Line data Source code
1 : /*
2 : - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
3 : SLEPc - Scalable Library for Eigenvalue Problem Computations
4 : Copyright (c) 2002-, Universitat Politecnica de Valencia, Spain
5 :
6 : This file is part of SLEPc.
7 : SLEPc is distributed under a 2-clause BSD license (see LICENSE).
8 : - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
9 : */
10 : /*
11 : MFN routines related to problem setup
12 : */
13 :
14 : #include <slepc/private/mfnimpl.h> /*I "slepcmfn.h" I*/
15 :
16 : /*@
17 : MFNSetUp - Sets up all the internal data structures necessary for the
18 : execution of the matrix function solver.
19 :
20 : Collective
21 :
22 : Input Parameter:
23 : . mfn - matrix function context
24 :
25 : Notes:
26 : This function need not be called explicitly in most cases, since MFNSolve()
27 : calls it. It can be useful when one wants to measure the set-up time
28 : separately from the solve time.
29 :
30 : Level: developer
31 :
32 : .seealso: MFNCreate(), MFNSolve(), MFNDestroy()
33 : @*/
34 101 : PetscErrorCode MFNSetUp(MFN mfn)
35 : {
36 101 : PetscInt N;
37 :
38 101 : PetscFunctionBegin;
39 101 : PetscValidHeaderSpecific(mfn,MFN_CLASSID,1);
40 :
41 : /* reset the convergence flag from the previous solves */
42 101 : mfn->reason = MFN_CONVERGED_ITERATING;
43 :
44 101 : if (mfn->setupcalled) PetscFunctionReturn(PETSC_SUCCESS);
45 17 : PetscCall(PetscLogEventBegin(MFN_SetUp,mfn,0,0,0));
46 :
47 : /* Set default solver type (MFNSetFromOptions was not called) */
48 17 : if (!((PetscObject)mfn)->type_name) PetscCall(MFNSetType(mfn,MFNKRYLOV));
49 17 : if (!mfn->fn) PetscCall(MFNGetFN(mfn,&mfn->fn));
50 17 : if (!((PetscObject)mfn->fn)->type_name) PetscCall(FNSetFromOptions(mfn->fn));
51 :
52 : /* Check problem dimensions */
53 17 : PetscCheck(mfn->A,PetscObjectComm((PetscObject)mfn),PETSC_ERR_ARG_WRONGSTATE,"MFNSetOperator must be called first");
54 17 : PetscCall(MatGetSize(mfn->A,&N,NULL));
55 17 : if (mfn->ncv > N) mfn->ncv = N;
56 :
57 : /* call specific solver setup */
58 17 : PetscUseTypeMethod(mfn,setup);
59 :
60 : /* set tolerance if not yet set */
61 17 : if (mfn->tol==(PetscReal)PETSC_DETERMINE) mfn->tol = SLEPC_DEFAULT_TOL;
62 :
63 17 : PetscCall(PetscLogEventEnd(MFN_SetUp,mfn,0,0,0));
64 17 : mfn->setupcalled = 1;
65 17 : PetscFunctionReturn(PETSC_SUCCESS);
66 : }
67 :
68 : /*@
69 : MFNSetOperator - Sets the matrix for which the matrix function is to be computed.
70 :
71 : Collective
72 :
73 : Input Parameters:
74 : + mfn - the matrix function context
75 : - A - the problem matrix
76 :
77 : Notes:
78 : It must be called before MFNSetUp(). If it is called again after MFNSetUp() then
79 : the MFN object is reset.
80 :
81 : Level: beginner
82 :
83 : .seealso: MFNSolve(), MFNSetUp(), MFNReset()
84 : @*/
85 17 : PetscErrorCode MFNSetOperator(MFN mfn,Mat A)
86 : {
87 17 : PetscInt m,n;
88 :
89 17 : PetscFunctionBegin;
90 17 : PetscValidHeaderSpecific(mfn,MFN_CLASSID,1);
91 17 : PetscValidHeaderSpecific(A,MAT_CLASSID,2);
92 17 : PetscCheckSameComm(mfn,1,A,2);
93 :
94 17 : PetscCall(MatGetSize(A,&m,&n));
95 17 : PetscCheck(m==n,PetscObjectComm((PetscObject)mfn),PETSC_ERR_ARG_WRONG,"A is a non-square matrix");
96 17 : PetscCall(PetscObjectReference((PetscObject)A));
97 17 : if (mfn->setupcalled) PetscCall(MFNReset(mfn));
98 17 : else PetscCall(MatDestroy(&mfn->A));
99 17 : mfn->A = A;
100 17 : mfn->setupcalled = 0;
101 17 : PetscFunctionReturn(PETSC_SUCCESS);
102 : }
103 :
104 : /*@
105 : MFNGetOperator - Gets the matrix associated with the MFN object.
106 :
107 : Not Collective
108 :
109 : Input Parameter:
110 : . mfn - the MFN context
111 :
112 : Output Parameters:
113 : . A - the matrix for which the matrix function is to be computed
114 :
115 : Level: intermediate
116 :
117 : .seealso: MFNSolve(), MFNSetOperator()
118 : @*/
119 2 : PetscErrorCode MFNGetOperator(MFN mfn,Mat *A)
120 : {
121 2 : PetscFunctionBegin;
122 2 : PetscValidHeaderSpecific(mfn,MFN_CLASSID,1);
123 2 : PetscAssertPointer(A,2);
124 2 : *A = mfn->A;
125 2 : PetscFunctionReturn(PETSC_SUCCESS);
126 : }
127 :
128 : /*@
129 : MFNAllocateSolution - Allocate memory storage for common variables such
130 : as the basis vectors.
131 :
132 : Collective
133 :
134 : Input Parameters:
135 : + mfn - matrix function context
136 : - extra - number of additional positions, used for methods that require a
137 : working basis slightly larger than ncv
138 :
139 : Developer Notes:
140 : This is SLEPC_EXTERN because it may be required by user plugin MFN
141 : implementations.
142 :
143 : Level: developer
144 :
145 : .seealso: MFNSetUp()
146 : @*/
147 17 : PetscErrorCode MFNAllocateSolution(MFN mfn,PetscInt extra)
148 : {
149 17 : PetscInt oldsize,requested;
150 17 : Vec t;
151 :
152 17 : PetscFunctionBegin;
153 17 : requested = mfn->ncv + extra;
154 :
155 : /* oldsize is zero if this is the first time setup is called */
156 17 : PetscCall(BVGetSizes(mfn->V,NULL,NULL,&oldsize));
157 :
158 : /* allocate basis vectors */
159 17 : if (!mfn->V) PetscCall(MFNGetBV(mfn,&mfn->V));
160 17 : if (!oldsize) {
161 16 : if (!((PetscObject)mfn->V)->type_name) PetscCall(BVSetType(mfn->V,BVMAT));
162 16 : PetscCall(MatCreateVecsEmpty(mfn->A,&t,NULL));
163 16 : PetscCall(BVSetSizesFromVec(mfn->V,t,requested));
164 16 : PetscCall(VecDestroy(&t));
165 1 : } else PetscCall(BVResize(mfn->V,requested,PETSC_FALSE));
166 17 : PetscFunctionReturn(PETSC_SUCCESS);
167 : }
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