q and P such that B = Q * S * P**T (P**T denotes the transpose
     of P). The singular values S are overwritten on D.
     The input matrix U  is changed to U  * Q  if desired.
     The input matrix VT is changed to P**T * VT if desired.
     The input matrix C  is changed to Q**T * C  if desired.
     See "Computing  Small Singular Values of Bidiagonal Matrices With
     Guaranteed High Relative Accuracy," by J. Demmel and W. Kahan,
     LAPACK Working Note #3, for a detailed description of the algorithm.

Parameters:
    UPLO

              UPLO is CHARACTER*1
            On entry, UPLO specifies whether the input bidiagonal matrix
            is upper or lower bidiagonal, and whether it is square are
            not.
               UPLO = 'U' or 'u'   B is upper bidiagonal.
               UPLO = 'L' or 'l'   B is lower bidiagonal.

    SQRE

              SQRE is INTEGER
            = 0: then the input matrix is N-by-N.
            = 1: then the input matrix is N-by-(N+1) if UPLU = 'U' and
                 (N+1)-by-N if UPLU = 'L'.
            The bidiagonal matrix has
            N = NL + NR + 1 rows and
            M = N + SQRE >= N columns.

    N

              N is INTEGER
            On entry, N specifies the number of rows and columns
            in the matrix. N must be at least 0.

    NCVT

              NCVT is INTEGER
            On entry, NCVT specifies the number of columns of
            the matrix VT. NCVT must be at least 0.

    NRU

              NRU is INTEGER
            On entry, NRU specifies the number of rows of
            the matrix U. NRU must be at least 0.

    NCC

              NCC is INTEGER
            On entry, NCC specifies the number of columns of
            the matrix C. NCC must be at least 0.

    D

              D is REAL array, dimension (N)
            On entry, D contains the diagonal entries of the
            bidiagonal matrix whose SVD is desired. On normal exit,
            D contains the singular values in ascending order.

    E

              E is REAL array.
            dimension is (N-1) if SQRE = 0 and N if SQRE = 1.
            On entry, the entries of E contain the offdiagonal entries
            of the bidiagonal matrix whose SVD is desired. On normal
            exit, E will contain 0. If the algorithm does not converge,
            D and E will contain the diagonal and superdiagonal entries
            of a bidiagonal matrix orthogonally equivalent to the one
            given as input.

    VT

              VT is REAL array, dimension (LDVT, NCVT)
            On entry, contains a matrix which on exit has been
            premultiplied by P**T, dimension N-by-NCVT if SQRE = 0
            and (N+1)-by-NCVT if SQRE = 1 (not referenced if NCVT=0).

    LDVT

              LDVT is INTEGER
            On entry, LDVT specifies the leading dimension of VT as
            declared in the calling (sub) program. LDVT must be at
            least 1. If NCVT is nonzero LDVT must also be at least N.

    U

              U is REAL array, dimension (LDU, N)
            On entry, contains a  matrix which on exit has been
            postmultiplied by Q, dimension NRU-by-N if SQRE = 0
            and NRU-by-(N+1) if SQRE = 1 (not referenced if NRU=0).

    LDU

              LDU is INTEGER
            On entry, LDU  specifies the leading dimension of U as
            declared in the calling (sub) program. LDU must be at
            least max( 1, NRU ) .

    C

              C is REAL array, dimension (LDC, NCC)
            On entry, contains an N-by-NCC matrix which on exit
            has been premultiplied by Q**T  dimension N-by-NCC if SQRE = 0
            and (N+1)-by-NCC if SQRE = 1 (not referenced if NCC=0).

    LDC

              LDC is INTEGER
            On entry, LDC  specifies the leading dimension of C as
            declared in the calling (sub) program. LDC must be at
            least 1. If NCC is nonzero, LDC must also be at least N.

    WORK

              WORK is REAL array, dimension (4*N)
            Workspace. Only referenced if one of NCVT, NRU, or NCC is
            nonzero, and if N is at least 2.

    INFO

              INFO is INTEGER
            On exit, a value of 0 indicates a successful exit.
            If INFO < 0, argument number -INFO is illegal.
            If INFO > 0, the algorithm did not converge, and INFO
            specifies how many superdiagonals did not converge.

Author:
    Univ. of Tennessee

    Univ. of California Berkeley

    Univ. of Colorado Denver

    NAG Ltd.

Date:
    June 2016

Contributors:
    Ming Gu and Huan Ren, Computer Science Division, University of California at Berkeley, USA

Definition at line 213 of file slasdq.f.

  subroutine slasdt (integer N, integer LVL, integer ND, integer, dimension( * ) INODE, integer, dimension( * ) NDIML, integer, dimension( * ) NDIMR, integer MSUB)

SLASDT creates a tree of subproblems for bidiagonal divide and conquer. Used by sbdsdc.

Purpose:

     SLASDT creates a tree of subproblems for bidiagonal divide and
     conquer.

Parameters:
    N

              N is INTEGER
              On entry, the number of diagonal elements of the
              bidiagonal matrix.

    LVL

              LVL is INTEGER
              On exit, the number of levels on the computation tree.

    ND

              ND is INTEGER
              On exit, the number of nodes on the tree.

    INODE

              INODE is INTEGER array, dimension ( N )
              On exit, centers of subproblems.

    NDIML

              NDIML is INTEGER array, dimension ( N )
              On exit, row dimensions of left children.

    NDIMR

              NDIMR is INTEGER array, dimension ( N )
              On exit, row dimensions of right children.

    MSUB

              MSUB is INTEGER
              On entry, the maximum row dimension each subproblem at the
              bottom of the tree can be of.

Author:
    Univ. of Tennessee

    Univ. of California Berkeley

    Univ. of Colorado Denver

    NAG Ltd.

Date:
    December 2016

Contributors:
    Ming Gu and Huan Ren, Computer Science Division, University of California at Berkeley, USA

Definition at line 107 of file slasdt.f.

  subroutine slaset (character UPLO, integer M, integer N, real ALPHA, real BETA, real, dimension( lda, * ) A, integer LDA)

SLASET initializes the off-diagonal elements and the diagonal elements of a matrix to given values.

Purpose:

     SLASET initializes an m-by-n matrix A to BETA on the diagonal and
     ALPHA on the offdiagonals.

Parameters:
    UPLO

              UPLO is CHARACTER*1
              Specifies the part of the matrix A to be set.
              = 'U':      Upper triangular part is set; the strictly lower
                          triangular part of A is not changed.
              = 'L':      Lower triangular part is set; the strictly upper
                          triangular part of A is not changed.
              Otherwise:  All of the matrix A is set.

    M

              M is INTEGER
              The number of rows of the matrix A.  M >= 0.

    N

              N is INTEGER
              The number of columns of the matrix A.  N >= 0.

    ALPHA

              ALPHA is REAL
              The constant to which the offdiagonal elements are to be set.

    BETA

              BETA is REAL
              The constant to which the diagonal elements are to be set.

    A

              A is REAL array, dimension (LDA,N)
              On exit, the leading m-by-n submatrix of A is set as follows:
              if UPLO = 'U', A(i,j) = ALPHA, 1<=i<=j-1, 1<=j<=n,
              if UPLO = 'L', A(i,j) = ALPHA, j+1<=i<=m, 1<=j<=n,
              otherwise,     A(i,j) = ALPHA, 1<=i<=m, 1<=j<=n, i.ne.j,
              and, for all UPLO, A(i,i) = BETA, 1<=i<=min(m,n).

    LDA

              LDA is INTEGER
              The leading dimension of the array A.  LDA >= max(1,M).

Author:
    Univ. of Tennessee

    Univ. of California Berkeley

    Univ. of Colorado Denver

    NAG Ltd.

Date:
    December 2016

Definition at line 112 of file slaset.f.

  subroutine slasr (character SIDE, character PIVOT, character DIRECT, integer M, integer N, real, dimension( * ) C, real, dimension( * ) S, real, dimension( lda, * ) A, integer LDA)

SLASR applies a sequence of plane rotations to a general rectangular matrix.

Purpose:

     SLASR applies a sequence of plane rotations to a real matrix A,
     from either the left or the right.
     When SIDE = 'L', the transformation takes the form
        A := P*A
     and when SIDE = 'R', the transformation takes the form
        A := A*P**T
     where P is an orthogonal matrix consisting of a sequence of z plane
     rotations, with z = M when SIDE = 'L' and z = N when SIDE = 'R',
     and P**T is the transpose of P.
     When DIRECT = 'F' (Forward sequence), then
        P = P(z-1) * ... * P(2) * P(1)
     and when DIRECT = 'B' (Backward sequence), then
        P = P(1) * P(2) * ... * P(z-1)
     where P(k) is a plane rotation matrix defined by the 2-by-2 rotation
        R(k) = (  c(k)  s(k) )
             = ( -s(k)  c(k) ).
     When PIVOT = 'V' (Variable pivot), the rotation is performed
     for the plane (k,k+1), i.e., P(k) has the form
        P(k) = (  1                                            )
               (       ...                                     )
               (              1                                )
               (                   c(k)  s(k)                  )
               (                  -s(k)  c(k)                  )
               (                                1              )
               (                                     ...       )
               (                                            1  )
     where R(k) appears as a rank-2 modification to the identity matrix in
     rows and columns k and k+1.
     When PIVOT = 'T' (Top pivot), the rotation is performed for the
     plane (1,k+1), so P(k) has the form
        P(k) = (  c(k)                    s(k)                 )
               (         1                                     )
               (              ...                              )
               (                     1                         )
               ( -s(k)                    c(k)                 )
               (                                 1             )
               (                                      ...      )
               (                                             1 )
     where R(k) appears in rows and columns 1 and k+1.
     Similarly, when PIVOT = 'B' (Bottom pivot), the rotation is
     performed for the plane (k,z), giving P(k) the form
        P(k) = ( 1                                             )
               (      ...                                      )
               (             1                                 )
               (                  c(k)                    s(k) )
               (                         1                     )
               (                              ...              )
               (                                     1         )
               (                 -s(k)                    c(k) )
     where R(k) appears in rows and columns k and z.  The rotations are
     performed without ever forming P(k) explicitly.

Parameters:
    SIDE

              SIDE is CHARACTER*1
              Specifies whether the plane rotation matrix P is applied to
              A on the left or the right.
              = 'L':  Left, compute A := P*A
              = 'R':  Right, compute A:= A*P**T

    PIVOT

              PIVOT is CHARACTER*1
              Specifies the plane for which P(k) is a plane rotation
              matrix.
              = 'V':  Variable pivot, the plane (k,k+1)
              = 'T':  Top pivot, the plane (1,k+1)
              = 'B':  Bottom pivot, the plane (k,z)

    DIRECT

              DIRECT is CHARACTER*1
              Specifies whether P is a forward or backward sequence of
              plane rotations.
              = 'F':  Forward, P = P(z-1)*...*P(2)*P(1)
              = 'B':  Backward, P = P(1)*P(2)*...*P(z-1)

    M

              M is INTEGER
              The number of rows of the matrix A.  If m <= 1, an immediate
              return is effected.

    N

              N is INTEGER
              The number of columns of the matrix A.  If n <= 1, an
              immediate return is effected.

    C

              C is REAL array, dimension
                      (M-1) if SIDE = 'L'
                      (N-1) if SIDE = 'R'
              The cosines c(k) of the plane rotations.

    S

              S is REAL array, dimension
                      (M-1) if SIDE = 'L'
                      (N-1) if SIDE = 'R'
              The sines s(k) of the plane rotations.  The 2-by-2 plane
              rotation part of the matrix P(k), R(k), has the form
              R(k) = (  c(k)  s(k) )
                     ( -s(k)  c(k) ).

    A

              A is REAL array, dimension (LDA,N)
              The M-by-N matrix A.  On exit, A is overwritten by P*A if
              SIDE = 'R' or by A*P**T if SIDE = 'L'.

    LDA

              LDA is INTEGER
              The leading dimension of the array A.  LDA >= max(1,M).

Author:
    Univ. of Tennessee

    Univ. of California Berkeley

    Univ. of Colorado Denver

    NAG Ltd.

Date:
    December 2016

Definition at line 201 of file slasr.f.

  subroutine slassq (integer N, real, dimension( * ) X, integer INCX, real SCALE, real SUMSQ)

SLASSQ updates a sum of squares represented in scaled form.

Purpose:

     SLASSQ  returns the values  scl  and  smsq  such that
        ( scl**2 )*smsq = x( 1 )**2 +...+ x( n )**2 + ( scale**2 )*sumsq,
     where  x( i ) = X( 1 + ( i - 1 )*INCX ). The value of  sumsq  is
     assumed to be non-negative and  scl  returns the value
        scl = max( scale, abs( x( i ) ) ).
     scale and sumsq must be supplied in SCALE and SUMSQ and
     scl and smsq are overwritten on SCALE and SUMSQ respectively.
     The routine makes only one pass through the vector x.

Parameters:
    N

              N is INTEGER
              The number of elements to be used from the vector X.

    X

              X is REAL array, dimension (N)
              The vector for which a scaled sum of squares is computed.
                 x( i )  = X( 1 + ( i - 1 )*INCX ), 1 <= i <= n.

    INCX

              INCX is INTEGER
              The increment between successive values of the vector X.
              INCX > 0.

    SCALE

              SCALE is REAL
              On entry, the value  scale  in the equation above.
              On exit, SCALE is overwritten with  scl , the scaling factor
              for the sum of squares.

    SUMSQ

              SUMSQ is REAL
              On entry, the value  sumsq  in the equation above.
              On exit, SUMSQ is overwritten with  smsq , the basic sum of
              squares from which  scl  has been factored out.

Author:
    Univ. of Tennessee

    Univ. of California Berkeley

    Univ. of Colorado Denver

    NAG Ltd.

Date:
    December 2016

Definition at line 105 of file slassq.f.

  subroutine slasv2 (real F, real G, real H, real SSMIN, real SSMAX, real SNR, real CSR, real SNL, real CSL)

SLASV2 computes the singular value decomposition of a 2-by-2 triangular matrix.

Purpose:

     SLASV2 computes the singular value decomposition of a 2-by-2
     triangular matrix
        [  F   G  ]
        [  0   H  ].
     On return, abs(SSMAX) is the larger singular value, abs(SSMIN) is the
     smaller singular value, and (CSL,SNL) and (CSR,SNR) are the left and
     right singular vectors for abs(SSMAX), giving the decomposition
        [ CSL  SNL ] [  F   G  ] [ CSR -SNR ]  =  [ SSMAX   0   ]
        [-SNL  CSL ] [  0   H  ] [ SNR  CSR ]     [  0    SSMIN ].

Parameters:
    F

              F is REAL
              The (1,1) element of the 2-by-2 matrix.

    G

              G is REAL
              The (1,2) element of the 2-by-2 matrix.

    H

              H is REAL
              The (2,2) element of the 2-by-2 matrix.

    SSMIN

              SSMIN is REAL
              abs(SSMIN) is the smaller singular value.

    SSMAX

              SSMAX is REAL
              abs(SSMAX) is the larger singular value.

    SNL

              SNL is REAL

    CSL

              CSL is REAL
              The vector (CSL, SNL) is a unit left singular vector for the
              singular value abs(SSMAX).

    SNR

              SNR is REAL

    CSR

              CSR is REAL
              The vector (CSR, SNR) is a unit right singular vector for the
              singular value abs(SSMAX).

Author:
    Univ. of Tennessee

    Univ. of California Berkeley

    Univ. of Colorado Denver

    NAG Ltd.

Date:
    December 2016

Further Details:

      Any input parameter may be aliased with any output parameter.
      Barring over/underflow and assuming a guard digit in subtraction, all
      output quantities are correct to within a few units in the last
      place (ulps).
      In IEEE arithmetic, the code works correctly if one matrix element is
      infinite.
      Overflow will not occur unless the largest singular value itself
      overflows or is within a few ulps of overflow. (On machines with
      partial overflow, like the Cray, overflow may occur if the largest
      singular value is within a factor of 2 of overflow.)
      Underflow is harmless if underflow is gradual. Otherwise, results
      may correspond to a matrix modified by perturbations of size near
      the underflow threshold.

Definition at line 140 of file slasv2.f.

  subroutine xerbla (character*(*) SRNAME, integer INFO)

XERBLA

Purpose:

     XERBLA  is an error handler for the LAPACK routines.
     It is called by an LAPACK routine if an input parameter has an
     invalid value.  A message is printed and execution stops.
     Installers may consider modifying the STOP statement in order to
     call system-specific exception-handling facilities.

Parameters:
    SRNAME

              SRNAME is CHARACTER*(*)
              The name of the routine which called XERBLA.

    INFO

              INFO is INTEGER
              The position of the invalid parameter in the parameter list
              of the calling routine.

Author:
    Univ. of Tennessee

    Univ. of California Berkeley

    Univ. of Colorado Denver

    NAG Ltd.

Date:
    December 2016

Definition at line 72 of file SRC/xerbla.f.

  subroutine xerbla_array (character(1), dimension(srname_len) SRNAME_ARRAY, integer SRNAME_LEN, integer INFO)

XERBLA_ARRAY

Purpose:

     XERBLA_ARRAY assists other languages in calling XERBLA, the LAPACK
     and BLAS error handler.  Rather than taking a Fortran string argument
     as the function's name, XERBLA_ARRAY takes an array of single
     characters along with the array's length.  XERBLA_ARRAY then copies
     up to 32 characters of that array into a Fortran string and passes
     that to XERBLA.  If called with a non-positive SRNAME_LEN,
     XERBLA_ARRAY will call XERBLA with a string of all blank characters.
     Say some macro or other device makes XERBLA_ARRAY available to C99
     by a name lapack_xerbla and with a common Fortran calling convention.
     Then a C99 program could invoke XERBLA via:
        {
          int flen = strlen(__func__);
          lapack_xerbla(__func__, &flen, &info);
        }
     Providing XERBLA_ARRAY is not necessary for intercepting LAPACK
     errors.  XERBLA_ARRAY calls XERBLA.

Parameters:
    SRNAME_ARRAY

              SRNAME_ARRAY is CHARACTER(1) array, dimension (SRNAME_LEN)
              The name of the routine which called XERBLA_ARRAY.

    SRNAME_LEN

              SRNAME_LEN is INTEGER
              The length of the name in SRNAME_ARRAY.

    INFO

              INFO is INTEGER
              The position of the invalid parameter in the parameter list
              of the calling routine.

Author:
    Univ. of Tennessee

    Univ. of California Berkeley

    Univ. of Colorado Denver

    NAG Ltd.

Date:
    December 2016

Definition at line 92 of file SRC/xerbla_array.f.

Author

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