SVDSCALAPACK#
SVDSCALAPACK = “scalapack” - A wrapper to the ScaLAPACK singular value solver [Blackford et al., 1997].
Notes#
Only available for standard SVD problems, using subroutine pdgesvd and
the analogs for other precisions.
This is a direct singular value solver, that is, the full decomposition
is computed. The computation involves redistributing the matrices from PETSc
storage to ScaLAPACK distribution, and vice versa (this is done automatically
by SLEPc). Alternatively, the user may create the problem matrices
already with type MATSCALAPACK.
References#
L. S. Blackford, J. Choi, A. Cleary, E. D'Azevedo, J. Demmel, I. Dhillon, J. Dongarra, S. Hammarling, G. Henry, A. Petitet, K. Stanley, D. Walker, and R. C. Whaley. ScaLAPACK Users' Guide. Society for Industrial and Applied Mathematics, Philadelphia, PA, 1997.
See Also#
SVD: Singular Value Decomposition, SVD, SVDType, SVDSetType()
Level#
beginner
Location#
src/svd/impls/external/scalapack/svdscalap.c
Index of all SVD routines Table of Contents for all manual pages Index of all manual pages