/*
QEP routines related to problem setup.
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SLEPc - Scalable Library for Eigenvalue Problem Computations
Copyright (c) 2002-2011, Universitat Politecnica de Valencia, Spain
This file is part of SLEPc.
SLEPc is free software: you can redistribute it and/or modify it under the
terms of version 3 of the GNU Lesser General Public License as published by
the Free Software Foundation.
SLEPc is distributed in the hope that it will be useful, but WITHOUT ANY
WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS
FOR A PARTICULAR PURPOSE. See the GNU Lesser General Public License for
more details.
You should have received a copy of the GNU Lesser General Public License
along with SLEPc. If not, see <http://www.gnu.org/licenses/>.
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*/
#include <private/qepimpl.h> /*I "slepcqep.h" I*/
#include <private/ipimpl.h> /*I "slepcip.h" I*/
#undef __FUNCT__
#define __FUNCT__ "QEPSetUp"
/*@
QEPSetUp - Sets up all the internal data structures necessary for the
execution of the QEP solver.
Collective on QEP
Input Parameter:
. qep - solver context
Notes:
This function need not be called explicitly in most cases, since QEPSolve()
calls it. It can be useful when one wants to measure the set-up time
separately from the solve time.
Level: advanced
.seealso: QEPCreate(), QEPSolve(), QEPDestroy()
@*/
PetscErrorCode QEPSetUp(QEP qep)
{
PetscErrorCode ierr;
PetscInt i,k;
PetscBool khas,mhas,lindep;
PetscReal knorm,mnorm,norm;
PetscFunctionBegin;
PetscValidHeaderSpecific(qep,QEP_CLASSID,1);
if (qep->setupcalled) PetscFunctionReturn(0);
ierr = PetscLogEventBegin(QEP_SetUp,qep,0,0,0);CHKERRQ(ierr);
/* Set default solver type (QEPSetFromOptions was not called) */
if (!((PetscObject)qep)->type_name) {
ierr = QEPSetType(qep,QEPLINEAR);CHKERRQ(ierr);
}
if (!qep->ip) { ierr = QEPGetIP(qep,&qep->ip);CHKERRQ(ierr); }
if (!((PetscObject)qep->ip)->type_name) {
ierr = IPSetDefaultType_Private(qep->ip);CHKERRQ(ierr);
}
if (!((PetscObject)qep->rand)->type_name) {
ierr = PetscRandomSetFromOptions(qep->rand);CHKERRQ(ierr);
}
/* Check matrices */
if (!qep->M || !qep->C || !qep->K)
SETERRQ(((PetscObject)qep)->comm,PETSC_ERR_ARG_WRONGSTATE,"QEPSetOperators must be called first");
/* Set problem dimensions */
ierr = MatGetSize(qep->M,&qep->n,PETSC_NULL);CHKERRQ(ierr);
ierr = MatGetLocalSize(qep->M,&qep->nloc,PETSC_NULL);CHKERRQ(ierr);
ierr = VecDestroy(&qep->t);CHKERRQ(ierr);
ierr = SlepcMatGetVecsTemplate(qep->M,&qep->t,PETSC_NULL);CHKERRQ(ierr);
/* Set default problem type */
if (!qep->problem_type) {
ierr = QEPSetProblemType(qep,QEP_GENERAL);CHKERRQ(ierr);
}
/* Compute scaling factor if not set by user */
if (qep->sfactor==0.0) {
ierr = MatHasOperation(qep->K,MATOP_NORM,&khas);CHKERRQ(ierr);
ierr = MatHasOperation(qep->M,MATOP_NORM,&mhas);CHKERRQ(ierr);
if (khas && mhas) {
ierr = MatNorm(qep->K,NORM_INFINITY,&knorm);CHKERRQ(ierr);
ierr = MatNorm(qep->M,NORM_INFINITY,&mnorm);CHKERRQ(ierr);
qep->sfactor = PetscSqrtReal(knorm/mnorm);
}
else qep->sfactor = 1.0;
}
/* Call specific solver setup */
ierr = (*qep->ops->setup)(qep);CHKERRQ(ierr);
if (qep->ncv > 2*qep->n)
SETERRQ(((PetscObject)qep)->comm,PETSC_ERR_ARG_OUTOFRANGE,"ncv must be twice the problem size at most");
if (qep->nev > qep->ncv)
SETERRQ(((PetscObject)qep)->comm,PETSC_ERR_ARG_OUTOFRANGE,"nev bigger than ncv");
/* process initial vectors */
if (qep->nini<0) {
qep->nini = -qep->nini;
if (qep->nini>qep->ncv) SETERRQ(((PetscObject)qep)->comm,1,"The number of initial vectors is larger than ncv");
k = 0;
for (i=0;i<qep->nini;i++) {
ierr = VecCopy(qep->IS[i],qep->V[k]);CHKERRQ(ierr);
ierr = VecDestroy(&qep->IS[i]);CHKERRQ(ierr);
ierr = IPOrthogonalize(qep->ip,0,PETSC_NULL,k,PETSC_NULL,qep->V,qep->V[k],PETSC_NULL,&norm,&lindep);CHKERRQ(ierr);
if (norm==0.0 || lindep) PetscInfo(qep,"Linearly dependent initial vector found, removing...\n");
else {
ierr = VecScale(qep->V[k],1.0/norm);CHKERRQ(ierr);
k++;
}
}
qep->nini = k;
ierr = PetscFree(qep->IS);CHKERRQ(ierr);
}
if (qep->ninil<0) {
if (!qep->leftvecs) PetscInfo(qep,"Ignoring initial left vectors\n");
else {
qep->ninil = -qep->ninil;
if (qep->ninil>qep->ncv) SETERRQ(((PetscObject)qep)->comm,1,"The number of initial left vectors is larger than ncv");
k = 0;
for (i=0;i<qep->ninil;i++) {
ierr = VecCopy(qep->ISL[i],qep->W[k]);CHKERRQ(ierr);
ierr = VecDestroy(&qep->ISL[i]);CHKERRQ(ierr);
ierr = IPOrthogonalize(qep->ip,0,PETSC_NULL,k,PETSC_NULL,qep->W,qep->W[k],PETSC_NULL,&norm,&lindep);CHKERRQ(ierr);
if (norm==0.0 || lindep) PetscInfo(qep,"Linearly dependent initial left vector found, removing...\n");
else {
ierr = VecScale(qep->W[k],1.0/norm);CHKERRQ(ierr);
k++;
}
}
qep->ninil = k;
ierr = PetscFree(qep->ISL);CHKERRQ(ierr);
}
}
ierr = PetscLogEventEnd(QEP_SetUp,qep,0,0,0);CHKERRQ(ierr);
qep->setupcalled = 1;
PetscFunctionReturn(0);
}
#undef __FUNCT__
#define __FUNCT__ "QEPSetOperators"
/*@
QEPSetOperators - Sets the matrices associated with the quadratic eigenvalue problem.
Collective on QEP and Mat
Input Parameters:
+ qep - the eigenproblem solver context
. M - the first coefficient matrix
. C - the second coefficient matrix
- K - the third coefficient matrix
Notes:
The quadratic eigenproblem is defined as (l^2*M + l*C + K)*x = 0, where l is
the eigenvalue and x is the eigenvector.
Level: beginner
.seealso: QEPSolve(), QEPGetOperators()
@*/
PetscErrorCode QEPSetOperators(QEP qep,Mat M,Mat C,Mat K)
{
PetscErrorCode ierr;
PetscInt m,n,m0;
PetscFunctionBegin;
PetscValidHeaderSpecific(qep,QEP_CLASSID,1);
PetscValidHeaderSpecific(M,MAT_CLASSID,2);
PetscValidHeaderSpecific(C,MAT_CLASSID,3);
PetscValidHeaderSpecific(K,MAT_CLASSID,4);
PetscCheckSameComm(qep,1,M,2);
PetscCheckSameComm(qep,1,C,3);
PetscCheckSameComm(qep,1,K,4);
/* Check for square matrices */
ierr = MatGetSize(M,&m,&n);CHKERRQ(ierr);
if (m!=n) { SETERRQ(((PetscObject)qep)->comm,1,"M is a non-square matrix"); }
m0=m;
ierr = MatGetSize(C,&m,&n);CHKERRQ(ierr);
if (m!=n) { SETERRQ(((PetscObject)qep)->comm,1,"C is a non-square matrix"); }
if (m!=m0) { SETERRQ(((PetscObject)qep)->comm,1,"Dimensions of M and C do not match"); }
ierr = MatGetSize(K,&m,&n);CHKERRQ(ierr);
if (m!=n) { SETERRQ(((PetscObject)qep)->comm,1,"K is a non-square matrix"); }
if (m!=m0) { SETERRQ(((PetscObject)qep)->comm,1,"Dimensions of M and K do not match"); }
/* Store a copy of the matrices */
if (qep->setupcalled) { ierr = QEPReset(qep);CHKERRQ(ierr); }
ierr = PetscObjectReference((PetscObject)M);CHKERRQ(ierr);
ierr = MatDestroy(&qep->M);CHKERRQ(ierr);
qep->M = M;
ierr = PetscObjectReference((PetscObject)C);CHKERRQ(ierr);
ierr = MatDestroy(&qep->C);CHKERRQ(ierr);
qep->C = C;
ierr = PetscObjectReference((PetscObject)K);CHKERRQ(ierr);
ierr = MatDestroy(&qep->K);CHKERRQ(ierr);
qep->K = K;
PetscFunctionReturn(0);
}
#undef __FUNCT__
#define __FUNCT__ "QEPGetOperators"
/*@
QEPGetOperators - Gets the matrices associated with the quadratic eigensystem.
Collective on QEP and Mat
Input Parameter:
. qep - the QEP context
Output Parameters:
+ M - the first coefficient matrix
. C - the second coefficient matrix
- K - the third coefficient matrix
Level: intermediate
.seealso: QEPSolve(), QEPSetOperators()
@*/
PetscErrorCode QEPGetOperators(QEP qep,Mat *M,Mat *C,Mat *K)
{
PetscFunctionBegin;
PetscValidHeaderSpecific(qep,QEP_CLASSID,1);
if (M) { PetscValidPointer(M,2); *M = qep->M; }
if (C) { PetscValidPointer(C,3); *C = qep->C; }
if (K) { PetscValidPointer(K,4); *K = qep->K; }
PetscFunctionReturn(0);
}
#undef __FUNCT__
#define __FUNCT__ "QEPSetInitialSpace"
/*@
QEPSetInitialSpace - Specify a basis of vectors that constitute the initial
space, that is, the subspace from which the solver starts to iterate.
Collective on QEP and Vec
Input Parameter:
+ qep - the quadratic eigensolver context
. n - number of vectors
- is - set of basis vectors of the initial space
Notes:
Some solvers start to iterate on a single vector (initial vector). In that case,
the other vectors are ignored.
These vectors do not persist from one QEPSolve() call to the other, so the
initial space should be set every time.
The vectors do not need to be mutually orthonormal, since they are explicitly
orthonormalized internally.
Common usage of this function is when the user can provide a rough approximation
of the wanted eigenspace. Then, convergence may be faster.
Level: intermediate
.seealso: QEPSetInitialSpaceLeft()
@*/
PetscErrorCode QEPSetInitialSpace(QEP qep,PetscInt n,Vec *is)
{
PetscErrorCode ierr;
PetscInt i;
PetscFunctionBegin;
PetscValidHeaderSpecific(qep,QEP_CLASSID,1);
PetscValidLogicalCollectiveInt(qep,n,2);
if (n<0) SETERRQ(((PetscObject)qep)->comm,PETSC_ERR_ARG_OUTOFRANGE,"Argument n cannot be negative");
/* free previous non-processed vectors */
if (qep->nini<0) {
for (i=0;i<-qep->nini;i++) {
ierr = VecDestroy(&qep->IS[i]);CHKERRQ(ierr);
}
ierr = PetscFree(qep->IS);CHKERRQ(ierr);
}
/* get references of passed vectors */
ierr = PetscMalloc(n*sizeof(Vec),&qep->IS);CHKERRQ(ierr);
for (i=0;i<n;i++) {
ierr = PetscObjectReference((PetscObject)is[i]);CHKERRQ(ierr);
qep->IS[i] = is[i];
}
qep->nini = -n;
qep->setupcalled = 0;
PetscFunctionReturn(0);
}
#undef __FUNCT__
#define __FUNCT__ "QEPSetInitialSpaceLeft"
/*@
QEPSetInitialSpaceLeft - Specify a basis of vectors that constitute the initial
left space, that is, the subspace from which the solver starts to iterate for
building the left subspace (in methods that work with two subspaces).
Collective on QEP and Vec
Input Parameter:
+ qep - the quadratic eigensolver context
. n - number of vectors
- is - set of basis vectors of the initial left space
Notes:
Some solvers start to iterate on a single vector (initial left vector). In that case,
the other vectors are ignored.
These vectors do not persist from one QEPSolve() call to the other, so the
initial left space should be set every time.
The vectors do not need to be mutually orthonormal, since they are explicitly
orthonormalized internally.
Common usage of this function is when the user can provide a rough approximation
of the wanted left eigenspace. Then, convergence may be faster.
Level: intermediate
.seealso: QEPSetInitialSpace()
@*/
PetscErrorCode QEPSetInitialSpaceLeft(QEP qep,PetscInt n,Vec *is)
{
PetscErrorCode ierr;
PetscInt i;
PetscFunctionBegin;
PetscValidHeaderSpecific(qep,QEP_CLASSID,1);
PetscValidLogicalCollectiveInt(qep,n,2);
if (n<0) SETERRQ(((PetscObject)qep)->comm,PETSC_ERR_ARG_OUTOFRANGE,"Argument n cannot be negative");
/* free previous non-processed vectors */
if (qep->ninil<0) {
for (i=0;i<-qep->ninil;i++) {
ierr = VecDestroy(&qep->ISL[i]);CHKERRQ(ierr);
}
ierr = PetscFree(qep->ISL);CHKERRQ(ierr);
}
/* get references of passed vectors */
ierr = PetscMalloc(n*sizeof(Vec),&qep->ISL);CHKERRQ(ierr);
for (i=0;i<n;i++) {
ierr = PetscObjectReference((PetscObject)is[i]);CHKERRQ(ierr);
qep->ISL[i] = is[i];
}
qep->ninil = -n;
qep->setupcalled = 0;
PetscFunctionReturn(0);
}
#undef __FUNCT__
#define __FUNCT__ "QEPAllocateSolution"
/*
QEPAllocateSolution - Allocate memory storage for common variables such
as eigenvalues and eigenvectors. All vectors in V (and W) share a
contiguous chunk of memory.
*/
PetscErrorCode QEPAllocateSolution(QEP qep)
{
PetscErrorCode ierr;
PetscFunctionBegin;
if (qep->allocated_ncv != qep->ncv) {
ierr = QEPFreeSolution(qep);CHKERRQ(ierr);
ierr = PetscMalloc(qep->ncv*sizeof(PetscScalar),&qep->eigr);CHKERRQ(ierr);
ierr = PetscMalloc(qep->ncv*sizeof(PetscScalar),&qep->eigi);CHKERRQ(ierr);
ierr = PetscMalloc(qep->ncv*sizeof(PetscReal),&qep->errest);CHKERRQ(ierr);
ierr = PetscMalloc(qep->ncv*sizeof(PetscInt),&qep->perm);CHKERRQ(ierr);
ierr = VecDuplicateVecs(qep->t,qep->ncv,&qep->V);CHKERRQ(ierr);
qep->allocated_ncv = qep->ncv;
}
PetscFunctionReturn(0);
}
#undef __FUNCT__
#define __FUNCT__ "QEPFreeSolution"
/*
QEPFreeSolution - Free memory storage. This routine is related to
QEPAllocateSolution().
*/
PetscErrorCode QEPFreeSolution(QEP qep)
{
PetscErrorCode ierr;
PetscFunctionBegin;
if (qep->allocated_ncv > 0) {
ierr = PetscFree(qep->eigr);CHKERRQ(ierr);
ierr = PetscFree(qep->eigi);CHKERRQ(ierr);
ierr = PetscFree(qep->errest);CHKERRQ(ierr);
ierr = PetscFree(qep->perm);CHKERRQ(ierr);
ierr = VecDestroyVecs(qep->allocated_ncv,&qep->V);CHKERRQ(ierr);
qep->allocated_ncv = 0;
}
PetscFunctionReturn(0);
}