doubleOTHERauxiliary(3)

NAME
doubleOTHERauxiliary

SYNOPSIS

  Functions
subroutine dlabrd (M, N, NB, A, LDA, D, E, TAUQ, TAUP, X, LDX, Y, LDY)
DLABRD reduces the first nb rows and columns of a general matrix to a bidiagonal form.
subroutine dlacn2 (N, V, X, ISGN, EST, KASE, ISAVE)
DLACN2 estimates the 1-norm of a square matrix, using reverse communication for evaluating matrix-vector products.
subroutine dlacon (N, V, X, ISGN, EST, KASE)
DLACON estimates the 1-norm of a square matrix, using reverse communication for evaluating matrix-vector products.
subroutine dladiv (A, B, C, D, P, Q)
DLADIV performs complex division in real arithmetic, avoiding unnecessary overflow.
subroutine dladiv1 (A, B, C, D, P, Q)
double precision function dladiv2 (A, B, C, D, R, T)
subroutine dlaein (RIGHTV, NOINIT, N, H, LDH, WR, WI, VR, VI, B, LDB, WORK, EPS3, SMLNUM, BIGNUM, INFO)
DLAEIN computes a specified right or left eigenvector of an upper Hessenberg matrix by inverse iteration.
subroutine dlaexc (WANTQ, N, T, LDT, Q, LDQ, J1, N1, N2, WORK, INFO)
DLAEXC swaps adjacent diagonal blocks of a real upper quasi-triangular matrix in Schur canonical form, by an orthogonal similarity transformation.
subroutine dlag2 (A, LDA, B, LDB, SAFMIN, SCALE1, SCALE2, WR1, WR2, WI)
DLAG2 computes the eigenvalues of a 2-by-2 generalized eigenvalue problem, with scaling as necessary to avoid over-/underflow.
subroutine dlag2s (M, N, A, LDA, SA, LDSA, INFO)
DLAG2S converts a double precision matrix to a single precision matrix.
subroutine dlags2 (UPPER, A1, A2, A3, B1, B2, B3, CSU, SNU, CSV, SNV, CSQ, SNQ)
DLAGS2 computes 2-by-2 orthogonal matrices U, V, and Q, and applies them to matrices A and B such that the rows of the transformed A and B are parallel.
subroutine dlagtm (TRANS, N, NRHS, ALPHA, DL, D, DU, X, LDX, BETA, B, LDB)
DLAGTM performs a matrix-matrix product of the form C = αAB+βC, where A is a tridiagonal matrix, B and C are rectangular matrices, and α and β are scalars, which may be 0, 1, or -1.
subroutine dlagv2 (A, LDA, B, LDB, ALPHAR, ALPHAI, BETA, CSL, SNL, CSR, SNR)
DLAGV2 computes the Generalized Schur factorization of a real 2-by-2 matrix pencil (A,B) where B is upper triangular.
subroutine dlahqr (WANTT, WANTZ, N, ILO, IHI, H, LDH, WR, WI, ILOZ, IHIZ, Z, LDZ, INFO)
DLAHQR computes the eigenvalues and Schur factorization of an upper Hessenberg matrix, using the double-shift/single-shift QR algorithm.
subroutine dlahr2 (N, K, NB, A, LDA, TAU, T, LDT, Y, LDY)
DLAHR2 reduces the specified number of first columns of a general rectangular matrix A so that elements below the specified subdiagonal are zero, and returns auxiliary matrices which are needed to apply the transformation to the unreduced part of A.
subroutine dlaic1 (JOB, J, X, SEST, W, GAMMA, SESTPR, S, C)
DLAIC1 applies one step of incremental condition estimation.
subroutine dlaln2 (LTRANS, NA, NW, SMIN, CA, A, LDA, D1, D2, B, LDB, WR, WI, X, LDX, SCALE, XNORM, INFO)
DLALN2 solves a 1-by-1 or 2-by-2 linear system of equations of the specified form.
double precision function dlangt (NORM, N, DL, D, DU)
DLANGT returns the value of the 1-norm, Frobenius norm, infinity-norm, or the largest absolute value of any element of a general tridiagonal matrix.
double precision function dlanhs (NORM, N, A, LDA, WORK)
DLANHS returns the value of the 1-norm, Frobenius norm, infinity-norm, or the largest absolute value of any element of an upper Hessenberg matrix.
double precision function dlansb (NORM, UPLO, N, K, AB, LDAB, WORK)
DLANSB returns the value of the 1-norm, or the Frobenius norm, or the infinity norm, or the element of largest absolute value of a symmetric band matrix.
double precision function dlansp (NORM, UPLO, N, AP, WORK)
DLANSP returns the value of the 1-norm, or the Frobenius norm, or the infinity norm, or the element of largest absolute value of a symmetric matrix supplied in packed form.
double precision function dlantb (NORM, UPLO, DIAG, N, K, AB, LDAB, WORK)
DLANTB returns the value of the 1-norm, or the Frobenius norm, or the infinity norm, or the element of largest absolute value of a triangular band matrix.
double precision function dlantp (NORM, UPLO, DIAG, N, AP, WORK)
DLANTP returns the value of the 1-norm, or the Frobenius norm, or the infinity norm, or the element of largest absolute value of a triangular matrix supplied in packed form.
double precision function dlantr (NORM, UPLO, DIAG, M, N, A, LDA, WORK)
DLANTR returns the value of the 1-norm, or the Frobenius norm, or the infinity norm, or the element of largest absolute value of a trapezoidal or triangular matrix.
subroutine dlanv2 (A, B, C, D, RT1R, RT1I, RT2R, RT2I, CS, SN)
DLANV2 computes the Schur factorization of a real 2-by-2 nonsymmetric matrix in standard form.
subroutine dlapll (N, X, INCX, Y, INCY, SSMIN)
DLAPLL measures the linear dependence of two vectors.
subroutine dlapmr (FORWRD, M, N, X, LDX, K)
DLAPMR rearranges rows of a matrix as specified by a permutation vector.
subroutine dlapmt (FORWRD, M, N, X, LDX, K)
DLAPMT performs a forward or backward permutation of the columns of a matrix.
subroutine dlaqp2 (M, N, OFFSET, A, LDA, JPVT, TAU, VN1, VN2, WORK)
DLAQP2 computes a QR factorization with column pivoting of the matrix block.
subroutine dlaqps (M, N, OFFSET, NB, KB, A, LDA, JPVT, TAU, VN1, VN2, AUXV, F, LDF)
DLAQPS computes a step of QR factorization with column pivoting of a real m-by-n matrix A by using BLAS level 3.
subroutine dlaqr0 (WANTT, WANTZ, N, ILO, IHI, H, LDH, WR, WI, ILOZ, IHIZ, Z, LDZ, WORK, LWORK, INFO)
DLAQR0 computes the eigenvalues of a Hessenberg matrix, and optionally the matrices from the Schur decomposition.
subroutine dlaqr1 (N, H, LDH, SR1, SI1, SR2, SI2, V)
DLAQR1 sets a scalar multiple of the first column of the product of 2-by-2 or 3-by-3 matrix H and specified shifts.
subroutine dlaqr2 (WANTT, WANTZ, N, KTOP, KBOT, NW, H, LDH, ILOZ, IHIZ, Z, LDZ, NS, ND, SR, SI, V, LDV, NH, T, LDT, NV, WV, LDWV, WORK, LWORK)
DLAQR2 performs the orthogonal similarity transformation of a Hessenberg matrix to detect and deflate fully converged eigenvalues from a trailing principal submatrix (aggressive early deflation).
subroutine dlaqr3 (WANTT, WANTZ, N, KTOP, KBOT, NW, H, LDH, ILOZ, IHIZ, Z, LDZ, NS, ND, SR, SI, V, LDV, NH, T, LDT, NV, WV, LDWV, WORK, LWORK)
DLAQR3 performs the orthogonal similarity transformation of a Hessenberg matrix to detect and deflate fully converged eigenvalues from a trailing principal submatrix (aggressive early deflation).
subroutine dlaqr4 (WANTT, WANTZ, N, ILO, IHI, H, LDH, WR, WI, ILOZ, IHIZ, Z, LDZ, WORK, LWORK, INFO)
DLAQR4 computes the eigenvalues of a Hessenberg matrix, and optionally the matrices from the Schur decomposition.
subroutine dlaqr5 (WANTT, WANTZ, KACC22, N, KTOP, KBOT, NSHFTS, SR, SI, H, LDH, ILOZ, IHIZ, Z, LDZ, V, LDV, U, LDU, NV, WV, LDWV, NH, WH, LDWH)
DLAQR5 performs a single small-bulge multi-shift QR sweep.
subroutine dlaqsb (UPLO, N, KD, AB, LDAB, S, SCOND, AMAX, EQUED)
DLAQSB scales a symmetric/Hermitian band matrix, using scaling factors computed by spbequ.
subroutine dlaqsp (UPLO, N, AP, S, SCOND, AMAX, EQUED)
DLAQSP scales a symmetric/Hermitian matrix in packed storage, using scaling factors computed by sppequ.
subroutine dlaqtr (LTRAN, LREAL, N, T, LDT, B, W, SCALE, X, WORK, INFO)
DLAQTR solves a real quasi-triangular system of equations, or a complex quasi-triangular system of special form, in real arithmetic.
subroutine dlar1v (N, B1, BN, LAMBDA, D, L, LD, LLD, PIVMIN, GAPTOL, Z, WANTNC, NEGCNT, ZTZ, MINGMA, R, ISUPPZ, NRMINV, RESID, RQCORR, WORK)
DLAR1V computes the (scaled) r-th column of the inverse of the submatrix in rows b1 through bn of the tridiagonal matrix LDLT - λI.
subroutine dlar2v (N, X, Y, Z, INCX, C, S, INCC)
DLAR2V applies a vector of plane rotations with real cosines and real sines from both sides to a sequence of 2-by-2 symmetric/Hermitian matrices.
subroutine dlarf (SIDE, M, N, V, INCV, TAU, C, LDC, WORK)
DLARF applies an elementary reflector to a general rectangular matrix.
subroutine dlarfb (SIDE, TRANS, DIRECT, STOREV, M, N, K, V, LDV, T, LDT, C, LDC, WORK, LDWORK)
DLARFB applies a block reflector or its transpose to a general rectangular matrix.
subroutine dlarfg (N, ALPHA, X, INCX, TAU)
DLARFG generates an elementary reflector (Householder matrix).
subroutine dlarfgp (N, ALPHA, X, INCX, TAU)
DLARFGP generates an elementary reflector (Householder matrix) with non-negative beta.
subroutine dlarft (DIRECT, STOREV, N, K, V, LDV, TAU, T, LDT)
DLARFT forms the triangular factor T of a block reflector H = I - vtvH
subroutine dlarfx (SIDE, M, N, V, TAU, C, LDC, WORK)
DLARFX applies an elementary reflector to a general rectangular matrix, with loop unrolling when the reflector has order ≤ 10.
subroutine dlargv (N, X, INCX, Y, INCY, C, INCC)
DLARGV generates a vector of plane rotations with real cosines and real sines.
subroutine dlarrv (N, VL, VU, D, L, PIVMIN, ISPLIT, M, DOL, DOU, MINRGP, RTOL1, RTOL2, W, WERR, WGAP, IBLOCK, INDEXW, GERS, Z, LDZ, ISUPPZ, WORK, IWORK, INFO)
DLARRV computes the eigenvectors of the tridiagonal matrix T = L D LT given L, D and the eigenvalues of L D LT.
subroutine dlartv (N, X, INCX, Y, INCY, C, S, INCC)
DLARTV applies a vector of plane rotations with real cosines and real sines to the elements of a pair of vectors.
subroutine dlaswp (N, A, LDA, K1, K2, IPIV, INCX)
DLASWP performs a series of row interchanges on a general rectangular matrix.
subroutine dlat2s (UPLO, N, A, LDA, SA, LDSA, INFO)
DLAT2S converts a double-precision triangular matrix to a single-precision triangular matrix.
subroutine dlatbs (UPLO, TRANS, DIAG, NORMIN, N, KD, AB, LDAB, X, SCALE, CNORM, INFO)
DLATBS solves a triangular banded system of equations.
subroutine dlatdf (IJOB, N, Z, LDZ, RHS, RDSUM, RDSCAL, IPIV, JPIV)
DLATDF uses the LU factorization of the n-by-n matrix computed by sgetc2 and computes a contribution to the reciprocal Dif-estimate.
subroutine dlatps (UPLO, TRANS, DIAG, NORMIN, N, AP, X, SCALE, CNORM, INFO)
DLATPS solves a triangular system of equations with the matrix held in packed storage.
subroutine dlatrd (UPLO, N, NB, A, LDA, E, TAU, W, LDW)
DLATRD reduces the first nb rows and columns of a symmetric/Hermitian matrix A to real tridiagonal form by an orthogonal similarity transformation.
subroutine dlatrs (UPLO, TRANS, DIAG, NORMIN, N, A, LDA, X, SCALE, CNORM, INFO)
DLATRS solves a triangular system of equations with the scale factor set to prevent overflow.
subroutine dlauu2 (UPLO, N, A, LDA, INFO)
DLAUU2 computes the product UUH or LHL, where U and L are upper or lower triangular matrices (unblocked algorithm).
subroutine dlauum (UPLO, N, A, LDA, INFO)
DLAUUM computes the product UUH or LHL, where U and L are upper or lower triangular matrices (blocked algorithm).
subroutine drscl (N, SA, SX, INCX)
DRSCL multiplies a vector by the reciprocal of a real scalar.
subroutine dtprfb (SIDE, TRANS, DIRECT, STOREV, M, N, K, L, V, LDV, T, LDT, A, LDA, B, LDB, WORK, LDWORK)
DTPRFB applies a real or complex 'triangular-pentagonal' blocked reflector to a real or complex matrix, which is composed of two blocks.
subroutine slatrd (UPLO, N, NB, A, LDA, E, TAU, W, LDW)
SLATRD reduces the first nb rows and columns of a symmetric/Hermitian matrix A to real tridiagonal form by an orthogonal similarity transformation.

Detailed Description

This is the group of double other auxiliary routines

Function Documentation

  subroutine dlabrd (integer M, integer N, integer NB, double precision, dimension( lda, * ) A, integer LDA, double precision, dimension( * ) D, double precision, dimension( * ) E, double precision, dimension( * ) TAUQ, double precision, dimension( * ) TAUP, double precision, dimension( ldx, * ) X, integer LDX, double precision, dimension( ldy, * ) Y, integer LDY)

DLABRD reduces the first nb rows and columns of a general matrix to a bidiagonal form.

Purpose:

     DLABRD reduces the first NB rows and columns of a real general
     m by n matrix A to upper or lower bidiagonal form by an orthogonal
     transformation Q**T * A * P, and returns the matrices X and Y which
     are needed to apply the transformation to the unreduced part of A.
     If m >= n, A is reduced to upper bidiagonal form; if m < n, to lower
     bidiagonal form.
     This is an auxiliary routine called by DGEBRD

Parameters:
    M

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

    N

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

    NB

              NB is INTEGER
              The number of leading rows and columns of A to be reduced.

    A

              A is DOUBLE PRECISION array, dimension (LDA,N)
              On entry, the m by n general matrix to be reduced.
              On exit, the first NB rows and columns of the matrix are
              overwritten; the rest of the array is unchanged.
              If m >= n, elements on and below the diagonal in the first NB
                columns, with the array TAUQ, represent the orthogonal
                matrix Q as a product of elementary reflectors; and
                elements above the diagonal in the first NB rows, with the
                array TAUP, represent the orthogonal matrix P as a product
                of elementary reflectors.
              If m < n, elements below the diagonal in the first NB
                columns, with the array TAUQ, represent the orthogonal
                matrix Q as a product of elementary reflectors, and
                elements on and above the diagonal in the first NB rows,
                with the array TAUP, represent the orthogonal matrix P as
                a product of elementary reflectors.
              See Further Details.

    LDA

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

    D

              D is DOUBLE PRECISION array, dimension (NB)
              The diagonal elements of the first NB rows and columns of
              the reduced matrix.  D(i) = A(i,i).

    E

              E is DOUBLE PRECISION array, dimension (NB)
              The off-diagonal elements of the first NB rows and columns of
              the reduced matrix.

    TAUQ

              TAUQ is DOUBLE PRECISION array, dimension (NB)
              The scalar factors of the elementary reflectors which
              represent the orthogonal matrix Q. See Further Details.

    TAUP

              TAUP is DOUBLE PRECISION array, dimension (NB)
              The scalar factors of the elementary reflectors which
              represent the orthogonal matrix P. See Further Details.

    X

              X is DOUBLE PRECISION array, dimension (LDX,NB)
              The m-by-nb matrix X required to update the unreduced part
              of A.

    LDX

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

    Y

              Y is DOUBLE PRECISION array, dimension (LDY,NB)
              The n-by-nb matrix Y required to update the unreduced part
              of A.

    LDY

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

Author:
    Univ. of Tennessee

    Univ. of California Berkeley

    Univ. of Colorado Denver

    NAG Ltd.

Date:
    June 2017

Further Details:

      The matrices Q and P are represented as products of elementary
      reflectors:
         Q = H(1) H(2) . . . H(nb)  and  P = G(1) G(2) . . . G(nb)
      Each H(i) and G(i) has the form:
         H(i) = I - tauq * v * v**T  and G(i) = I - taup * u * u**T
      where tauq and taup are real scalars, and v and u are real vectors.
      If m >= n, v(1:i-1) = 0, v(i) = 1, and v(i:m) is stored on exit in
      A(i:m,i); u(1:i) = 0, u(i+1) = 1, and u(i+1:n) is stored on exit in
      A(i,i+1:n); tauq is stored in TAUQ(i) and taup in TAUP(i).
      If m < n, v(1:i) = 0, v(i+1) = 1, and v(i+1:m) is stored on exit in
      A(i+2:m,i); u(1:i-1) = 0, u(i) = 1, and u(i:n) is stored on exit in
      A(i,i+1:n); tauq is stored in TAUQ(i) and taup in TAUP(i).
      The elements of the vectors v and u together form the m-by-nb matrix
      V and the nb-by-n matrix U**T which are needed, with X and Y, to apply
      the transformation to the unreduced part of the matrix, using a block
      update of the form:  A := A - V*Y**T - X*U**T.
      The contents of A on exit are illustrated by the following examples
      with nb = 2:
      m = 6 and n = 5 (m > n):          m = 5 and n = 6 (m < n):
        (  1   1   u1  u1  u1 )           (  1   u1  u1  u1  u1  u1 )
        (  v1  1   1   u2  u2 )           (  1   1   u2  u2  u2  u2 )
        (  v1  v2  a   a   a  )           (  v1  1   a   a   a   a  )
        (  v1  v2  a   a   a  )           (  v1  v2  a   a   a   a  )
        (  v1  v2  a   a   a  )           (  v1  v2  a   a   a   a  )
        (  v1  v2  a   a   a  )
      where a denotes an element of the original matrix which is unchanged,
      vi denotes an element of the vector defining H(i), and ui an element
      of the vector defining G(i).

Definition at line 212 of file dlabrd.f.

  subroutine dlacn2 (integer N, double precision, dimension( * ) V, double precision, dimension( * ) X, integer, dimension( * ) ISGN, double precision EST, integer KASE, integer, dimension( 3 ) ISAVE)

DLACN2 estimates the 1-norm of a square matrix, using reverse communication for evaluating matrix-vector products.

Purpose:

     DLACN2 estimates the 1-norm of a square, real matrix A.
     Reverse communication is used for evaluating matrix-vector products.

Parameters:
    N

              N is INTEGER
             The order of the matrix.  N >= 1.

    V

              V is DOUBLE PRECISION array, dimension (N)
             On the final return, V = A*W,  where  EST = norm(V)/norm(W)
             (W is not returned).

    X

              X is DOUBLE PRECISION array, dimension (N)
             On an intermediate return, X should be overwritten by
                   A * X,   if KASE=1,
                   A**T * X,  if KASE=2,
             and DLACN2 must be re-called with all the other parameters
             unchanged.

    ISGN

              ISGN is INTEGER array, dimension (N)

    EST

              EST is DOUBLE PRECISION
             On entry with KASE = 1 or 2 and ISAVE(1) = 3, EST should be
             unchanged from the previous call to DLACN2.
             On exit, EST is an estimate (a lower bound) for norm(A).

    KASE

              KASE is INTEGER
             On the initial call to DLACN2, KASE should be 0.
             On an intermediate return, KASE will be 1 or 2, indicating
             whether X should be overwritten by A * X  or A**T * X.
             On the final return from DLACN2, KASE will again be 0.

    ISAVE

              ISAVE is INTEGER array, dimension (3)
             ISAVE is used to save variables between calls to DLACN2

Author:
    Univ. of Tennessee

    Univ. of California Berkeley

    Univ. of Colorado Denver

    NAG Ltd.

Date:
    December 2016

Further Details:

      Originally named SONEST, dated March 16, 1988.
      This is a thread safe version of DLACON, which uses the array ISAVE
      in place of a SAVE statement, as follows:
         DLACON     DLACN2
          JUMP     ISAVE(1)
          J        ISAVE(2)
          ITER     ISAVE(3)

Contributors:
    Nick Higham, University of Manchester

References:
    N.J. Higham, 'FORTRAN codes for estimating the one-norm of
      a real or complex matrix, with applications to condition estimation', ACM Trans. Math. Soft., vol. 14, no. 4, pp. 381-396, December 1988.

Definition at line 138 of file dlacn2.f.

  subroutine dlacon (integer N, double precision, dimension( * ) V, double precision, dimension( * ) X, integer, dimension( * ) ISGN, double precision EST, integer KASE)

DLACON estimates the 1-norm of a square matrix, using reverse communication for evaluating matrix-vector products.

Purpose:

     DLACON estimates the 1-norm of a square, real matrix A.
     Reverse communication is used for evaluating matrix-vector products.

Parameters:
    N

              N is INTEGER
             The order of the matrix.  N >= 1.

    V

              V is DOUBLE PRECISION array, dimension (N)
             On the final return, V = A*W,  where  EST = norm(V)/norm(W)
             (W is not returned).

    X

              X is DOUBLE PRECISION array, dimension (N)
             On an intermediate return, X should be overwritten by
                   A * X,   if KASE=1,
                   A**T * X,  if KASE=2,
             and DLACON must be re-called with all the other parameters
             unchanged.

    ISGN

              ISGN is INTEGER array, dimension (N)

    EST

              EST is DOUBLE PRECISION
             On entry with KASE = 1 or 2 and JUMP = 3, EST should be
             unchanged from the previous call to DLACON.
             On exit, EST is an estimate (a lower bound) for norm(A).

    KASE

              KASE is INTEGER
             On the initial call to DLACON, KASE should be 0.
             On an intermediate return, KASE will be 1 or 2, indicating
             whether X should be overwritten by A * X  or A**T * X.
             On the final return from DLACON, KASE will again be 0.

Author:
    Univ. of Tennessee

    Univ. of California Berkeley

    Univ. of Colorado Denver

    NAG Ltd.

Date:
    December 2016

Contributors:
    Nick Higham, University of Manchester.
     Originally named SONEST, dated March 16, 1988.

References:
    N.J. Higham, 'FORTRAN codes for estimating the one-norm of
      a real or complex matrix, with applications to condition estimation', ACM Trans. Math. Soft., vol. 14, no. 4, pp. 381-396, December 1988.

Definition at line 117 of file dlacon.f.

  subroutine dladiv (double precision A, double precision B, double precision C, double precision D, double precision P, double precision Q)

DLADIV performs complex division in real arithmetic, avoiding unnecessary overflow.

Purpose:

     DLADIV performs complex division in  real arithmetic
                           a + i*b
                p + i*q = ---------
                           c + i*d
     The algorithm is due to Michael Baudin and Robert L. Smith
     and can be found in the paper
     "A Robust Complex Division in Scilab"

Parameters:
    A

              A is DOUBLE PRECISION

    B

              B is DOUBLE PRECISION

    C

              C is DOUBLE PRECISION

    D

              D is DOUBLE PRECISION
              The scalars a, b, c, and d in the above expression.

    P

              P is DOUBLE PRECISION

    Q

              Q is DOUBLE PRECISION
              The scalars p and q in the above expression.

Author:
    Univ. of Tennessee

    Univ. of California Berkeley

    Univ. of Colorado Denver

    NAG Ltd.

Date:
    January 2013

Definition at line 93 of file dladiv.f.

  subroutine dladiv1 (double precision A, double precision B, double precision C, double precision D, double precision P, double precision Q)

Definition at line 180 of file dladiv.f.

  double precision function dladiv2 (double precision A, double precision B, double precision C, double precision D, double precision R, double precision T)

Definition at line 220 of file dladiv.f.

  subroutine dlaein (logical RIGHTV, logical NOINIT, integer N, double precision, dimension( ldh, * ) H, integer LDH, double precision WR, double precision WI, double precision, dimension( * ) VR, double precision, dimension( * ) VI, double precision, dimension( ldb, * ) B, integer LDB, double precision, dimension( * ) WORK, double precision EPS3, double precision SMLNUM, double precision BIGNUM, integer INFO)

DLAEIN computes a specified right or left eigenvector of an upper Hessenberg matrix by inverse iteration.

Purpose:

     DLAEIN uses inverse iteration to find a right or left eigenvector
     corresponding to the eigenvalue (WR,WI) of a real upper Hessenberg
     matrix H.

Parameters:
    RIGHTV

              RIGHTV is LOGICAL
              = .TRUE. : compute right eigenvector;
              = .FALSE.: compute left eigenvector.

    NOINIT

              NOINIT is LOGICAL
              = .TRUE. : no initial vector supplied in (VR,VI).
              = .FALSE.: initial vector supplied in (VR,VI).

    N

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

    H

              H is DOUBLE PRECISION array, dimension (LDH,N)
              The upper Hessenberg matrix H.

    LDH

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

    WR

              WR is DOUBLE PRECISION

    WI

              WI is DOUBLE PRECISION
              The real and imaginary parts of the eigenvalue of H whose
              corresponding right or left eigenvector is to be computed.

    VR

              VR is DOUBLE PRECISION array, dimension (N)

    VI

              VI is DOUBLE PRECISION array, dimension (N)
              On entry, if NOINIT = .FALSE. and WI = 0.0, VR must contain
              a real starting vector for inverse iteration using the real
              eigenvalue WR; if NOINIT = .FALSE. and WI.ne.0.0, VR and VI
              must contain the real and imaginary parts of a complex
              starting vector for inverse iteration using the complex
              eigenvalue (WR,WI); otherwise VR and VI need not be set.
              On exit, if WI = 0.0 (real eigenvalue), VR contains the
              computed real eigenvector; if WI.ne.0.0 (complex eigenvalue),
              VR and VI contain the real and imaginary parts of the
              computed complex eigenvector. The eigenvector is normalized
              so that the component of largest magnitude has magnitude 1;
              here the magnitude of a complex number (x,y) is taken to be
              |x| + |y|.
              VI is not referenced if WI = 0.0.

    B

              B is DOUBLE PRECISION array, dimension (LDB,N)

    LDB

              LDB is INTEGER
              The leading dimension of the array B.  LDB >= N+1.

    WORK

              WORK is DOUBLE PRECISION array, dimension (N)

    EPS3

              EPS3 is DOUBLE PRECISION
              A small machine-dependent value which is used to perturb
              close eigenvalues, and to replace zero pivots.

    SMLNUM

              SMLNUM is DOUBLE PRECISION
              A machine-dependent value close to the underflow threshold.

    BIGNUM

              BIGNUM is DOUBLE PRECISION
              A machine-dependent value close to the overflow threshold.

    INFO

              INFO is INTEGER
              = 0:  successful exit
              = 1:  inverse iteration did not converge; VR is set to the
                    last iterate, and so is VI if WI.ne.0.0.

Author:
    Univ. of Tennessee

    Univ. of California Berkeley

    Univ. of Colorado Denver

    NAG Ltd.

Date:
    December 2016

Definition at line 174 of file dlaein.f.

  subroutine dlaexc (logical WANTQ, integer N, double precision, dimension( ldt, * ) T, integer LDT, double precision, dimension( ldq, * ) Q, integer LDQ, integer J1, integer N1, integer N2, double precision, dimension( * ) WORK, integer INFO)

DLAEXC swaps adjacent diagonal blocks of a real upper quasi-triangular matrix in Schur canonical form, by an orthogonal similarity transformation.

Purpose:

     DLAEXC swaps adjacent diagonal blocks T11 and T22 of order 1 or 2 in
     an upper quasi-triangular matrix T by an orthogonal similarity
     transformation.
     T must be in Schur canonical form, that is, block upper triangular
     with 1-by-1 and 2-by-2 diagonal blocks; each 2-by-2 diagonal block
     has its diagonal elemnts equal and its off-diagonal elements of
     opposite sign.

Parameters:
    WANTQ

              WANTQ is LOGICAL
              = .TRUE. : accumulate the transformation in the matrix Q;
              = .FALSE.: do not accumulate the transformation.

    N

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

    T

              T is DOUBLE PRECISION array, dimension (LDT,N)
              On entry, the upper quasi-triangular matrix T, in Schur
              canonical form.
              On exit, the updated matrix T, again in Schur canonical form.

    LDT

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

    Q

              Q is DOUBLE PRECISION array, dimension (LDQ,N)
              On entry, if WANTQ is .TRUE., the orthogonal matrix Q.
              On exit, if WANTQ is .TRUE., the updated matrix Q.
              If WANTQ is .FALSE., Q is not referenced.

    LDQ

              LDQ is INTEGER
              The leading dimension of the array Q.
              LDQ >= 1; and if WANTQ is .TRUE., LDQ >= N.

    J1

              J1 is INTEGER
              The index of the first row of the first block T11.

    N1

              N1 is INTEGER
              The order of the first block T11. N1 = 0, 1 or 2.

    N2

              N2 is INTEGER
              The order of the second block T22. N2 = 0, 1 or 2.

    WORK

              WORK is DOUBLE PRECISION array, dimension (N)

    INFO

              INFO is INTEGER
              = 0: successful exit
              = 1: the transformed matrix T would be too far from Schur
                   form; the blocks are not swapped and T and Q are
                   unchanged.

Author:
    Univ. of Tennessee

    Univ. of California Berkeley

    Univ. of Colorado Denver

    NAG Ltd.

Date:
    December 2016

Definition at line 140 of file dlaexc.f.

  subroutine dlag2 (double precision, dimension( lda, * ) A, integer LDA, double precision, dimension( ldb, * ) B, integer LDB, double precision SAFMIN, double precision SCALE1, double precision SCALE2, double precision WR1, double precision WR2, double precision WI)

DLAG2 computes the eigenvalues of a 2-by-2 generalized eigenvalue problem, with scaling as necessary to avoid over-/underflow.

Purpose:

     DLAG2 computes the eigenvalues of a 2 x 2 generalized eigenvalue
     problem  A - w B, with scaling as necessary to avoid over-/underflow.
     The scaling factor "s" results in a modified eigenvalue equation
         s A - w B
     where  s  is a non-negative scaling factor chosen so that  w,  w B,
     and  s A  do not overflow and, if possible, do not underflow, either.

Parameters:
    A

              A is DOUBLE PRECISION array, dimension (LDA, 2)
              On entry, the 2 x 2 matrix A.  It is assumed that its 1-norm
              is less than 1/SAFMIN.  Entries less than
              sqrt(SAFMIN)*norm(A) are subject to being treated as zero.

    LDA

              LDA is INTEGER
              The leading dimension of the array A.  LDA >= 2.

    B

              B is DOUBLE PRECISION array, dimension (LDB, 2)
              On entry, the 2 x 2 upper triangular matrix B.  It is
              assumed that the one-norm of B is less than 1/SAFMIN.  The
              diagonals should be at least sqrt(SAFMIN) times the largest
              element of B (in absolute value); if a diagonal is smaller
              than that, then  +/- sqrt(SAFMIN) will be used instead of
              that diagonal.

    LDB

              LDB is INTEGER
              The leading dimension of the array B.  LDB >= 2.

    SAFMIN

              SAFMIN is DOUBLE PRECISION
              The smallest positive number s.t. 1/SAFMIN does not
              overflow.  (This should always be DLAMCH('S') -- it is an
              argument in order to avoid having to call DLAMCH frequently.)

    SCALE1

              SCALE1 is DOUBLE PRECISION
              A scaling factor used to avoid over-/underflow in the
              eigenvalue equation which defines the first eigenvalue.  If
              the eigenvalues are complex, then the eigenvalues are
              ( WR1  +/-  WI i ) / SCALE1  (which may lie outside the
              exponent range of the machine), SCALE1=SCALE2, and SCALE1
              will always be positive.  If the eigenvalues are real, then
              the first (real) eigenvalue is  WR1 / SCALE1 , but this may
              overflow or underflow, and in fact, SCALE1 may be zero or
              less than the underflow threshold if the exact eigenvalue
              is sufficiently large.

    SCALE2

              SCALE2 is DOUBLE PRECISION
              A scaling factor used to avoid over-/underflow in the
              eigenvalue equation which defines the second eigenvalue.  If
              the eigenvalues are complex, then SCALE2=SCALE1.  If the
              eigenvalues are real, then the second (real) eigenvalue is
              WR2 / SCALE2 , but this may overflow or underflow, and in
              fact, SCALE2 may be zero or less than the underflow
              threshold if the exact eigenvalue is sufficiently large.

    WR1

              WR1 is DOUBLE PRECISION
              If the eigenvalue is real, then WR1 is SCALE1 times the
              eigenvalue closest to the (2,2) element of A B**(-1).  If the
              eigenvalue is complex, then WR1=WR2 is SCALE1 times the real
              part of the eigenvalues.

    WR2

              WR2 is DOUBLE PRECISION
              If the eigenvalue is real, then WR2 is SCALE2 times the
              other eigenvalue.  If the eigenvalue is complex, then
              WR1=WR2 is SCALE1 times the real part of the eigenvalues.

    WI

              WI is DOUBLE PRECISION
              If the eigenvalue is real, then WI is zero.  If the
              eigenvalue is complex, then WI is SCALE1 times the imaginary
              part of the eigenvalues.  WI will always be non-negative.

Author:
    Univ. of Tennessee

    Univ. of California Berkeley

    Univ. of Colorado Denver

    NAG Ltd.

Date:
    June 2016

Definition at line 158 of file dlag2.f.

  subroutine dlag2s (integer M, integer N, double precision, dimension( lda, * ) A, integer LDA, real, dimension( ldsa, * ) SA, integer LDSA, integer INFO)

DLAG2S converts a double precision matrix to a single precision matrix.

Purpose:

     DLAG2S converts a DOUBLE PRECISION matrix, SA, to a SINGLE
     PRECISION matrix, A.
     RMAX is the overflow for the SINGLE PRECISION arithmetic
     DLAG2S checks that all the entries of A are between -RMAX and
     RMAX. If not the conversion is aborted and a flag is raised.
     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.

    A

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

    LDA

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

    SA

              SA is REAL array, dimension (LDSA,N)
              On exit, if INFO=0, the M-by-N coefficient matrix SA; if
              INFO>0, the content of SA is unspecified.

    LDSA

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

    INFO

              INFO is INTEGER
              = 0:  successful exit.
              = 1:  an entry of the matrix A is greater than the SINGLE
                    PRECISION overflow threshold, in this case, the content
                    of SA in exit is unspecified.

Author:
    Univ. of Tennessee

    Univ. of California Berkeley

    Univ. of Colorado Denver

    NAG Ltd.

Date:
    December 2016

Definition at line 110 of file dlag2s.f.

  subroutine dlags2 (logical UPPER, double precision A1, double precision A2, double precision A3, double precision B1, double precision B2, double precision B3, double precision CSU, double precision SNU, double precision CSV, double precision SNV, double precision CSQ, double precision SNQ)

DLAGS2 computes 2-by-2 orthogonal matrices U, V, and Q, and applies them to matrices A and B such that the rows of the transformed A and B are parallel.

Purpose:

     DLAGS2 computes 2-by-2 orthogonal matrices U, V and Q, such
     that if ( UPPER ) then
               U**T *A*Q = U**T *( A1 A2 )*Q = ( x  0  )
                                 ( 0  A3 )     ( x  x  )
     and
               V**T*B*Q = V**T *( B1 B2 )*Q = ( x  0  )
                                ( 0  B3 )     ( x  x  )
     or if ( .NOT.UPPER ) then
               U**T *A*Q = U**T *( A1 0  )*Q = ( x  x  )
                                 ( A2 A3 )     ( 0  x  )
     and
               V**T*B*Q = V**T*( B1 0  )*Q = ( x  x  )
                               ( B2 B3 )     ( 0  x  )
     The rows of the transformed A and B are parallel, where
       U = (  CSU  SNU ), V = (  CSV SNV ), Q = (  CSQ   SNQ )
           ( -SNU  CSU )      ( -SNV CSV )      ( -SNQ   CSQ )
     Z**T denotes the transpose of Z.

Parameters:
    UPPER

              UPPER is LOGICAL
              = .TRUE.: the input matrices A and B are upper triangular.
              = .FALSE.: the input matrices A and B are lower triangular.

    A1

              A1 is DOUBLE PRECISION

    A2

              A2 is DOUBLE PRECISION

    A3

              A3 is DOUBLE PRECISION
              On entry, A1, A2 and A3 are elements of the input 2-by-2
              upper (lower) triangular matrix A.

    B1

              B1 is DOUBLE PRECISION

    B2

              B2 is DOUBLE PRECISION

    B3

              B3 is DOUBLE PRECISION
              On entry, B1, B2 and B3 are elements of the input 2-by-2
              upper (lower) triangular matrix B.

    CSU

              CSU is DOUBLE PRECISION

    SNU

              SNU is DOUBLE PRECISION
              The desired orthogonal matrix U.

    CSV

              CSV is DOUBLE PRECISION

    SNV

              SNV is DOUBLE PRECISION
              The desired orthogonal matrix V.

    CSQ

              CSQ is DOUBLE PRECISION

    SNQ

              SNQ is DOUBLE PRECISION
              The desired orthogonal matrix Q.

Author:
    Univ. of Tennessee

    Univ. of California Berkeley

    Univ. of Colorado Denver

    NAG Ltd.

Date:
    December 2016

Definition at line 154 of file dlags2.f.

  subroutine dlagtm (character TRANS, integer N, integer NRHS, double precision ALPHA, double precision, dimension( * ) DL, double precision, dimension( * ) D, double precision, dimension( * ) DU, double precision, dimension( ldx, * ) X, integer LDX, double precision BETA, double precision, dimension( ldb, * ) B, integer LDB)

DLAGTM performs a matrix-matrix product of the form C = αAB+βC, where A is a tridiagonal matrix, B and C are rectangular matrices, and α and β are scalars, which may be 0, 1, or -1.

Purpose:

     DLAGTM performs a matrix-vector product of the form
        B := alpha * A * X + beta * B
     where A is a tridiagonal matrix of order N, B and X are N by NRHS
     matrices, and alpha and beta are real scalars, each of which may be
     0., 1., or -1.

Parameters:
    TRANS

              TRANS is CHARACTER*1
              Specifies the operation applied to A.
              = 'N':  No transpose, B := alpha * A * X + beta * B
              = 'T':  Transpose,    B := alpha * A'* X + beta * B
              = 'C':  Conjugate transpose = Transpose

    N

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

    NRHS

              NRHS is INTEGER
              The number of right hand sides, i.e., the number of columns
              of the matrices X and B.

    ALPHA

              ALPHA is DOUBLE PRECISION
              The scalar alpha.  ALPHA must be 0., 1., or -1.; otherwise,
              it is assumed to be 0.

    DL

              DL is DOUBLE PRECISION array, dimension (N-1)
              The (n-1) sub-diagonal elements of T.

    D

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

    DU

              DU is DOUBLE PRECISION array, dimension (N-1)
              The (n-1) super-diagonal elements of T.

    X

              X is DOUBLE PRECISION array, dimension (LDX,NRHS)
              The N by NRHS matrix X.

    LDX

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

    BETA

              BETA is DOUBLE PRECISION
              The scalar beta.  BETA must be 0., 1., or -1.; otherwise,
              it is assumed to be 1.

    B

              B is DOUBLE PRECISION array, dimension (LDB,NRHS)
              On entry, the N by NRHS matrix B.
              On exit, B is overwritten by the matrix expression
              B := alpha * A * X + beta * B.

    LDB

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

Author:
    Univ. of Tennessee

    Univ. of California Berkeley

    Univ. of Colorado Denver

    NAG Ltd.

Date:
    December 2016

Definition at line 147 of file dlagtm.f.

  subroutine dlagv2 (double precision, dimension( lda, * ) A, integer LDA, double precision, dimension( ldb, * ) B, integer LDB, double precision, dimension( 2 ) ALPHAR, double precision, dimension( 2 ) ALPHAI, double precision, dimension( 2 ) BETA, double precision CSL, double precision SNL, double precision CSR, double precision SNR)

DLAGV2 computes the Generalized Schur factorization of a real 2-by-2 matrix pencil (A,B) where B is upper triangular.

Purpose:

     DLAGV2 computes the Generalized Schur factorization of a real 2-by-2
     matrix pencil (A,B) where B is upper triangular. This routine
     computes orthogonal (rotation) matrices given by CSL, SNL and CSR,
     SNR such that
     1) if the pencil (A,B) has two real eigenvalues (include 0/0 or 1/0
        types), then
        [ a11 a12 ] := [  CSL  SNL ] [ a11 a12 ] [  CSR -SNR ]
        [  0  a22 ]    [ -SNL  CSL ] [ a21 a22 ] [  SNR  CSR ]
        [ b11 b12 ] := [  CSL  SNL ] [ b11 b12 ] [  CSR -SNR ]
        [  0  b22 ]    [ -SNL  CSL ] [  0  b22 ] [  SNR  CSR ],
     2) if the pencil (A,B) has a pair of complex conjugate eigenvalues,
        then
        [ a11 a12 ] := [  CSL  SNL ] [ a11 a12 ] [  CSR -SNR ]
        [ a21 a22 ]    [ -SNL  CSL ] [ a21 a22 ] [  SNR  CSR ]
        [ b11  0  ] := [  CSL  SNL ] [ b11 b12 ] [  CSR -SNR ]
        [  0  b22 ]    [ -SNL  CSL ] [  0  b22 ] [  SNR  CSR ]
        where b11 >= b22 > 0.

Parameters:
    A

              A is DOUBLE PRECISION array, dimension (LDA, 2)
              On entry, the 2 x 2 matrix A.
              On exit, A is overwritten by the ``A-part'' of the
              generalized Schur form.

    LDA

              LDA is INTEGER
              THe leading dimension of the array A.  LDA >= 2.

    B

              B is DOUBLE PRECISION array, dimension (LDB, 2)
              On entry, the upper triangular 2 x 2 matrix B.
              On exit, B is overwritten by the ``B-part'' of the
              generalized Schur form.

    LDB

              LDB is INTEGER
              THe leading dimension of the array B.  LDB >= 2.

    ALPHAR

              ALPHAR is DOUBLE PRECISION array, dimension (2)

    ALPHAI

              ALPHAI is DOUBLE PRECISION array, dimension (2)

    BETA

              BETA is DOUBLE PRECISION array, dimension (2)
              (ALPHAR(k)+i*ALPHAI(k))/BETA(k) are the eigenvalues of the
              pencil (A,B), k=1,2, i = sqrt(-1).  Note that BETA(k) may
              be zero.

    CSL

              CSL is DOUBLE PRECISION
              The cosine of the left rotation matrix.

    SNL

              SNL is DOUBLE PRECISION
              The sine of the left rotation matrix.

    CSR

              CSR is DOUBLE PRECISION
              The cosine of the right rotation matrix.

    SNR

              SNR is DOUBLE PRECISION
              The sine of the right rotation matrix.

Author:
    Univ. of Tennessee

    Univ. of California Berkeley

    Univ. of Colorado Denver

    NAG Ltd.

Date:
    December 2016

Contributors:
    Mark Fahey, Department of Mathematics, Univ. of Kentucky, USA

Definition at line 159 of file dlagv2.f.

  subroutine dlahqr (logical WANTT, logical WANTZ, integer N, integer ILO, integer IHI, double precision, dimension( ldh, * ) H, integer LDH, double precision, dimension( * ) WR, double precision, dimension( * ) WI, integer ILOZ, integer IHIZ, double precision, dimension( ldz, * ) Z, integer LDZ, integer INFO)

DLAHQR computes the eigenvalues and Schur factorization of an upper Hessenberg matrix, using the double-shift/single-shift QR algorithm.

Purpose:

        DLAHQR is an auxiliary routine called by DHSEQR to update the
        eigenvalues and Schur decomposition already computed by DHSEQR, by
        dealing with the Hessenberg submatrix in rows and columns ILO to
        IHI.

Parameters:
    WANTT

              WANTT is LOGICAL
              = .TRUE. : the full Schur form T is required;
              = .FALSE.: only eigenvalues are required.

    WANTZ

              WANTZ is LOGICAL
              = .TRUE. : the matrix of Schur vectors Z is required;
              = .FALSE.: Schur vectors are not required.

    N

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

    ILO

              ILO is INTEGER

    IHI

              IHI is INTEGER
              It is assumed that H is already upper quasi-triangular in
              rows and columns IHI+1:N, and that H(ILO,ILO-1) = 0 (unless
              ILO = 1). DLAHQR works primarily with the Hessenberg
              submatrix in rows and columns ILO to IHI, but applies
              transformations to all of H if WANTT is .TRUE..
              1 <= ILO <= max(1,IHI); IHI <= N.

    H

              H is DOUBLE PRECISION array, dimension (LDH,N)
              On entry, the upper Hessenberg matrix H.
              On exit, if INFO is zero and if WANTT is .TRUE., H is upper
              quasi-triangular in rows and columns ILO:IHI, with any
              2-by-2 diagonal blocks in standard form. If INFO is zero
              and WANTT is .FALSE., the contents of H are unspecified on
              exit.  The output state of H if INFO is nonzero is given
              below under the description of INFO.

    LDH

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

    WR

              WR is DOUBLE PRECISION array, dimension (N)

    WI

              WI is DOUBLE PRECISION array, dimension (N)
              The real and imaginary parts, respectively, of the computed
              eigenvalues ILO to IHI are stored in the corresponding
              elements of WR and WI. If two eigenvalues are computed as a
              complex conjugate pair, they are stored in consecutive
              elements of WR and WI, say the i-th and (i+1)th, with
              WI(i) > 0 and WI(i+1) < 0. If WANTT is .TRUE., the
              eigenvalues are stored in the same order as on the diagonal
              of the Schur form returned in H, with WR(i) = H(i,i), and, if
              H(i:i+1,i:i+1) is a 2-by-2 diagonal block,
              WI(i) = sqrt(H(i+1,i)*H(i,i+1)) and WI(i+1) = -WI(i).

    ILOZ

              ILOZ is INTEGER

    IHIZ

              IHIZ is INTEGER
              Specify the rows of Z to which transformations must be
              applied if WANTZ is .TRUE..
              1 <= ILOZ <= ILO; IHI <= IHIZ <= N.

    Z

              Z is DOUBLE PRECISION array, dimension (LDZ,N)
              If WANTZ is .TRUE., on entry Z must contain the current
              matrix Z of transformations accumulated by DHSEQR, and on
              exit Z has been updated; transformations are applied only to
              the submatrix Z(ILOZ:IHIZ,ILO:IHI).
              If WANTZ is .FALSE., Z is not referenced.

    LDZ

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

    INFO

              INFO is INTEGER
               =   0: successful exit
              .GT. 0: If INFO = i, DLAHQR failed to compute all the
                      eigenvalues ILO to IHI in a total of 30 iterations
                      per eigenvalue; elements i+1:ihi of WR and WI
                      contain those eigenvalues which have been
                      successfully computed.
                      If INFO .GT. 0 and WANTT is .FALSE., then on exit,
                      the remaining unconverged eigenvalues are the
                      eigenvalues of the upper Hessenberg matrix rows
                      and columns ILO thorugh INFO of the final, output
                      value of H.
                      If INFO .GT. 0 and WANTT is .TRUE., then on exit
              (*)       (initial value of H)*U  = U*(final value of H)
                      where U is an orthognal matrix.    The final
                      value of H is upper Hessenberg and triangular in
                      rows and columns INFO+1 through IHI.
                      If INFO .GT. 0 and WANTZ is .TRUE., then on exit
                          (final value of Z)  = (initial value of Z)*U
                      where U is the orthogonal matrix in (*)
                      (regardless of the value of WANTT.)

Author:
    Univ. of Tennessee

    Univ. of California Berkeley

    Univ. of Colorado Denver

    NAG Ltd.

Date:
    December 2016

Further Details:

         02-96 Based on modifications by
         David Day, Sandia National Laboratory, USA
         12-04 Further modifications by
         Ralph Byers, University of Kansas, USA
         This is a modified version of DLAHQR from LAPACK version 3.0.
         It is (1) more robust against overflow and underflow and
         (2) adopts the more conservative Ahues & Tisseur stopping
         criterion (LAWN 122, 1997).

Definition at line 209 of file dlahqr.f.

  subroutine dlahr2 (integer N, integer K, integer NB, double precision, dimension( lda, * ) A, integer LDA, double precision, dimension( nb ) TAU, double precision, dimension( ldt, nb ) T, integer LDT, double precision, dimension( ldy, nb ) Y, integer LDY)

DLAHR2 reduces the specified number of first columns of a general rectangular matrix A so that elements below the specified subdiagonal are zero, and returns auxiliary matrices which are needed to apply the transformation to the unreduced part of A.

Purpose:

     DLAHR2 reduces the first NB columns of A real general n-BY-(n-k+1)
     matrix A so that elements below the k-th subdiagonal are zero. The
     reduction is performed by an orthogonal similarity transformation
     Q**T * A * Q. The routine returns the matrices V and T which determine
     Q as a block reflector I - V*T*V**T, and also the matrix Y = A * V * T.
     This is an auxiliary routine called by DGEHRD.

Parameters:
    N

              N is INTEGER
              The order of the matrix A.

    K

              K is INTEGER
              The offset for the reduction. Elements below the k-th
              subdiagonal in the first NB columns are reduced to zero.
              K < N.

    NB

              NB is INTEGER
              The number of columns to be reduced.

    A

              A is DOUBLE PRECISION array, dimension (LDA,N-K+1)
              On entry, the n-by-(n-k+1) general matrix A.
              On exit, the elements on and above the k-th subdiagonal in
              the first NB columns are overwritten with the corresponding
              elements of the reduced matrix; the elements below the k-th
              subdiagonal, with the array TAU, represent the matrix Q as a
              product of elementary reflectors. The other columns of A are
              unchanged. See Further Details.

    LDA

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

    TAU

              TAU is DOUBLE PRECISION array, dimension (NB)
              The scalar factors of the elementary reflectors. See Further
              Details.

    T

              T is DOUBLE PRECISION array, dimension (LDT,NB)
              The upper triangular matrix T.

    LDT

              LDT is INTEGER
              The leading dimension of the array T.  LDT >= NB.

    Y

              Y is DOUBLE PRECISION array, dimension (LDY,NB)
              The n-by-nb matrix Y.

    LDY

              LDY is INTEGER
              The leading dimension of the array Y. LDY >= N.

Author:
    Univ. of Tennessee

    Univ. of California Berkeley

    Univ. of Colorado Denver

    NAG Ltd.

Date:
    December 2016

Further Details:

      The matrix Q is represented as a product of nb elementary reflectors
         Q = H(1) H(2) . . . H(nb).
      Each H(i) has the form
         H(i) = I - tau * v * v**T
      where tau is a real scalar, and v is a real vector with
      v(1:i+k-1) = 0, v(i+k) = 1; v(i+k+1:n) is stored on exit in
      A(i+k+1:n,i), and tau in TAU(i).
      The elements of the vectors v together form the (n-k+1)-by-nb matrix
      V which is needed, with T and Y, to apply the transformation to the
      unreduced part of the matrix, using an update of the form:
      A := (I - V*T*V**T) * (A - Y*V**T).
      The contents of A on exit are illustrated by the following example
      with n = 7, k = 3 and nb = 2:
         ( a   a   a   a   a )
         ( a   a   a   a   a )
         ( a   a   a   a   a )
         ( h   h   a   a   a )
         ( v1  h   a   a   a )
         ( v1  v2  a   a   a )
         ( v1  v2  a   a   a )
      where a denotes an element of the original matrix A, h denotes a
      modified element of the upper Hessenberg matrix H, and vi denotes an
      element of the vector defining H(i).
      This subroutine is a slight modification of LAPACK-3.0's DLAHRD
      incorporating improvements proposed by Quintana-Orti and Van de
      Gejin. Note that the entries of A(1:K,2:NB) differ from those
      returned by the original LAPACK-3.0's DLAHRD routine. (This
      subroutine is not backward compatible with LAPACK-3.0's DLAHRD.)

References:
    Gregorio Quintana-Orti and Robert van de Geijn, 'Improving the
      performance of reduction to Hessenberg form,' ACM Transactions on Mathematical Software, 32(2):180-194, June 2006.

Definition at line 183 of file dlahr2.f.

  subroutine dlaic1 (integer JOB, integer J, double precision, dimension( j ) X, double precision SEST, double precision, dimension( j ) W, double precision GAMMA, double precision SESTPR, double precision S, double precision C)

DLAIC1 applies one step of incremental condition estimation.

Purpose:

     DLAIC1 applies one step of incremental condition estimation in
     its simplest version:
     Let x, twonorm(x) = 1, be an approximate singular vector of an j-by-j
     lower triangular matrix L, such that
              twonorm(L*x) = sest
     Then DLAIC1 computes sestpr, s, c such that
     the vector
                     [ s*x ]
              xhat = [  c  ]
     is an approximate singular vector of
                     [ L       0  ]
              Lhat = [ w**T gamma ]
     in the sense that
              twonorm(Lhat*xhat) = sestpr.
     Depending on JOB, an estimate for the largest or smallest singular
     value is computed.
     Note that [s c]**T and sestpr**2 is an eigenpair of the system
         diag(sest*sest, 0) + [alpha  gamma] * [ alpha ]
                                               [ gamma ]
     where  alpha =  x**T*w.

Parameters:
    JOB

              JOB is INTEGER
              = 1: an estimate for the largest singular value is computed.
              = 2: an estimate for the smallest singular value is computed.

    J

              J is INTEGER
              Length of X and W

    X

              X is DOUBLE PRECISION array, dimension (J)
              The j-vector x.

    SEST

              SEST is DOUBLE PRECISION
              Estimated singular value of j by j matrix L

    W

              W is DOUBLE PRECISION array, dimension (J)
              The j-vector w.

    GAMMA

              GAMMA is DOUBLE PRECISION
              The diagonal element gamma.

    SESTPR

              SESTPR is DOUBLE PRECISION
              Estimated singular value of (j+1) by (j+1) matrix Lhat.

    S

              S is DOUBLE PRECISION
              Sine needed in forming xhat.

    C

              C is DOUBLE PRECISION
              Cosine needed in forming xhat.

Author:
    Univ. of Tennessee

    Univ. of California Berkeley

    Univ. of Colorado Denver

    NAG Ltd.

Date:
    December 2016

Definition at line 136 of file dlaic1.f.

  subroutine dlaln2 (logical LTRANS, integer NA, integer NW, double precision SMIN, double precision CA, double precision, dimension( lda, * ) A, integer LDA, double precision D1, double precision D2, double precision, dimension( ldb, * ) B, integer LDB, double precision WR, double precision WI, double precision, dimension( ldx, * ) X, integer LDX, double precision SCALE, double precision XNORM, integer INFO)

DLALN2 solves a 1-by-1 or 2-by-2 linear system of equations of the specified form.

Purpose:

     DLALN2 solves a system of the form  (ca A - w D ) X = s B
     or (ca A**T - w D) X = s B   with possible scaling ("s") and
     perturbation of A.  (A**T means A-transpose.)
     A is an NA x NA real matrix, ca is a real scalar, D is an NA x NA
     real diagonal matrix, w is a real or complex value, and X and B are
     NA x 1 matrices -- real if w is real, complex if w is complex.  NA
     may be 1 or 2.
     If w is complex, X and B are represented as NA x 2 matrices,
     the first column of each being the real part and the second
     being the imaginary part.
     "s" is a scaling factor (.LE. 1), computed by DLALN2, which is
     so chosen that X can be computed without overflow.  X is further
     scaled if necessary to assure that norm(ca A - w D)*norm(X) is less
     than overflow.
     If both singular values of (ca A - w D) are less than SMIN,
     SMIN*identity will be used instead of (ca A - w D).  If only one
     singular value is less than SMIN, one element of (ca A - w D) will be
     perturbed enough to make the smallest singular value roughly SMIN.
     If both singular values are at least SMIN, (ca A - w D) will not be
     perturbed.  In any case, the perturbation will be at most some small
     multiple of max( SMIN, ulp*norm(ca A - w D) ).  The singular values
     are computed by infinity-norm approximations, and thus will only be
     correct to a factor of 2 or so.
     Note: all input quantities are assumed to be smaller than overflow
     by a reasonable factor.  (See BIGNUM.)

Parameters:
    LTRANS

              LTRANS is LOGICAL
              =.TRUE.:  A-transpose will be used.
              =.FALSE.: A will be used (not transposed.)

    NA

              NA is INTEGER
              The size of the matrix A.  It may (only) be 1 or 2.

    NW

              NW is INTEGER
              1 if "w" is real, 2 if "w" is complex.  It may only be 1
              or 2.

    SMIN

              SMIN is DOUBLE PRECISION
              The desired lower bound on the singular values of A.  This
              should be a safe distance away from underflow or overflow,
              say, between (underflow/machine precision) and  (machine
              precision * overflow ).  (See BIGNUM and ULP.)

    CA

              CA is DOUBLE PRECISION
              The coefficient c, which A is multiplied by.

    A

              A is DOUBLE PRECISION array, dimension (LDA,NA)
              The NA x NA matrix A.

    LDA

              LDA is INTEGER
              The leading dimension of A.  It must be at least NA.

    D1

              D1 is DOUBLE PRECISION
              The 1,1 element in the diagonal matrix D.

    D2

              D2 is DOUBLE PRECISION
              The 2,2 element in the diagonal matrix D.  Not used if NA=1.

    B

              B is DOUBLE PRECISION array, dimension (LDB,NW)
              The NA x NW matrix B (right-hand side).  If NW=2 ("w" is
              complex), column 1 contains the real part of B and column 2
              contains the imaginary part.

    LDB

              LDB is INTEGER
              The leading dimension of B.  It must be at least NA.

    WR

              WR is DOUBLE PRECISION
              The real part of the scalar "w".

    WI

              WI is DOUBLE PRECISION
              The imaginary part of the scalar "w".  Not used if NW=1.

    X

              X is DOUBLE PRECISION array, dimension (LDX,NW)
              The NA x NW matrix X (unknowns), as computed by DLALN2.
              If NW=2 ("w" is complex), on exit, column 1 will contain
              the real part of X and column 2 will contain the imaginary
              part.

    LDX

              LDX is INTEGER
              The leading dimension of X.  It must be at least NA.

    SCALE

              SCALE is DOUBLE PRECISION
              The scale factor that B must be multiplied by to insure
              that overflow does not occur when computing X.  Thus,
              (ca A - w D) X  will be SCALE*B, not B (ignoring
              perturbations of A.)  It will be at most 1.

    XNORM

              XNORM is DOUBLE PRECISION
              The infinity-norm of X, when X is regarded as an NA x NW
              real matrix.

    INFO

              INFO is INTEGER
              An error flag.  It will be set to zero if no error occurs,
              a negative number if an argument is in error, or a positive
              number if  ca A - w D  had to be perturbed.
              The possible values are:
              = 0: No error occurred, and (ca A - w D) did not have to be
                     perturbed.
              = 1: (ca A - w D) had to be perturbed to make its smallest
                   (or only) singular value greater than SMIN.
              NOTE: In the interests of speed, this routine does not
                    check the inputs for errors.

Author:
    Univ. of Tennessee

    Univ. of California Berkeley

    Univ. of Colorado Denver

    NAG Ltd.

Date:
    December 2016

Definition at line 220 of file dlaln2.f.

  double precision function dlangt (character NORM, integer N, double precision, dimension( * ) DL, double precision, dimension( * ) D, double precision, dimension( * ) DU)

DLANGT returns the value of the 1-norm, Frobenius norm, infinity-norm, or the largest absolute value of any element of a general tridiagonal matrix.

Purpose:

     DLANGT  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 tridiagonal matrix A.

Returns:
    DLANGT

        DLANGT = ( 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 DLANGT as described
              above.

    N

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

    DL

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

    D

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

    DU

              DU is DOUBLE PRECISION array, dimension (N-1)
              The (n-1) 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 108 of file dlangt.f.

  double precision function dlanhs (character NORM, integer N, double precision, dimension( lda, * ) A, integer LDA, double precision, dimension( * ) WORK)

DLANHS returns the value of the 1-norm, Frobenius norm, infinity-norm, or the largest absolute value of any element of an upper Hessenberg matrix.

Purpose:

     DLANHS  returns the value of the one norm,  or the Frobenius norm, or
     the  infinity norm,  or the  element of  largest absolute value  of a
     Hessenberg matrix A.

Returns:
    DLANHS

        DLANHS = ( 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 DLANHS as described
              above.

    N

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

    A

              A is DOUBLE PRECISION array, dimension (LDA,N)
              The n by n upper Hessenberg matrix A; the part of A below the
              first sub-diagonal is not referenced.

    LDA

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

    WORK

              WORK is DOUBLE PRECISION array, dimension (MAX(1,LWORK)),
              where LWORK >= N when NORM = 'I'; otherwise, WORK is not
              referenced.

Author:
    Univ. of Tennessee

    Univ. of California Berkeley

    Univ. of Colorado Denver

    NAG Ltd.

Date:
    December 2016

Definition at line 110 of file dlanhs.f.

  double precision function dlansb (character NORM, character UPLO, integer N, integer K, double precision, dimension( ldab, * ) AB, integer LDAB, double precision, dimension( * ) WORK)

DLANSB returns the value of the 1-norm, or the Frobenius norm, or the infinity norm, or the element of largest absolute value of a symmetric band matrix.

Purpose:

     DLANSB  returns the value of the one norm,  or the Frobenius norm, or
     the  infinity norm,  or the element of  largest absolute value  of an
     n by n symmetric band matrix A,  with k super-diagonals.

Returns:
    DLANSB

        DLANSB = ( 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 DLANSB as described
              above.

    UPLO

              UPLO is CHARACTER*1
              Specifies whether the upper or lower triangular part of the
              band matrix A is supplied.
              = 'U':  Upper triangular part is supplied
              = 'L':  Lower triangular part is supplied

    N

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

    K

              K is INTEGER
              The number of super-diagonals or sub-diagonals of the
              band matrix A.  K >= 0.

    AB

              AB is DOUBLE PRECISION array, dimension (LDAB,N)
              The upper or lower triangle of the symmetric band matrix A,
              stored in the first K+1 rows of AB.  The j-th column of A is
              stored in the j-th column of the array AB as follows:
              if UPLO = 'U', AB(k+1+i-j,j) = A(i,j) for max(1,j-k)<=i<=j;
              if UPLO = 'L', AB(1+i-j,j)   = A(i,j) for j<=i<=min(n,j+k).

    LDAB

              LDAB is INTEGER
              The leading dimension of the array AB.  LDAB >= K+1.

    WORK

              WORK is DOUBLE PRECISION array, dimension (MAX(1,LWORK)),
              where LWORK >= N when NORM = 'I' or '1' or 'O'; otherwise,
              WORK is not referenced.

Author:
    Univ. of Tennessee

    Univ. of California Berkeley

    Univ. of Colorado Denver

    NAG Ltd.

Date:
    December 2016

Definition at line 131 of file dlansb.f.

  double precision function dlansp (character NORM, character UPLO, integer N, double precision, dimension( * ) AP, double precision, dimension( * ) WORK)

DLANSP returns the value of the 1-norm, or the Frobenius norm, or the infinity norm, or the element of largest absolute value of a symmetric matrix supplied in packed form.

Purpose:

     DLANSP  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 matrix A,  supplied in packed form.

Returns:
    DLANSP

        DLANSP = ( 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 DLANSP as described
              above.

    UPLO

              UPLO is CHARACTER*1
              Specifies whether the upper or lower triangular part of the
              symmetric matrix A is supplied.
              = 'U':  Upper triangular part of A is supplied
              = 'L':  Lower triangular part of A is supplied

    N

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

    AP

              AP is DOUBLE PRECISION array, dimension (N*(N+1)/2)
              The upper or lower triangle of the symmetric matrix A, packed
              columnwise in a linear array.  The j-th column of A is stored
              in the array AP as follows:
              if UPLO = 'U', AP(i + (j-1)*j/2) = A(i,j) for 1<=i<=j;
              if UPLO = 'L', AP(i + (j-1)*(2n-j)/2) = A(i,j) for j<=i<=n.

    WORK

              WORK is DOUBLE PRECISION array, dimension (MAX(1,LWORK)),
              where LWORK >= N when NORM = 'I' or '1' or 'O'; otherwise,
              WORK is not referenced.

Author:
    Univ. of Tennessee

    Univ. of California Berkeley

    Univ. of Colorado Denver

    NAG Ltd.

Date:
    December 2016

Definition at line 116 of file dlansp.f.

  double precision function dlantb (character NORM, character UPLO, character DIAG, integer N, integer K, double precision, dimension( ldab, * ) AB, integer LDAB, double precision, dimension( * ) WORK)

DLANTB returns the value of the 1-norm, or the Frobenius norm, or the infinity norm, or the element of largest absolute value of a triangular band matrix.

Purpose:

     DLANTB  returns the value of the one norm,  or the Frobenius norm, or
     the  infinity norm,  or the element of  largest absolute value  of an
     n by n triangular band matrix A,  with ( k + 1 ) diagonals.

Returns:
    DLANTB

        DLANTB = ( 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 DLANTB as described
              above.

    UPLO

              UPLO is CHARACTER*1
              Specifies whether the matrix A is upper or lower triangular.
              = 'U':  Upper triangular
              = 'L':  Lower triangular

    DIAG

              DIAG is CHARACTER*1
              Specifies whether or not the matrix A is unit triangular.
              = 'N':  Non-unit triangular
              = 'U':  Unit triangular

    N

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

    K

              K is INTEGER
              The number of super-diagonals of the matrix A if UPLO = 'U',
              or the number of sub-diagonals of the matrix A if UPLO = 'L'.
              K >= 0.

    AB

              AB is DOUBLE PRECISION array, dimension (LDAB,N)
              The upper or lower triangular band matrix A, stored in the
              first k+1 rows of AB.  The j-th column of A is stored
              in the j-th column of the array AB as follows:
              if UPLO = 'U', AB(k+1+i-j,j) = A(i,j) for max(1,j-k)<=i<=j;
              if UPLO = 'L', AB(1+i-j,j)   = A(i,j) for j<=i<=min(n,j+k).
              Note that when DIAG = 'U', the elements of the array AB
              corresponding to the diagonal elements of the matrix A are
              not referenced, but are assumed to be one.

    LDAB

              LDAB is INTEGER
              The leading dimension of the array AB.  LDAB >= K+1.

    WORK

              WORK is DOUBLE PRECISION array, dimension (MAX(1,LWORK)),
              where LWORK >= N when NORM = 'I'; otherwise, WORK is not
              referenced.

Author:
    Univ. of Tennessee

    Univ. of California Berkeley

    Univ. of Colorado Denver

    NAG Ltd.

Date:
    December 2016

Definition at line 142 of file dlantb.f.

  double precision function dlantp (character NORM, character UPLO, character DIAG, integer N, double precision, dimension( * ) AP, double precision, dimension( * ) WORK)

DLANTP returns the value of the 1-norm, or the Frobenius norm, or the infinity norm, or the element of largest absolute value of a triangular matrix supplied in packed form.

Purpose:

     DLANTP  returns the value of the one norm,  or the Frobenius norm, or
     the  infinity norm,  or the  element of  largest absolute value  of a
     triangular matrix A, supplied in packed form.

Returns:
    DLANTP

        DLANTP = ( 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 DLANTP as described
              above.

    UPLO

              UPLO is CHARACTER*1
              Specifies whether the matrix A is upper or lower triangular.
              = 'U':  Upper triangular
              = 'L':  Lower triangular

    DIAG

              DIAG is CHARACTER*1
              Specifies whether or not the matrix A is unit triangular.
              = 'N':  Non-unit triangular
              = 'U':  Unit triangular

    N

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

    AP

              AP is DOUBLE PRECISION array, dimension (N*(N+1)/2)
              The upper or lower triangular matrix A, packed columnwise in
              a linear array.  The j-th column of A is stored in the array
              AP as follows:
              if UPLO = 'U', AP(i + (j-1)*j/2) = A(i,j) for 1<=i<=j;
              if UPLO = 'L', AP(i + (j-1)*(2n-j)/2) = A(i,j) for j<=i<=n.
              Note that when DIAG = 'U', the elements of the array AP
              corresponding to the diagonal elements of the matrix A are
              not referenced, but are assumed to be one.

    WORK

              WORK is DOUBLE PRECISION array, dimension (MAX(1,LWORK)),
              where LWORK >= N when NORM = 'I'; otherwise, WORK is not
              referenced.

Author:
    Univ. of Tennessee

    Univ. of California Berkeley

    Univ. of Colorado Denver

    NAG Ltd.

Date:
    December 2016

Definition at line 126 of file dlantp.f.

  double precision function dlantr (character NORM, character UPLO, character DIAG, integer M, integer N, double precision, dimension( lda, * ) A, integer LDA, double precision, dimension( * ) WORK)

DLANTR returns the value of the 1-norm, or the Frobenius norm, or the infinity norm, or the element of largest absolute value of a trapezoidal or triangular matrix.

Purpose:

     DLANTR  returns the value of the one norm,  or the Frobenius norm, or
     the  infinity norm,  or the  element of  largest absolute value  of a
     trapezoidal or triangular matrix A.

Returns:
    DLANTR

        DLANTR = ( 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 DLANTR as described
              above.

    UPLO

              UPLO is CHARACTER*1
              Specifies whether the matrix A is upper or lower trapezoidal.
              = 'U':  Upper trapezoidal
              = 'L':  Lower trapezoidal
              Note that A is triangular instead of trapezoidal if M = N.

    DIAG

              DIAG is CHARACTER*1
              Specifies whether or not the matrix A has unit diagonal.
              = 'N':  Non-unit diagonal
              = 'U':  Unit diagonal

    M

              M is INTEGER
              The number of rows of the matrix A.  M >= 0, and if
              UPLO = 'U', M <= N.  When M = 0, DLANTR is set to zero.

    N

              N is INTEGER
              The number of columns of the matrix A.  N >= 0, and if
              UPLO = 'L', N <= M.  When N = 0, DLANTR is set to zero.

    A

              A is DOUBLE PRECISION array, dimension (LDA,N)
              The trapezoidal matrix A (A is triangular if M = N).
              If UPLO = 'U', the leading m by n upper trapezoidal part of
              the array A contains the upper trapezoidal matrix, and the
              strictly lower triangular part of A is not referenced.
              If UPLO = 'L', the leading m by n lower trapezoidal part of
              the array A contains the lower trapezoidal matrix, and the
              strictly upper triangular part of A is not referenced.  Note
              that when DIAG = 'U', the diagonal elements of A are not
              referenced and are assumed to be one.

    LDA

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

    WORK

              WORK is DOUBLE PRECISION array, dimension (MAX(1,LWORK)),
              where LWORK >= M when NORM = 'I'; otherwise, WORK is not
              referenced.

Author:
    Univ. of Tennessee

    Univ. of California Berkeley

    Univ. of Colorado Denver

    NAG Ltd.

Date:
    December 2016

Definition at line 143 of file dlantr.f.

  subroutine dlanv2 (double precision A, double precision B, double precision C, double precision D, double precision RT1R, double precision RT1I, double precision RT2R, double precision RT2I, double precision CS, double precision SN)

DLANV2 computes the Schur factorization of a real 2-by-2 nonsymmetric matrix in standard form.

Purpose:

     DLANV2 computes the Schur factorization of a real 2-by-2 nonsymmetric
     matrix in standard form:
          [ A  B ] = [ CS -SN ] [ AA  BB ] [ CS  SN ]
          [ C  D ]   [ SN  CS ] [ CC  DD ] [-SN  CS ]
     where either
     1) CC = 0 so that AA and DD are real eigenvalues of the matrix, or
     2) AA = DD and BB*CC < 0, so that AA + or - sqrt(BB*CC) are complex
     conjugate eigenvalues.

Parameters:
    A

              A is DOUBLE PRECISION

    B

              B is DOUBLE PRECISION

    C

              C is DOUBLE PRECISION

    D

              D is DOUBLE PRECISION
              On entry, the elements of the input matrix.
              On exit, they are overwritten by the elements of the
              standardised Schur form.

    RT1R

              RT1R is DOUBLE PRECISION

    RT1I

              RT1I is DOUBLE PRECISION

    RT2R

              RT2R is DOUBLE PRECISION

    RT2I

              RT2I is DOUBLE PRECISION
              The real and imaginary parts of the eigenvalues. If the
              eigenvalues are a complex conjugate pair, RT1I > 0.

    CS

              CS is DOUBLE PRECISION

    SN

              SN is DOUBLE PRECISION
              Parameters of the rotation matrix.

Author:
    Univ. of Tennessee

    Univ. of California Berkeley

    Univ. of Colorado Denver

    NAG Ltd.

Date:
    December 2016

Further Details:

      Modified by V. Sima, Research Institute for Informatics, Bucharest,
      Romania, to reduce the risk of cancellation errors,
      when computing real eigenvalues, and to ensure, if possible, that
      abs(RT1R) >= abs(RT2R).

Definition at line 129 of file dlanv2.f.

  subroutine dlapll (integer N, double precision, dimension( * ) X, integer INCX, double precision, dimension( * ) Y, integer INCY, double precision SSMIN)

DLAPLL measures the linear dependence of two vectors.

Purpose:

     Given two column vectors X and Y, let
                          A = ( X Y ).
     The subroutine first computes the QR factorization of A = Q*R,
     and then computes the SVD of the 2-by-2 upper triangular matrix R.
     The smaller singular value of R is returned in SSMIN, which is used
     as the measurement of the linear dependency of the vectors X and Y.

Parameters:
    N

              N is INTEGER
              The length of the vectors X and Y.

    X

              X is DOUBLE PRECISION array,
                             dimension (1+(N-1)*INCX)
              On entry, X contains the N-vector X.
              On exit, X is overwritten.

    INCX

              INCX is INTEGER
              The increment between successive elements of X. INCX > 0.

    Y

              Y is DOUBLE PRECISION array,
                             dimension (1+(N-1)*INCY)
              On entry, Y contains the N-vector Y.
              On exit, Y is overwritten.

    INCY

              INCY is INTEGER
              The increment between successive elements of Y. INCY > 0.

    SSMIN

              SSMIN is DOUBLE PRECISION
              The smallest singular value of the N-by-2 matrix A = ( X Y ).

Author:
    Univ. of Tennessee

    Univ. of California Berkeley

    Univ. of Colorado Denver

    NAG Ltd.

Date:
    December 2016

Definition at line 104 of file dlapll.f.

  subroutine dlapmr (logical FORWRD, integer M, integer N, double precision, dimension( ldx, * ) X, integer LDX, integer, dimension( * ) K)

DLAPMR rearranges rows of a matrix as specified by a permutation vector.

Purpose:

     DLAPMR rearranges the rows of the M by N matrix X as specified
     by the permutation K(1),K(2),...,K(M) of the integers 1,...,M.
     If FORWRD = .TRUE.,  forward permutation:
          X(K(I),*) is moved X(I,*) for I = 1,2,...,M.
     If FORWRD = .FALSE., backward permutation:
          X(I,*) is moved to X(K(I),*) for I = 1,2,...,M.

Parameters:
    FORWRD

              FORWRD is LOGICAL
              = .TRUE., forward permutation
              = .FALSE., backward permutation

    M

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

    N

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

    X

              X is DOUBLE PRECISION array, dimension (LDX,N)
              On entry, the M by N matrix X.
              On exit, X contains the permuted matrix X.

    LDX

              LDX is INTEGER
              The leading dimension of the array X, LDX >= MAX(1,M).

    K

              K is INTEGER array, dimension (M)
              On entry, K contains the permutation vector. K is used as
              internal workspace, but reset to its original value on
              output.

Author:
    Univ. of Tennessee

    Univ. of California Berkeley

    Univ. of Colorado Denver

    NAG Ltd.

Date:
    December 2016

Definition at line 106 of file dlapmr.f.

  subroutine dlapmt (logical FORWRD, integer M, integer N, double precision, dimension( ldx, * ) X, integer LDX, integer, dimension( * ) K)

DLAPMT performs a forward or backward permutation of the columns of a matrix.

Purpose:

     DLAPMT rearranges the columns of the M by N matrix X as specified
     by the permutation K(1),K(2),...,K(N) of the integers 1,...,N.
     If FORWRD = .TRUE.,  forward permutation:
          X(*,K(J)) is moved X(*,J) for J = 1,2,...,N.
     If FORWRD = .FALSE., backward permutation:
          X(*,J) is moved to X(*,K(J)) for J = 1,2,...,N.

Parameters:
    FORWRD

              FORWRD is LOGICAL
              = .TRUE., forward permutation
              = .FALSE., backward permutation

    M

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

    N

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

    X

              X is DOUBLE PRECISION array, dimension (LDX,N)
              On entry, the M by N matrix X.
              On exit, X contains the permuted matrix X.

    LDX

              LDX is INTEGER
              The leading dimension of the array X, LDX >= MAX(1,M).

    K

              K is INTEGER array, dimension (N)
              On entry, K contains the permutation vector. K is used as
              internal workspace, but reset to its original value on
              output.

Author:
    Univ. of Tennessee

    Univ. of California Berkeley

    Univ. of Colorado Denver

    NAG Ltd.

Date:
    December 2016

Definition at line 106 of file dlapmt.f.

  subroutine dlaqp2 (integer M, integer N, integer OFFSET, double precision, dimension( lda, * ) A, integer LDA, integer, dimension( * ) JPVT, double precision, dimension( * ) TAU, double precision, dimension( * ) VN1, double precision, dimension( * ) VN2, double precision, dimension( * ) WORK)

DLAQP2 computes a QR factorization with column pivoting of the matrix block.

Purpose:

     DLAQP2 computes a QR factorization with column pivoting of
     the block A(OFFSET+1:M,1:N).
     The block A(1:OFFSET,1:N) is accordingly pivoted, but not factorized.

Parameters:
    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.

    OFFSET

              OFFSET is INTEGER
              The number of rows of the matrix A that must be pivoted
              but no factorized. OFFSET >= 0.

    A

              A is DOUBLE PRECISION array, dimension (LDA,N)
              On entry, the M-by-N matrix A.
              On exit, the upper triangle of block A(OFFSET+1:M,1:N) is
              the triangular factor obtained; the elements in block
              A(OFFSET+1:M,1:N) below the diagonal, together with the
              array TAU, represent the orthogonal matrix Q as a product of
              elementary reflectors. Block A(1:OFFSET,1:N) has been
              accordingly pivoted, but no factorized.

    LDA

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

    JPVT

              JPVT is INTEGER array, dimension (N)
              On entry, if JPVT(i) .ne. 0, the i-th column of A is permuted
              to the front of A*P (a leading column); if JPVT(i) = 0,
              the i-th column of A is a free column.
              On exit, if JPVT(i) = k, then the i-th column of A*P
              was the k-th column of A.

    TAU

              TAU is DOUBLE PRECISION array, dimension (min(M,N))
              The scalar factors of the elementary reflectors.

    VN1

              VN1 is DOUBLE PRECISION array, dimension (N)
              The vector with the partial column norms.

    VN2

              VN2 is DOUBLE PRECISION array, dimension (N)
              The vector with the exact column norms.

    WORK

              WORK is DOUBLE PRECISION array, dimension (N)

Author:
    Univ. of Tennessee

    Univ. of California Berkeley

    Univ. of Colorado Denver

    NAG Ltd.

Date:
    December 2016

Contributors:
    G. Quintana-Orti, Depto. de Informatica, Universidad Jaime I, Spain X. Sun, Computer Science Dept., Duke University, USA
     Partial column norm updating strategy modified on April 2011 Z. Drmac and Z. Bujanovic, Dept. of Mathematics, University of Zagreb, Croatia.

References:
    LAPACK Working Note 176

Definition at line 151 of file dlaqp2.f.

  subroutine dlaqps (integer M, integer N, integer OFFSET, integer NB, integer KB, double precision, dimension( lda, * ) A, integer LDA, integer, dimension( * ) JPVT, double precision, dimension( * ) TAU, double precision, dimension( * ) VN1, double precision, dimension( * ) VN2, double precision, dimension( * ) AUXV, double precision, dimension( ldf, * ) F, integer LDF)

DLAQPS computes a step of QR factorization with column pivoting of a real m-by-n matrix A by using BLAS level 3.

Purpose:

     DLAQPS computes a step of QR factorization with column pivoting
     of a real M-by-N matrix A by using Blas-3.  It tries to factorize
     NB columns from A starting from the row OFFSET+1, and updates all
     of the matrix with Blas-3 xGEMM.
     In some cases, due to catastrophic cancellations, it cannot
     factorize NB columns.  Hence, the actual number of factorized
     columns is returned in KB.
     Block A(1:OFFSET,1:N) is accordingly pivoted, but not factorized.

Parameters:
    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

    OFFSET

              OFFSET is INTEGER
              The number of rows of A that have been factorized in
              previous steps.

    NB

              NB is INTEGER
              The number of columns to factorize.

    KB

              KB is INTEGER
              The number of columns actually factorized.

    A

              A is DOUBLE PRECISION array, dimension (LDA,N)
              On entry, the M-by-N matrix A.
              On exit, block A(OFFSET+1:M,1:KB) is the triangular
              factor obtained and block A(1:OFFSET,1:N) has been
              accordingly pivoted, but no factorized.
              The rest of the matrix, block A(OFFSET+1:M,KB+1:N) has
              been updated.

    LDA

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

    JPVT

              JPVT is INTEGER array, dimension (N)
              JPVT(I) = K <==> Column K of the full matrix A has been
              permuted into position I in AP.

    TAU

              TAU is DOUBLE PRECISION array, dimension (KB)
              The scalar factors of the elementary reflectors.

    VN1

              VN1 is DOUBLE PRECISION array, dimension (N)
              The vector with the partial column norms.

    VN2

              VN2 is DOUBLE PRECISION array, dimension (N)
              The vector with the exact column norms.

    AUXV

              AUXV is DOUBLE PRECISION array, dimension (NB)
              Auxiliar vector.

    F

              F is DOUBLE PRECISION array, dimension (LDF,NB)
              Matrix F**T = L*Y**T*A.

    LDF

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

Author:
    Univ. of Tennessee

    Univ. of California Berkeley

    Univ. of Colorado Denver

    NAG Ltd.

Date:
    December 2016

Contributors:
    G. Quintana-Orti, Depto. de Informatica, Universidad Jaime I, Spain X. Sun, Computer Science Dept., Duke University, USA
     Partial column norm updating strategy modified on April 2011 Z. Drmac and Z. Bujanovic, Dept. of Mathematics, University of Zagreb, Croatia.

References:
    LAPACK Working Note 176

Definition at line 179 of file dlaqps.f.

  subroutine dlaqr0 (logical WANTT, logical WANTZ, integer N, integer ILO, integer IHI, double precision, dimension( ldh, * ) H, integer LDH, double precision, dimension( * ) WR, double precision, dimension( * ) WI, integer ILOZ, integer IHIZ, double precision, dimension( ldz, * ) Z, integer LDZ, double precision, dimension( * ) WORK, integer LWORK, integer INFO)

DLAQR0 computes the eigenvalues of a Hessenberg matrix, and optionally the matrices from the Schur decomposition.

Purpose:

        DLAQR0 computes the eigenvalues of a Hessenberg matrix H
        and, optionally, the matrices T and Z from the Schur decomposition
        H = Z T Z**T, where T is an upper quasi-triangular matrix (the
        Schur form), and Z is the orthogonal matrix of Schur vectors.
        Optionally Z may be postmultiplied into an input orthogonal
        matrix Q so that this routine can give the Schur factorization
        of a matrix A which has been reduced to the Hessenberg form H
        by the orthogonal matrix Q:  A = Q*H*Q**T = (QZ)*T*(QZ)**T.

Parameters:
    WANTT

              WANTT is LOGICAL
              = .TRUE. : the full Schur form T is required;
              = .FALSE.: only eigenvalues are required.

    WANTZ

              WANTZ is LOGICAL
              = .TRUE. : the matrix of Schur vectors Z is required;
              = .FALSE.: Schur vectors are not required.

    N

              N is INTEGER
               The order of the matrix H.  N .GE. 0.

    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 and, if ILO.GT.1,
               H(ILO,ILO-1) is zero. ILO and IHI are normally set by a
               previous call to DGEBAL, and then passed to DGEHRD when the
               matrix output by DGEBAL is reduced to Hessenberg form.
               Otherwise, ILO and IHI should be set to 1 and N,
               respectively.  If N.GT.0, then 1.LE.ILO.LE.IHI.LE.N.
               If N = 0, then ILO = 1 and IHI = 0.

    H

              H is DOUBLE PRECISION array, dimension (LDH,N)
               On entry, the upper Hessenberg matrix H.
               On exit, if INFO = 0 and WANTT is .TRUE., then H contains
               the upper quasi-triangular matrix T from the Schur
               decomposition (the Schur form); 2-by-2 diagonal blocks
               (corresponding to complex conjugate pairs of eigenvalues)
               are returned in standard form, with H(i,i) = H(i+1,i+1)
               and H(i+1,i)*H(i,i+1).LT.0. If INFO = 0 and WANTT is
               .FALSE., then the contents of H are unspecified on exit.
               (The output value of H when INFO.GT.0 is given under the
               description of INFO below.)
               This subroutine may explicitly set H(i,j) = 0 for i.GT.j and
               j = 1, 2, ... ILO-1 or j = IHI+1, IHI+2, ... N.

    LDH

              LDH is INTEGER
               The leading dimension of the array H. LDH .GE. max(1,N).

    WR

              WR is DOUBLE PRECISION array, dimension (IHI)

    WI

              WI is DOUBLE PRECISION array, dimension (IHI)
               The real and imaginary parts, respectively, of the computed
               eigenvalues of H(ILO:IHI,ILO:IHI) are stored in WR(ILO:IHI)
               and WI(ILO:IHI). If two eigenvalues are computed as a
               complex conjugate pair, they are stored in consecutive
               elements of WR and WI, say the i-th and (i+1)th, with
               WI(i) .GT. 0 and WI(i+1) .LT. 0. If WANTT is .TRUE., then
               the eigenvalues are stored in the same order as on the
               diagonal of the Schur form returned in H, with
               WR(i) = H(i,i) and, if H(i:i+1,i:i+1) is a 2-by-2 diagonal
               block, WI(i) = sqrt(-H(i+1,i)*H(i,i+1)) and
               WI(i+1) = -WI(i).

    ILOZ

              ILOZ is INTEGER

    IHIZ

              IHIZ is INTEGER
               Specify the rows of Z to which transformations must be
               applied if WANTZ is .TRUE..
               1 .LE. ILOZ .LE. ILO; IHI .LE. IHIZ .LE. N.

    Z

              Z is DOUBLE PRECISION array, dimension (LDZ,IHI)
               If WANTZ is .FALSE., then Z is not referenced.
               If WANTZ is .TRUE., then Z(ILO:IHI,ILOZ:IHIZ) is
               replaced by Z(ILO:IHI,ILOZ:IHIZ)*U where U is the
               orthogonal Schur factor of H(ILO:IHI,ILO:IHI).
               (The output value of Z when INFO.GT.0 is given under
               the description of INFO below.)

    LDZ

              LDZ is INTEGER
               The leading dimension of the array Z.  if WANTZ is .TRUE.
               then LDZ.GE.MAX(1,IHIZ).  Otherwize, LDZ.GE.1.

    WORK

              WORK is DOUBLE PRECISION array, dimension LWORK
               On exit, if LWORK = -1, WORK(1) returns an estimate of
               the optimal value for LWORK.

    LWORK

              LWORK is INTEGER
               The dimension of the array WORK.  LWORK .GE. max(1,N)
               is sufficient, but LWORK typically as large as 6*N may
               be required for optimal performance.  A workspace query
               to determine the optimal workspace size is recommended.
               If LWORK = -1, then DLAQR0 does a workspace query.
               In this case, DLAQR0 checks the input parameters and
               estimates the optimal workspace size for the given
               values of N, ILO and IHI.  The estimate is returned
               in WORK(1).  No error message related to LWORK is
               issued by XERBLA.  Neither H nor Z are accessed.

    INFO

              INFO is INTEGER
                 =  0:  successful exit
               .GT. 0:  if INFO = i, DLAQR0 failed to compute all of
                    the eigenvalues.  Elements 1:ilo-1 and i+1:n of WR
                    and WI contain those eigenvalues which have been
                    successfully computed.  (Failures are rare.)
                    If INFO .GT. 0 and WANT is .FALSE., then on exit,
                    the remaining unconverged eigenvalues are the eigen-
                    values of the upper Hessenberg matrix rows and
                    columns ILO through INFO of the final, output
                    value of H.
                    If INFO .GT. 0 and WANTT is .TRUE., then on exit
               (*)  (initial value of H)*U  = U*(final value of H)
                    where U is an orthogonal matrix.  The final
                    value of H is upper Hessenberg and quasi-triangular
                    in rows and columns INFO+1 through IHI.
                    If INFO .GT. 0 and WANTZ is .TRUE., then on exit
                      (final value of Z(ILO:IHI,ILOZ:IHIZ)
                       =  (initial value of Z(ILO:IHI,ILOZ:IHIZ)*U
                    where U is the orthogonal matrix in (*) (regard-
                    less of the value of WANTT.)
                    If INFO .GT. 0 and WANTZ is .FALSE., then Z is not
                    accessed.

Contributors:
    Karen Braman and Ralph Byers, Department of Mathematics, University of Kansas, USA

References:
    K. Braman, R. Byers and R. Mathias, The Multi-Shift QR Algorithm Part I: Maintaining Well Focused Shifts, and Level 3 Performance, SIAM Journal of Matrix Analysis, volume 23, pages 929--947, 2002.
     K. Braman, R. Byers and R. Mathias, The Multi-Shift QR Algorithm Part II: Aggressive Early Deflation, SIAM Journal of Matrix Analysis, volume 23, pages 948--973, 2002.

Author:
    Univ. of Tennessee

    Univ. of California Berkeley

    Univ. of Colorado Denver

    NAG Ltd.

Date:
    December 2016

Definition at line 258 of file dlaqr0.f.

  subroutine dlaqr1 (integer N, double precision, dimension( ldh, * ) H, integer LDH, double precision SR1, double precision SI1, double precision SR2, double precision SI2, double precision, dimension( * ) V)

DLAQR1 sets a scalar multiple of the first column of the product of 2-by-2 or 3-by-3 matrix H and specified shifts.

Purpose:

          Given a 2-by-2 or 3-by-3 matrix H, DLAQR1 sets v to a
          scalar multiple of the first column of the product
          (*)  K = (H - (sr1 + i*si1)*I)*(H - (sr2 + i*si2)*I)
          scaling to avoid overflows and most underflows. It
          is assumed that either
                  1) sr1 = sr2 and si1 = -si2
              or
                  2) si1 = si2 = 0.
          This is useful for starting double implicit shift bulges
          in the QR algorithm.

Parameters:
    N

              N is INTEGER
                  Order of the matrix H. N must be either 2 or 3.

    H

              H is DOUBLE PRECISION array, dimension (LDH,N)
                  The 2-by-2 or 3-by-3 matrix H in (*).

    LDH

              LDH is INTEGER
                  The leading dimension of H as declared in
                  the calling procedure.  LDH.GE.N

    SR1

              SR1 is DOUBLE PRECISION

    SI1

              SI1 is DOUBLE PRECISION

    SR2

              SR2 is DOUBLE PRECISION

    SI2

              SI2 is DOUBLE PRECISION
                  The shifts in (*).

    V

              V is DOUBLE PRECISION array, dimension (N)
                  A scalar multiple of the first column of the
                  matrix K in (*).

Author:
    Univ. of Tennessee

    Univ. of California Berkeley

    Univ. of Colorado Denver

    NAG Ltd.

Date:
    June 2017

Contributors:
    Karen Braman and Ralph Byers, Department of Mathematics, University of Kansas, USA

Definition at line 123 of file dlaqr1.f.

  subroutine dlaqr2 (logical WANTT, logical WANTZ, integer N, integer KTOP, integer KBOT, integer NW, double precision, dimension( ldh, * ) H, integer LDH, integer ILOZ, integer IHIZ, double precision, dimension( ldz, * ) Z, integer LDZ, integer NS, integer ND, double precision, dimension( * ) SR, double precision, dimension( * ) SI, double precision, dimension( ldv, * ) V, integer LDV, integer NH, double precision, dimension( ldt, * ) T, integer LDT, integer NV, double precision, dimension( ldwv, * ) WV, integer LDWV, double precision, dimension( * ) WORK, integer LWORK)

DLAQR2 performs the orthogonal similarity transformation of a Hessenberg matrix to detect and deflate fully converged eigenvalues from a trailing principal submatrix (aggressive early deflation).

Purpose:

        DLAQR2 is identical to DLAQR3 except that it avoids
        recursion by calling DLAHQR instead of DLAQR4.
        Aggressive early deflation:
        This subroutine accepts as input an upper Hessenberg matrix
        H and performs an orthogonal similarity transformation
        designed to detect and deflate fully converged eigenvalues from
        a trailing principal submatrix.  On output H has been over-
        written by a new Hessenberg matrix that is a perturbation of
        an orthogonal similarity transformation of H.  It is to be
        hoped that the final version of H has many zero subdiagonal
        entries.

Parameters:
    WANTT

              WANTT is LOGICAL
              If .TRUE., then the Hessenberg matrix H is fully updated
              so that the quasi-triangular Schur factor may be
              computed (in cooperation with the calling subroutine).
              If .FALSE., then only enough of H is updated to preserve
              the eigenvalues.

    WANTZ

              WANTZ is LOGICAL
              If .TRUE., then the orthogonal matrix Z is updated so
              so that the orthogonal Schur factor may be computed
              (in cooperation with the calling subroutine).
              If .FALSE., then Z is not referenced.

    N

              N is INTEGER
              The order of the matrix H and (if WANTZ is .TRUE.) the
              order of the orthogonal matrix Z.

    KTOP

              KTOP is INTEGER
              It is assumed that either KTOP = 1 or H(KTOP,KTOP-1)=0.
              KBOT and KTOP together determine an isolated block
              along the diagonal of the Hessenberg matrix.

    KBOT

              KBOT is INTEGER
              It is assumed without a check that either
              KBOT = N or H(KBOT+1,KBOT)=0.  KBOT and KTOP together
              determine an isolated block along the diagonal of the
              Hessenberg matrix.

    NW

              NW is INTEGER
              Deflation window size.  1 .LE. NW .LE. (KBOT-KTOP+1).

    H

              H is DOUBLE PRECISION array, dimension (LDH,N)
              On input the initial N-by-N section of H stores the
              Hessenberg matrix undergoing aggressive early deflation.
              On output H has been transformed by an orthogonal
              similarity transformation, perturbed, and the returned
              to Hessenberg form that (it is to be hoped) has some
              zero subdiagonal entries.

    LDH

              LDH is INTEGER
              Leading dimension of H just as declared in the calling
              subroutine.  N .LE. LDH

    ILOZ

              ILOZ is INTEGER

    IHIZ

              IHIZ is INTEGER
              Specify the rows of Z to which transformations must be
              applied if WANTZ is .TRUE.. 1 .LE. ILOZ .LE. IHIZ .LE. N.

    Z

              Z is DOUBLE PRECISION array, dimension (LDZ,N)
              IF WANTZ is .TRUE., then on output, the orthogonal
              similarity transformation mentioned above has been
              accumulated into Z(ILOZ:IHIZ,ILOZ:IHIZ) from the right.
              If WANTZ is .FALSE., then Z is unreferenced.

    LDZ

              LDZ is INTEGER
              The leading dimension of Z just as declared in the
              calling subroutine.  1 .LE. LDZ.

    NS

              NS is INTEGER
              The number of unconverged (ie approximate) eigenvalues
              returned in SR and SI that may be used as shifts by the
              calling subroutine.

    ND

              ND is INTEGER
              The number of converged eigenvalues uncovered by this
              subroutine.

    SR

              SR is DOUBLE PRECISION array, dimension (KBOT)

    SI

              SI is DOUBLE PRECISION array, dimension (KBOT)
              On output, the real and imaginary parts of approximate
              eigenvalues that may be used for shifts are stored in
              SR(KBOT-ND-NS+1) through SR(KBOT-ND) and
              SI(KBOT-ND-NS+1) through SI(KBOT-ND), respectively.
              The real and imaginary parts of converged eigenvalues
              are stored in SR(KBOT-ND+1) through SR(KBOT) and
              SI(KBOT-ND+1) through SI(KBOT), respectively.

    V

              V is DOUBLE PRECISION array, dimension (LDV,NW)
              An NW-by-NW work array.

    LDV

              LDV is INTEGER
              The leading dimension of V just as declared in the
              calling subroutine.  NW .LE. LDV

    NH

              NH is INTEGER
              The number of columns of T.  NH.GE.NW.

    T

              T is DOUBLE PRECISION array, dimension (LDT,NW)

    LDT

              LDT is INTEGER
              The leading dimension of T just as declared in the
              calling subroutine.  NW .LE. LDT

    NV

              NV is INTEGER
              The number of rows of work array WV available for
              workspace.  NV.GE.NW.

    WV

              WV is DOUBLE PRECISION array, dimension (LDWV,NW)

    LDWV

              LDWV is INTEGER
              The leading dimension of W just as declared in the
              calling subroutine.  NW .LE. LDV

    WORK

              WORK is DOUBLE PRECISION array, dimension (LWORK)
              On exit, WORK(1) is set to an estimate of the optimal value
              of LWORK for the given values of N, NW, KTOP and KBOT.

    LWORK

              LWORK is INTEGER
              The dimension of the work array WORK.  LWORK = 2*NW
              suffices, but greater efficiency may result from larger
              values of LWORK.
              If LWORK = -1, then a workspace query is assumed; DLAQR2
              only estimates the optimal workspace size for the given
              values of N, NW, KTOP and KBOT.  The estimate is returned
              in WORK(1).  No error message related to LWORK is issued
              by XERBLA.  Neither H nor Z are accessed.

Author:
    Univ. of Tennessee

    Univ. of California Berkeley

    Univ. of Colorado Denver

    NAG Ltd.

Date:
    June 2017

Contributors:
    Karen Braman and Ralph Byers, Department of Mathematics, University of Kansas, USA

Definition at line 280 of file dlaqr2.f.

  subroutine dlaqr3 (logical WANTT, logical WANTZ, integer N, integer KTOP, integer KBOT, integer NW, double precision, dimension( ldh, * ) H, integer LDH, integer ILOZ, integer IHIZ, double precision, dimension( ldz, * ) Z, integer LDZ, integer NS, integer ND, double precision, dimension( * ) SR, double precision, dimension( * ) SI, double precision, dimension( ldv, * ) V, integer LDV, integer NH, double precision, dimension( ldt, * ) T, integer LDT, integer NV, double precision, dimension( ldwv, * ) WV, integer LDWV, double precision, dimension( * ) WORK, integer LWORK)

DLAQR3 performs the orthogonal similarity transformation of a Hessenberg matrix to detect and deflate fully converged eigenvalues from a trailing principal submatrix (aggressive early deflation).

Purpose:

        Aggressive early deflation:
        DLAQR3 accepts as input an upper Hessenberg matrix
        H and performs an orthogonal similarity transformation
        designed to detect and deflate fully converged eigenvalues from
        a trailing principal submatrix.  On output H has been over-
        written by a new Hessenberg matrix that is a perturbation of
        an orthogonal similarity transformation of H.  It is to be
        hoped that the final version of H has many zero subdiagonal
        entries.

Parameters:
    WANTT

              WANTT is LOGICAL
              If .TRUE., then the Hessenberg matrix H is fully updated
              so that the quasi-triangular Schur factor may be
              computed (in cooperation with the calling subroutine).
              If .FALSE., then only enough of H is updated to preserve
              the eigenvalues.

    WANTZ

              WANTZ is LOGICAL
              If .TRUE., then the orthogonal matrix Z is updated so
              so that the orthogonal Schur factor may be computed
              (in cooperation with the calling subroutine).
              If .FALSE., then Z is not referenced.

    N

              N is INTEGER
              The order of the matrix H and (if WANTZ is .TRUE.) the
              order of the orthogonal matrix Z.

    KTOP

              KTOP is INTEGER
              It is assumed that either KTOP = 1 or H(KTOP,KTOP-1)=0.
              KBOT and KTOP together determine an isolated block
              along the diagonal of the Hessenberg matrix.

    KBOT

              KBOT is INTEGER
              It is assumed without a check that either
              KBOT = N or H(KBOT+1,KBOT)=0.  KBOT and KTOP together
              determine an isolated block along the diagonal of the
              Hessenberg matrix.

    NW

              NW is INTEGER
              Deflation window size.  1 .LE. NW .LE. (KBOT-KTOP+1).

    H

              H is DOUBLE PRECISION array, dimension (LDH,N)
              On input the initial N-by-N section of H stores the
              Hessenberg matrix undergoing aggressive early deflation.
              On output H has been transformed by an orthogonal
              similarity transformation, perturbed, and the returned
              to Hessenberg form that (it is to be hoped) has some
              zero subdiagonal entries.

    LDH

              LDH is INTEGER
              Leading dimension of H just as declared in the calling
              subroutine.  N .LE. LDH

    ILOZ

              ILOZ is INTEGER

    IHIZ

              IHIZ is INTEGER
              Specify the rows of Z to which transformations must be
              applied if WANTZ is .TRUE.. 1 .LE. ILOZ .LE. IHIZ .LE. N.

    Z

              Z is DOUBLE PRECISION array, dimension (LDZ,N)
              IF WANTZ is .TRUE., then on output, the orthogonal
              similarity transformation mentioned above has been
              accumulated into Z(ILOZ:IHIZ,ILOZ:IHIZ) from the right.
              If WANTZ is .FALSE., then Z is unreferenced.

    LDZ

              LDZ is INTEGER
              The leading dimension of Z just as declared in the
              calling subroutine.  1 .LE. LDZ.

    NS

              NS is INTEGER
              The number of unconverged (ie approximate) eigenvalues
              returned in SR and SI that may be used as shifts by the
              calling subroutine.

    ND

              ND is INTEGER
              The number of converged eigenvalues uncovered by this
              subroutine.

    SR

              SR is DOUBLE PRECISION array, dimension (KBOT)

    SI

              SI is DOUBLE PRECISION array, dimension (KBOT)
              On output, the real and imaginary parts of approximate
              eigenvalues that may be used for shifts are stored in
              SR(KBOT-ND-NS+1) through SR(KBOT-ND) and
              SI(KBOT-ND-NS+1) through SI(KBOT-ND), respectively.
              The real and imaginary parts of converged eigenvalues
              are stored in SR(KBOT-ND+1) through SR(KBOT) and
              SI(KBOT-ND+1) through SI(KBOT), respectively.

    V

              V is DOUBLE PRECISION array, dimension (LDV,NW)
              An NW-by-NW work array.

    LDV

              LDV is INTEGER
              The leading dimension of V just as declared in the
              calling subroutine.  NW .LE. LDV

    NH

              NH is INTEGER
              The number of columns of T.  NH.GE.NW.

    T

              T is DOUBLE PRECISION array, dimension (LDT,NW)

    LDT

              LDT is INTEGER
              The leading dimension of T just as declared in the
              calling subroutine.  NW .LE. LDT

    NV

              NV is INTEGER
              The number of rows of work array WV available for
              workspace.  NV.GE.NW.

    WV

              WV is DOUBLE PRECISION array, dimension (LDWV,NW)

    LDWV

              LDWV is INTEGER
              The leading dimension of W just as declared in the
              calling subroutine.  NW .LE. LDV

    WORK

              WORK is DOUBLE PRECISION array, dimension (LWORK)
              On exit, WORK(1) is set to an estimate of the optimal value
              of LWORK for the given values of N, NW, KTOP and KBOT.

    LWORK

              LWORK is INTEGER
              The dimension of the work array WORK.  LWORK = 2*NW
              suffices, but greater efficiency may result from larger
              values of LWORK.
              If LWORK = -1, then a workspace query is assumed; DLAQR3
              only estimates the optimal workspace size for the given
              values of N, NW, KTOP and KBOT.  The estimate is returned
              in WORK(1).  No error message related to LWORK is issued
              by XERBLA.  Neither H nor Z are accessed.

Author:
    Univ. of Tennessee

    Univ. of California Berkeley

    Univ. of Colorado Denver

    NAG Ltd.

Date:
    June 2016

Contributors:
    Karen Braman and Ralph Byers, Department of Mathematics, University of Kansas, USA

Definition at line 277 of file dlaqr3.f.

  subroutine dlaqr4 (logical WANTT, logical WANTZ, integer N, integer ILO, integer IHI, double precision, dimension( ldh, * ) H, integer LDH, double precision, dimension( * ) WR, double precision, dimension( * ) WI, integer ILOZ, integer IHIZ, double precision, dimension( ldz, * ) Z, integer LDZ, double precision, dimension( * ) WORK, integer LWORK, integer INFO)

DLAQR4 computes the eigenvalues of a Hessenberg matrix, and optionally the matrices from the Schur decomposition.

Purpose:

        DLAQR4 implements one level of recursion for DLAQR0.
        It is a complete implementation of the small bulge multi-shift
        QR algorithm.  It may be called by DLAQR0 and, for large enough
        deflation window size, it may be called by DLAQR3.  This
        subroutine is identical to DLAQR0 except that it calls DLAQR2
        instead of DLAQR3.
        DLAQR4 computes the eigenvalues of a Hessenberg matrix H
        and, optionally, the matrices T and Z from the Schur decomposition
        H = Z T Z**T, where T is an upper quasi-triangular matrix (the
        Schur form), and Z is the orthogonal matrix of Schur vectors.
        Optionally Z may be postmultiplied into an input orthogonal
        matrix Q so that this routine can give the Schur factorization
        of a matrix A which has been reduced to the Hessenberg form H
        by the orthogonal matrix Q:  A = Q*H*Q**T = (QZ)*T*(QZ)**T.

Parameters:
    WANTT

              WANTT is LOGICAL
              = .TRUE. : the full Schur form T is required;
              = .FALSE.: only eigenvalues are required.

    WANTZ

              WANTZ is LOGICAL
              = .TRUE. : the matrix of Schur vectors Z is required;
              = .FALSE.: Schur vectors are not required.

    N

              N is INTEGER
               The order of the matrix H.  N .GE. 0.

    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 and, if ILO.GT.1,
               H(ILO,ILO-1) is zero. ILO and IHI are normally set by a
               previous call to DGEBAL, and then passed to DGEHRD when the
               matrix output by DGEBAL is reduced to Hessenberg form.
               Otherwise, ILO and IHI should be set to 1 and N,
               respectively.  If N.GT.0, then 1.LE.ILO.LE.IHI.LE.N.
               If N = 0, then ILO = 1 and IHI = 0.

    H

              H is DOUBLE PRECISION array, dimension (LDH,N)
               On entry, the upper Hessenberg matrix H.
               On exit, if INFO = 0 and WANTT is .TRUE., then H contains
               the upper quasi-triangular matrix T from the Schur
               decomposition (the Schur form); 2-by-2 diagonal blocks
               (corresponding to complex conjugate pairs of eigenvalues)
               are returned in standard form, with H(i,i) = H(i+1,i+1)
               and H(i+1,i)*H(i,i+1).LT.0. If INFO = 0 and WANTT is
               .FALSE., then the contents of H are unspecified on exit.
               (The output value of H when INFO.GT.0 is given under the
               description of INFO below.)
               This subroutine may explicitly set H(i,j) = 0 for i.GT.j and
               j = 1, 2, ... ILO-1 or j = IHI+1, IHI+2, ... N.

    LDH

              LDH is INTEGER
               The leading dimension of the array H. LDH .GE. max(1,N).

    WR

              WR is DOUBLE PRECISION array, dimension (IHI)

    WI

              WI is DOUBLE PRECISION array, dimension (IHI)
               The real and imaginary parts, respectively, of the computed
               eigenvalues of H(ILO:IHI,ILO:IHI) are stored in WR(ILO:IHI)
               and WI(ILO:IHI). If two eigenvalues are computed as a
               complex conjugate pair, they are stored in consecutive
               elements of WR and WI, say the i-th and (i+1)th, with
               WI(i) .GT. 0 and WI(i+1) .LT. 0. If WANTT is .TRUE., then
               the eigenvalues are stored in the same order as on the
               diagonal of the Schur form returned in H, with
               WR(i) = H(i,i) and, if H(i:i+1,i:i+1) is a 2-by-2 diagonal
               block, WI(i) = sqrt(-H(i+1,i)*H(i,i+1)) and
               WI(i+1) = -WI(i).

    ILOZ

              ILOZ is INTEGER

    IHIZ

              IHIZ is INTEGER
               Specify the rows of Z to which transformations must be
               applied if WANTZ is .TRUE..
               1 .LE. ILOZ .LE. ILO; IHI .LE. IHIZ .LE. N.

    Z

              Z is DOUBLE PRECISION array, dimension (LDZ,IHI)
               If WANTZ is .FALSE., then Z is not referenced.
               If WANTZ is .TRUE., then Z(ILO:IHI,ILOZ:IHIZ) is
               replaced by Z(ILO:IHI,ILOZ:IHIZ)*U where U is the
               orthogonal Schur factor of H(ILO:IHI,ILO:IHI).
               (The output value of Z when INFO.GT.0 is given under
               the description of INFO below.)

    LDZ

              LDZ is INTEGER
               The leading dimension of the array Z.  if WANTZ is .TRUE.
               then LDZ.GE.MAX(1,IHIZ).  Otherwize, LDZ.GE.1.

    WORK

              WORK is DOUBLE PRECISION array, dimension LWORK
               On exit, if LWORK = -1, WORK(1) returns an estimate of
               the optimal value for LWORK.

    LWORK

              LWORK is INTEGER
               The dimension of the array WORK.  LWORK .GE. max(1,N)
               is sufficient, but LWORK typically as large as 6*N may
               be required for optimal performance.  A workspace query
               to determine the optimal workspace size is recommended.
               If LWORK = -1, then DLAQR4 does a workspace query.
               In this case, DLAQR4 checks the input parameters and
               estimates the optimal workspace size for the given
               values of N, ILO and IHI.  The estimate is returned
               in WORK(1).  No error message related to LWORK is
               issued by XERBLA.  Neither H nor Z are accessed.

    INFO

              INFO is INTEGER
                 =  0:  successful exit
               .GT. 0:  if INFO = i, DLAQR4 failed to compute all of
                    the eigenvalues.  Elements 1:ilo-1 and i+1:n of WR
                    and WI contain those eigenvalues which have been
                    successfully computed.  (Failures are rare.)
                    If INFO .GT. 0 and WANT is .FALSE., then on exit,
                    the remaining unconverged eigenvalues are the eigen-
                    values of the upper Hessenberg matrix rows and
                    columns ILO through INFO of the final, output
                    value of H.
                    If INFO .GT. 0 and WANTT is .TRUE., then on exit
               (*)  (initial value of H)*U  = U*(final value of H)
                    where U is a orthogonal matrix.  The final
                    value of  H is upper Hessenberg and triangular in
                    rows and columns INFO+1 through IHI.
                    If INFO .GT. 0 and WANTZ is .TRUE., then on exit
                      (final value of Z(ILO:IHI,ILOZ:IHIZ)
                       =  (initial value of Z(ILO:IHI,ILOZ:IHIZ)*U
                    where U is the orthogonal matrix in (*) (regard-
                    less of the value of WANTT.)
                    If INFO .GT. 0 and WANTZ is .FALSE., then Z is not
                    accessed.

Author:
    Univ. of Tennessee

    Univ. of California Berkeley

    Univ. of Colorado Denver

    NAG Ltd.

Date:
    December 2016

Contributors:
    Karen Braman and Ralph Byers, Department of Mathematics, University of Kansas, USA

References:
    K. Braman, R. Byers and R. Mathias, The Multi-Shift QR Algorithm Part I: Maintaining Well Focused Shifts, and Level 3 Performance, SIAM Journal of Matrix Analysis, volume 23, pages 929--947, 2002.
     K. Braman, R. Byers and R. Mathias, The Multi-Shift QR Algorithm Part II: Aggressive Early Deflation, SIAM Journal of Matrix Analysis, volume 23, pages 948--973, 2002.

Definition at line 265 of file dlaqr4.f.

  subroutine dlaqr5 (logical WANTT, logical WANTZ, integer KACC22, integer N, integer KTOP, integer KBOT, integer NSHFTS, double precision, dimension( * ) SR, double precision, dimension( * ) SI, double precision, dimension( ldh, * ) H, integer LDH, integer ILOZ, integer IHIZ, double precision, dimension( ldz, * ) Z, integer LDZ, double precision, dimension( ldv, * ) V, integer LDV, double precision, dimension( ldu, * ) U, integer LDU, integer NV, double precision, dimension( ldwv, * ) WV, integer LDWV, integer NH, double precision, dimension( ldwh, * ) WH, integer LDWH)

DLAQR5 performs a single small-bulge multi-shift QR sweep.

Purpose:

        DLAQR5, called by DLAQR0, performs a
        single small-bulge multi-shift QR sweep.

Parameters:
    WANTT

              WANTT is LOGICAL
                 WANTT = .true. if the quasi-triangular Schur factor
                 is being computed.  WANTT is set to .false. otherwise.

    WANTZ

              WANTZ is LOGICAL
                 WANTZ = .true. if the orthogonal Schur factor is being
                 computed.  WANTZ is set to .false. otherwise.

    KACC22

              KACC22 is INTEGER with value 0, 1, or 2.
                 Specifies the computation mode of far-from-diagonal
                 orthogonal updates.
            = 0: DLAQR5 does not accumulate reflections and does not
                 use matrix-matrix multiply to update far-from-diagonal
                 matrix entries.
            = 1: DLAQR5 accumulates reflections and uses matrix-matrix
                 multiply to update the far-from-diagonal matrix entries.
            = 2: DLAQR5 accumulates reflections, uses matrix-matrix
                 multiply to update the far-from-diagonal matrix entries,
                 and takes advantage of 2-by-2 block structure during
                 matrix multiplies.

    N

              N is INTEGER
                 N is the order of the Hessenberg matrix H upon which this
                 subroutine operates.

    KTOP

              KTOP is INTEGER

    KBOT

              KBOT is INTEGER
                 These are the first and last rows and columns of an
                 isolated diagonal block upon which the QR sweep is to be
                 applied. It is assumed without a check that
                           either KTOP = 1  or   H(KTOP,KTOP-1) = 0
                 and
                           either KBOT = N  or   H(KBOT+1,KBOT) = 0.

    NSHFTS

              NSHFTS is INTEGER
                 NSHFTS gives the number of simultaneous shifts.  NSHFTS
                 must be positive and even.

    SR

              SR is DOUBLE PRECISION array, dimension (NSHFTS)

    SI

              SI is DOUBLE PRECISION array, dimension (NSHFTS)
                 SR contains the real parts and SI contains the imaginary
                 parts of the NSHFTS shifts of origin that define the
                 multi-shift QR sweep.  On output SR and SI may be
                 reordered.

    H

              H is DOUBLE PRECISION array, dimension (LDH,N)
                 On input H contains a Hessenberg matrix.  On output a
                 multi-shift QR sweep with shifts SR(J)+i*SI(J) is applied
                 to the isolated diagonal block in rows and columns KTOP
                 through KBOT.

    LDH

              LDH is INTEGER
                 LDH is the leading dimension of H just as declared in the
                 calling procedure.  LDH.GE.MAX(1,N).

    ILOZ

              ILOZ is INTEGER

    IHIZ

              IHIZ is INTEGER
                 Specify the rows of Z to which transformations must be
                 applied if WANTZ is .TRUE.. 1 .LE. ILOZ .LE. IHIZ .LE. N

    Z

              Z is DOUBLE PRECISION array, dimension (LDZ,IHIZ)
                 If WANTZ = .TRUE., then the QR Sweep orthogonal
                 similarity transformation is accumulated into
                 Z(ILOZ:IHIZ,ILOZ:IHIZ) from the right.
                 If WANTZ = .FALSE., then Z is unreferenced.

    LDZ

              LDZ is INTEGER
                 LDA is the leading dimension of Z just as declared in
                 the calling procedure. LDZ.GE.N.

    V

              V is DOUBLE PRECISION array, dimension (LDV,NSHFTS/2)

    LDV

              LDV is INTEGER
                 LDV is the leading dimension of V as declared in the
                 calling procedure.  LDV.GE.3.

    U

              U is DOUBLE PRECISION array, dimension (LDU,3*NSHFTS-3)

    LDU

              LDU is INTEGER
                 LDU is the leading dimension of U just as declared in the
                 in the calling subroutine.  LDU.GE.3*NSHFTS-3.

    NH

              NH is INTEGER
                 NH is the number of columns in array WH available for
                 workspace. NH.GE.1.

    WH

              WH is DOUBLE PRECISION array, dimension (LDWH,NH)

    LDWH

              LDWH is INTEGER
                 Leading dimension of WH just as declared in the
                 calling procedure.  LDWH.GE.3*NSHFTS-3.

    NV

              NV is INTEGER
                 NV is the number of rows in WV agailable for workspace.
                 NV.GE.1.

    WV

              WV is DOUBLE PRECISION array, dimension (LDWV,3*NSHFTS-3)

    LDWV

              LDWV is INTEGER
                 LDWV is the leading dimension of WV as declared in the
                 in the calling subroutine.  LDWV.GE.NV.

Author:
    Univ. of Tennessee

    Univ. of California Berkeley

    Univ. of Colorado Denver

    NAG Ltd.

Date:
    June 2016

Contributors:
    Karen Braman and Ralph Byers, Department of Mathematics, University of Kansas, USA

References:
    K. Braman, R. Byers and R. Mathias, The Multi-Shift QR Algorithm Part I: Maintaining Well Focused Shifts, and Level 3 Performance, SIAM Journal of Matrix Analysis, volume 23, pages 929--947, 2002.

Definition at line 259 of file dlaqr5.f.

  subroutine dlaqsb (character UPLO, integer N, integer KD, double precision, dimension( ldab, * ) AB, integer LDAB, double precision, dimension( * ) S, double precision SCOND, double precision AMAX, character EQUED)

DLAQSB scales a symmetric/Hermitian band matrix, using scaling factors computed by spbequ.

Purpose:

     DLAQSB equilibrates a symmetric band matrix A using the scaling
     factors in the vector S.

Parameters:
    UPLO

              UPLO is CHARACTER*1
              Specifies whether the upper or lower triangular part of the
              symmetric matrix A is stored.
              = 'U':  Upper triangular
              = 'L':  Lower triangular

    N

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

    KD

              KD is INTEGER
              The number of super-diagonals of the matrix A if UPLO = 'U',
              or the number of sub-diagonals if UPLO = 'L'.  KD >= 0.

    AB

              AB is DOUBLE PRECISION array, dimension (LDAB,N)
              On entry, the upper or lower triangle of the symmetric band
              matrix A, stored in the first KD+1 rows of the array.  The
              j-th column of A is stored in the j-th column of the array AB
              as follows:
              if UPLO = 'U', AB(kd+1+i-j,j) = A(i,j) for max(1,j-kd)<=i<=j;
              if UPLO = 'L', AB(1+i-j,j)    = A(i,j) for j<=i<=min(n,j+kd).
              On exit, if INFO = 0, the triangular factor U or L from the
              Cholesky factorization A = U**T*U or A = L*L**T of the band
              matrix A, in the same storage format as A.

    LDAB

              LDAB is INTEGER
              The leading dimension of the array AB.  LDAB >= KD+1.

    S

              S is DOUBLE PRECISION array, dimension (N)
              The scale factors for A.

    SCOND

              SCOND is DOUBLE PRECISION
              Ratio of the smallest S(i) to the largest S(i).

    AMAX

              AMAX is DOUBLE PRECISION
              Absolute value of largest matrix entry.

    EQUED

              EQUED is CHARACTER*1
              Specifies whether or not equilibration was done.
              = 'N':  No equilibration.
              = 'Y':  Equilibration was done, i.e., A has been replaced by
                      diag(S) * A * diag(S).

Internal Parameters:

      THRESH is a threshold value used to decide if scaling should be done
      based on the ratio of the scaling factors.  If SCOND < THRESH,
      scaling is done.
      LARGE and SMALL are threshold values used to decide if scaling should
      be done based on the absolute size of the largest matrix element.
      If AMAX > LARGE or AMAX < SMALL, scaling is done.

Author:
    Univ. of Tennessee

    Univ. of California Berkeley

    Univ. of Colorado Denver

    NAG Ltd.

Date:
    December 2016

Definition at line 142 of file dlaqsb.f.

  subroutine dlaqsp (character UPLO, integer N, double precision, dimension( * ) AP, double precision, dimension( * ) S, double precision SCOND, double precision AMAX, character EQUED)

DLAQSP scales a symmetric/Hermitian matrix in packed storage, using scaling factors computed by sppequ.

Purpose:

     DLAQSP equilibrates a symmetric matrix A using the scaling factors
     in the vector S.

Parameters:
    UPLO

              UPLO is CHARACTER*1
              Specifies whether the upper or lower triangular part of the
              symmetric matrix A is stored.
              = 'U':  Upper triangular
              = 'L':  Lower triangular

    N

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

    AP

              AP is DOUBLE PRECISION array, dimension (N*(N+1)/2)
              On entry, the upper or lower triangle of the symmetric matrix
              A, packed columnwise in a linear array.  The j-th column of A
              is stored in the array AP as follows:
              if UPLO = 'U', AP(i + (j-1)*j/2) = A(i,j) for 1<=i<=j;
              if UPLO = 'L', AP(i + (j-1)*(2n-j)/2) = A(i,j) for j<=i<=n.
              On exit, the equilibrated matrix:  diag(S) * A * diag(S), in
              the same storage format as A.

    S

              S is DOUBLE PRECISION array, dimension (N)
              The scale factors for A.

    SCOND

              SCOND is DOUBLE PRECISION
              Ratio of the smallest S(i) to the largest S(i).

    AMAX

              AMAX is DOUBLE PRECISION
              Absolute value of largest matrix entry.

    EQUED

              EQUED is CHARACTER*1
              Specifies whether or not equilibration was done.
              = 'N':  No equilibration.
              = 'Y':  Equilibration was done, i.e., A has been replaced by
                      diag(S) * A * diag(S).

Internal Parameters:

      THRESH is a threshold value used to decide if scaling should be done
      based on the ratio of the scaling factors.  If SCOND < THRESH,
      scaling is done.
      LARGE and SMALL are threshold values used to decide if scaling should
      be done based on the absolute size of the largest matrix element.
      If AMAX > LARGE or AMAX < SMALL, scaling is done.

Author:
    Univ. of Tennessee

    Univ. of California Berkeley

    Univ. of Colorado Denver

    NAG Ltd.

Date:
    December 2016

Definition at line 127 of file dlaqsp.f.

  subroutine dlaqtr (logical LTRAN, logical LREAL, integer N, double precision, dimension( ldt, * ) T, integer LDT, double precision, dimension( * ) B, double precision W, double precision SCALE, double precision, dimension( * ) X, double precision, dimension( * ) WORK, integer INFO)

DLAQTR solves a real quasi-triangular system of equations, or a complex quasi-triangular system of special form, in real arithmetic.

Purpose:

     DLAQTR solves the real quasi-triangular system
                  op(T)*p = scale*c,               if LREAL = .TRUE.
     or the complex quasi-triangular systems
                op(T + iB)*(p+iq) = scale*(c+id),  if LREAL = .FALSE.
     in real arithmetic, where T is upper quasi-triangular.
     If LREAL = .FALSE., then the first diagonal block of T must be
     1 by 1, B is the specially structured matrix
                    B = [ b(1) b(2) ... b(n) ]
                        [       w            ]
                        [           w        ]
                        [              .     ]
                        [                 w  ]
     op(A) = A or A**T, A**T denotes the transpose of
     matrix A.
     On input, X = [ c ].  On output, X = [ p ].
                   [ d ]                  [ q ]
     This subroutine is designed for the condition number estimation
     in routine DTRSNA.

Parameters:
    LTRAN

              LTRAN is LOGICAL
              On entry, LTRAN specifies the option of conjugate transpose:
                 = .FALSE.,    op(T+i*B) = T+i*B,
                 = .TRUE.,     op(T+i*B) = (T+i*B)**T.

    LREAL

              LREAL is LOGICAL
              On entry, LREAL specifies the input matrix structure:
                 = .FALSE.,    the input is complex
                 = .TRUE.,     the input is real

    N

              N is INTEGER
              On entry, N specifies the order of T+i*B. N >= 0.

    T

              T is DOUBLE PRECISION array, dimension (LDT,N)
              On entry, T contains a matrix in Schur canonical form.
              If LREAL = .FALSE., then the first diagonal block of T mu
              be 1 by 1.

    LDT

              LDT is INTEGER
              The leading dimension of the matrix T. LDT >= max(1,N).

    B

              B is DOUBLE PRECISION array, dimension (N)
              On entry, B contains the elements to form the matrix
              B as described above.
              If LREAL = .TRUE., B is not referenced.

    W

              W is DOUBLE PRECISION
              On entry, W is the diagonal element of the matrix B.
              If LREAL = .TRUE., W is not referenced.

    SCALE

              SCALE is DOUBLE PRECISION
              On exit, SCALE is the scale factor.

    X

              X is DOUBLE PRECISION array, dimension (2*N)
              On entry, X contains the right hand side of the system.
              On exit, X is overwritten by the solution.

    WORK

              WORK is DOUBLE PRECISION array, dimension (N)

    INFO

              INFO is INTEGER
              On exit, INFO is set to
                 0: successful exit.
                   1: the some diagonal 1 by 1 block has been perturbed by
                      a small number SMIN to keep nonsingularity.
                   2: the some diagonal 2 by 2 block has been perturbed by
                      a small number in DLALN2 to keep nonsingularity.
              NOTE: In the interests of speed, this routine does not
                    check the inputs for errors.

Author:
    Univ. of Tennessee

    Univ. of California Berkeley

    Univ. of Colorado Denver

    NAG Ltd.

Date:
    December 2016

Definition at line 167 of file dlaqtr.f.

  subroutine dlar1v (integer N, integer B1, integer BN, double precision LAMBDA, double precision, dimension( * ) D, double precision, dimension( * ) L, double precision, dimension( * ) LD, double precision, dimension( * ) LLD, double precision PIVMIN, double precision GAPTOL, double precision, dimension( * ) Z, logical WANTNC, integer NEGCNT, double precision ZTZ, double precision MINGMA, integer R, integer, dimension( * ) ISUPPZ, double precision NRMINV, double precision RESID, double precision RQCORR, double precision, dimension( * ) WORK)

DLAR1V computes the (scaled) r-th column of the inverse of the submatrix in rows b1 through bn of the tridiagonal matrix LDLT - λI.

Purpose:

     DLAR1V computes the (scaled) r-th column of the inverse of
     the sumbmatrix in rows B1 through BN of the tridiagonal matrix
     L D L**T - sigma I. When sigma is close to an eigenvalue, the
     computed vector is an accurate eigenvector. Usually, r corresponds
     to the index where the eigenvector is largest in magnitude.
     The following steps accomplish this computation :
     (a) Stationary qd transform,  L D L**T - sigma I = L(+) D(+) L(+)**T,
     (b) Progressive qd transform, L D L**T - sigma I = U(-) D(-) U(-)**T,
     (c) Computation of the diagonal elements of the inverse of
         L D L**T - sigma I by combining the above transforms, and choosing
         r as the index where the diagonal of the inverse is (one of the)
         largest in magnitude.
     (d) Computation of the (scaled) r-th column of the inverse using the
         twisted factorization obtained by combining the top part of the
         the stationary and the bottom part of the progressive transform.

Parameters:
    N

              N is INTEGER
               The order of the matrix L D L**T.

    B1

              B1 is INTEGER
               First index of the submatrix of L D L**T.

    BN

              BN is INTEGER
               Last index of the submatrix of L D L**T.

    LAMBDA

              LAMBDA is DOUBLE PRECISION
               The shift. In order to compute an accurate eigenvector,
               LAMBDA should be a good approximation to an eigenvalue
               of L D L**T.

    L

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

    D

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

    LD

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

    LLD

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

    PIVMIN

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

    GAPTOL

              GAPTOL is DOUBLE PRECISION
               Tolerance that indicates when eigenvector entries are negligible
               w.r.t. their contribution to the residual.

    Z

              Z is DOUBLE PRECISION array, dimension (N)
               On input, all entries of Z must be set to 0.
               On output, Z contains the (scaled) r-th column of the
               inverse. The scaling is such that Z(R) equals 1.

    WANTNC

              WANTNC is LOGICAL
               Specifies whether NEGCNT has to be computed.

    NEGCNT

              NEGCNT is INTEGER
               If WANTNC is .TRUE. then NEGCNT = the number of pivots < pivmin
               in the  matrix factorization L D L**T, and NEGCNT = -1 otherwise.

    ZTZ

              ZTZ is DOUBLE PRECISION
               The square of the 2-norm of Z.

    MINGMA

              MINGMA is DOUBLE PRECISION
               The reciprocal of the largest (in magnitude) diagonal
               element of the inverse of L D L**T - sigma I.

    R

              R is INTEGER
               The twist index for the twisted factorization used to
               compute Z.
               On input, 0 <= R <= N. If R is input as 0, R is set to
               the index where (L D L**T - sigma I)^{-1} is largest
               in magnitude. If 1 <= R <= N, R is unchanged.
               On output, R contains the twist index used to compute Z.
               Ideally, R designates the position of the maximum entry in the
               eigenvector.

    ISUPPZ

              ISUPPZ is INTEGER array, dimension (2)
               The support of the vector in Z, i.e., the vector Z is
               nonzero only in elements ISUPPZ(1) through ISUPPZ( 2 ).

    NRMINV

              NRMINV is DOUBLE PRECISION
               NRMINV = 1/SQRT( ZTZ )

    RESID

              RESID is DOUBLE PRECISION
               The residual of the FP vector.
               RESID = ABS( MINGMA )/SQRT( ZTZ )

    RQCORR

              RQCORR is DOUBLE PRECISION
               The Rayleigh Quotient correction to LAMBDA.
               RQCORR = MINGMA*TMP

    WORK

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

Author:
    Univ. of Tennessee

    Univ. of California Berkeley

    Univ. of Colorado Denver

    NAG Ltd.

Date:
    December 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 232 of file dlar1v.f.

  subroutine dlar2v (integer N, double precision, dimension( * ) X, double precision, dimension( * ) Y, double precision, dimension( * ) Z, integer INCX, double precision, dimension( * ) C, double precision, dimension( * ) S, integer INCC)

DLAR2V applies a vector of plane rotations with real cosines and real sines from both sides to a sequence of 2-by-2 symmetric/Hermitian matrices.

Purpose:

     DLAR2V applies a vector of real plane rotations from both sides to
     a sequence of 2-by-2 real symmetric matrices, defined by the elements
     of the vectors x, y and z. For i = 1,2,...,n
        ( x(i)  z(i) ) := (  c(i)  s(i) ) ( x(i)  z(i) ) ( c(i) -s(i) )
        ( z(i)  y(i) )    ( -s(i)  c(i) ) ( z(i)  y(i) ) ( s(i)  c(i) )

Parameters:
    N

              N is INTEGER
              The number of plane rotations to be applied.

    X

              X is DOUBLE PRECISION array,
                             dimension (1+(N-1)*INCX)
              The vector x.

    Y

              Y is DOUBLE PRECISION array,
                             dimension (1+(N-1)*INCX)
              The vector y.

    Z

              Z is DOUBLE PRECISION array,
                             dimension (1+(N-1)*INCX)
              The vector z.

    INCX

              INCX is INTEGER
              The increment between elements of X, Y and Z. INCX > 0.

    C

              C is DOUBLE PRECISION array, dimension (1+(N-1)*INCC)
              The cosines of the plane rotations.

    S

              S is DOUBLE PRECISION array, dimension (1+(N-1)*INCC)
              The sines of the plane rotations.

    INCC

              INCC is INTEGER
              The increment between elements of C and S. INCC > 0.

Author:
    Univ. of Tennessee

    Univ. of California Berkeley

    Univ. of Colorado Denver

    NAG Ltd.

Date:
    December 2016

Definition at line 112 of file dlar2v.f.

  subroutine dlarf (character SIDE, integer M, integer N, double precision, dimension( * ) V, integer INCV, double precision TAU, double precision, dimension( ldc, * ) C, integer LDC, double precision, dimension( * ) WORK)

DLARF applies an elementary reflector to a general rectangular matrix.

Purpose:

     DLARF applies a real elementary reflector H to a real m by n matrix
     C, from either the left or the right. H is represented in the form
           H = I - tau * v * v**T
     where tau is a real scalar and v is a real vector.
     If tau = 0, then H is taken to be the unit matrix.

Parameters:
    SIDE

              SIDE is CHARACTER*1
              = 'L': form  H * C
              = 'R': form  C * H

    M

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

    N

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

    V

              V is DOUBLE PRECISION array, dimension
                         (1 + (M-1)*abs(INCV)) if SIDE = 'L'
                      or (1 + (N-1)*abs(INCV)) if SIDE = 'R'
              The vector v in the representation of H. V is not used if
              TAU = 0.

    INCV

              INCV is INTEGER
              The increment between elements of v. INCV <> 0.

    TAU

              TAU is DOUBLE PRECISION
              The value tau in the representation of H.

    C

              C is DOUBLE PRECISION array, dimension (LDC,N)
              On entry, the m by n matrix C.
              On exit, C is overwritten by the matrix H * C if SIDE = 'L',
              or C * H if SIDE = 'R'.

    LDC

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

    WORK

              WORK is DOUBLE PRECISION array, dimension
                             (N) if SIDE = 'L'
                          or (M) if SIDE = 'R'

Author:
    Univ. of Tennessee

    Univ. of California Berkeley

    Univ. of Colorado Denver

    NAG Ltd.

Date:
    December 2016

Definition at line 126 of file dlarf.f.

  subroutine dlarfb (character SIDE, character TRANS, character DIRECT, character STOREV, integer M, integer N, integer K, double precision, dimension( ldv, * ) V, integer LDV, double precision, dimension( ldt, * ) T, integer LDT, double precision, dimension( ldc, * ) C, integer LDC, double precision, dimension( ldwork, * ) WORK, integer LDWORK)

DLARFB applies a block reflector or its transpose to a general rectangular matrix.

Purpose:

     DLARFB applies a real block reflector H or its transpose H**T to a
     real m by n matrix C, from either the left or the right.

Parameters:
    SIDE

              SIDE is CHARACTER*1
              = 'L': apply H or H**T from the Left
              = 'R': apply H or H**T from the Right

    TRANS

              TRANS is CHARACTER*1
              = 'N': apply H (No transpose)
              = 'T': apply H**T (Transpose)

    DIRECT

              DIRECT is CHARACTER*1
              Indicates how H is formed from a product of elementary
              reflectors
              = 'F': H = H(1) H(2) . . . H(k) (Forward)
              = 'B': H = H(k) . . . H(2) H(1) (Backward)

    STOREV

              STOREV is CHARACTER*1
              Indicates how the vectors which define the elementary
              reflectors are stored:
              = 'C': Columnwise
              = 'R': Rowwise

    M

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

    N

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

    K

              K is INTEGER
              The order of the matrix T (= the number of elementary
              reflectors whose product defines the block reflector).

    V

              V is DOUBLE PRECISION array, dimension
                                    (LDV,K) if STOREV = 'C'
                                    (LDV,M) if STOREV = 'R' and SIDE = 'L'
                                    (LDV,N) if STOREV = 'R' and SIDE = 'R'
              The matrix V. See Further Details.

    LDV

              LDV is INTEGER
              The leading dimension of the array V.
              If STOREV = 'C' and SIDE = 'L', LDV >= max(1,M);
              if STOREV = 'C' and SIDE = 'R', LDV >= max(1,N);
              if STOREV = 'R', LDV >= K.

    T

              T is DOUBLE PRECISION array, dimension (LDT,K)
              The triangular k by k matrix T in the representation of the
              block reflector.

    LDT

              LDT is INTEGER
              The leading dimension of the array T. LDT >= K.

    C

              C is DOUBLE PRECISION array, dimension (LDC,N)
              On entry, the m by n matrix C.
              On exit, C is overwritten by H*C or H**T*C or C*H or C*H**T.

    LDC

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

    WORK

              WORK is DOUBLE PRECISION array, dimension (LDWORK,K)

    LDWORK

              LDWORK is INTEGER
              The leading dimension of the array WORK.
              If SIDE = 'L', LDWORK >= max(1,N);
              if SIDE = 'R', LDWORK >= max(1,M).

Author:
    Univ. of Tennessee

    Univ. of California Berkeley

    Univ. of Colorado Denver

    NAG Ltd.

Date:
    June 2013

Further Details:

      The shape of the matrix V and the storage of the vectors which define
      the H(i) is best illustrated by the following example with n = 5 and
      k = 3. The elements equal to 1 are not stored; the corresponding
      array elements are modified but restored on exit. The rest of the
      array is not used.
      DIRECT = 'F' and STOREV = 'C':         DIRECT = 'F' and STOREV = 'R':
                   V = (  1       )                 V = (  1 v1 v1 v1 v1 )
                       ( v1  1    )                     (     1 v2 v2 v2 )
                       ( v1 v2  1 )                     (        1 v3 v3 )
                       ( v1 v2 v3 )
                       ( v1 v2 v3 )
      DIRECT = 'B' and STOREV = 'C':         DIRECT = 'B' and STOREV = 'R':
                   V = ( v1 v2 v3 )                 V = ( v1 v1  1       )
                       ( v1 v2 v3 )                     ( v2 v2 v2  1    )
                       (  1 v2 v3 )                     ( v3 v3 v3 v3  1 )
                       (     1 v3 )
                       (        1 )

Definition at line 197 of file dlarfb.f.

  subroutine dlarfg (integer N, double precision ALPHA, double precision, dimension( * ) X, integer INCX, double precision TAU)

DLARFG generates an elementary reflector (Householder matrix).

Purpose:

     DLARFG generates a real elementary reflector H of order n, such
     that
           H * ( alpha ) = ( beta ),   H**T * H = I.
               (   x   )   (   0  )
     where alpha and beta are scalars, and x is an (n-1)-element real
     vector. H is represented in the form
           H = I - tau * ( 1 ) * ( 1 v**T ) ,
                         ( v )
     where tau is a real scalar and v is a real (n-1)-element
     vector.
     If the elements of x are all zero, then tau = 0 and H is taken to be
     the unit matrix.
     Otherwise  1 <= tau <= 2.

Parameters:
    N

              N is INTEGER
              The order of the elementary reflector.

    ALPHA

              ALPHA is DOUBLE PRECISION
              On entry, the value alpha.
              On exit, it is overwritten with the value beta.

    X

              X is DOUBLE PRECISION array, dimension
                             (1+(N-2)*abs(INCX))
              On entry, the vector x.
              On exit, it is overwritten with the vector v.

    INCX

              INCX is INTEGER
              The increment between elements of X. INCX > 0.

    TAU

              TAU is DOUBLE PRECISION
              The value tau.

Author:
    Univ. of Tennessee

    Univ. of California Berkeley

    Univ. of Colorado Denver

    NAG Ltd.

Date:
    November 2017

Definition at line 108 of file dlarfg.f.

  subroutine dlarfgp (integer N, double precision ALPHA, double precision, dimension( * ) X, integer INCX, double precision TAU)

DLARFGP generates an elementary reflector (Householder matrix) with non-negative beta.

Purpose:

     DLARFGP generates a real elementary reflector H of order n, such
     that
           H * ( alpha ) = ( beta ),   H**T * H = I.
               (   x   )   (   0  )
     where alpha and beta are scalars, beta is non-negative, and x is
     an (n-1)-element real vector.  H is represented in the form
           H = I - tau * ( 1 ) * ( 1 v**T ) ,
                         ( v )
     where tau is a real scalar and v is a real (n-1)-element
     vector.
     If the elements of x are all zero, then tau = 0 and H is taken to be
     the unit matrix.

Parameters:
    N

              N is INTEGER
              The order of the elementary reflector.

    ALPHA

              ALPHA is DOUBLE PRECISION
              On entry, the value alpha.
              On exit, it is overwritten with the value beta.

    X

              X is DOUBLE PRECISION array, dimension
                             (1+(N-2)*abs(INCX))
              On entry, the vector x.
              On exit, it is overwritten with the vector v.

    INCX

              INCX is INTEGER
              The increment between elements of X. INCX > 0.

    TAU

              TAU is DOUBLE PRECISION
              The value tau.

Author:
    Univ. of Tennessee

    Univ. of California Berkeley

    Univ. of Colorado Denver

    NAG Ltd.

Date:
    November 2017

Definition at line 106 of file dlarfgp.f.

  subroutine dlarft (character DIRECT, character STOREV, integer N, integer K, double precision, dimension( ldv, * ) V, integer LDV, double precision, dimension( * ) TAU, double precision, dimension( ldt, * ) T, integer LDT)

DLARFT forms the triangular factor T of a block reflector H = I - vtvH

Purpose:

     DLARFT forms the triangular factor T of a real block reflector H
     of order n, which is defined as a product of k elementary reflectors.
     If DIRECT = 'F', H = H(1) H(2) . . . H(k) and T is upper triangular;
     If DIRECT = 'B', H = H(k) . . . H(2) H(1) and T is lower triangular.
     If STOREV = 'C', the vector which defines the elementary reflector
     H(i) is stored in the i-th column of the array V, and
        H  =  I - V * T * V**T
     If STOREV = 'R', the vector which defines the elementary reflector
     H(i) is stored in the i-th row of the array V, and
        H  =  I - V**T * T * V

Parameters:
    DIRECT

              DIRECT is CHARACTER*1
              Specifies the order in which the elementary reflectors are
              multiplied to form the block reflector:
              = 'F': H = H(1) H(2) . . . H(k) (Forward)
              = 'B': H = H(k) . . . H(2) H(1) (Backward)

    STOREV

              STOREV is CHARACTER*1
              Specifies how the vectors which define the elementary
              reflectors are stored (see also Further Details):
              = 'C': columnwise
              = 'R': rowwise

    N

              N is INTEGER
              The order of the block reflector H. N >= 0.

    K

              K is INTEGER
              The order of the triangular factor T (= the number of
              elementary reflectors). K >= 1.

    V

              V is DOUBLE PRECISION array, dimension
                                   (LDV,K) if STOREV = 'C'
                                   (LDV,N) if STOREV = 'R'
              The matrix V. See further details.

    LDV

              LDV is INTEGER
              The leading dimension of the array V.
              If STOREV = 'C', LDV >= max(1,N); if STOREV = 'R', LDV >= K.

    TAU

              TAU is DOUBLE PRECISION array, dimension (K)
              TAU(i) must contain the scalar factor of the elementary
              reflector H(i).

    T

              T is DOUBLE PRECISION array, dimension (LDT,K)
              The k by k triangular factor T of the block reflector.
              If DIRECT = 'F', T is upper triangular; if DIRECT = 'B', T is
              lower triangular. The rest of the array is not used.

    LDT

              LDT is INTEGER
              The leading dimension of the array T. LDT >= K.

Author:
    Univ. of Tennessee

    Univ. of California Berkeley

    Univ. of Colorado Denver

    NAG Ltd.

Date:
    December 2016

Further Details:

      The shape of the matrix V and the storage of the vectors which define
      the H(i) is best illustrated by the following example with n = 5 and
      k = 3. The elements equal to 1 are not stored.
      DIRECT = 'F' and STOREV = 'C':         DIRECT = 'F' and STOREV = 'R':
                   V = (  1       )                 V = (  1 v1 v1 v1 v1 )
                       ( v1  1    )                     (     1 v2 v2 v2 )
                       ( v1 v2  1 )                     (        1 v3 v3 )
                       ( v1 v2 v3 )
                       ( v1 v2 v3 )
      DIRECT = 'B' and STOREV = 'C':         DIRECT = 'B' and STOREV = 'R':
                   V = ( v1 v2 v3 )                 V = ( v1 v1  1       )
                       ( v1 v2 v3 )                     ( v2 v2 v2  1    )
                       (  1 v2 v3 )                     ( v3 v3 v3 v3  1 )
                       (     1 v3 )
                       (        1 )

Definition at line 165 of file dlarft.f.

  subroutine dlarfx (character SIDE, integer M, integer N, double precision, dimension( * ) V, double precision TAU, double precision, dimension( ldc, * ) C, integer LDC, double precision, dimension( * ) WORK)

DLARFX applies an elementary reflector to a general rectangular matrix, with loop unrolling when the reflector has order ≤ 10.

Purpose:

     DLARFX applies a real elementary reflector H to a real m by n
     matrix C, from either the left or the right. H is represented in the
     form
           H = I - tau * v * v**T
     where tau is a real scalar and v is a real vector.
     If tau = 0, then H is taken to be the unit matrix
     This version uses inline code if H has order < 11.

Parameters:
    SIDE

              SIDE is CHARACTER*1
              = 'L': form  H * C
              = 'R': form  C * H

    M

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

    N

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

    V

              V is DOUBLE PRECISION array, dimension (M) if SIDE = 'L'
                                         or (N) if SIDE = 'R'
              The vector v in the representation of H.

    TAU

              TAU is DOUBLE PRECISION
              The value tau in the representation of H.

    C

              C is DOUBLE PRECISION array, dimension (LDC,N)
              On entry, the m by n matrix C.
              On exit, C is overwritten by the matrix H * C if SIDE = 'L',
              or C * H if SIDE = 'R'.

    LDC

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

    WORK

              WORK is DOUBLE PRECISION array, dimension
                          (N) if SIDE = 'L'
                          or (M) if SIDE = 'R'
              WORK is not referenced if H has order < 11.

Author:
    Univ. of Tennessee

    Univ. of California Berkeley

    Univ. of Colorado Denver

    NAG Ltd.

Date:
    December 2016

Definition at line 122 of file dlarfx.f.

  subroutine dlargv (integer N, double precision, dimension( * ) X, integer INCX, double precision, dimension( * ) Y, integer INCY, double precision, dimension( * ) C, integer INCC)

DLARGV generates a vector of plane rotations with real cosines and real sines.

Purpose:

     DLARGV generates a vector of real plane rotations, determined by
     elements of the real vectors x and y. For i = 1,2,...,n
        (  c(i)  s(i) ) ( x(i) ) = ( a(i) )
        ( -s(i)  c(i) ) ( y(i) ) = (   0  )

Parameters:
    N

              N is INTEGER
              The number of plane rotations to be generated.

    X

              X is DOUBLE PRECISION array,
                             dimension (1+(N-1)*INCX)
              On entry, the vector x.
              On exit, x(i) is overwritten by a(i), for i = 1,...,n.

    INCX

              INCX is INTEGER
              The increment between elements of X. INCX > 0.

    Y

              Y is DOUBLE PRECISION array,
                             dimension (1+(N-1)*INCY)
              On entry, the vector y.
              On exit, the sines of the plane rotations.

    INCY

              INCY is INTEGER
              The increment between elements of Y. INCY > 0.

    C

              C is DOUBLE PRECISION array, dimension (1+(N-1)*INCC)
              The cosines of the plane rotations.

    INCC

              INCC is INTEGER
              The increment between elements of C. INCC > 0.

Author:
    Univ. of Tennessee

    Univ. of California Berkeley

    Univ. of Colorado Denver

    NAG Ltd.

Date:
    December 2016

Definition at line 106 of file dlargv.f.

  subroutine dlarrv (integer N, double precision VL, double precision VU, double precision, dimension( * ) D, double precision, dimension( * ) L, double precision PIVMIN, integer, dimension( * ) ISPLIT, integer M, integer DOL, integer DOU, double precision MINRGP, double precision RTOL1, double precision RTOL2, double precision, dimension( * ) W, double precision, dimension( * ) WERR, double precision, dimension( * ) WGAP, integer, dimension( * ) IBLOCK, integer, dimension( * ) INDEXW, double precision, dimension( * ) GERS, double precision, dimension( ldz, * ) Z, integer LDZ, integer, dimension( * ) ISUPPZ, double precision, dimension( * ) WORK, integer, dimension( * ) IWORK, integer INFO)

DLARRV computes the eigenvectors of the tridiagonal matrix T = L D LT given L, D and the eigenvalues of L D LT.

Purpose:

     DLARRV computes the eigenvectors of the tridiagonal matrix
     T = L D L**T given L, D and APPROXIMATIONS to the eigenvalues of L D L**T.
     The input eigenvalues should have been computed by DLARRE.

Parameters:
    N

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

    VL

              VL is DOUBLE PRECISION
              Lower bound of the interval that contains the desired
              eigenvalues. VL < VU. Needed to compute gaps on the left or right
              end of the extremal eigenvalues in the desired RANGE.

    VU

              VU is DOUBLE PRECISION
              Upper bound of the interval that contains the desired
              eigenvalues. VL < VU.
              Note: VU is currently not used by this implementation of DLARRV, VU is
              passed to DLARRV because it could be used compute gaps on the right end
              of the extremal eigenvalues. However, with not much initial accuracy in
              LAMBDA and VU, the formula can lead to an overestimation of the right gap
              and thus to inadequately early RQI 'convergence'. This is currently
              prevented this by forcing a small right gap. And so it turns out that VU
              is currently not used by this implementation of DLARRV.

    D

              D is DOUBLE PRECISION array, dimension (N)
              On entry, the N diagonal elements of the diagonal matrix D.
              On exit, D may be overwritten.

    L

              L is DOUBLE PRECISION array, dimension (N)
              On entry, the (N-1) subdiagonal elements of the unit
              bidiagonal matrix L are in elements 1 to N-1 of L
              (if the matrix is not split.) At the end of each block
              is stored the corresponding shift as given by DLARRE.
              On exit, L is overwritten.

    PIVMIN

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

    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.

    M

              M is INTEGER
              The total number of input eigenvalues.  0 <= M <= N.

    DOL

              DOL is INTEGER

    DOU

              DOU is INTEGER
              If the user wants to compute only selected eigenvectors from all
              the eigenvalues supplied, he can specify an index range DOL:DOU.
              Or else the setting DOL=1, DOU=M should be applied.
              Note that DOL and DOU refer to the order in which the eigenvalues
              are stored in W.
              If the user wants to compute only selected eigenpairs, then
              the columns DOL-1 to DOU+1 of the eigenvector space Z contain the
              computed eigenvectors. All other columns of Z are set to zero.

    MINRGP

              MINRGP is DOUBLE PRECISION

    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|) )

    W

              W is DOUBLE PRECISION array, dimension (N)
              The first M elements of W contain the APPROXIMATE eigenvalues for
              which eigenvectors are to be computed.  The eigenvalues
              should be grouped by split-off block and ordered from
              smallest to largest within the block ( The output array
              W from DLARRE is expected here ). Furthermore, they are with
              respect to the shift of the corresponding root representation
              for their block. On exit, W holds the eigenvalues of the
              UNshifted matrix.

    WERR

              WERR is DOUBLE PRECISION array, dimension (N)
              The first M elements contain the semiwidth of the uncertainty
              interval of the corresponding eigenvalue in W

    WGAP

              WGAP is DOUBLE PRECISION array, dimension (N)
              The separation from the right neighbor eigenvalue in W.

    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 the second block.

    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)). The Gerschgorin intervals should
              be computed from the original UNshifted matrix.

    Z

              Z is DOUBLE PRECISION array, dimension (LDZ, max(1,M) )
              If INFO = 0, the first M columns of Z contain the
              orthonormal eigenvectors of the matrix T
              corresponding to the input eigenvalues, with the i-th
              column of Z holding the eigenvector associated with W(i).
              Note: the user must ensure that at least max(1,M) columns are
              supplied in the array Z.

    LDZ

              LDZ is INTEGER
              The leading dimension of the array Z.  LDZ >= 1, and if
              JOBZ = 'V', LDZ >= max(1,N).

    ISUPPZ

              ISUPPZ is INTEGER array, dimension ( 2*max(1,M) )
              The support of the eigenvectors in Z, i.e., the indices
              indicating the nonzero elements in Z. The I-th eigenvector
              is nonzero only in elements ISUPPZ( 2*I-1 ) through
              ISUPPZ( 2*I ).

    WORK

              WORK is DOUBLE PRECISION array, dimension (12*N)

    IWORK

              IWORK is INTEGER array, dimension (7*N)

    INFO

              INFO is INTEGER
              = 0:  successful exit
              > 0:  A problem occurred in DLARRV.
              < 0:  One of the called subroutines signaled an internal problem.
                    Needs inspection of the corresponding parameter IINFO
                    for further information.
              =-1:  Problem in DLARRB when refining a child's eigenvalues.
              =-2:  Problem in DLARRF when computing the RRR of a child.
                    When a child is inside a tight cluster, it can be difficult
                    to find an RRR. A partial remedy from the user's point of
                    view is to make the parameter MINRGP smaller and recompile.
                    However, as the orthogonality of the computed vectors is
                    proportional to 1/MINRGP, the user should be aware that
                    he might be trading in precision when he decreases MINRGP.
              =-3:  Problem in DLARRB when refining a single eigenvalue
                    after the Rayleigh correction was rejected.
              = 5:  The Rayleigh Quotient Iteration failed to converge to
                    full accuracy in MAXITR steps.

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 294 of file dlarrv.f.

  subroutine dlartv (integer N, double precision, dimension( * ) X, integer INCX, double precision, dimension( * ) Y, integer INCY, double precision, dimension( * ) C, double precision, dimension( * ) S, integer INCC)

DLARTV applies a vector of plane rotations with real cosines and real sines to the elements of a pair of vectors.

Purpose:

     DLARTV applies a vector of real plane rotations to elements of the
     real vectors x and y. For i = 1,2,...,n
        ( x(i) ) := (  c(i)  s(i) ) ( x(i) )
        ( y(i) )    ( -s(i)  c(i) ) ( y(i) )

Parameters:
    N

              N is INTEGER
              The number of plane rotations to be applied.

    X

              X is DOUBLE PRECISION array,
                             dimension (1+(N-1)*INCX)
              The vector x.

    INCX

              INCX is INTEGER
              The increment between elements of X. INCX > 0.

    Y

              Y is DOUBLE PRECISION array,
                             dimension (1+(N-1)*INCY)
              The vector y.

    INCY

              INCY is INTEGER
              The increment between elements of Y. INCY > 0.

    C

              C is DOUBLE PRECISION array, dimension (1+(N-1)*INCC)
              The cosines of the plane rotations.

    S

              S is DOUBLE PRECISION array, dimension (1+(N-1)*INCC)
              The sines of the plane rotations.

    INCC

              INCC is INTEGER
              The increment between elements of C and S. INCC > 0.

Author:
    Univ. of Tennessee

    Univ. of California Berkeley

    Univ. of Colorado Denver

    NAG Ltd.

Date:
    December 2016

Definition at line 110 of file dlartv.f.

  subroutine dlaswp (integer N, double precision, dimension( lda, * ) A, integer LDA, integer K1, integer K2, integer, dimension( * ) IPIV, integer INCX)

DLASWP performs a series of row interchanges on a general rectangular matrix.

Purpose:

     DLASWP performs a series of row interchanges on the matrix A.
     One row interchange is initiated for each of rows K1 through K2 of A.

Parameters:
    N

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

    A

              A is DOUBLE PRECISION array, dimension (LDA,N)
              On entry, the matrix of column dimension N to which the row
              interchanges will be applied.
              On exit, the permuted matrix.

    LDA

              LDA is INTEGER
              The leading dimension of the array A.

    K1

              K1 is INTEGER
              The first element of IPIV for which a row interchange will
              be done.

    K2

              K2 is INTEGER
              (K2-K1+1) is the number of elements of IPIV for which a row
              interchange will be done.

    IPIV

              IPIV is INTEGER array, dimension (K1+(K2-K1)*abs(INCX))
              The vector of pivot indices. Only the elements in positions
              K1 through K1+(K2-K1)*abs(INCX) of IPIV are accessed.
              IPIV(K1+(K-K1)*abs(INCX)) = L implies rows K and L are to be
              interchanged.

    INCX

              INCX is INTEGER
              The increment between successive values of IPIV. If INCX
              is negative, the pivots are applied in reverse order.

Author:
    Univ. of Tennessee

    Univ. of California Berkeley

    Univ. of Colorado Denver

    NAG Ltd.

Date:
    June 2017

Further Details:

      Modified by
       R. C. Whaley, Computer Science Dept., Univ. of Tenn., Knoxville, USA

Definition at line 117 of file dlaswp.f.

  subroutine dlat2s (character UPLO, integer N, double precision, dimension( lda, * ) A, integer LDA, real, dimension( ldsa, * ) SA, integer LDSA, integer INFO)

DLAT2S converts a double-precision triangular matrix to a single-precision triangular matrix.

Purpose:

     DLAT2S converts a DOUBLE PRECISION triangular matrix, SA, to a SINGLE
     PRECISION triangular matrix, A.
     RMAX is the overflow for the SINGLE PRECISION arithmetic
     DLAS2S checks that all the entries of A are between -RMAX and
     RMAX. If not the conversion is aborted and a flag is raised.
     This is an auxiliary routine so there is no argument checking.

Parameters:
    UPLO

              UPLO is CHARACTER*1
              = 'U':  A is upper triangular;
              = 'L':  A is lower triangular.

    N

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

    A

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

    LDA

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

    SA

              SA is REAL array, dimension (LDSA,N)
              Only the UPLO part of SA is referenced.  On exit, if INFO=0,
              the N-by-N coefficient matrix SA; if INFO>0, the content of
              the UPLO part of SA is unspecified.

    LDSA

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

    INFO

              INFO is INTEGER
              = 0:  successful exit.
              = 1:  an entry of the matrix A is greater than the SINGLE
                    PRECISION overflow threshold, in this case, the content
                    of the UPLO part of SA in exit is unspecified.

Author:
    Univ. of Tennessee

    Univ. of California Berkeley

    Univ. of Colorado Denver

    NAG Ltd.

Date:
    December 2016

Definition at line 113 of file dlat2s.f.

  subroutine dlatbs (character UPLO, character TRANS, character DIAG, character NORMIN, integer N, integer KD, double precision, dimension( ldab, * ) AB, integer LDAB, double precision, dimension( * ) X, double precision SCALE, double precision, dimension( * ) CNORM, integer INFO)

DLATBS solves a triangular banded system of equations.

Purpose:

     DLATBS solves one of the triangular systems
        A *x = s*b  or  A**T*x = s*b
     with scaling to prevent overflow, where A is an upper or lower
     triangular band matrix.  Here A**T denotes the transpose of A, x and b
     are n-element vectors, and s is a scaling factor, usually less than
     or equal to 1, chosen so that the components of x will be less than
     the overflow threshold.  If the unscaled problem will not cause
     overflow, the Level 2 BLAS routine DTBSV is called.  If the matrix A
     is singular (A(j,j) = 0 for some j), then s is set to 0 and a
     non-trivial solution to A*x = 0 is returned.

Parameters:
    UPLO

              UPLO is CHARACTER*1
              Specifies whether the matrix A is upper or lower triangular.
              = 'U':  Upper triangular
              = 'L':  Lower triangular

    TRANS

              TRANS is CHARACTER*1
              Specifies the operation applied to A.
              = 'N':  Solve A * x = s*b  (No transpose)
              = 'T':  Solve A**T* x = s*b  (Transpose)
              = 'C':  Solve A**T* x = s*b  (Conjugate transpose = Transpose)

    DIAG

              DIAG is CHARACTER*1
              Specifies whether or not the matrix A is unit triangular.
              = 'N':  Non-unit triangular
              = 'U':  Unit triangular

    NORMIN

              NORMIN is CHARACTER*1
              Specifies whether CNORM has been set or not.
              = 'Y':  CNORM contains the column norms on entry
              = 'N':  CNORM is not set on entry.  On exit, the norms will
                      be computed and stored in CNORM.

    N

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

    KD

              KD is INTEGER
              The number of subdiagonals or superdiagonals in the
              triangular matrix A.  KD >= 0.

    AB

              AB is DOUBLE PRECISION array, dimension (LDAB,N)
              The upper or lower triangular band matrix A, stored in the
              first KD+1 rows of the array. The j-th column of A is stored
              in the j-th column of the array AB as follows:
              if UPLO = 'U', AB(kd+1+i-j,j) = A(i,j) for max(1,j-kd)<=i<=j;
              if UPLO = 'L', AB(1+i-j,j)    = A(i,j) for j<=i<=min(n,j+kd).

    LDAB

              LDAB is INTEGER
              The leading dimension of the array AB.  LDAB >= KD+1.

    X

              X is DOUBLE PRECISION array, dimension (N)
              On entry, the right hand side b of the triangular system.
              On exit, X is overwritten by the solution vector x.

    SCALE

              SCALE is DOUBLE PRECISION
              The scaling factor s for the triangular system
                 A * x = s*b  or  A**T* x = s*b.
              If SCALE = 0, the matrix A is singular or badly scaled, and
              the vector x is an exact or approximate solution to A*x = 0.

    CNORM

              CNORM is DOUBLE PRECISION array, dimension (N)
              If NORMIN = 'Y', CNORM is an input argument and CNORM(j)
              contains the norm of the off-diagonal part of the j-th column
              of A.  If TRANS = 'N', CNORM(j) must be greater than or equal
              to the infinity-norm, and if TRANS = 'T' or 'C', CNORM(j)
              must be greater than or equal to the 1-norm.
              If NORMIN = 'N', CNORM is an output argument and CNORM(j)
              returns the 1-norm of the offdiagonal part of the j-th column
              of A.

    INFO

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

Author:
    Univ. of Tennessee

    Univ. of California Berkeley

    Univ. of Colorado Denver

    NAG Ltd.

Date:
    December 2016

Further Details:

      A rough bound on x is computed; if that is less than overflow, DTBSV
      is called, otherwise, specific code is used which checks for possible
      overflow or divide-by-zero at every operation.
      A columnwise scheme is used for solving A*x = b.  The basic algorithm
      if A is lower triangular is
           x[1:n] := b[1:n]
           for j = 1, ..., n
                x(j) := x(j) / A(j,j)
                x[j+1:n] := x[j+1:n] - x(j) * A[j+1:n,j]
           end
      Define bounds on the components of x after j iterations of the loop:
         M(j) = bound on x[1:j]
         G(j) = bound on x[j+1:n]
      Initially, let M(0) = 0 and G(0) = max{x(i), i=1,...,n}.
      Then for iteration j+1 we have
         M(j+1) <= G(j) / | A(j+1,j+1) |
         G(j+1) <= G(j) + M(j+1) * | A[j+2:n,j+1] |
                <= G(j) ( 1 + CNORM(j+1) / | A(j+1,j+1) | )
      where CNORM(j+1) is greater than or equal to the infinity-norm of
      column j+1 of A, not counting the diagonal.  Hence
         G(j) <= G(0) product ( 1 + CNORM(i) / | A(i,i) | )
                      1<=i<=j
      and
         |x(j)| <= ( G(0) / |A(j,j)| ) product ( 1 + CNORM(i) / |A(i,i)| )
                                       1<=i< j
      Since |x(j)| <= M(j), we use the Level 2 BLAS routine DTBSV if the
      reciprocal of the largest M(j), j=1,..,n, is larger than
      max(underflow, 1/overflow).
      The bound on x(j) is also used to determine when a step in the
      columnwise method can be performed without fear of overflow.  If
      the computed bound is greater than a large constant, x is scaled to
      prevent overflow, but if the bound overflows, x is set to 0, x(j) to
      1, and scale to 0, and a non-trivial solution to A*x = 0 is found.
      Similarly, a row-wise scheme is used to solve A**T*x = b.  The basic
      algorithm for A upper triangular is
           for j = 1, ..., n
                x(j) := ( b(j) - A[1:j-1,j]**T * x[1:j-1] ) / A(j,j)
           end
      We simultaneously compute two bounds
           G(j) = bound on ( b(i) - A[1:i-1,i]**T * x[1:i-1] ), 1<=i<=j
           M(j) = bound on x(i), 1<=i<=j
      The initial values are G(0) = 0, M(0) = max{b(i), i=1,..,n}, and we
      add the constraint G(j) >= G(j-1) and M(j) >= M(j-1) for j >= 1.
      Then the bound on x(j) is
           M(j) <= M(j-1) * ( 1 + CNORM(j) ) / | A(j,j) |
                <= M(0) * product ( ( 1 + CNORM(i) ) / |A(i,i)| )
                          1<=i<=j
      and we can safely call DTBSV if 1/M(n) and 1/G(n) are both greater
      than max(underflow, 1/overflow).

Definition at line 244 of file dlatbs.f.

  subroutine dlatdf (integer IJOB, integer N, double precision, dimension( ldz, * ) Z, integer LDZ, double precision, dimension( * ) RHS, double precision RDSUM, double precision RDSCAL, integer, dimension( * ) IPIV, integer, dimension( * ) JPIV)

DLATDF uses the LU factorization of the n-by-n matrix computed by sgetc2 and computes a contribution to the reciprocal Dif-estimate.

Purpose:

     DLATDF uses the LU factorization of the n-by-n matrix Z computed by
     DGETC2 and computes a contribution to the reciprocal Dif-estimate
     by solving Z * x = b for x, and choosing the r.h.s. b such that
     the norm of x is as large as possible. On entry RHS = b holds the
     contribution from earlier solved sub-systems, and on return RHS = x.
     The factorization of Z returned by DGETC2 has the form Z = P*L*U*Q,
     where P and Q are permutation matrices. L is lower triangular with
     unit diagonal elements and U is upper triangular.

Parameters:
    IJOB

              IJOB is INTEGER
              IJOB = 2: First compute an approximative null-vector e
                  of Z using DGECON, e is normalized and solve for
                  Zx = +-e - f with the sign giving the greater value
                  of 2-norm(x). About 5 times as expensive as Default.
              IJOB .ne. 2: Local look ahead strategy where all entries of
                  the r.h.s. b is chosen as either +1 or -1 (Default).

    N

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

    Z

              Z is DOUBLE PRECISION array, dimension (LDZ, N)
              On entry, the LU part of the factorization of the n-by-n
              matrix Z computed by DGETC2:  Z = P * L * U * Q

    LDZ

              LDZ is INTEGER
              The leading dimension of the array Z.  LDA >= max(1, N).

    RHS

              RHS is DOUBLE PRECISION array, dimension (N)
              On entry, RHS contains contributions from other subsystems.
              On exit, RHS contains the solution of the subsystem with
              entries acoording to the value of IJOB (see above).

    RDSUM

              RDSUM is DOUBLE PRECISION
              On entry, the sum of squares of computed contributions to
              the Dif-estimate under computation by DTGSYL, where the
              scaling factor RDSCAL (see below) has been factored out.
              On exit, the corresponding sum of squares updated with the
              contributions from the current sub-system.
              If TRANS = 'T' RDSUM is not touched.
              NOTE: RDSUM only makes sense when DTGSY2 is called by STGSYL.

    RDSCAL

              RDSCAL is DOUBLE PRECISION
              On entry, scaling factor used to prevent overflow in RDSUM.
              On exit, RDSCAL is updated w.r.t. the current contributions
              in RDSUM.
              If TRANS = 'T', RDSCAL is not touched.
              NOTE: RDSCAL only makes sense when DTGSY2 is called by
                    DTGSYL.

    IPIV

              IPIV is INTEGER array, dimension (N).
              The pivot indices; for 1 <= i <= N, row i of the
              matrix has been interchanged with row IPIV(i).

    JPIV

              JPIV is INTEGER array, dimension (N).
              The pivot indices; for 1 <= j <= N, column j of the
              matrix has been interchanged with column JPIV(j).

Author:
    Univ. of Tennessee

    Univ. of California Berkeley

    Univ. of Colorado Denver

    NAG Ltd.

Date:
    June 2016

Further Details:
    This routine is a further developed implementation of algorithm BSOLVE in [1] using complete pivoting in the LU factorization.

Contributors:
    Bo Kagstrom and Peter Poromaa, Department of Computing Science, Umea University, S-901 87 Umea, Sweden.

References:

      [1] Bo Kagstrom and Lars Westin,
          Generalized Schur Methods with Condition Estimators for
          Solving the Generalized Sylvester Equation, IEEE Transactions
          on Automatic Control, Vol. 34, No. 7, July 1989, pp 745-751.
      [2] Peter Poromaa,
          On Efficient and Robust Estimators for the Separation
          between two Regular Matrix Pairs with Applications in
          Condition Estimation. Report IMINF-95.05, Departement of
          Computing Science, Umea University, S-901 87 Umea, Sweden, 1995.

Definition at line 173 of file dlatdf.f.

  subroutine dlatps (character UPLO, character TRANS, character DIAG, character NORMIN, integer N, double precision, dimension( * ) AP, double precision, dimension( * ) X, double precision SCALE, double precision, dimension( * ) CNORM, integer INFO)

DLATPS solves a triangular system of equations with the matrix held in packed storage.

Purpose:

     DLATPS solves one of the triangular systems
        A *x = s*b  or  A**T*x = s*b
     with scaling to prevent overflow, where A is an upper or lower
     triangular matrix stored in packed form.  Here A**T denotes the
     transpose of A, x and b are n-element vectors, and s is a scaling
     factor, usually less than or equal to 1, chosen so that the
     components of x will be less than the overflow threshold.  If the
     unscaled problem will not cause overflow, the Level 2 BLAS routine
     DTPSV is called. If the matrix A is singular (A(j,j) = 0 for some j),
     then s is set to 0 and a non-trivial solution to A*x = 0 is returned.

Parameters:
    UPLO

              UPLO is CHARACTER*1
              Specifies whether the matrix A is upper or lower triangular.
              = 'U':  Upper triangular
              = 'L':  Lower triangular

    TRANS

              TRANS is CHARACTER*1
              Specifies the operation applied to A.
              = 'N':  Solve A * x = s*b  (No transpose)
              = 'T':  Solve A**T* x = s*b  (Transpose)
              = 'C':  Solve A**T* x = s*b  (Conjugate transpose = Transpose)

    DIAG

              DIAG is CHARACTER*1
              Specifies whether or not the matrix A is unit triangular.
              = 'N':  Non-unit triangular
              = 'U':  Unit triangular

    NORMIN

              NORMIN is CHARACTER*1
              Specifies whether CNORM has been set or not.
              = 'Y':  CNORM contains the column norms on entry
              = 'N':  CNORM is not set on entry.  On exit, the norms will
                      be computed and stored in CNORM.

    N

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

    AP

              AP is DOUBLE PRECISION array, dimension (N*(N+1)/2)
              The upper or lower triangular matrix A, packed columnwise in
              a linear array.  The j-th column of A is stored in the array
              AP as follows:
              if UPLO = 'U', AP(i + (j-1)*j/2) = A(i,j) for 1<=i<=j;
              if UPLO = 'L', AP(i + (j-1)*(2n-j)/2) = A(i,j) for j<=i<=n.

    X

              X is DOUBLE PRECISION array, dimension (N)
              On entry, the right hand side b of the triangular system.
              On exit, X is overwritten by the solution vector x.

    SCALE

              SCALE is DOUBLE PRECISION
              The scaling factor s for the triangular system
                 A * x = s*b  or  A**T* x = s*b.
              If SCALE = 0, the matrix A is singular or badly scaled, and
              the vector x is an exact or approximate solution to A*x = 0.

    CNORM

              CNORM is DOUBLE PRECISION array, dimension (N)
              If NORMIN = 'Y', CNORM is an input argument and CNORM(j)
              contains the norm of the off-diagonal part of the j-th column
              of A.  If TRANS = 'N', CNORM(j) must be greater than or equal
              to the infinity-norm, and if TRANS = 'T' or 'C', CNORM(j)
              must be greater than or equal to the 1-norm.
              If NORMIN = 'N', CNORM is an output argument and CNORM(j)
              returns the 1-norm of the offdiagonal part of the j-th column
              of A.

    INFO

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

Author:
    Univ. of Tennessee

    Univ. of California Berkeley

    Univ. of Colorado Denver

    NAG Ltd.

Date:
    December 2016

Further Details:

      A rough bound on x is computed; if that is less than overflow, DTPSV
      is called, otherwise, specific code is used which checks for possible
      overflow or divide-by-zero at every operation.
      A columnwise scheme is used for solving A*x = b.  The basic algorithm
      if A is lower triangular is
           x[1:n] := b[1:n]
           for j = 1, ..., n
                x(j) := x(j) / A(j,j)
                x[j+1:n] := x[j+1:n] - x(j) * A[j+1:n,j]
           end
      Define bounds on the components of x after j iterations of the loop:
         M(j) = bound on x[1:j]
         G(j) = bound on x[j+1:n]
      Initially, let M(0) = 0 and G(0) = max{x(i), i=1,...,n}.
      Then for iteration j+1 we have
         M(j+1) <= G(j) / | A(j+1,j+1) |
         G(j+1) <= G(j) + M(j+1) * | A[j+2:n,j+1] |
                <= G(j) ( 1 + CNORM(j+1) / | A(j+1,j+1) | )
      where CNORM(j+1) is greater than or equal to the infinity-norm of
      column j+1 of A, not counting the diagonal.  Hence
         G(j) <= G(0) product ( 1 + CNORM(i) / | A(i,i) | )
                      1<=i<=j
      and
         |x(j)| <= ( G(0) / |A(j,j)| ) product ( 1 + CNORM(i) / |A(i,i)| )
                                       1<=i< j
      Since |x(j)| <= M(j), we use the Level 2 BLAS routine DTPSV if the
      reciprocal of the largest M(j), j=1,..,n, is larger than
      max(underflow, 1/overflow).
      The bound on x(j) is also used to determine when a step in the
      columnwise method can be performed without fear of overflow.  If
      the computed bound is greater than a large constant, x is scaled to
      prevent overflow, but if the bound overflows, x is set to 0, x(j) to
      1, and scale to 0, and a non-trivial solution to A*x = 0 is found.
      Similarly, a row-wise scheme is used to solve A**T*x = b.  The basic
      algorithm for A upper triangular is
           for j = 1, ..., n
                x(j) := ( b(j) - A[1:j-1,j]**T * x[1:j-1] ) / A(j,j)
           end
      We simultaneously compute two bounds
           G(j) = bound on ( b(i) - A[1:i-1,i]**T * x[1:i-1] ), 1<=i<=j
           M(j) = bound on x(i), 1<=i<=j
      The initial values are G(0) = 0, M(0) = max{b(i), i=1,..,n}, and we
      add the constraint G(j) >= G(j-1) and M(j) >= M(j-1) for j >= 1.
      Then the bound on x(j) is
           M(j) <= M(j-1) * ( 1 + CNORM(j) ) / | A(j,j) |
                <= M(0) * product ( ( 1 + CNORM(i) ) / |A(i,i)| )
                          1<=i<=j
      and we can safely call DTPSV if 1/M(n) and 1/G(n) are both greater
      than max(underflow, 1/overflow).

Definition at line 231 of file dlatps.f.

  subroutine dlatrd (character UPLO, integer N, integer NB, double precision, dimension( lda, * ) A, integer LDA, double precision, dimension( * ) E, double precision, dimension( * ) TAU, double precision, dimension( ldw, * ) W, integer LDW)

DLATRD reduces the first nb rows and columns of a symmetric/Hermitian matrix A to real tridiagonal form by an orthogonal similarity transformation.

Purpose:

     DLATRD reduces NB rows and columns of a real symmetric matrix A to
     symmetric tridiagonal form by an orthogonal similarity
     transformation Q**T * A * Q, and returns the matrices V and W which are
     needed to apply the transformation to the unreduced part of A.
     If UPLO = 'U', DLATRD reduces the last NB rows and columns of a
     matrix, of which the upper triangle is supplied;
     if UPLO = 'L', DLATRD reduces the first NB rows and columns of a
     matrix, of which the lower triangle is supplied.
     This is an auxiliary routine called by DSYTRD.

Parameters:
    UPLO

              UPLO is CHARACTER*1
              Specifies whether the upper or lower triangular part of the
              symmetric matrix A is stored:
              = 'U': Upper triangular
              = 'L': Lower triangular

    N

              N is INTEGER
              The order of the matrix A.

    NB

              NB is INTEGER
              The number of rows and columns to be reduced.

    A

              A is DOUBLE PRECISION array, dimension (LDA,N)
              On entry, the symmetric matrix A.  If UPLO = 'U', the leading
              n-by-n upper triangular part of A contains the upper
              triangular part of the matrix A, and the strictly lower
              triangular part of A is not referenced.  If UPLO = 'L', the
              leading n-by-n lower triangular part of A contains the lower
              triangular part of the matrix A, and the strictly upper
              triangular part of A is not referenced.
              On exit:
              if UPLO = 'U', the last NB columns have been reduced to
                tridiagonal form, with the diagonal elements overwriting
                the diagonal elements of A; the elements above the diagonal
                with the array TAU, represent the orthogonal matrix Q as a
                product of elementary reflectors;
              if UPLO = 'L', the first NB columns have been reduced to
                tridiagonal form, with the diagonal elements overwriting
                the diagonal elements of A; the elements below the diagonal
                with the array TAU, represent the  orthogonal matrix Q as a
                product of elementary reflectors.
              See Further Details.

    LDA

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

    E

              E is DOUBLE PRECISION array, dimension (N-1)
              If UPLO = 'U', E(n-nb:n-1) contains the superdiagonal
              elements of the last NB columns of the reduced matrix;
              if UPLO = 'L', E(1:nb) contains the subdiagonal elements of
              the first NB columns of the reduced matrix.

    TAU

              TAU is DOUBLE PRECISION array, dimension (N-1)
              The scalar factors of the elementary reflectors, stored in
              TAU(n-nb:n-1) if UPLO = 'U', and in TAU(1:nb) if UPLO = 'L'.
              See Further Details.

    W

              W is DOUBLE PRECISION array, dimension (LDW,NB)
              The n-by-nb matrix W required to update the unreduced part
              of A.

    LDW

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

Author:
    Univ. of Tennessee

    Univ. of California Berkeley

    Univ. of Colorado Denver

    NAG Ltd.

Date:
    December 2016

Further Details:

      If UPLO = 'U', the matrix Q is represented as a product of elementary
      reflectors
         Q = H(n) H(n-1) . . . H(n-nb+1).
      Each H(i) has the form
         H(i) = I - tau * v * v**T
      where tau is a real scalar, and v is a real vector with
      v(i:n) = 0 and v(i-1) = 1; v(1:i-1) is stored on exit in A(1:i-1,i),
      and tau in TAU(i-1).
      If UPLO = 'L', the matrix Q is represented as a product of elementary
      reflectors
         Q = H(1) H(2) . . . H(nb).
      Each H(i) has the form
         H(i) = I - tau * v * v**T
      where tau is a real scalar, and v is a real vector with
      v(1:i) = 0 and v(i+1) = 1; v(i+1:n) is stored on exit in A(i+1:n,i),
      and tau in TAU(i).
      The elements of the vectors v together form the n-by-nb matrix V
      which is needed, with W, to apply the transformation to the unreduced
      part of the matrix, using a symmetric rank-2k update of the form:
      A := A - V*W**T - W*V**T.
      The contents of A on exit are illustrated by the following examples
      with n = 5 and nb = 2:
      if UPLO = 'U':                       if UPLO = 'L':
        (  a   a   a   v4  v5 )              (  d                  )
        (      a   a   v4  v5 )              (  1   d              )
        (          a   1   v5 )              (  v1  1   a          )
        (              d   1  )              (  v1  v2  a   a      )
        (                  d  )              (  v1  v2  a   a   a  )
      where d denotes a diagonal element of the reduced matrix, a denotes
      an element of the original matrix that is unchanged, and vi denotes
      an element of the vector defining H(i).

Definition at line 200 of file dlatrd.f.

  subroutine dlatrs (character UPLO, character TRANS, character DIAG, character NORMIN, integer N, double precision, dimension( lda, * ) A, integer LDA, double precision, dimension( * ) X, double precision SCALE, double precision, dimension( * ) CNORM, integer INFO)

DLATRS solves a triangular system of equations with the scale factor set to prevent overflow.

Purpose:

     DLATRS solves one of the triangular systems
        A *x = s*b  or  A**T *x = s*b
     with scaling to prevent overflow.  Here A is an upper or lower
     triangular matrix, A**T denotes the transpose of A, x and b are
     n-element vectors, and s is a scaling factor, usually less than
     or equal to 1, chosen so that the components of x will be less than
     the overflow threshold.  If the unscaled problem will not cause
     overflow, the Level 2 BLAS routine DTRSV is called.  If the matrix A
     is singular (A(j,j) = 0 for some j), then s is set to 0 and a
     non-trivial solution to A*x = 0 is returned.

Parameters:
    UPLO

              UPLO is CHARACTER*1
              Specifies whether the matrix A is upper or lower triangular.
              = 'U':  Upper triangular
              = 'L':  Lower triangular

    TRANS

              TRANS is CHARACTER*1
              Specifies the operation applied to A.
              = 'N':  Solve A * x = s*b  (No transpose)
              = 'T':  Solve A**T* x = s*b  (Transpose)
              = 'C':  Solve A**T* x = s*b  (Conjugate transpose = Transpose)

    DIAG

              DIAG is CHARACTER*1
              Specifies whether or not the matrix A is unit triangular.
              = 'N':  Non-unit triangular
              = 'U':  Unit triangular

    NORMIN

              NORMIN is CHARACTER*1
              Specifies whether CNORM has been set or not.
              = 'Y':  CNORM contains the column norms on entry
              = 'N':  CNORM is not set on entry.  On exit, the norms will
                      be computed and stored in CNORM.

    N

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

    A

              A is DOUBLE PRECISION array, dimension (LDA,N)
              The triangular matrix A.  If UPLO = 'U', the leading n by n
              upper triangular part of the array A contains the upper
              triangular matrix, and the strictly lower triangular part of
              A is not referenced.  If UPLO = 'L', the leading n by n lower
              triangular part of the array A contains the lower triangular
              matrix, and the strictly upper triangular part of A is not
              referenced.  If DIAG = 'U', the diagonal elements of A are
              also not referenced and are assumed to be 1.

    LDA

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

    X

              X is DOUBLE PRECISION array, dimension (N)
              On entry, the right hand side b of the triangular system.
              On exit, X is overwritten by the solution vector x.

    SCALE

              SCALE is DOUBLE PRECISION
              The scaling factor s for the triangular system
                 A * x = s*b  or  A**T* x = s*b.
              If SCALE = 0, the matrix A is singular or badly scaled, and
              the vector x is an exact or approximate solution to A*x = 0.

    CNORM

              CNORM is DOUBLE PRECISION array, dimension (N)
              If NORMIN = 'Y', CNORM is an input argument and CNORM(j)
              contains the norm of the off-diagonal part of the j-th column
              of A.  If TRANS = 'N', CNORM(j) must be greater than or equal
              to the infinity-norm, and if TRANS = 'T' or 'C', CNORM(j)
              must be greater than or equal to the 1-norm.
              If NORMIN = 'N', CNORM is an output argument and CNORM(j)
              returns the 1-norm of the offdiagonal part of the j-th column
              of A.

    INFO

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

Author:
    Univ. of Tennessee

    Univ. of California Berkeley

    Univ. of Colorado Denver

    NAG Ltd.

Date:
    December 2016

Further Details:

      A rough bound on x is computed; if that is less than overflow, DTRSV
      is called, otherwise, specific code is used which checks for possible
      overflow or divide-by-zero at every operation.
      A columnwise scheme is used for solving A*x = b.  The basic algorithm
      if A is lower triangular is
           x[1:n] := b[1:n]
           for j = 1, ..., n
                x(j) := x(j) / A(j,j)
                x[j+1:n] := x[j+1:n] - x(j) * A[j+1:n,j]
           end
      Define bounds on the components of x after j iterations of the loop:
         M(j) = bound on x[1:j]
         G(j) = bound on x[j+1:n]
      Initially, let M(0) = 0 and G(0) = max{x(i), i=1,...,n}.
      Then for iteration j+1 we have
         M(j+1) <= G(j) / | A(j+1,j+1) |
         G(j+1) <= G(j) + M(j+1) * | A[j+2:n,j+1] |
                <= G(j) ( 1 + CNORM(j+1) / | A(j+1,j+1) | )
      where CNORM(j+1) is greater than or equal to the infinity-norm of
      column j+1 of A, not counting the diagonal.  Hence
         G(j) <= G(0) product ( 1 + CNORM(i) / | A(i,i) | )
                      1<=i<=j
      and
         |x(j)| <= ( G(0) / |A(j,j)| ) product ( 1 + CNORM(i) / |A(i,i)| )
                                       1<=i< j
      Since |x(j)| <= M(j), we use the Level 2 BLAS routine DTRSV if the
      reciprocal of the largest M(j), j=1,..,n, is larger than
      max(underflow, 1/overflow).
      The bound on x(j) is also used to determine when a step in the
      columnwise method can be performed without fear of overflow.  If
      the computed bound is greater than a large constant, x is scaled to
      prevent overflow, but if the bound overflows, x is set to 0, x(j) to
      1, and scale to 0, and a non-trivial solution to A*x = 0 is found.
      Similarly, a row-wise scheme is used to solve A**T*x = b.  The basic
      algorithm for A upper triangular is
           for j = 1, ..., n
                x(j) := ( b(j) - A[1:j-1,j]**T * x[1:j-1] ) / A(j,j)
           end
      We simultaneously compute two bounds
           G(j) = bound on ( b(i) - A[1:i-1,i]**T * x[1:i-1] ), 1<=i<=j
           M(j) = bound on x(i), 1<=i<=j
      The initial values are G(0) = 0, M(0) = max{b(i), i=1,..,n}, and we
      add the constraint G(j) >= G(j-1) and M(j) >= M(j-1) for j >= 1.
      Then the bound on x(j) is
           M(j) <= M(j-1) * ( 1 + CNORM(j) ) / | A(j,j) |
                <= M(0) * product ( ( 1 + CNORM(i) ) / |A(i,i)| )
                          1<=i<=j
      and we can safely call DTRSV if 1/M(n) and 1/G(n) are both greater
      than max(underflow, 1/overflow).

Definition at line 240 of file dlatrs.f.

  subroutine dlauu2 (character UPLO, integer N, double precision, dimension( lda, * ) A, integer LDA, integer INFO)

DLAUU2 computes the product UUH or LHL, where U and L are upper or lower triangular matrices (unblocked algorithm).

Purpose:

     DLAUU2 computes the product U * U**T or L**T * L, where the triangular
     factor U or L is stored in the upper or lower triangular part of
     the array A.
     If UPLO = 'U' or 'u' then the upper triangle of the result is stored,
     overwriting the factor U in A.
     If UPLO = 'L' or 'l' then the lower triangle of the result is stored,
     overwriting the factor L in A.
     This is the unblocked form of the algorithm, calling Level 2 BLAS.

Parameters:
    UPLO

              UPLO is CHARACTER*1
              Specifies whether the triangular factor stored in the array A
              is upper or lower triangular:
              = 'U':  Upper triangular
              = 'L':  Lower triangular

    N

              N is INTEGER
              The order of the triangular factor U or L.  N >= 0.

    A

              A is DOUBLE PRECISION array, dimension (LDA,N)
              On entry, the triangular factor U or L.
              On exit, if UPLO = 'U', the upper triangle of A is
              overwritten with the upper triangle of the product U * U**T;
              if UPLO = 'L', the lower triangle of A is overwritten with
              the lower triangle of the product L**T * L.

    LDA

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

    INFO

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

Author:
    Univ. of Tennessee

    Univ. of California Berkeley

    Univ. of Colorado Denver

    NAG Ltd.

Date:
    December 2016

Definition at line 104 of file dlauu2.f.

  subroutine dlauum (character UPLO, integer N, double precision, dimension( lda, * ) A, integer LDA, integer INFO)

DLAUUM computes the product UUH or LHL, where U and L are upper or lower triangular matrices (blocked algorithm).

Purpose:

     DLAUUM computes the product U * U**T or L**T * L, where the triangular
     factor U or L is stored in the upper or lower triangular part of
     the array A.
     If UPLO = 'U' or 'u' then the upper triangle of the result is stored,
     overwriting the factor U in A.
     If UPLO = 'L' or 'l' then the lower triangle of the result is stored,
     overwriting the factor L in A.
     This is the blocked form of the algorithm, calling Level 3 BLAS.

Parameters:
    UPLO

              UPLO is CHARACTER*1
              Specifies whether the triangular factor stored in the array A
              is upper or lower triangular:
              = 'U':  Upper triangular
              = 'L':  Lower triangular

    N

              N is INTEGER
              The order of the triangular factor U or L.  N >= 0.

    A

              A is DOUBLE PRECISION array, dimension (LDA,N)
              On entry, the triangular factor U or L.
              On exit, if UPLO = 'U', the upper triangle of A is
              overwritten with the upper triangle of the product U * U**T;
              if UPLO = 'L', the lower triangle of A is overwritten with
              the lower triangle of the product L**T * L.

    LDA

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

    INFO

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

Author:
    Univ. of Tennessee

    Univ. of California Berkeley

    Univ. of Colorado Denver

    NAG Ltd.

Date:
    December 2016

Definition at line 104 of file dlauum.f.

  subroutine drscl (integer N, double precision SA, double precision, dimension( * ) SX, integer INCX)

DRSCL multiplies a vector by the reciprocal of a real scalar.

Purpose:

     DRSCL multiplies an n-element real vector x by the real scalar 1/a.
     This is done without overflow or underflow as long as
     the final result x/a does not overflow or underflow.

Parameters:
    N

              N is INTEGER
              The number of components of the vector x.

    SA

              SA is DOUBLE PRECISION
              The scalar a which is used to divide each component of x.
              SA must be >= 0, or the subroutine will divide by zero.

    SX

              SX is DOUBLE PRECISION array, dimension
                             (1+(N-1)*abs(INCX))
              The n-element vector x.

    INCX

              INCX is INTEGER
              The increment between successive values of the vector SX.
              > 0:  SX(1) = X(1) and SX(1+(i-1)*INCX) = x(i),     1< i<= n

Author:
    Univ. of Tennessee

    Univ. of California Berkeley

    Univ. of Colorado Denver

    NAG Ltd.

Date:
    November 2017

Definition at line 86 of file drscl.f.

  subroutine dtprfb (character SIDE, character TRANS, character DIRECT, character STOREV, integer M, integer N, integer K, integer L, double precision, dimension( ldv, * ) V, integer LDV, double precision, dimension( ldt, * ) T, integer LDT, double precision, dimension( lda, * ) A, integer LDA, double precision, dimension( ldb, * ) B, integer LDB, double precision, dimension( ldwork, * ) WORK, integer LDWORK)

DTPRFB applies a real or complex 'triangular-pentagonal' blocked reflector to a real or complex matrix, which is composed of two blocks.

Purpose:

     DTPRFB applies a real "triangular-pentagonal" block reflector H or its
     transpose H**T to a real matrix C, which is composed of two
     blocks A and B, either from the left or right.

Parameters:
    SIDE

              SIDE is CHARACTER*1
              = 'L': apply H or H**T from the Left
              = 'R': apply H or H**T from the Right

    TRANS

              TRANS is CHARACTER*1
              = 'N': apply H (No transpose)
              = 'T': apply H**T (Transpose)

    DIRECT

              DIRECT is CHARACTER*1
              Indicates how H is formed from a product of elementary
              reflectors
              = 'F': H = H(1) H(2) . . . H(k) (Forward)
              = 'B': H = H(k) . . . H(2) H(1) (Backward)

    STOREV

              STOREV is CHARACTER*1
              Indicates how the vectors which define the elementary
              reflectors are stored:
              = 'C': Columns
              = 'R': Rows

    M

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

    N

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

    K

              K is INTEGER
              The order of the matrix T, i.e. the number of elementary
              reflectors whose product defines the block reflector.
              K >= 0.

    L

              L is INTEGER
              The order of the trapezoidal part of V.
              K >= L >= 0.  See Further Details.

    V

              V is DOUBLE PRECISION array, dimension
                                    (LDV,K) if STOREV = 'C'
                                    (LDV,M) if STOREV = 'R' and SIDE = 'L'
                                    (LDV,N) if STOREV = 'R' and SIDE = 'R'
              The pentagonal matrix V, which contains the elementary reflectors
              H(1), H(2), ..., H(K).  See Further Details.

    LDV

              LDV is INTEGER
              The leading dimension of the array V.
              If STOREV = 'C' and SIDE = 'L', LDV >= max(1,M);
              if STOREV = 'C' and SIDE = 'R', LDV >= max(1,N);
              if STOREV = 'R', LDV >= K.

    T

              T is DOUBLE PRECISION array, dimension (LDT,K)
              The triangular K-by-K matrix T in the representation of the
              block reflector.

    LDT

              LDT is INTEGER
              The leading dimension of the array T.
              LDT >= K.

    A

              A is DOUBLE PRECISION array, dimension
              (LDA,N) if SIDE = 'L' or (LDA,K) if SIDE = 'R'
              On entry, the K-by-N or M-by-K matrix A.
              On exit, A is overwritten by the corresponding block of
              H*C or H**T*C or C*H or C*H**T.  See Further Details.

    LDA

              LDA is INTEGER
              The leading dimension of the array A.
              If SIDE = 'L', LDC >= max(1,K);
              If SIDE = 'R', LDC >= max(1,M).

    B

              B is DOUBLE PRECISION array, dimension (LDB,N)
              On entry, the M-by-N matrix B.
              On exit, B is overwritten by the corresponding block of
              H*C or H**T*C or C*H or C*H**T.  See Further Details.

    LDB

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

    WORK

              WORK is DOUBLE PRECISION array, dimension
              (LDWORK,N) if SIDE = 'L',
              (LDWORK,K) if SIDE = 'R'.

    LDWORK

              LDWORK is INTEGER
              The leading dimension of the array WORK.
              If SIDE = 'L', LDWORK >= K;
              if SIDE = 'R', LDWORK >= M.

Author:
    Univ. of Tennessee

    Univ. of California Berkeley

    Univ. of Colorado Denver

    NAG Ltd.

Date:
    December 2016

Further Details:

      The matrix C is a composite matrix formed from blocks A and B.
      The block B is of size M-by-N; if SIDE = 'R', A is of size M-by-K,
      and if SIDE = 'L', A is of size K-by-N.
      If SIDE = 'R' and DIRECT = 'F', C = [A B].
      If SIDE = 'L' and DIRECT = 'F', C = [A]
                                          [B].
      If SIDE = 'R' and DIRECT = 'B', C = [B A].
      If SIDE = 'L' and DIRECT = 'B', C = [B]
                                          [A].
      The pentagonal matrix V is composed of a rectangular block V1 and a
      trapezoidal block V2.  The size of the trapezoidal block is determined by
      the parameter L, where 0<=L<=K.  If L=K, the V2 block of V is triangular;
      if L=0, there is no trapezoidal block, thus V = V1 is rectangular.
      If DIRECT = 'F' and STOREV = 'C':  V = [V1]
                                             [V2]
         - V2 is upper trapezoidal (first L rows of K-by-K upper triangular)
      If DIRECT = 'F' and STOREV = 'R':  V = [V1 V2]
         - V2 is lower trapezoidal (first L columns of K-by-K lower triangular)
      If DIRECT = 'B' and STOREV = 'C':  V = [V2]
                                             [V1]
         - V2 is lower trapezoidal (last L rows of K-by-K lower triangular)
      If DIRECT = 'B' and STOREV = 'R':  V = [V2 V1]
         - V2 is upper trapezoidal (last L columns of K-by-K upper triangular)
      If STOREV = 'C' and SIDE = 'L', V is M-by-K with V2 L-by-K.
      If STOREV = 'C' and SIDE = 'R', V is N-by-K with V2 L-by-K.
      If STOREV = 'R' and SIDE = 'L', V is K-by-M with V2 K-by-L.
      If STOREV = 'R' and SIDE = 'R', V is K-by-N with V2 K-by-L.

Definition at line 253 of file dtprfb.f.

  subroutine slatrd (character UPLO, integer N, integer NB, real, dimension( lda, * ) A, integer LDA, real, dimension( * ) E, real, dimension( * ) TAU, real, dimension( ldw, * ) W, integer LDW)

SLATRD reduces the first nb rows and columns of a symmetric/Hermitian matrix A to real tridiagonal form by an orthogonal similarity transformation.

Purpose:

     SLATRD reduces NB rows and columns of a real symmetric matrix A to
     symmetric tridiagonal form by an orthogonal similarity
     transformation Q**T * A * Q, and returns the matrices V and W which are
     needed to apply the transformation to the unreduced part of A.
     If UPLO = 'U', SLATRD reduces the last NB rows and columns of a
     matrix, of which the upper triangle is supplied;
     if UPLO = 'L', SLATRD reduces the first NB rows and columns of a
     matrix, of which the lower triangle is supplied.
     This is an auxiliary routine called by SSYTRD.

Parameters:
    UPLO

              UPLO is CHARACTER*1
              Specifies whether the upper or lower triangular part of the
              symmetric matrix A is stored:
              = 'U': Upper triangular
              = 'L': Lower triangular

    N

              N is INTEGER
              The order of the matrix A.

    NB

              NB is INTEGER
              The number of rows and columns to be reduced.

    A

              A is REAL array, dimension (LDA,N)
              On entry, the symmetric matrix A.  If UPLO = 'U', the leading
              n-by-n upper triangular part of A contains the upper
              triangular part of the matrix A, and the strictly lower
              triangular part of A is not referenced.  If UPLO = 'L', the
              leading n-by-n lower triangular part of A contains the lower
              triangular part of the matrix A, and the strictly upper
              triangular part of A is not referenced.
              On exit:
              if UPLO = 'U', the last NB columns have been reduced to
                tridiagonal form, with the diagonal elements overwriting
                the diagonal elements of A; the elements above the diagonal
                with the array TAU, represent the orthogonal matrix Q as a
                product of elementary reflectors;
              if UPLO = 'L', the first NB columns have been reduced to
                tridiagonal form, with the diagonal elements overwriting
                the diagonal elements of A; the elements below the diagonal
                with the array TAU, represent the  orthogonal matrix Q as a
                product of elementary reflectors.
              See Further Details.

    LDA

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

    E

              E is REAL array, dimension (N-1)
              If UPLO = 'U', E(n-nb:n-1) contains the superdiagonal
              elements of the last NB columns of the reduced matrix;
              if UPLO = 'L', E(1:nb) contains the subdiagonal elements of
              the first NB columns of the reduced matrix.

    TAU

              TAU is REAL array, dimension (N-1)
              The scalar factors of the elementary reflectors, stored in
              TAU(n-nb:n-1) if UPLO = 'U', and in TAU(1:nb) if UPLO = 'L'.
              See Further Details.

    W

              W is REAL array, dimension (LDW,NB)
              The n-by-nb matrix W required to update the unreduced part
              of A.

    LDW

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

Author:
    Univ. of Tennessee

    Univ. of California Berkeley

    Univ. of Colorado Denver

    NAG Ltd.

Date:
    December 2016

Further Details:

      If UPLO = 'U', the matrix Q is represented as a product of elementary
      reflectors
         Q = H(n) H(n-1) . . . H(n-nb+1).
      Each H(i) has the form
         H(i) = I - tau * v * v**T
      where tau is a real scalar, and v is a real vector with
      v(i:n) = 0 and v(i-1) = 1; v(1:i-1) is stored on exit in A(1:i-1,i),
      and tau in TAU(i-1).
      If UPLO = 'L', the matrix Q is represented as a product of elementary
      reflectors
         Q = H(1) H(2) . . . H(nb).
      Each H(i) has the form
         H(i) = I - tau * v * v**T
      where tau is a real scalar, and v is a real vector with
      v(1:i) = 0 and v(i+1) = 1; v(i+1:n) is stored on exit in A(i+1:n,i),
      and tau in TAU(i).
      The elements of the vectors v together form the n-by-nb matrix V
      which is needed, with W, to apply the transformation to the unreduced
      part of the matrix, using a symmetric rank-2k update of the form:
      A := A - V*W**T - W*V**T.
      The contents of A on exit are illustrated by the following examples
      with n = 5 and nb = 2:
      if UPLO = 'U':                       if UPLO = 'L':
        (  a   a   a   v4  v5 )              (  d                  )
        (      a   a   v4  v5 )              (  1   d              )
        (          a   1   v5 )              (  v1  1   a          )
        (              d   1  )              (  v1  v2  a   a      )
        (                  d  )              (  v1  v2  a   a   a  )
      where d denotes a diagonal element of the reduced matrix, a denotes
      an element of the original matrix that is unchanged, and vi denotes
      an element of the vector defining H(i).

Definition at line 200 of file slatrd.f.

Author

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