SVDSetConvergenceTest#
Specifies how to compute the error estimate used in the convergence test.
Synopsis#
#include "slepcsvd.h"
PetscErrorCode SVDSetConvergenceTest(SVD svd,SVDConv conv)
Logically Collective
Input Parameters#
svd - the singular value solver context
conv - the type of convergence test, see
SVDConvfor possible values
Options Database Keys#
-svd_conv_abs - sets the absolute convergence test
-svd_conv_rel - sets the convergence test relative to the singular value
-svd_conv_norm - sets the convergence test relative to the matrix norms
-svd_conv_maxit - forces the maximum number of iterations as set by
-svd_max_it-svd_conv_user - selects the user-defined convergence test
Note#
The default in standard SVD is SVD_CONV_REL, while in GSVD the default is SVD_CONV_NORM.
See Also#
SVD: Singular Value Decomposition, SVDGetConvergenceTest(), SVDSetConvergenceTestFunction(), SVDSetStoppingTest(), SVDConv
Level#
intermediate
Location#
Index of all SVD routines Table of Contents for all manual pages Index of all manual pages