/*
EPS routines related to options that can be set via the command-line
or procedurally.
- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
SLEPc - Scalable Library for Eigenvalue Problem Computations
Copyright (c) 2002-2007, Universidad Politecnica de Valencia, Spain
This file is part of SLEPc. See the README file for conditions of use
and additional information.
- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
*/
#include "src/eps/epsimpl.h" /*I "slepceps.h" I*/
#undef __FUNCT__
#define __FUNCT__ "EPSSetFromOptions"
/*@
EPSSetFromOptions - Sets EPS options from the options database.
This routine must be called before EPSSetUp() if the user is to be
allowed to set the solver type.
Collective on EPS
Input Parameters:
. eps - the eigensolver context
Notes:
To see all options, run your program with the -help option.
Level: beginner
.seealso:
@*/
PetscErrorCode EPSSetFromOptions(EPS eps)
{
PetscErrorCode ierr;
char type[256],monfilename[PETSC_MAX_PATH_LEN];
PetscTruth flg;
PetscReal r;
PetscInt i,j;
PetscViewer monviewer;
PetscFunctionBegin;
PetscValidHeaderSpecific(eps,EPS_COOKIE,1);
ierr = PetscOptionsBegin(((PetscObject)eps)->comm,((PetscObject)eps)->prefix,"Eigenproblem Solver (EPS) Options","EPS");CHKERRQ(ierr);
ierr = PetscOptionsList("-eps_type","Eigenproblem Solver method","EPSSetType",EPSList,(char*)(((PetscObject)eps)->type_name?((PetscObject)eps)->type_name:EPSKRYLOVSCHUR),type,256,&flg);CHKERRQ(ierr);
if (flg) {
ierr = EPSSetType(eps,type);CHKERRQ(ierr);
}
ierr = PetscOptionsTruthGroupBegin("-eps_hermitian","hermitian eigenvalue problem","EPSSetProblemType",&flg);CHKERRQ(ierr);
if (flg) {ierr = EPSSetProblemType(eps,EPS_HEP);CHKERRQ(ierr);}
ierr = PetscOptionsTruthGroup("-eps_gen_hermitian","generalized hermitian eigenvalue problem","EPSSetProblemType",&flg);CHKERRQ(ierr);
if (flg) {ierr = EPSSetProblemType(eps,EPS_GHEP);CHKERRQ(ierr);}
ierr = PetscOptionsTruthGroup("-eps_non_hermitian","non-hermitian eigenvalue problem","EPSSetProblemType",&flg);CHKERRQ(ierr);
if (flg) {ierr = EPSSetProblemType(eps,EPS_NHEP);CHKERRQ(ierr);}
ierr = PetscOptionsTruthGroup("-eps_gen_non_hermitian","generalized non-hermitian eigenvalue problem","EPSSetProblemType",&flg);CHKERRQ(ierr);
if (flg) {ierr = EPSSetProblemType(eps,EPS_GNHEP);CHKERRQ(ierr);}
ierr = PetscOptionsTruthGroupEnd("-eps_pos_gen_non_hermitian","generalized non-hermitian eigenvalue problem with positive semi-definite B","EPSSetProblemType",&flg);CHKERRQ(ierr);
if (flg) {ierr = EPSSetProblemType(eps,EPS_PGNHEP);CHKERRQ(ierr);}
/*
Set the type if it was never set.
*/
if (!((PetscObject)eps)->type_name) {
ierr = EPSSetType(eps,EPSKRYLOVSCHUR);CHKERRQ(ierr);
}
ierr = PetscOptionsTruthGroupBegin("-eps_oneside","one-sided eigensolver","EPSSetClass",&flg);CHKERRQ(ierr);
if (flg) {ierr = EPSSetClass(eps,EPS_ONE_SIDE);CHKERRQ(ierr);}
ierr = PetscOptionsTruthGroupEnd("-eps_twoside","two-sided eigensolver","EPSSetClass",&flg);CHKERRQ(ierr);
if (flg) {ierr = EPSSetClass(eps,EPS_TWO_SIDE);CHKERRQ(ierr);}
r = i = PETSC_IGNORE;
ierr = PetscOptionsInt("-eps_max_it","Maximum number of iterations","EPSSetTolerances",eps->max_it,&i,PETSC_NULL);CHKERRQ(ierr);
ierr = PetscOptionsReal("-eps_tol","Tolerance","EPSSetTolerances",eps->tol,&r,PETSC_NULL);CHKERRQ(ierr);
ierr = EPSSetTolerances(eps,r,i);CHKERRQ(ierr);
i = j = PETSC_IGNORE;
ierr = PetscOptionsInt("-eps_nev","Number of eigenvalues to compute","EPSSetDimensions",eps->nev,&i,PETSC_NULL);CHKERRQ(ierr);
ierr = PetscOptionsInt("-eps_ncv","Number of basis vectors","EPSSetDimensions",eps->ncv,&j,PETSC_NULL);CHKERRQ(ierr);
ierr = EPSSetDimensions(eps,i,j);CHKERRQ(ierr);
/* -----------------------------------------------------------------------*/
/*
Cancels all monitors hardwired into code before call to EPSSetFromOptions()
*/
ierr = PetscOptionsName("-eps_monitor_cancel","Remove any hardwired monitor routines","EPSMonitorCancel",&flg);CHKERRQ(ierr);
if (flg) {
ierr = EPSMonitorCancel(eps); CHKERRQ(ierr);
}
/*
Prints approximate eigenvalues and error estimates at each iteration
*/
ierr = PetscOptionsString("-eps_monitor","Monitor approximate eigenvalues and error estimates","EPSMonitorSet","stdout",monfilename,PETSC_MAX_PATH_LEN,&flg);CHKERRQ(ierr);
if (flg) {
ierr = PetscViewerASCIIOpen(((PetscObject)eps)->comm,monfilename,&monviewer);CHKERRQ(ierr);
ierr = EPSMonitorSet(eps,EPSMonitorDefault,monviewer,(PetscErrorCode (*)(void*))PetscViewerDestroy);CHKERRQ(ierr);
}
ierr = PetscOptionsName("-eps_monitor_draw","Monitor error estimates graphically","EPSMonitorSet",&flg);CHKERRQ(ierr);
if (flg) {
ierr = EPSMonitorSet(eps,EPSMonitorLG,PETSC_NULL,PETSC_NULL);CHKERRQ(ierr);
}
/* -----------------------------------------------------------------------*/
ierr = PetscOptionsTruthGroupBegin("-eps_largest_magnitude","compute largest eigenvalues in magnitude","EPSSetWhichEigenpairs",&flg);CHKERRQ(ierr);
if (flg) {ierr = EPSSetWhichEigenpairs(eps,EPS_LARGEST_MAGNITUDE);CHKERRQ(ierr);}
ierr = PetscOptionsTruthGroup("-eps_smallest_magnitude","compute smallest eigenvalues in magnitude","EPSSetWhichEigenpairs",&flg);CHKERRQ(ierr);
if (flg) {ierr = EPSSetWhichEigenpairs(eps,EPS_SMALLEST_MAGNITUDE);CHKERRQ(ierr);}
ierr = PetscOptionsTruthGroup("-eps_largest_real","compute largest real parts","EPSSetWhichEigenpairs",&flg);CHKERRQ(ierr);
if (flg) {ierr = EPSSetWhichEigenpairs(eps,EPS_LARGEST_REAL);CHKERRQ(ierr);}
ierr = PetscOptionsTruthGroup("-eps_smallest_real","compute smallest real parts","EPSSetWhichEigenpairs",&flg);CHKERRQ(ierr);
if (flg) {ierr = EPSSetWhichEigenpairs(eps,EPS_SMALLEST_REAL);CHKERRQ(ierr);}
ierr = PetscOptionsTruthGroup("-eps_largest_imaginary","compute largest imaginary parts","EPSSetWhichEigenpairs",&flg);CHKERRQ(ierr);
if (flg) {ierr = EPSSetWhichEigenpairs(eps,EPS_LARGEST_IMAGINARY);CHKERRQ(ierr);}
ierr = PetscOptionsTruthGroupEnd("-eps_smallest_imaginary","compute smallest imaginary parts","EPSSetWhichEigenpairs",&flg);CHKERRQ(ierr);
if (flg) {ierr = EPSSetWhichEigenpairs(eps,EPS_SMALLEST_IMAGINARY);CHKERRQ(ierr);}
ierr = PetscOptionsName("-eps_view","Print detailed information on solver used","EPSView",0);CHKERRQ(ierr);
ierr = PetscOptionsName("-eps_view_binary","Save the matrices associated to the eigenproblem","EPSSetFromOptions",0);CHKERRQ(ierr);
ierr = PetscOptionsName("-eps_plot_eigs","Make a plot of the computed eigenvalues","EPSSolve",0);CHKERRQ(ierr);
if (eps->ops->setfromoptions) {
ierr = (*eps->ops->setfromoptions)(eps);CHKERRQ(ierr);
}
ierr = PetscOptionsEnd();CHKERRQ(ierr);
ierr = IPSetFromOptions(eps->ip); CHKERRQ(ierr);
ierr = STSetFromOptions(eps->OP); CHKERRQ(ierr);
PetscFunctionReturn(0);
}
#undef __FUNCT__
#define __FUNCT__ "EPSGetTolerances"
/*@
EPSGetTolerances - Gets the tolerance and maximum
iteration count used by the default EPS convergence tests.
Not Collective
Input Parameter:
. eps - the eigensolver context
Output Parameters:
+ tol - the convergence tolerance
- maxits - maximum number of iterations
Notes:
The user can specify PETSC_NULL for any parameter that is not needed.
Level: intermediate
.seealso: EPSSetTolerances()
@*/
PetscErrorCode EPSGetTolerances(EPS eps,PetscReal *tol,int *maxits)
{
PetscFunctionBegin;
PetscValidHeaderSpecific(eps,EPS_COOKIE,1);
if (tol) *tol = eps->tol;
if (maxits) *maxits = eps->max_it;
PetscFunctionReturn(0);
}
#undef __FUNCT__
#define __FUNCT__ "EPSSetTolerances"
/*@
EPSSetTolerances - Sets the tolerance and maximum
iteration count used by the default EPS convergence testers.
Collective on EPS
Input Parameters:
+ eps - the eigensolver context
. tol - the convergence tolerance
- maxits - maximum number of iterations to use
Options Database Keys:
+ -eps_tol <tol> - Sets the convergence tolerance
- -eps_max_it <maxits> - Sets the maximum number of iterations allowed
Notes:
Use PETSC_IGNORE for an argument that need not be changed.
Use PETSC_DECIDE for maxits to assign a reasonably good value, which is
dependent on the solution method.
Level: intermediate
.seealso: EPSGetTolerances()
@*/
PetscErrorCode EPSSetTolerances(EPS eps,PetscReal tol,int maxits)
{
PetscFunctionBegin;
PetscValidHeaderSpecific(eps,EPS_COOKIE,1);
if (tol != PETSC_IGNORE) {
if (tol == PETSC_DEFAULT) {
eps->tol = 1e-7;
} else {
if (tol < 0.0) SETERRQ(PETSC_ERR_ARG_OUTOFRANGE,"Illegal value of tol. Must be > 0");
eps->tol = tol;
}
}
if (maxits != PETSC_IGNORE) {
if (maxits == PETSC_DEFAULT || maxits == PETSC_DECIDE) {
eps->max_it = 0;
} else {
if (maxits < 0) SETERRQ(PETSC_ERR_ARG_OUTOFRANGE,"Illegal value of maxits. Must be > 0");
eps->max_it = maxits;
}
}
PetscFunctionReturn(0);
}
#undef __FUNCT__
#define __FUNCT__ "EPSGetDimensions"
/*@
EPSGetDimensions - Gets the number of eigenvalues to compute
and the dimension of the subspace.
Not Collective
Input Parameter:
. eps - the eigensolver context
Output Parameters:
+ nev - number of eigenvalues to compute
- ncv - the maximum dimension of the subspace to be used by the solver
Notes:
The user can specify PETSC_NULL for any parameter that is not needed.
Level: intermediate
.seealso: EPSSetDimensions()
@*/
PetscErrorCode EPSGetDimensions(EPS eps,int *nev,int *ncv)
{
PetscFunctionBegin;
PetscValidHeaderSpecific(eps,EPS_COOKIE,1);
if( nev ) *nev = eps->nev;
if( ncv ) *ncv = eps->ncv;
PetscFunctionReturn(0);
}
#undef __FUNCT__
#define __FUNCT__ "EPSSetDimensions"
/*@
EPSSetDimensions - Sets the number of eigenvalues to compute
and the dimension of the subspace.
Collective on EPS
Input Parameters:
+ eps - the eigensolver context
. nev - number of eigenvalues to compute
- ncv - the maximum dimension of the subspace to be used by the solver
Options Database Keys:
+ -eps_nev <nev> - Sets the number of eigenvalues
- -eps_ncv <ncv> - Sets the dimension of the subspace
Notes:
Use PETSC_IGNORE to retain the previous value of any parameter.
Use PETSC_DECIDE for ncv to assign a reasonably good value, which is
dependent on the solution method.
Level: intermediate
.seealso: EPSGetDimensions()
@*/
PetscErrorCode EPSSetDimensions(EPS eps,int nev,int ncv)
{
PetscFunctionBegin;
PetscValidHeaderSpecific(eps,EPS_COOKIE,1);
if( nev != PETSC_IGNORE ) {
if (nev<1) SETERRQ(PETSC_ERR_ARG_OUTOFRANGE,"Illegal value of nev. Must be > 0");
eps->nev = nev;
eps->setupcalled = 0;
}
if( ncv != PETSC_IGNORE ) {
if (ncv == PETSC_DECIDE || ncv == PETSC_DEFAULT) {
eps->ncv = 0;
} else {
if (ncv<1) SETERRQ(PETSC_ERR_ARG_OUTOFRANGE,"Illegal value of ncv. Must be > 0");
eps->ncv = ncv;
}
eps->setupcalled = 0;
}
PetscFunctionReturn(0);
}
#undef __FUNCT__
#define __FUNCT__ "EPSSetWhichEigenpairs"
/*@
EPSSetWhichEigenpairs - Specifies which portion of the spectrum is
to be sought.
Collective on EPS
Input Parameter:
. eps - eigensolver context obtained from EPSCreate()
Output Parameter:
. which - the portion of the spectrum to be sought
Possible values:
The parameter 'which' can have one of these values:
+ EPS_LARGEST_MAGNITUDE - largest eigenvalues in magnitude (default)
. EPS_SMALLEST_MAGNITUDE - smallest eigenvalues in magnitude
. EPS_LARGEST_REAL - largest real parts
. EPS_SMALLEST_REAL - smallest real parts
. EPS_LARGEST_IMAGINARY - largest imaginary parts
- EPS_SMALLEST_IMAGINARY - smallest imaginary parts
Options Database Keys:
+ -eps_largest_magnitude - Sets largest eigenvalues in magnitude
. -eps_smallest_magnitude - Sets smallest eigenvalues in magnitude
. -eps_largest_real - Sets largest real parts
. -eps_smallest_real - Sets smallest real parts
. -eps_largest_imaginary - Sets largest imaginary parts in magnitude
- -eps_smallest_imaginary - Sets smallest imaginary parts in magnitude
Notes:
Not all eigensolvers implemented in EPS account for all the possible values
stated above. Also, some values make sense only for certain types of
problems. If SLEPc is compiled for real numbers EPS_LARGEST_IMAGINARY
and EPS_SMALLEST_IMAGINARY use the absolute value of the imaginary part
for eigenvalue selection.
Level: intermediate
.seealso: EPSGetWhichEigenpairs(), EPSSortEigenvalues(), EPSWhich
@*/
PetscErrorCode EPSSetWhichEigenpairs(EPS eps,EPSWhich which)
{
PetscFunctionBegin;
PetscValidHeaderSpecific(eps,EPS_COOKIE,1);
switch (which) {
case EPS_LARGEST_MAGNITUDE:
case EPS_SMALLEST_MAGNITUDE:
case EPS_LARGEST_REAL:
case EPS_SMALLEST_REAL:
case EPS_LARGEST_IMAGINARY:
case EPS_SMALLEST_IMAGINARY:
if (eps->which != which) {
eps->setupcalled = 0;
eps->which = which;
}
break;
default:
SETERRQ(PETSC_ERR_ARG_OUTOFRANGE,"Invalid 'which' value");
}
PetscFunctionReturn(0);
}
#undef __FUNCT__
#define __FUNCT__ "EPSGetWhichEigenpairs"
/*@C
EPSGetWhichEigenpairs - Returns which portion of the spectrum is to be
sought.
Not Collective
Input Parameter:
. eps - eigensolver context obtained from EPSCreate()
Output Parameter:
. which - the portion of the spectrum to be sought
Notes:
See EPSSetWhichEigenpairs() for possible values of which
Level: intermediate
.seealso: EPSSetWhichEigenpairs(), EPSWhich
@*/
PetscErrorCode EPSGetWhichEigenpairs(EPS eps,EPSWhich *which)
{
PetscFunctionBegin;
PetscValidHeaderSpecific(eps,EPS_COOKIE,1);
PetscValidPointer(which,2);
*which = eps->which;
PetscFunctionReturn(0);
}
#undef __FUNCT__
#define __FUNCT__ "EPSSetProblemType"
/*@
EPSSetProblemType - Specifies the type of the eigenvalue problem.
Collective on EPS
Input Parameters:
+ eps - the eigensolver context
- type - a known type of eigenvalue problem
Options Database Keys:
+ -eps_hermitian - Hermitian eigenvalue problem
. -eps_gen_hermitian - generalized Hermitian eigenvalue problem
. -eps_non_hermitian - non-Hermitian eigenvalue problem
- -eps_gen_non_hermitian - generalized non-Hermitian eigenvalue problem
Note:
Allowed values for the problem type are: Hermitian (EPS_HEP), non-Hermitian
(EPS_NHEP), generalized Hermitian (EPS_GHEP) and generalized non-Hermitian
(EPS_GNHEP).
This function must be used to instruct SLEPc to exploit symmetry. If no
problem type is specified, by default a non-Hermitian problem is assumed
(either standard or generalized). If the user knows that the problem is
Hermitian (i.e. A=A^H) of generalized Hermitian (i.e. A=A^H, B=B^H, and
B positive definite) then it is recommended to set the problem type so
that eigensolver can exploit these properties.
Level: beginner
.seealso: EPSSetOperators(), EPSSetType(), EPSGetProblemType(), EPSProblemType
@*/
PetscErrorCode EPSSetProblemType(EPS eps,EPSProblemType type)
{
PetscFunctionBegin;
PetscValidHeaderSpecific(eps,EPS_COOKIE,1);
switch (type) {
case EPS_HEP:
eps->isgeneralized = PETSC_FALSE;
eps->ishermitian = PETSC_TRUE;
eps->ispositive = PETSC_FALSE;
break;
case EPS_NHEP:
eps->isgeneralized = PETSC_FALSE;
eps->ishermitian = PETSC_FALSE;
eps->ispositive = PETSC_FALSE;
break;
case EPS_GHEP:
eps->isgeneralized = PETSC_TRUE;
eps->ishermitian = PETSC_TRUE;
eps->ispositive = PETSC_TRUE;
break;
case EPS_GNHEP:
eps->isgeneralized = PETSC_TRUE;
eps->ishermitian = PETSC_FALSE;
eps->ispositive = PETSC_FALSE;
break;
case EPS_PGNHEP:
eps->isgeneralized = PETSC_TRUE;
eps->ishermitian = PETSC_FALSE;
eps->ispositive = PETSC_TRUE;
break;
/*
case EPS_CSEP:
eps->isgeneralized = PETSC_FALSE;
eps->ishermitian = PETSC_FALSE;
ierr = STSetBilinearForm(eps->OP,STINNER_SYMMETRIC);CHKERRQ(ierr);
break;
case EPS_GCSEP:
eps->isgeneralized = PETSC_TRUE;
eps->ishermitian = PETSC_FALSE;
ierr = STSetBilinearForm(eps->OP,STINNER_B_SYMMETRIC);CHKERRQ(ierr);
break;
*/
default:
SETERRQ(PETSC_ERR_ARG_WRONG,"Unknown eigenvalue problem type");
}
eps->problem_type = type;
PetscFunctionReturn(0);
}
#undef __FUNCT__
#define __FUNCT__ "EPSGetProblemType"
/*@C
EPSGetProblemType - Gets the problem type from the EPS object.
Not Collective
Input Parameter:
. eps - the eigensolver context
Output Parameter:
. type - name of EPS problem type
Level: intermediate
.seealso: EPSSetProblemType(), EPSProblemType
@*/
PetscErrorCode EPSGetProblemType(EPS eps,EPSProblemType *type)
{
PetscFunctionBegin;
PetscValidHeaderSpecific(eps,EPS_COOKIE,1);
PetscValidPointer(type,2);
*type = eps->problem_type;
PetscFunctionReturn(0);
}
#undef __FUNCT__
#define __FUNCT__ "EPSSetClass"
/*@
EPSSetClass - Specifies the eigensolver class: either one-sided or two-sided.
Collective on EPS
Input Parameters:
+ eps - the eigensolver context
- class - the class of solver
Options Database Keys:
+ -eps_oneside - one-sided solver
- -eps_twoside - two-sided solver
Note:
Allowed solver classes are: one-sided (EPS_ONE_SIDE) and two-sided (EPS_TWO_SIDE).
One-sided eigensolvers are the standard ones, which allow the computation of
eigenvalues and (right) eigenvectors, whereas two-sided eigensolvers compute
left eigenvectors as well.
Level: intermediate
.seealso: EPSGetLeftVector(), EPSComputeRelativeErrorLeft(), EPSSetLeftInitialVector(),
EPSGetClass(), EPSClass
@*/
PetscErrorCode EPSSetClass(EPS eps,EPSClass cl)
{
PetscErrorCode ierr;
PetscFunctionBegin;
PetscValidHeaderSpecific(eps,EPS_COOKIE,1);
if (cl != EPS_ONE_SIDE && cl != EPS_TWO_SIDE) SETERRQ(PETSC_ERR_ARG_WRONG,"Unknown eigensolver class");
if (eps->solverclass!=cl) {
if (eps->solverclass == EPS_TWO_SIDE) { ierr = EPSFreeSolution(eps);CHKERRQ(ierr); }
eps->solverclass = cl;
}
PetscFunctionReturn(0);
}
#undef __FUNCT__
#define __FUNCT__ "EPSGetClass"
/*@C
EPSGetClass - Gets the eigensolver class from the EPS object.
Not Collective
Input Parameter:
. eps - the eigensolver context
Output Parameter:
. class - class of EPS solver (either one-sided or two-sided)
Level: intermediate
.seealso: EPSSetClass(), EPSClass
@*/
PetscErrorCode EPSGetClass(EPS eps,EPSClass *cl)
{
PetscFunctionBegin;
PetscValidHeaderSpecific(eps,EPS_COOKIE,1);
PetscValidPointer(cl,2);
*cl = eps->solverclass;
PetscFunctionReturn(0);
}
#undef __FUNCT__
#define __FUNCT__ "EPSSetOptionsPrefix"
/*@C
EPSSetOptionsPrefix - Sets the prefix used for searching for all
EPS options in the database.
Collective on EPS
Input Parameters:
+ eps - the eigensolver context
- prefix - the prefix string to prepend to all EPS option requests
Notes:
A hyphen (-) must NOT be given at the beginning of the prefix name.
The first character of all runtime options is AUTOMATICALLY the
hyphen.
For example, to distinguish between the runtime options for two
different EPS contexts, one could call
.vb
EPSSetOptionsPrefix(eps1,"eig1_")
EPSSetOptionsPrefix(eps2,"eig2_")
.ve
Level: advanced
.seealso: EPSAppendOptionsPrefix(), EPSGetOptionsPrefix()
@*/
PetscErrorCode EPSSetOptionsPrefix(EPS eps,const char *prefix)
{
PetscErrorCode ierr;
PetscFunctionBegin;
PetscValidHeaderSpecific(eps,EPS_COOKIE,1);
ierr = PetscObjectSetOptionsPrefix((PetscObject)eps, prefix);CHKERRQ(ierr);
ierr = STSetOptionsPrefix(eps->OP,prefix);CHKERRQ(ierr);
ierr = IPSetOptionsPrefix(eps->ip,prefix);CHKERRQ(ierr);
ierr = IPAppendOptionsPrefix(eps->ip,"eps_");CHKERRQ(ierr);
PetscFunctionReturn(0);
}
#undef __FUNCT__
#define __FUNCT__ "EPSAppendOptionsPrefix"
/*@C
EPSAppendOptionsPrefix - Appends to the prefix used for searching for all
EPS options in the database.
Collective on EPS
Input Parameters:
+ eps - the eigensolver context
- prefix - the prefix string to prepend to all EPS option requests
Notes:
A hyphen (-) must NOT be given at the beginning of the prefix name.
The first character of all runtime options is AUTOMATICALLY the hyphen.
Level: advanced
.seealso: EPSSetOptionsPrefix(), EPSGetOptionsPrefix()
@*/
PetscErrorCode EPSAppendOptionsPrefix(EPS eps,const char *prefix)
{
PetscErrorCode ierr;
PetscFunctionBegin;
PetscValidHeaderSpecific(eps,EPS_COOKIE,1);
ierr = PetscObjectAppendOptionsPrefix((PetscObject)eps, prefix);CHKERRQ(ierr);
ierr = STAppendOptionsPrefix(eps->OP,prefix); CHKERRQ(ierr);
ierr = IPSetOptionsPrefix(eps->ip,prefix);CHKERRQ(ierr);
ierr = IPAppendOptionsPrefix(eps->ip,"eps_");CHKERRQ(ierr);
PetscFunctionReturn(0);
}
#undef __FUNCT__
#define __FUNCT__ "EPSGetOptionsPrefix"
/*@C
EPSGetOptionsPrefix - Gets the prefix used for searching for all
EPS options in the database.
Not Collective
Input Parameters:
. eps - the eigensolver context
Output Parameters:
. prefix - pointer to the prefix string used is returned
Notes: On the fortran side, the user should pass in a string 'prefix' of
sufficient length to hold the prefix.
Level: advanced
.seealso: EPSSetOptionsPrefix(), EPSAppendOptionsPrefix()
@*/
PetscErrorCode EPSGetOptionsPrefix(EPS eps,const char *prefix[])
{
PetscErrorCode ierr;
PetscFunctionBegin;
PetscValidHeaderSpecific(eps,EPS_COOKIE,1);
PetscValidPointer(prefix,2);
ierr = PetscObjectGetOptionsPrefix((PetscObject)eps, prefix);CHKERRQ(ierr);
PetscFunctionReturn(0);
}