LAPACK 3.11.0
LAPACK: Linear Algebra PACKage
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Collaboration diagram for real:

Functions

subroutine sgejsv (joba, jobu, jobv, jobr, jobt, jobp, m, n, a, lda, sva, u, ldu, v, ldv, work, lwork, iwork, info)
 SGEJSV
 
subroutine sgesdd (jobz, m, n, a, lda, s, u, ldu, vt, ldvt, work, lwork, iwork, info)
 SGESDD
 
subroutine sgesvd (jobu, jobvt, m, n, a, lda, s, u, ldu, vt, ldvt, work, lwork, info)
  SGESVD computes the singular value decomposition (SVD) for GE matrices
 
subroutine sgesvdq (joba, jobp, jobr, jobu, jobv, m, n, a, lda, s, u, ldu, v, ldv, numrank, iwork, liwork, work, lwork, rwork, lrwork, info)
  SGESVDQ computes the singular value decomposition (SVD) with a QR-Preconditioned QR SVD Method for GE matrices
 
subroutine sgesvdx (jobu, jobvt, range, m, n, a, lda, vl, vu, il, iu, ns, s, u, ldu, vt, ldvt, work, lwork, iwork, info)
  SGESVDX computes the singular value decomposition (SVD) for GE matrices
 
subroutine sggsvd3 (jobu, jobv, jobq, m, n, p, k, l, a, lda, b, ldb, alpha, beta, u, ldu, v, ldv, q, ldq, work, lwork, iwork, info)
  SGGSVD3 computes the singular value decomposition (SVD) for OTHER matrices
 

Detailed Description

This is the group of real singular value driver functions for GE matrices