/home/abui.../dbdsvdx.f(3)

πŸ“¦ version 3.12.0, in opensuse-leap 16.0

πŸŽ€ NAME πŸŽ€

Okay so this page is from the Library Functions Manual, bestie, and it’s all about:

/home/abuild/rpmbuild/BUILD/lapack-static-3.12.0-build/lapack-3.12.0/SRC/dbdsvdx.f


πŸ“š SYNOPSIS πŸ“š

🧚 Functions/Subroutines 🧚

subroutine DBDSVDX (uplo, jobz, range, n, d, e, vl, vu, il, iu, ns, s,
    z, ldz, work, iwork, info)
    DBDSVDX

πŸ’» Function/Subroutine Documentation πŸ’»

subroutine DBDSVDX (character uplo, character jobz, character range, integer
    n, double precision, dimension( * ) d, double precision, dimension( * )
    e, double precision vl, double precision vu, integer il, integer iu,
    integer ns, double precision, dimension( * ) s, double precision,
    dimension( ldz, * ) z, integer ldz, double precision, dimension( * )
    work, integer, dimension( * ) iwork, integer info)
    DBDSVDX

🎯 Purpose 🎯

DBDSVDX computes the singular value decomposition (SVD) of a real N-by-N (upper or lower) bidiagonal matrix B, with B = U * S * VT, where S is a diagonal matrix with non-negative diagonal elements β€” those are the singular values of B β€” and U and VT are orthogonal matrices of left and right singular vectors, respectively. πŸ’–

Given an upper bidiagonal B with diagonal D = [ d_1 d_2 ... d_N ] and superdiagonal E = [ e_1 e_2 ... e_N-1 ], DBDSVDX computes the singular value decomposition of B through the eigenvalues and eigenvectors of the N*2-by-N*2 tridiagonal matrix:

        |  0  d_1                |
        | d_1  0  e_1            |
  TGK = |     e_1  0  d_2        |
        |         d_2  .   .     |
        |              .   .   . |

If (s,u,v) is a singular triplet of B with ||u|| = ||v|| = 1, then (+/-s,q), ||q|| = 1, are eigenpairs of TGK, with:

q = P * ( u' +/-v' ) /
sqrt(2) = ( v_1 u_1 v_2 u_2 ... v_n u_n ) / sqrt(2), and
P = [ e_{n+1} e_{1} e_{n+2} e_{2} ... ].

Given a TGK matrix, you can either a) compute -s,-v and change signs so that the singular values (and corresponding vectors) are already in descending order (as in DGESVD/DGESDD) or b) compute s,v and reorder the values (and corresponding vectors). DBDSVDX implements a) by calling DSTEVX β€” bisection plus inverse iteration, to be replaced with a version of the Multiple Relative Robust Representation algorithm. (See P. Willems and B. Lang, A framework for the MR^3 algorithm: theory and implementation, SIAM J. Sci. Comput., 35:740-766, 2013.) πŸ”₯

πŸ’… Parameters πŸ’…

UPLO

UPLO is CHARACTER*1

  • = 'U': B is upper bidiagonal;
  • = 'L': B is lower bidiagonal.

JOBZ

JOBZ is CHARACTER*1

  • = 'N': compute singular values only;
  • = 'V': compute singular values and singular vectors.

RANGE

RANGE is CHARACTER*1

  • = 'A': all singular values will be found.
  • = 'V': all singular values in the half-open interval [VL,VU) will be found.
  • = 'I': the IL-th through IU-th singular values will be found.

N

N is INTEGER

The order of the bidiagonal matrix. N >= 0.

D

D is DOUBLE PRECISION array, dimension (N)

The n diagonal elements of the bidiagonal matrix B.

E

E is DOUBLE PRECISION array, dimension (max(1,N-1))

The (n-1) superdiagonal elements of the bidiagonal matrix B in elements 1 to N-1.

VL

VL is DOUBLE PRECISION

If RANGE='V', the lower bound of the interval to be searched for singular values. VU > VL. Not referenced if RANGE = 'A' or 'I'.

VU

VU is DOUBLE PRECISION

If RANGE='V', the upper bound of the interval to be searched for singular values. VU > VL. Not referenced if RANGE = 'A' or 'I'.

IL

IL is INTEGER

If RANGE='I', the index of the smallest singular value to be returned. 1 <= IL <= IU <= min(M,N), if min(M,N) > 0. Not referenced if RANGE = 'A' or 'V'.

IU

IU is INTEGER

If RANGE='I', the index of the largest singular value to be returned. 1 <= IL <= IU <= min(M,N), if min(M,N) > 0. Not referenced if RANGE = 'A' or 'V'.

NS

NS is INTEGER

The total number of singular values found. 0 <= NS <= N. If RANGE = 'A', NS = N, and if RANGE = 'I', NS = IU-IL+1.

S

S is DOUBLE PRECISION array, dimension (N)

The first NS elements contain the selected singular values in ascending order.

Z

Z is DOUBLE PRECISION array, dimension (2*N,K)

If JOBZ = 'V', then if INFO = 0 the first NS columns of Z contain the singular vectors of the matrix B corresponding to the selected singular values, with U in rows 1 to N and V in rows N+1 to N*2, i.e.

Z = [ U ]
    [ V ]

If JOBZ = 'N', then Z is not referenced.

Note: The user must ensure that at least K = NS+1 columns are supplied in the array Z; if RANGE = 'V', the exact value of NS is not known in advance and an upper bound must be used.

LDZ

LDZ is INTEGER

The leading dimension of the array Z. LDZ >= 1, and if JOBZ = 'V', LDZ >= max(2,N*2).

WORK

WORK is DOUBLE PRECISION array, dimension (14*N)

IWORK

IWORK is INTEGER array, dimension (12*N)

If JOBZ = 'V', then if INFO = 0, the first NS elements of IWORK are zero. If INFO > 0, then IWORK contains the indices of the eigenvectors that failed to converge in DSTEVX.

INFO

INFO is INTEGER

  • = 0: successful exit
  • < 0: if INFO = -i, the i-th argument had an illegal value
  • > 0: if INFO = i, then i eigenvectors failed to converge in DSTEVX. The indices of the eigenvectors (as returned by DSTEVX) are stored in the array IWORK.
    • if INFO = N*2 + 1, an internal error occurred.

🫢 Author 🫢

  • Univ. of Tennessee
  • Univ. of California Berkeley
  • Univ. of Colorado Denver
  • NAG Ltd.

Definition at line 224 of file dbdsvdx.f.

πŸͺ„ Author πŸͺ„

Generated automatically by Doxygen for LAPACK from the source code.


That’s the whole page, bestie! Footer tea: LAPACK Version 3.12.0, page /home/abui.../dbdsvdx.f(3) β€” no date in this footer, so I’m not inventing one, periodt. πŸ’…βœ¨πŸŽ€

πŸ“¦ where this page comes from