DLASDA(3)

πŸ“¦ version 3.12.0, in opensuse-leap 16.0

okay so bestie, this page is from the Library Functions Manual, and the header path is /home/abui...RC/dlasda.f(3) β€” yes, it’s truncated like that, iconic πŸ’…. Buckle up, because DLASDA is a whole LAPACK subroutine and we are keeping every single detail.


πŸ’– NAME πŸ’–

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

That’s the file, bestie. That’s the NAME section. No cap.


✨ SYNOPSIS ✨

Functions/Subroutines

Here’s the call signature, verbatim, because we do not mess with code:

subroutine DLASDA (icompq, smlsiz, n, sqre, d, e, u, ldu, vt, k, difl,
    difr, z, poles, givptr, givcol, ldgcol, perm, givnum, c, s, work,
    iwork, info)
  • subroutine DLASDA β€” DLASDA computes the singular value decomposition (SVD) of a real upper bidiagonal matrix with diagonal d and off-diagonal e. Used by sbdsdc.

🌸 Function/Subroutine Documentation 🌸

Here’s the full signature again with all the types and dimensions, exactly:

subroutine DLASDA (integer icompq, integer smlsiz, integer n, integer sqre,
    double precision, dimension( * ) d, double precision, dimension( * ) e,
    double precision, dimension( ldu, * ) u, integer ldu, double precision,
    dimension( ldu, * ) vt, integer, dimension( * ) k, double precision,
    dimension( ldu, * ) difl, double precision, dimension( ldu, * ) difr,
    double precision, dimension( ldu, * ) z, double precision, dimension(
    ldu, * ) poles, integer, dimension( * ) givptr, integer, dimension(
    ldgcol, * ) givcol, integer ldgcol, integer, dimension( ldgcol, * )
    perm, double precision, dimension( ldu, * ) givnum, double precision,
    dimension( * ) c, double precision, dimension( * ) s, double precision,
    dimension( * ) work, integer, dimension( * ) iwork, integer info)

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

Purpose 🎯

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

A related subroutine, DLASD0, computes the singular values and the singular vectors in explicit form.

Parameters πŸ“‹

Every parameter, every value, no skipping:

  • ICOMPQ β€” ICOMPQ is INTEGER. Specifies whether singular vectors are to be computed in compact form, as follows:
    • = 0: Compute singular values only.
    • = 1: Compute singular vectors of upper bidiagonal matrix in compact form.
  • SMLSIZ β€” SMLSIZ is INTEGER. The maximum size of the subproblems at the bottom of the computation tree.
  • N β€” N is INTEGER. The row dimension of the upper bidiagonal matrix. This is also the dimension of the main diagonal array D.
  • SQRE β€” SQRE is INTEGER. Specifies the column dimension of the bidiagonal matrix.
    • = 0: The bidiagonal matrix has column dimension M = N;
    • = 1: The bidiagonal matrix has column dimension M = N + 1.
  • D β€” D is DOUBLE PRECISION array, dimension ( N ). On entry D contains the main diagonal of the bidiagonal matrix. On exit D, if INFO = 0, contains its singular values.
  • E β€” E is DOUBLE PRECISION array, dimension ( M-1 ). Contains the subdiagonal entries of the bidiagonal matrix. On exit, E has been destroyed.
  • U β€” U is DOUBLE PRECISION array, dimension ( LDU, SMLSIZ ) if ICOMPQ = 1, and not referenced if ICOMPQ = 0. If ICOMPQ = 1, on exit, U contains the left singular vector matrices of all subproblems at the bottom level.
  • LDU β€” LDU is INTEGER, LDU = > N. The leading dimension of arrays U, VT, DIFL, DIFR, POLES, GIVNUM, and Z.
  • VT β€” VT is DOUBLE PRECISION array, dimension ( LDU, SMLSIZ+1 ) if ICOMPQ = 1, and not referenced if ICOMPQ = 0. If ICOMPQ = 1, on exit, VT**T contains the right singular vector matrices of all subproblems at the bottom level.
  • K β€” K is INTEGER array, dimension ( N ) if ICOMPQ = 1 and dimension 1 if ICOMPQ = 0. If ICOMPQ = 1, on exit, K(I) is the dimension of the I-th secular equation on the computation tree.
  • DIFL β€” DIFL is DOUBLE PRECISION array, dimension ( LDU, NLVL ), where NLVL = floor(log_2 (N/SMLSIZ))).
  • DIFR β€” DIFR is DOUBLE PRECISION array, dimension ( LDU, 2 * NLVL ) if ICOMPQ = 1 and dimension ( N ) if ICOMPQ = 0. If ICOMPQ = 1, on exit, DIFL(1:N, I) and DIFR(1:N, 2 * I - 1) record distances between singular values on the I-th level and singular values on the (I -1)-th level, and DIFR(1:N, 2 * I ) contains the normalizing factors for the right singular vector matrix. See DLASD8 for details.
  • Z β€” Z is DOUBLE PRECISION array, dimension ( LDU, NLVL ) if ICOMPQ = 1 and dimension ( N ) if ICOMPQ = 0. The first K elements of Z(1, I) contain the components of the deflation-adjusted updating row vector for subproblems on the I-th level.
  • POLES β€” POLES is DOUBLE PRECISION array, dimension ( LDU, 2 * NLVL ) if ICOMPQ = 1, and not referenced if ICOMPQ = 0. If ICOMPQ = 1, on exit, POLES(1, 2*I - 1) and POLES(1, 2*I) contain the new and old singular values involved in the secular equations on the I-th level.
  • GIVPTR β€” GIVPTR is INTEGER array, dimension ( N ) if ICOMPQ = 1, and not referenced if ICOMPQ = 0. If ICOMPQ = 1, on exit, GIVPTR( I ) records the number of Givens rotations performed on the I-th problem on the computation tree.
  • GIVCOL β€” GIVCOL is INTEGER array, dimension ( LDGCOL, 2 * NLVL ) if ICOMPQ = 1, and not referenced if ICOMPQ = 0. If ICOMPQ = 1, on exit, for each I, GIVCOL(1, 2 *I - 1) and GIVCOL(1, 2 *I) record the locations of Givens rotations performed on the I-th level on the computation tree.
  • LDGCOL β€” LDGCOL is INTEGER, LDGCOL = > N. The leading dimension of arrays GIVCOL and PERM.
  • PERM β€” PERM is INTEGER array, dimension ( LDGCOL, NLVL ) if ICOMPQ = 1, and not referenced if ICOMPQ = 0. If ICOMPQ = 1, on exit, PERM(1, I) records permutations done on the I-th level of the computation tree.
  • GIVNUM β€” GIVNUM is DOUBLE PRECISION array, dimension ( LDU, 2 * NLVL ) if ICOMPQ = 1, and not referenced if ICOMPQ = 0. If ICOMPQ = 1, on exit, for each I, GIVNUM(1, 2 *I - 1) and GIVNUM(1, 2 *I) record the C- and S-values of Givens rotations performed on the I-th level on the computation tree.
  • C β€” C is DOUBLE PRECISION array, dimension ( N ) if ICOMPQ = 1, and dimension 1 if ICOMPQ = 0. If ICOMPQ = 1 and the I-th subproblem is not square, on exit, C( I ) contains the C-value of a Givens rotation related to the right null space of the I-th subproblem.
  • S β€” S is DOUBLE PRECISION array, dimension ( N ) if ICOMPQ = 1, and dimension 1 if ICOMPQ = 0. If ICOMPQ = 1 and the I-th subproblem is not square, on exit, S( I ) contains the S-value of a Givens rotation related to the right null space of the I-th subproblem.
  • WORK β€” WORK is DOUBLE PRECISION array, dimension (6 * N + (SMLSIZ + 1)*(SMLSIZ + 1)).
  • IWORK β€” IWORK is INTEGER array, dimension (7*N).
  • INFO β€” INFO is INTEGER:
    • = 0: successful exit.
    • < 0: if INFO = -i, the i-th argument had an illegal value.
    • > 0: if INFO = 1, a singular value did not converge

Author ✍️

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

Contributors:

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

Definition at line 270 of file dlasda.f.


✨ Author ✨

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