Actual source code: mfnsetup.c

slepc-3.6.1 2015-09-03
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  1: /*
  2:       MFN routines related to problem setup.

  4:    - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
  5:    SLEPc - Scalable Library for Eigenvalue Problem Computations
  6:    Copyright (c) 2002-2015, Universitat Politecnica de Valencia, Spain

  8:    This file is part of SLEPc.

 10:    SLEPc is free software: you can redistribute it and/or modify it under  the
 11:    terms of version 3 of the GNU Lesser General Public License as published by
 12:    the Free Software Foundation.

 14:    SLEPc  is  distributed in the hope that it will be useful, but WITHOUT  ANY
 15:    WARRANTY;  without even the implied warranty of MERCHANTABILITY or  FITNESS
 16:    FOR  A  PARTICULAR PURPOSE. See the GNU Lesser General Public  License  for
 17:    more details.

 19:    You  should have received a copy of the GNU Lesser General  Public  License
 20:    along with SLEPc. If not, see <http://www.gnu.org/licenses/>.
 21:    - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
 22: */

 24: #include <slepc/private/mfnimpl.h>       /*I "slepcmfn.h" I*/

 28: /*@
 29:    MFNSetUp - Sets up all the internal data structures necessary for the
 30:    execution of the matrix function solver.

 32:    Collective on MFN

 34:    Input Parameter:
 35: .  mfn   - matrix function context

 37:    Notes:
 38:    This function need not be called explicitly in most cases, since MFNSolve()
 39:    calls it. It can be useful when one wants to measure the set-up time
 40:    separately from the solve time.

 42:    Level: developer

 44: .seealso: MFNCreate(), MFNSolve(), MFNDestroy()
 45: @*/
 46: PetscErrorCode MFNSetUp(MFN mfn)
 47: {
 49:   PetscInt       N;


 54:   /* reset the convergence flag from the previous solves */
 55:   mfn->reason = MFN_CONVERGED_ITERATING;

 57:   if (mfn->setupcalled) return(0);
 58:   PetscLogEventBegin(MFN_SetUp,mfn,0,0,0);

 60:   /* Set default solver type (MFNSetFromOptions was not called) */
 61:   if (!((PetscObject)mfn)->type_name) {
 62:     MFNSetType(mfn,MFNKRYLOV);
 63:   }
 64:   if (!mfn->fn) { MFNGetFN(mfn,&mfn->fn); }
 65:   if (!((PetscObject)mfn->fn)->type_name) {
 66:     FNSetFromOptions(mfn->fn);
 67:   }
 68:   if (!((PetscObject)mfn->rand)->type_name) {
 69:     PetscRandomSetFromOptions(mfn->rand);
 70:   }

 72:   /* Check problem dimensions */
 73:   if (!mfn->A) SETERRQ(PetscObjectComm((PetscObject)mfn),PETSC_ERR_ARG_WRONGSTATE,"MFNSetOperator must be called first");
 74:   MatGetSize(mfn->A,&N,NULL);
 75:   if (mfn->ncv > N) mfn->ncv = N;

 77:   /* call specific solver setup */
 78:   (*mfn->ops->setup)(mfn);

 80:   /* set tolerance if not yet set */
 81:   if (mfn->tol==PETSC_DEFAULT) mfn->tol = SLEPC_DEFAULT_TOL;

 83:   PetscLogEventEnd(MFN_SetUp,mfn,0,0,0);
 84:   mfn->setupcalled = 1;
 85:   return(0);
 86: }

 90: /*@
 91:    MFNSetOperator - Sets the matrix for which the matrix function is to be computed.

 93:    Collective on MFN and Mat

 95:    Input Parameters:
 96: +  mfn - the matrix function context
 97: -  A   - the problem matrix

 99:    Notes:
100:    It must be called before MFNSetUp(). If it is called again after MFNSetUp() then
101:    the MFN object is reset.

103:    Level: beginner

105: .seealso: MFNSolve(), MFNSetUp(), MFNReset()
106: @*/
107: PetscErrorCode MFNSetOperator(MFN mfn,Mat A)
108: {
110:   PetscInt       m,n;


117:   MatGetSize(A,&m,&n);
118:   if (m!=n) SETERRQ(PetscObjectComm((PetscObject)mfn),PETSC_ERR_ARG_WRONG,"A is a non-square matrix");
119:   if (mfn->setupcalled) { MFNReset(mfn); }
120:   PetscObjectReference((PetscObject)A);
121:   MatDestroy(&mfn->A);
122:   mfn->A = A;
123:   return(0);
124: }

128: /*@
129:    MFNGetOperator - Gets the matrix associated with the MFN object.

131:    Collective on MFN and Mat

133:    Input Parameter:
134: .  mfn - the MFN context

136:    Output Parameters:
137: .  A  - the matrix for which the matrix function is to be computed

139:    Level: intermediate

141: .seealso: MFNSolve(), MFNSetOperator()
142: @*/
143: PetscErrorCode MFNGetOperator(MFN mfn,Mat *A)
144: {
148:   *A = mfn->A;
149:   return(0);
150: }

154: /*@
155:    MFNAllocateSolution - Allocate memory storage for common variables such
156:    as the basis vectors.

158:    Collective on MFN

160:    Input Parameters:
161: +  mfn   - eigensolver context
162: -  extra - number of additional positions, used for methods that require a
163:            working basis slightly larger than ncv

165:    Developers Note:
166:    This is PETSC_EXTERN because it may be required by user plugin MFN
167:    implementations.

169:    Level: developer
170: @*/
171: PetscErrorCode MFNAllocateSolution(MFN mfn,PetscInt extra)
172: {
174:   PetscInt       oldsize,requested;
175:   Vec            t;

178:   requested = mfn->ncv + extra;

180:   /* oldsize is zero if this is the first time setup is called */
181:   BVGetSizes(mfn->V,NULL,NULL,&oldsize);

183:   /* allocate basis vectors */
184:   if (!mfn->V) { MFNGetBV(mfn,&mfn->V); }
185:   if (!oldsize) {
186:     if (!((PetscObject)(mfn->V))->type_name) {
187:       BVSetType(mfn->V,BVSVEC);
188:     }
189:     MatCreateVecs(mfn->A,&t,NULL);
190:     BVSetSizesFromVec(mfn->V,t,requested);
191:     VecDestroy(&t);
192:   } else {
193:     BVResize(mfn->V,requested,PETSC_FALSE);
194:   }
195:   return(0);
196: }