| Line | Branch | Exec | Source |
|---|---|---|---|
| 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 | SLEPc eigensolver: "ciss" | ||
| 12 | |||
| 13 | Method: Contour Integral Spectral Slicing | ||
| 14 | |||
| 15 | Algorithm: | ||
| 16 | |||
| 17 | Contour integral based on Sakurai-Sugiura method to construct a | ||
| 18 | subspace, with various eigenpair extractions (Rayleigh-Ritz, | ||
| 19 | explicit moment). | ||
| 20 | |||
| 21 | Based on code contributed by Y. Maeda, T. Sakurai. | ||
| 22 | |||
| 23 | References: | ||
| 24 | |||
| 25 | [1] T. Sakurai and H. Sugiura, "A projection method for generalized | ||
| 26 | eigenvalue problems", J. Comput. Appl. Math. 159:119-128, 2003. | ||
| 27 | |||
| 28 | [2] T. Sakurai and H. Tadano, "CIRR: a Rayleigh-Ritz type method with | ||
| 29 | contour integral for generalized eigenvalue problems", Hokkaido | ||
| 30 | Math. J. 36:745-757, 2007. | ||
| 31 | */ | ||
| 32 | |||
| 33 | #include <slepc/private/epsimpl.h> /*I "slepceps.h" I*/ | ||
| 34 | #include <slepc/private/slepccontour.h> | ||
| 35 | #include <slepcblaslapack.h> | ||
| 36 | |||
| 37 | typedef struct { | ||
| 38 | /* user parameters */ | ||
| 39 | PetscInt N; /* number of integration points (32) */ | ||
| 40 | PetscInt L; /* block size (16) */ | ||
| 41 | PetscInt M; /* moment degree (N/4 = 4) */ | ||
| 42 | PetscReal delta; /* threshold of singular value (1e-12) */ | ||
| 43 | PetscInt L_max; /* maximum number of columns of the source matrix V */ | ||
| 44 | PetscReal spurious_threshold; /* discard spurious eigenpairs */ | ||
| 45 | PetscBool isreal; /* A and B are real */ | ||
| 46 | PetscInt npart; /* number of partitions */ | ||
| 47 | PetscInt refine_inner; | ||
| 48 | PetscInt refine_blocksize; | ||
| 49 | EPSCISSQuadRule quad; | ||
| 50 | EPSCISSExtraction extraction; | ||
| 51 | EPSCISSStrategy strategy; | ||
| 52 | /* private data */ | ||
| 53 | SlepcContourData contour; | ||
| 54 | PetscReal *sigma; /* threshold for numerical rank */ | ||
| 55 | PetscScalar *weight; | ||
| 56 | PetscScalar *omega; | ||
| 57 | PetscScalar *pp; | ||
| 58 | BV V; | ||
| 59 | BV S; | ||
| 60 | BV pV; | ||
| 61 | BV Y; | ||
| 62 | PetscBool useconj; | ||
| 63 | PetscObjectId rgid; | ||
| 64 | PetscObjectState rgstate; | ||
| 65 | } EPS_CISS; | ||
| 66 | |||
| 67 | /* initialize contour data structure */ | ||
| 68 | 5118 | static PetscErrorCode EPSCISSGetContour_Private(EPS eps,SlepcContourData *contour) | |
| 69 | { | ||
| 70 | 5118 | EPS_CISS *ctx = (EPS_CISS*)eps->data; | |
| 71 | |||
| 72 |
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5118 | PetscFunctionBegin; |
| 73 |
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5118 | if (!ctx->contour) { |
| 74 |
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345 | PetscCall(RGCanUseConjugates(eps->rg,ctx->isreal,&ctx->useconj)); |
| 75 |
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345 | PetscCall(SlepcContourDataCreate(ctx->useconj?ctx->N/2:ctx->N,ctx->npart,(PetscObject)eps,&ctx->contour)); |
| 76 | } | ||
| 77 |
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5118 | if (contour) *contour = ctx->contour; |
| 78 |
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1094 | PetscFunctionReturn(PETSC_SUCCESS); |
| 79 | } | ||
| 80 | /* | ||
| 81 | Set up KSP solvers for SPLIT strategy | ||
| 82 | */ | ||
| 83 | 157 | static PetscErrorCode EPSCISSSetUp_SPLIT(EPS eps,Mat A,Mat B,Mat Pa,Mat Pb) | |
| 84 | { | ||
| 85 | 157 | EPS_CISS *ctx = (EPS_CISS*)eps->data; | |
| 86 | 157 | SlepcContourData contour; | |
| 87 | 157 | PetscInt i,p_id,nsplit; | |
| 88 | 157 | Mat Amat,Pmat; | |
| 89 | 157 | MatStructure str,strp; | |
| 90 | |||
| 91 |
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157 | PetscFunctionBegin; |
| 92 |
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157 | PetscCall(EPSCISSGetContour_Private(eps,&contour)); |
| 93 |
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157 | PetscCall(STGetMatStructure(eps->st,&str)); |
| 94 |
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157 | PetscCall(STGetSplitPreconditionerInfo(eps->st,&nsplit,&strp)); |
| 95 |
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3601 | for (i=0;i<contour->npoints;i++) { |
| 96 | 3444 | p_id = i*contour->subcomm->n + contour->subcomm->color; | |
| 97 |
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3444 | PetscCall(MatDuplicate(A,MAT_COPY_VALUES,&Amat)); |
| 98 |
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3444 | if (B) PetscCall(MatAXPY(Amat,-ctx->omega[p_id],B,str)); |
| 99 |
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2268 | else PetscCall(MatShift(Amat,-ctx->omega[p_id])); |
| 100 |
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3444 | if (nsplit) { |
| 101 |
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640 | PetscCall(MatDuplicate(Pa,MAT_COPY_VALUES,&Pmat)); |
| 102 |
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640 | if (Pb) PetscCall(MatAXPY(Pmat,-ctx->omega[p_id],Pb,strp)); |
| 103 | ✗ | else PetscCall(MatShift(Pmat,-ctx->omega[p_id])); | |
| 104 | 2804 | } else Pmat = Amat; | |
| 105 |
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3444 | PetscCall(EPS_KSPSetOperators(contour->ksp[i],Amat,Pmat)); |
| 106 |
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3444 | if (eps->setfromoptionscalled) PetscCall(KSPSetFromOptions(contour->ksp[i])); |
| 107 |
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3444 | PetscCall(KSPSetUp(contour->ksp[i])); |
| 108 |
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3444 | PetscCall(MatDestroy(&Amat)); |
| 109 |
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3444 | if (nsplit) PetscCall(MatDestroy(&Pmat)); |
| 110 | } | ||
| 111 |
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35 | PetscFunctionReturn(PETSC_SUCCESS); |
| 112 | } | ||
| 113 | |||
| 114 | /* | ||
| 115 | Set up KSP solvers for MULTISHIFT strategy | ||
| 116 | */ | ||
| 117 | 70 | static PetscErrorCode EPSCISSSetUp_MULTISHIFT(EPS eps,Mat A,Mat B,Mat Pa,Mat Pb) | |
| 118 | { | ||
| 119 | 70 | EPS_CISS *ctx = (EPS_CISS*)eps->data; | |
| 120 | 70 | SlepcContourData contour; | |
| 121 | 70 | PetscInt i,p_id,nsplit,nshift; | |
| 122 | 70 | Mat Amat,Pmat; | |
| 123 | 70 | MatStructure str,strp; | |
| 124 | 70 | PetscScalar *sigma,*sigma_imaginary=NULL; | |
| 125 | 70 | PetscBool explicitmat = PETSC_FALSE; // TODO: add user option | |
| 126 | |||
| 127 |
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70 | PetscFunctionBegin; |
| 128 |
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70 | PetscCall(EPSCISSGetContour_Private(eps,&contour)); |
| 129 | 70 | nshift = contour->npoints; | |
| 130 |
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70 | PetscCall(PetscCalloc2(nshift,&sigma,nshift,&sigma_imaginary)); |
| 131 |
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1990 | for (i=0;i<nshift;i++) { |
| 132 | 1920 | p_id = i*contour->subcomm->n + contour->subcomm->color; | |
| 133 | 1920 | sigma[i] = -ctx->omega[p_id]; | |
| 134 | } | ||
| 135 |
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70 | PetscCall(STGetMatStructure(eps->st,&str)); |
| 136 |
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70 | PetscCall(STGetSplitPreconditionerInfo(eps->st,&nsplit,&strp)); |
| 137 |
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70 | PetscCall(MatCreateNestFromMultipleShifts(A,nshift,sigma,sigma_imaginary,B,explicitmat,str,&Amat)); |
| 138 |
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70 | if (nsplit) PetscCall(MatCreateNestFromMultipleShifts(Pa,nshift,sigma,sigma_imaginary,Pb,explicitmat,strp,&Pmat)); |
| 139 | 70 | else Pmat = Amat; | |
| 140 |
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70 | PetscCall(EPS_KSPSetOperators(contour->ksp[0],Amat,Pmat)); |
| 141 |
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70 | if (eps->setfromoptionscalled) PetscCall(KSPSetFromOptions(contour->ksp[0])); |
| 142 |
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70 | PetscCall(KSPSetUp(contour->ksp[0])); |
| 143 |
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70 | PetscCall(MatDestroy(&Amat)); |
| 144 |
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70 | if (nsplit) PetscCall(MatDestroy(&Pmat)); |
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70 | PetscCall(PetscFree2(sigma,sigma_imaginary)); |
| 146 |
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14 | PetscFunctionReturn(PETSC_SUCCESS); |
| 147 | } | ||
| 148 | |||
| 149 | /* | ||
| 150 | Linear solves for the USEST strategy | ||
| 151 | */ | ||
| 152 | 133 | static PetscErrorCode EPSCISSSolve_USEST(EPS eps,Mat V,PetscInt L_start,PetscInt L_end) | |
| 153 | { | ||
| 154 | 133 | EPS_CISS *ctx = (EPS_CISS*)eps->data; | |
| 155 | 133 | SlepcContourData contour; | |
| 156 | 133 | PetscInt i,p_id; | |
| 157 | 133 | Mat MC; | |
| 158 | 133 | KSP ksp; | |
| 159 | |||
| 160 |
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133 | PetscFunctionBegin; |
| 161 |
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133 | PetscCall(EPSCISSGetContour_Private(eps,&contour)); |
| 162 |
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3989 | for (i=0;i<contour->npoints;i++) { |
| 163 | 3856 | p_id = i*contour->subcomm->n + contour->subcomm->color; | |
| 164 |
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3856 | PetscCall(STSetShift(eps->st,ctx->omega[p_id])); |
| 165 |
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3856 | PetscCall(STGetKSP(eps->st,&ksp)); |
| 166 |
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3856 | PetscCall(BVSetActiveColumns(ctx->Y,i*ctx->L+L_start,i*ctx->L+L_end)); |
| 167 |
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3856 | PetscCall(BVGetMat(ctx->Y,&MC)); |
| 168 |
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3856 | PetscCall(KSPMatSolve(ksp,V,MC)); |
| 169 |
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3856 | PetscCall(BVRestoreMat(ctx->Y,&MC)); |
| 170 | } | ||
| 171 |
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27 | PetscFunctionReturn(PETSC_SUCCESS); |
| 172 | } | ||
| 173 | |||
| 174 | /* | ||
| 175 | Linear solves for the SPLIT strategy | ||
| 176 | */ | ||
| 177 | 162 | static PetscErrorCode EPSCISSSolve_SPLIT(EPS eps,Mat V,PetscInt L_start,PetscInt L_end) | |
| 178 | { | ||
| 179 | 162 | EPS_CISS *ctx = (EPS_CISS*)eps->data; | |
| 180 | 162 | SlepcContourData contour; | |
| 181 | 162 | PetscInt i; | |
| 182 | 162 | Mat MC; | |
| 183 | 162 | KSP ksp; | |
| 184 | |||
| 185 |
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162 | PetscFunctionBegin; |
| 186 |
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162 | PetscCall(EPSCISSGetContour_Private(eps,&contour)); |
| 187 |
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3766 | for (i=0;i<contour->npoints;i++) { |
| 188 |
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3604 | PetscCall(EPSCISSGetKSPs(eps,NULL,NULL)); |
| 189 | 3604 | ksp = contour->ksp[i]; | |
| 190 |
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3604 | PetscCall(BVSetActiveColumns(ctx->Y,i*ctx->L+L_start,i*ctx->L+L_end)); |
| 191 |
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3604 | PetscCall(BVGetMat(ctx->Y,&MC)); |
| 192 |
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3604 | PetscCall(KSPMatSolve(ksp,V,MC)); |
| 193 |
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3604 | PetscCall(BVRestoreMat(ctx->Y,&MC)); |
| 194 | } | ||
| 195 |
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36 | PetscFunctionReturn(PETSC_SUCCESS); |
| 196 | } | ||
| 197 | |||
| 198 | /* | ||
| 199 | Linear solves for the MULTISHIFT strategy | ||
| 200 | */ | ||
| 201 | 75 | static PetscErrorCode EPSCISSSolve_MULTISHIFT(EPS eps,Mat V,PetscInt L_start,PetscInt L_end) | |
| 202 | { | ||
| 203 | 75 | EPS_CISS *ctx = (EPS_CISS*)eps->data; | |
| 204 | 75 | SlepcContourData contour; | |
| 205 | 75 | PetscInt i,j,k=L_end-L_start; | |
| 206 | 75 | Mat A_nest; | |
| 207 | 75 | Vec b,b_nest,x,x_nest; | |
| 208 | 75 | KSP ksp; | |
| 209 | 75 | PC pc; | |
| 210 | |||
| 211 |
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75 | PetscFunctionBegin; |
| 212 |
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75 | PetscCall(EPSCISSGetContour_Private(eps,&contour)); |
| 213 | 75 | ksp = contour->ksp[0]; | |
| 214 |
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75 | PetscCall(KSPGetPC(ksp,&pc)); |
| 215 |
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75 | PetscCall(PCGetOperators(pc,&A_nest,NULL)); |
| 216 |
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75 | PetscCall(MatCreateVecNestFromMultipleShifts(A_nest,NULL,&x_nest)); |
| 217 |
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695 | for (j=0;j<k;j++) { // TODO: solve all columns at once |
| 218 |
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620 | PetscCall(MatDenseGetColumnVecRead(V,j,&b)); |
| 219 |
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620 | PetscCall(MatCreateVecNestFromMultipleShifts(A_nest,b,&b_nest)); |
| 220 |
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620 | PetscCall(KSPSolve(ksp,b_nest,x_nest)); |
| 221 |
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16620 | for (i=0;i<contour->npoints;i++) { |
| 222 |
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16000 | PetscCall(VecNestGetSubVec(x_nest,i,&x)); |
| 223 |
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16000 | PetscCall(BVInsertVec(ctx->Y,i*ctx->L+j,x)); |
| 224 | } | ||
| 225 |
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620 | PetscCall(VecDestroy(&b_nest)); |
| 226 |
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620 | PetscCall(MatDenseRestoreColumnVecRead(V,j,&b)); |
| 227 | } | ||
| 228 |
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75 | PetscCall(VecDestroy(&x_nest)); |
| 229 |
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15 | PetscFunctionReturn(PETSC_SUCCESS); |
| 230 | } | ||
| 231 | |||
| 232 | /* | ||
| 233 | Y_i = (A-z_i B)^{-1}BV for every integration point | ||
| 234 | */ | ||
| 235 | 370 | static PetscErrorCode EPSCISSSolve(EPS eps,Mat B,BV V,PetscInt L_start,PetscInt L_end) | |
| 236 | { | ||
| 237 | 370 | EPS_CISS *ctx = (EPS_CISS*)eps->data; | |
| 238 | 370 | Mat MV,BMV=NULL; | |
| 239 | |||
| 240 |
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370 | PetscFunctionBegin; |
| 241 |
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370 | PetscCall(BVSetActiveColumns(V,L_start,L_end)); |
| 242 |
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370 | PetscCall(BVGetMat(V,&MV)); |
| 243 |
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370 | if (B) { |
| 244 |
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158 | PetscCall(MatProductCreate(B,MV,NULL,&BMV)); |
| 245 |
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158 | PetscCall(MatProductSetType(BMV,MATPRODUCT_AB)); |
| 246 |
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158 | PetscCall(MatProductSetFromOptions(BMV)); |
| 247 |
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158 | PetscCall(MatProductSymbolic(BMV)); |
| 248 |
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158 | PetscCall(MatProductNumeric(BMV)); |
| 249 | } | ||
| 250 |
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370 | switch (ctx->strategy) { |
| 251 | 133 | case EPS_CISS_STRATEGY_USEST: | |
| 252 |
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133 | PetscCall(EPSCISSSolve_USEST(eps,B?BMV:MV,L_start,L_end)); |
| 253 | break; | ||
| 254 | 162 | case EPS_CISS_STRATEGY_SPLIT: | |
| 255 |
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162 | PetscCall(EPSCISSSolve_SPLIT(eps,B?BMV:MV,L_start,L_end)); |
| 256 | break; | ||
| 257 | 75 | case EPS_CISS_STRATEGY_MULTISHIFT: | |
| 258 |
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75 | PetscCall(EPSCISSSolve_MULTISHIFT(eps,B?BMV:MV,L_start,L_end)); |
| 259 | break; | ||
| 260 | } | ||
| 261 |
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370 | PetscCall(MatDestroy(&BMV)); |
| 262 |
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370 | PetscCall(BVRestoreMat(V,&MV)); |
| 263 |
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78 | PetscFunctionReturn(PETSC_SUCCESS); |
| 264 | } | ||
| 265 | |||
| 266 | 710 | static PetscErrorCode rescale_eig(EPS eps,PetscInt nv) | |
| 267 | { | ||
| 268 | 710 | EPS_CISS *ctx = (EPS_CISS*)eps->data; | |
| 269 | 710 | PetscInt i; | |
| 270 | 710 | PetscScalar center; | |
| 271 | 710 | PetscReal radius,a,b,c,d,rgscale; | |
| 272 | #if PetscDefined(USE_COMPLEX) | ||
| 273 | 390 | PetscReal start_ang,end_ang,vscale,theta; | |
| 274 | #endif | ||
| 275 | 710 | PetscBool isring,isellipse,isinterval; | |
| 276 | |||
| 277 |
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710 | PetscFunctionBegin; |
| 278 |
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710 | PetscCall(PetscObjectTypeCompare((PetscObject)eps->rg,RGELLIPSE,&isellipse)); |
| 279 |
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710 | PetscCall(PetscObjectTypeCompare((PetscObject)eps->rg,RGRING,&isring)); |
| 280 |
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710 | PetscCall(PetscObjectTypeCompare((PetscObject)eps->rg,RGINTERVAL,&isinterval)); |
| 281 |
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710 | PetscCall(RGGetScale(eps->rg,&rgscale)); |
| 282 |
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710 | if (isinterval) { |
| 283 |
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190 | PetscCall(RGIntervalGetEndpoints(eps->rg,NULL,NULL,&c,&d)); |
| 284 |
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190 | if (c==d) { |
| 285 |
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2176 | for (i=0;i<nv;i++) { |
| 286 | #if PetscDefined(USE_COMPLEX) | ||
| 287 | 962 | eps->eigr[i] = PetscRealPart(eps->eigr[i]); | |
| 288 | #else | ||
| 289 | 1040 | eps->eigi[i] = 0; | |
| 290 | #endif | ||
| 291 | } | ||
| 292 | } | ||
| 293 | } | ||
| 294 |
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710 | if (ctx->extraction == EPS_CISS_EXTRACTION_HANKEL) { |
| 295 |
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160 | if (isellipse) { |
| 296 |
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86 | PetscCall(RGEllipseGetParameters(eps->rg,¢er,&radius,NULL)); |
| 297 |
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682 | for (i=0;i<nv;i++) eps->eigr[i] = rgscale*(center + radius*eps->eigr[i]); |
| 298 |
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74 | } else if (isinterval) { |
| 299 |
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54 | PetscCall(RGIntervalGetEndpoints(eps->rg,&a,&b,&c,&d)); |
| 300 |
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54 | if (ctx->quad == EPS_CISS_QUADRULE_CHEBYSHEV) { |
| 301 |
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210 | for (i=0;i<nv;i++) { |
| 302 |
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176 | if (c==d) eps->eigr[i] = ((eps->eigr[i]+1.0)*(b-a)/2.0+a)*rgscale; |
| 303 |
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176 | if (a==b) { |
| 304 | #if PetscDefined(USE_COMPLEX) | ||
| 305 | ✗ | eps->eigr[i] = ((eps->eigr[i]+1.0)*(d-c)/2.0+c)*rgscale*PETSC_i; | |
| 306 | #else | ||
| 307 | − | SETERRQ(PETSC_COMM_SELF,PETSC_ERR_SUP,"Integration points on a vertical line require complex arithmetic"); | |
| 308 | #endif | ||
| 309 | } | ||
| 310 | } | ||
| 311 | } else { | ||
| 312 | 20 | center = (b+a)/2.0+(d+c)/2.0*PETSC_PI; | |
| 313 | 40 | radius = PetscSqrtReal(PetscPowRealInt((b-a)/2.0,2)+PetscPowRealInt((d-c)/2.0,2)); | |
| 314 |
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140 | for (i=0;i<nv;i++) eps->eigr[i] = center + radius*eps->eigr[i]; |
| 315 | } | ||
| 316 |
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20 | } else if (isring) { /* only supported in complex scalars */ |
| 317 | #if PetscDefined(USE_COMPLEX) | ||
| 318 |
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20 | PetscCall(RGRingGetParameters(eps->rg,¢er,&radius,&vscale,&start_ang,&end_ang,NULL)); |
| 319 |
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20 | if (ctx->quad == EPS_CISS_QUADRULE_CHEBYSHEV) { |
| 320 | ✗ | for (i=0;i<nv;i++) { | |
| 321 | ✗ | theta = (start_ang*2.0+(end_ang-start_ang)*(PetscRealPart(eps->eigr[i])+1.0))*PETSC_PI; | |
| 322 | ✗ | eps->eigr[i] = rgscale*center + (rgscale*radius+PetscImaginaryPart(eps->eigr[i]))*PetscCMPLX(PetscCosReal(theta),vscale*PetscSinReal(theta)); | |
| 323 | } | ||
| 324 | } else { | ||
| 325 |
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170 | for (i=0;i<nv;i++) eps->eigr[i] = rgscale*(center + radius*eps->eigr[i]); |
| 326 | } | ||
| 327 | #endif | ||
| 328 | 66 | } | |
| 329 | } | ||
| 330 |
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150 | PetscFunctionReturn(PETSC_SUCCESS); |
| 331 | } | ||
| 332 | |||
| 333 | 345 | static PetscErrorCode EPSSetUp_CISS(EPS eps) | |
| 334 | { | ||
| 335 | 345 | EPS_CISS *ctx = (EPS_CISS*)eps->data; | |
| 336 | 345 | SlepcContourData contour; | |
| 337 | 345 | PetscBool istrivial,isring,isellipse,isinterval,flg; | |
| 338 | 345 | PetscReal c,d; | |
| 339 | 345 | PetscInt nsplit; | |
| 340 | 345 | PetscRandom rand; | |
| 341 | 345 | PetscObjectId id; | |
| 342 | 345 | PetscObjectState state; | |
| 343 | 345 | Mat A[2],Psplit[2],T,J,Pa=NULL,Pb=NULL; | |
| 344 | 345 | Vec v0; | |
| 345 | |||
| 346 |
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345 | PetscFunctionBegin; |
| 347 |
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345 | EPSCheckNotStructured(eps); |
| 348 |
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345 | if (eps->ncv==PETSC_DETERMINE) { |
| 349 | 305 | eps->ncv = ctx->L_max*ctx->M; | |
| 350 |
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305 | if (eps->ncv>eps->n) { |
| 351 | 224 | eps->ncv = eps->n; | |
| 352 | 224 | ctx->L_max = eps->ncv/ctx->M; | |
| 353 |
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224 | PetscCheck(ctx->L_max,PetscObjectComm((PetscObject)eps),PETSC_ERR_SUP,"Cannot adjust solver parameters, try setting a smaller value of M (moment size)"); |
| 354 | } | ||
| 355 | } else { | ||
| 356 |
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40 | PetscCall(EPSSetDimensions_Default(eps,&eps->nev,&eps->ncv,&eps->mpd)); |
| 357 | 40 | ctx->L_max = eps->ncv/ctx->M; | |
| 358 |
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40 | if (!ctx->L_max) { |
| 359 | ✗ | ctx->L_max = 1; | |
| 360 | ✗ | eps->ncv = ctx->L_max*ctx->M; | |
| 361 | } | ||
| 362 | } | ||
| 363 | 345 | ctx->L = PetscMin(ctx->L,ctx->L_max); | |
| 364 |
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345 | if (eps->max_it==PETSC_DETERMINE) eps->max_it = 5; |
| 365 |
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345 | if (eps->mpd==PETSC_DETERMINE) eps->mpd = eps->ncv; |
| 366 |
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345 | if (!eps->which) eps->which = EPS_ALL; |
| 367 |
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345 | PetscCheck(eps->which==EPS_ALL,PetscObjectComm((PetscObject)eps),PETSC_ERR_SUP,"This solver supports only computing all eigenvalues"); |
| 368 |
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345 | EPSCheckUnsupported(eps,EPS_FEATURE_BALANCE | EPS_FEATURE_ARBITRARY | EPS_FEATURE_EXTRACTION | EPS_FEATURE_STOPPING | EPS_FEATURE_TWOSIDED); |
| 369 | |||
| 370 | /* check region */ | ||
| 371 |
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345 | PetscCall(RGIsTrivial(eps->rg,&istrivial)); |
| 372 |
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345 | PetscCheck(!istrivial,PetscObjectComm((PetscObject)eps),PETSC_ERR_SUP,"CISS requires a nontrivial region, e.g. -rg_type ellipse ..."); |
| 373 |
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345 | PetscCall(RGGetComplement(eps->rg,&flg)); |
| 374 |
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345 | PetscCheck(!flg,PetscObjectComm((PetscObject)eps),PETSC_ERR_SUP,"A region with complement flag set is not allowed"); |
| 375 |
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345 | PetscCall(PetscObjectTypeCompare((PetscObject)eps->rg,RGELLIPSE,&isellipse)); |
| 376 |
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345 | PetscCall(PetscObjectTypeCompare((PetscObject)eps->rg,RGRING,&isring)); |
| 377 |
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345 | PetscCall(PetscObjectTypeCompare((PetscObject)eps->rg,RGINTERVAL,&isinterval)); |
| 378 |
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345 | PetscCheck(isellipse || isring || isinterval,PetscObjectComm((PetscObject)eps),PETSC_ERR_SUP,"Currently only implemented for interval, elliptic or ring regions"); |
| 379 | |||
| 380 | /* if the region has changed, then reset contour data */ | ||
| 381 |
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345 | PetscCall(PetscObjectGetId((PetscObject)eps->rg,&id)); |
| 382 |
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345 | PetscCall(PetscObjectStateGet((PetscObject)eps->rg,&state)); |
| 383 |
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345 | if (ctx->rgid && (id != ctx->rgid || state != ctx->rgstate)) { |
| 384 | ✗ | PetscCall(SlepcContourDataDestroy(&ctx->contour)); | |
| 385 | ✗ | PetscCall(PetscInfo(eps,"Resetting the contour data structure due to a change of region\n")); | |
| 386 | ✗ | ctx->rgid = id; ctx->rgstate = state; | |
| 387 | } | ||
| 388 | |||
| 389 | #if !PetscDefined(USE_COMPLEX) | ||
| 390 |
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160 | PetscCheck(!isring,PetscObjectComm((PetscObject)eps),PETSC_ERR_SUP,"Ring region only supported for complex scalars"); |
| 391 | #endif | ||
| 392 |
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345 | if (isinterval) { |
| 393 |
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95 | PetscCall(RGIntervalGetEndpoints(eps->rg,NULL,NULL,&c,&d)); |
| 394 | #if !PetscDefined(USE_COMPLEX) | ||
| 395 |
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47 | PetscCheck(c==d && c==0.0,PetscObjectComm((PetscObject)eps),PETSC_ERR_SUP,"In real scalars, endpoints of the imaginary axis must be both zero"); |
| 396 | #endif | ||
| 397 |
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|
95 | if (!ctx->quad && c==d) ctx->quad = EPS_CISS_QUADRULE_CHEBYSHEV; |
| 398 | } | ||
| 399 |
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345 | if (!ctx->quad) ctx->quad = EPS_CISS_QUADRULE_TRAPEZOIDAL; |
| 400 | |||
| 401 |
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453 | if (!ctx->strategy) ctx->strategy = (ctx->npart>1)? EPS_CISS_STRATEGY_SPLIT: EPS_CISS_STRATEGY_USEST; |
| 402 |
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345 | PetscCheck(ctx->strategy != EPS_CISS_STRATEGY_USEST || ctx->npart==1,PetscObjectComm((PetscObject)eps),PETSC_ERR_SUP,"The EPS_CISS_STRATEGY_USEST strategy is not supported when partitions > 1"); |
| 403 | |||
| 404 |
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345 | PetscCall(EPSCISSGetContour_Private(eps,&contour)); |
| 405 | |||
| 406 |
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345 | if (eps->setfromoptionscalled && ctx->strategy != EPS_CISS_STRATEGY_USEST) PetscCall(PetscSubcommSetFromOptions(contour->subcomm)); |
| 407 | |||
| 408 |
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345 | PetscCall(EPSAllocateSolution(eps,0)); |
| 409 |
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345 | PetscCall(BVGetRandomContext(eps->V,&rand)); /* make sure the random context is available when duplicating */ |
| 410 |
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345 | if (ctx->weight) PetscCall(PetscFree4(ctx->weight,ctx->omega,ctx->pp,ctx->sigma)); |
| 411 |
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345 | PetscCall(PetscMalloc4(ctx->N,&ctx->weight,ctx->N+1,&ctx->omega,ctx->N,&ctx->pp,ctx->L_max*ctx->M,&ctx->sigma)); |
| 412 | |||
| 413 | /* allocate basis vectors */ | ||
| 414 |
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345 | PetscCall(BVDestroy(&ctx->S)); |
| 415 |
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345 | PetscCall(BVDuplicateResize(eps->V,ctx->L*ctx->M,&ctx->S)); |
| 416 |
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345 | PetscCall(BVDestroy(&ctx->V)); |
| 417 |
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345 | PetscCall(BVDuplicateResize(eps->V,ctx->L,&ctx->V)); |
| 418 | |||
| 419 |
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345 | PetscCall(STGetMatrix(eps->st,0,&A[0])); |
| 420 |
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345 | PetscCall(MatIsShell(A[0],&flg)); |
| 421 |
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345 | PetscCheck(!flg,PetscObjectComm((PetscObject)eps),PETSC_ERR_SUP,"Matrix type shell is not supported in this solver"); |
| 422 |
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345 | if (eps->isgeneralized) PetscCall(STGetMatrix(eps->st,1,&A[1])); |
| 423 | 187 | else A[1] = NULL; | |
| 424 | |||
| 425 | /* check if a user-defined split preconditioner has been set */ | ||
| 426 |
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345 | PetscCall(STGetSplitPreconditionerInfo(eps->st,&nsplit,NULL)); |
| 427 |
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345 | if (nsplit) { |
| 428 |
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40 | PetscCall(STGetSplitPreconditionerTerm(eps->st,0,&Psplit[0])); |
| 429 |
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40 | if (eps->isgeneralized) PetscCall(STGetSplitPreconditionerTerm(eps->st,1,&Psplit[1])); |
| 430 | } | ||
| 431 | |||
| 432 |
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837 | PetscCall(SlepcContourRedundantMat(contour,eps->isgeneralized?2:1,A,nsplit?Psplit:NULL)); |
| 433 |
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345 | if (contour->pA) { |
| 434 |
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84 | PetscCall(BVGetColumn(ctx->V,0,&v0)); |
| 435 |
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84 | PetscCall(SlepcContourScatterCreate(contour,v0)); |
| 436 |
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84 | PetscCall(BVRestoreColumn(ctx->V,0,&v0)); |
| 437 |
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84 | PetscCall(BVDestroy(&ctx->pV)); |
| 438 |
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84 | PetscCall(BVCreate(PetscObjectComm((PetscObject)contour->xsub),&ctx->pV)); |
| 439 |
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84 | PetscCall(BVSetSizesFromVec(ctx->pV,contour->xsub,eps->n)); |
| 440 |
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84 | PetscCall(BVSetFromOptions(ctx->pV)); |
| 441 |
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84 | PetscCall(BVResize(ctx->pV,ctx->L,PETSC_FALSE)); |
| 442 | } | ||
| 443 | |||
| 444 |
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345 | EPSCheckDefinite(eps); |
| 445 |
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345 | EPSCheckSinvertCondition(eps,ctx->strategy == EPS_CISS_STRATEGY_USEST," (with EPS_CISS_STRATEGY_USEST)"); |
| 446 | |||
| 447 |
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345 | PetscCall(BVDestroy(&ctx->Y)); |
| 448 |
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345 | if (contour->pA) { |
| 449 |
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84 | PetscCall(BVCreate(PetscObjectComm((PetscObject)contour->xsub),&ctx->Y)); |
| 450 |
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84 | PetscCall(BVSetSizesFromVec(ctx->Y,contour->xsub,eps->n)); |
| 451 |
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84 | PetscCall(BVSetFromOptions(ctx->Y)); |
| 452 |
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84 | PetscCall(BVResize(ctx->Y,contour->npoints*ctx->L,PETSC_FALSE)); |
| 453 |
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261 | } else PetscCall(BVDuplicateResize(eps->V,contour->npoints*ctx->L,&ctx->Y)); |
| 454 | |||
| 455 |
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345 | if (ctx->extraction == EPS_CISS_EXTRACTION_HANKEL) PetscCall(DSSetType(eps->ds,DSGNHEP)); |
| 456 |
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270 | else if (eps->isgeneralized) { |
| 457 |
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131 | if (eps->ishermitian && eps->ispositive) PetscCall(DSSetType(eps->ds,DSGHEP)); |
| 458 |
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13 | else PetscCall(DSSetType(eps->ds,DSGNHEP)); |
| 459 | } else { | ||
| 460 |
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139 | if (eps->ishermitian) PetscCall(DSSetType(eps->ds,DSHEP)); |
| 461 |
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101 | else PetscCall(DSSetType(eps->ds,DSNHEP)); |
| 462 | } | ||
| 463 |
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345 | PetscCall(DSAllocate(eps->ds,eps->ncv)); |
| 464 | |||
| 465 | #if !PetscDefined(USE_COMPLEX) | ||
| 466 |
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160 | PetscCall(EPSSetWorkVecs(eps,3)); |
| 467 |
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160 | if (!eps->ishermitian) PetscCall(PetscInfo(eps,"Warning: complex eigenvalues are not calculated exactly without --with-scalar-type=complex in PETSc\n")); |
| 468 | #else | ||
| 469 |
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185 | PetscCall(EPSSetWorkVecs(eps,2)); |
| 470 | #endif | ||
| 471 | |||
| 472 |
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567 | PetscCall(RGComputeQuadrature(eps->rg,ctx->quad==EPS_CISS_QUADRULE_CHEBYSHEV?RG_QUADRULE_CHEBYSHEV:RG_QUADRULE_TRAPEZOIDAL,ctx->N,ctx->omega,ctx->pp,ctx->weight)); |
| 473 |
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345 | J = (contour->pA && A[1])? contour->pA[1]: A[1]; |
| 474 |
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345 | if (ctx->strategy == EPS_CISS_STRATEGY_SPLIT || ctx->strategy == EPS_CISS_STRATEGY_MULTISHIFT) { |
| 475 |
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227 | T = contour->pA? contour->pA[0]: A[0]; |
| 476 |
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227 | PetscCall(STGetSplitPreconditionerInfo(eps->st,&nsplit,NULL)); |
| 477 |
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227 | if (nsplit) { |
| 478 |
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30 | if (contour->pA) { |
| 479 | 20 | Pa = contour->pP[0]; | |
| 480 |
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20 | if (nsplit>1) Pb = contour->pP[1]; |
| 481 | } else { | ||
| 482 |
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10 | PetscCall(STGetSplitPreconditionerTerm(eps->st,0,&Pa)); |
| 483 |
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10 | if (nsplit>1) PetscCall(STGetSplitPreconditionerTerm(eps->st,1,&Pb)); |
| 484 | } | ||
| 485 | } | ||
| 486 |
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227 | PetscCall(EPSCISSGetKSPs(eps,NULL,NULL)); |
| 487 |
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227 | if (ctx->strategy == EPS_CISS_STRATEGY_SPLIT) PetscCall(EPSCISSSetUp_SPLIT(eps,T,J,Pa,Pb)); |
| 488 |
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70 | else PetscCall(EPSCISSSetUp_MULTISHIFT(eps,T,J,Pa,Pb)); |
| 489 | } | ||
| 490 |
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|
73 | PetscFunctionReturn(PETSC_SUCCESS); |
| 491 | } | ||
| 492 | |||
| 493 | 345 | static PetscErrorCode EPSSetUpSort_CISS(EPS eps) | |
| 494 | { | ||
| 495 | 345 | SlepcSC sc; | |
| 496 | |||
| 497 |
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345 | PetscFunctionBegin; |
| 498 | /* fill sorting criterion context */ | ||
| 499 | 345 | eps->sc->comparison = SlepcCompareSmallestReal; | |
| 500 | 345 | eps->sc->comparisonctx = NULL; | |
| 501 | 345 | eps->sc->map = NULL; | |
| 502 | 345 | eps->sc->mapobj = NULL; | |
| 503 | |||
| 504 | /* fill sorting criterion for DS */ | ||
| 505 |
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345 | PetscCall(DSGetSlepcSC(eps->ds,&sc)); |
| 506 | 345 | sc->comparison = SlepcCompareLargestMagnitude; | |
| 507 | 345 | sc->comparisonctx = NULL; | |
| 508 | 345 | sc->map = NULL; | |
| 509 | 345 | sc->mapobj = NULL; | |
| 510 |
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|
345 | PetscFunctionReturn(PETSC_SUCCESS); |
| 511 | } | ||
| 512 | |||
| 513 | 345 | static PetscErrorCode EPSSolve_CISS(EPS eps) | |
| 514 | { | ||
| 515 | 345 | EPS_CISS *ctx = (EPS_CISS*)eps->data; | |
| 516 | 345 | SlepcContourData contour; | |
| 517 | 345 | Mat A,B=NULL,X,M,pA,pB,J; | |
| 518 | 345 | BV V; | |
| 519 | 345 | PetscInt i,j,ld,L_add=0,nv=0,L_base=ctx->L,inner,*inside; | |
| 520 | 345 | PetscScalar *Mu,*H0,*H1=NULL,*rr,*temp; | |
| 521 | 345 | PetscReal error,max_error,norm; | |
| 522 | 345 | PetscBool *fl1; | |
| 523 | 345 | Vec si,si1=NULL,w[3]; | |
| 524 | 345 | PetscRandom rand; | |
| 525 | #if PetscDefined(USE_COMPLEX) | ||
| 526 | 185 | PetscBool isellipse; | |
| 527 | 185 | PetscReal est_eig,eta; | |
| 528 | #else | ||
| 529 | 160 | PetscReal normi; | |
| 530 | #endif | ||
| 531 | |||
| 532 |
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345 | PetscFunctionBegin; |
| 533 | 345 | w[0] = eps->work[0]; | |
| 534 | #if PetscDefined(USE_COMPLEX) | ||
| 535 | 185 | w[1] = NULL; | |
| 536 | #else | ||
| 537 | 160 | w[1] = eps->work[2]; | |
| 538 | #endif | ||
| 539 | 345 | w[2] = eps->work[1]; | |
| 540 |
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345 | PetscCall(DSGetLeadingDimension(eps->ds,&ld)); |
| 541 | |||
| 542 |
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345 | PetscCall(STGetMatrix(eps->st,0,&A)); |
| 543 |
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345 | if (eps->isgeneralized) PetscCall(STGetMatrix(eps->st,1,&B)); |
| 544 |
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345 | PetscCall(EPSCISSGetContour_Private(eps,&contour)); |
| 545 |
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345 | J = (contour->pA && eps->isgeneralized)? contour->pA[1]: B; |
| 546 |
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345 | V = contour->pA? ctx->pV: ctx->V; |
| 547 | |||
| 548 |
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345 | PetscCall(BVSetActiveColumns(ctx->V,0,ctx->L)); |
| 549 |
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345 | PetscCall(BVSetRandomSign(ctx->V)); |
| 550 |
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345 | PetscCall(BVGetRandomContext(ctx->V,&rand)); |
| 551 | |||
| 552 |
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345 | if (contour->pA) PetscCall(BVScatter(ctx->V,ctx->pV,contour->scatterin,contour->xdup)); |
| 553 |
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345 | PetscCall(EPSCISSSolve(eps,J,V,0,ctx->L)); |
| 554 | #if PetscDefined(USE_COMPLEX) | ||
| 555 |
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185 | PetscCall(PetscObjectTypeCompare((PetscObject)eps->rg,RGELLIPSE,&isellipse)); |
| 556 |
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185 | if (isellipse) { |
| 557 |
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124 | PetscCall(BVTraceQuadrature(ctx->Y,ctx->V,ctx->L,ctx->L,ctx->weight,contour->scatterin,contour->subcomm,contour->npoints,ctx->useconj,&est_eig)); |
| 558 |
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124 | PetscCall(PetscInfo(eps,"Estimated eigenvalue count: %f\n",(double)est_eig)); |
| 559 | 124 | eta = PetscPowReal(10.0,-PetscLog10Real(eps->tol)/ctx->N); | |
| 560 | 124 | L_add = PetscMax(0,(PetscInt)PetscCeilReal((est_eig*eta)/ctx->M)-ctx->L); | |
| 561 |
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124 | if (L_add>ctx->L_max-ctx->L) { |
| 562 |
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25 | PetscCall(PetscInfo(eps,"Number of eigenvalues inside the contour path may be too large\n")); |
| 563 | 25 | L_add = ctx->L_max-ctx->L; | |
| 564 | } | ||
| 565 | } | ||
| 566 | #endif | ||
| 567 |
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284 | if (L_add>0) { |
| 568 |
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15 | PetscCall(PetscInfo(eps,"Changing L %" PetscInt_FMT " -> %" PetscInt_FMT " by Estimate #Eig\n",ctx->L,ctx->L+L_add)); |
| 569 |
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15 | PetscCall(BVCISSResizeBases(ctx->S,contour->pA?ctx->pV:ctx->V,ctx->Y,ctx->L,ctx->L+L_add,ctx->M,contour->npoints)); |
| 570 |
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15 | PetscCall(BVSetActiveColumns(ctx->V,ctx->L,ctx->L+L_add)); |
| 571 |
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15 | PetscCall(BVSetRandomSign(ctx->V)); |
| 572 |
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15 | if (contour->pA) PetscCall(BVScatter(ctx->V,ctx->pV,contour->scatterin,contour->xdup)); |
| 573 | 15 | ctx->L += L_add; | |
| 574 |
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175 | PetscCall(EPSCISSSolve(eps,J,V,ctx->L-L_add,ctx->L)); |
| 575 | } | ||
| 576 |
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345 | PetscCall(PetscMalloc2(ctx->L*ctx->L*ctx->M*2,&Mu,ctx->L*ctx->M*ctx->L*ctx->M,&H0)); |
| 577 |
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345 | for (i=0;i<ctx->refine_blocksize;i++) { |
| 578 |
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20 | PetscCall(BVDotQuadrature(ctx->Y,(contour->pA)?ctx->pV:ctx->V,Mu,ctx->M,ctx->L,ctx->L,ctx->weight,ctx->pp,contour->subcomm,contour->npoints,ctx->useconj)); |
| 579 |
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20 | PetscCall(CISS_BlockHankel(Mu,0,ctx->L,ctx->M,H0)); |
| 580 |
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20 | PetscCall(PetscLogEventBegin(EPS_CISS_SVD,eps,0,0,0)); |
| 581 |
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20 | PetscCall(SlepcCISS_BH_SVD(H0,ctx->L*ctx->M,ctx->delta,ctx->sigma,&nv)); |
| 582 |
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20 | PetscCall(PetscLogEventEnd(EPS_CISS_SVD,eps,0,0,0)); |
| 583 |
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20 | if (ctx->sigma[0]<=ctx->delta || nv < ctx->L*ctx->M || ctx->L == ctx->L_max) break; |
| 584 | ✗ | L_add = L_base; | |
| 585 | ✗ | if (ctx->L+L_add>ctx->L_max) L_add = ctx->L_max-ctx->L; | |
| 586 | ✗ | PetscCall(PetscInfo(eps,"Changing L %" PetscInt_FMT " -> %" PetscInt_FMT " by SVD(H0)\n",ctx->L,ctx->L+L_add)); | |
| 587 | ✗ | PetscCall(BVCISSResizeBases(ctx->S,contour->pA?ctx->pV:ctx->V,ctx->Y,ctx->L,ctx->L+L_add,ctx->M,contour->npoints)); | |
| 588 | ✗ | PetscCall(BVSetActiveColumns(ctx->V,ctx->L,ctx->L+L_add)); | |
| 589 | ✗ | PetscCall(BVSetRandomSign(ctx->V)); | |
| 590 | ✗ | if (contour->pA) PetscCall(BVScatter(ctx->V,ctx->pV,contour->scatterin,contour->xdup)); | |
| 591 | ✗ | ctx->L += L_add; | |
| 592 | ✗ | PetscCall(EPSCISSSolve(eps,J,V,ctx->L-L_add,ctx->L)); | |
| 593 | ✗ | if (L_add) { | |
| 594 | ✗ | PetscCall(PetscFree2(Mu,H0)); | |
| 595 | ✗ | PetscCall(PetscMalloc2(ctx->L*ctx->L*ctx->M*2,&Mu,ctx->L*ctx->M*ctx->L*ctx->M,&H0)); | |
| 596 | } | ||
| 597 | } | ||
| 598 |
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345 | if (ctx->extraction == EPS_CISS_EXTRACTION_HANKEL) PetscCall(PetscMalloc1(ctx->L*ctx->M*ctx->L*ctx->M,&H1)); |
| 599 | |||
| 600 | 700 | while (eps->reason == EPS_CONVERGED_ITERATING) { | |
| 601 | 355 | eps->its++; | |
| 602 |
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355 | for (inner=0;inner<=ctx->refine_inner;inner++) { |
| 603 |
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355 | if (ctx->extraction == EPS_CISS_EXTRACTION_HANKEL) { |
| 604 |
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80 | PetscCall(BVDotQuadrature(ctx->Y,(contour->pA)?ctx->pV:ctx->V,Mu,ctx->M,ctx->L,ctx->L,ctx->weight,ctx->pp,contour->subcomm,contour->npoints,ctx->useconj)); |
| 605 |
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80 | PetscCall(CISS_BlockHankel(Mu,0,ctx->L,ctx->M,H0)); |
| 606 |
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80 | PetscCall(PetscLogEventBegin(EPS_CISS_SVD,eps,0,0,0)); |
| 607 |
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80 | PetscCall(SlepcCISS_BH_SVD(H0,ctx->L*ctx->M,ctx->delta,ctx->sigma,&nv)); |
| 608 |
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80 | PetscCall(PetscLogEventEnd(EPS_CISS_SVD,eps,0,0,0)); |
| 609 | break; | ||
| 610 | } else { | ||
| 611 |
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275 | PetscCall(BVSumQuadrature(ctx->S,ctx->Y,ctx->M,ctx->L,ctx->L,ctx->weight,ctx->pp,contour->scatterin,contour->subcomm,contour->npoints,ctx->useconj)); |
| 612 |
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275 | PetscCall(BVSetActiveColumns(ctx->S,0,ctx->L)); |
| 613 |
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275 | PetscCall(BVSetActiveColumns(ctx->V,0,ctx->L)); |
| 614 |
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275 | PetscCall(BVCopy(ctx->S,ctx->V)); |
| 615 |
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275 | PetscCall(BVSVDAndRank(ctx->S,ctx->M,ctx->L,ctx->delta,BV_SVD_METHOD_REFINE,H0,ctx->sigma,&nv)); |
| 616 |
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275 | if (ctx->sigma[0]>ctx->delta && nv==ctx->L*ctx->M && inner!=ctx->refine_inner) { |
| 617 | ✗ | if (contour->pA) PetscCall(BVScatter(ctx->V,ctx->pV,contour->scatterin,contour->xdup)); | |
| 618 | ✗ | PetscCall(EPSCISSSolve(eps,J,V,0,ctx->L)); | |
| 619 | } else break; | ||
| 620 | } | ||
| 621 | } | ||
| 622 | 355 | eps->nconv = 0; | |
| 623 |
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355 | if (nv == 0) eps->reason = EPS_CONVERGED_TOL; |
| 624 | else { | ||
| 625 |
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355 | PetscCall(DSSetDimensions(eps->ds,nv,0,0)); |
| 626 |
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355 | PetscCall(DSSetState(eps->ds,DS_STATE_RAW)); |
| 627 | |||
| 628 |
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355 | if (ctx->extraction == EPS_CISS_EXTRACTION_HANKEL) { |
| 629 |
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80 | PetscCall(CISS_BlockHankel(Mu,0,ctx->L,ctx->M,H0)); |
| 630 |
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80 | PetscCall(CISS_BlockHankel(Mu,1,ctx->L,ctx->M,H1)); |
| 631 |
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80 | PetscCall(DSGetArray(eps->ds,DS_MAT_A,&temp)); |
| 632 |
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601 | for (j=0;j<nv;j++) { |
| 633 |
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4046 | for (i=0;i<nv;i++) { |
| 634 | 3525 | temp[i+j*ld] = H1[i+j*ctx->L*ctx->M]; | |
| 635 | } | ||
| 636 | } | ||
| 637 |
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80 | PetscCall(DSRestoreArray(eps->ds,DS_MAT_A,&temp)); |
| 638 |
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80 | PetscCall(DSGetArray(eps->ds,DS_MAT_B,&temp)); |
| 639 |
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601 | for (j=0;j<nv;j++) { |
| 640 |
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4046 | for (i=0;i<nv;i++) { |
| 641 | 3525 | temp[i+j*ld] = H0[i+j*ctx->L*ctx->M]; | |
| 642 | } | ||
| 643 | } | ||
| 644 |
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80 | PetscCall(DSRestoreArray(eps->ds,DS_MAT_B,&temp)); |
| 645 | } else { | ||
| 646 |
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275 | PetscCall(BVSetActiveColumns(ctx->S,0,nv)); |
| 647 |
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275 | PetscCall(DSGetMat(eps->ds,DS_MAT_A,&pA)); |
| 648 |
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275 | PetscCall(MatZeroEntries(pA)); |
| 649 |
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275 | PetscCall(BVMatProject(ctx->S,A,ctx->S,pA)); |
| 650 |
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275 | PetscCall(DSRestoreMat(eps->ds,DS_MAT_A,&pA)); |
| 651 |
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275 | if (B) { |
| 652 |
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131 | PetscCall(DSGetMat(eps->ds,DS_MAT_B,&pB)); |
| 653 |
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131 | PetscCall(MatZeroEntries(pB)); |
| 654 |
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|
131 | PetscCall(BVMatProject(ctx->S,B,ctx->S,pB)); |
| 655 |
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131 | PetscCall(DSRestoreMat(eps->ds,DS_MAT_B,&pB)); |
| 656 | } | ||
| 657 | } | ||
| 658 | |||
| 659 |
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355 | PetscCall(DSSolve(eps->ds,eps->eigr,eps->eigi)); |
| 660 |
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355 | PetscCall(DSSynchronize(eps->ds,eps->eigr,eps->eigi)); |
| 661 | |||
| 662 |
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355 | PetscCall(PetscMalloc3(nv,&fl1,nv,&inside,nv,&rr)); |
| 663 |
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355 | PetscCall(rescale_eig(eps,nv)); |
| 664 |
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355 | PetscCall(DSVectors(eps->ds,DS_MAT_X,NULL,NULL)); |
| 665 |
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355 | PetscCall(DSGetMat(eps->ds,DS_MAT_X,&X)); |
| 666 |
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355 | PetscCall(SlepcCISS_isGhost(X,nv,ctx->sigma,ctx->spurious_threshold,fl1)); |
| 667 |
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355 | PetscCall(DSRestoreMat(eps->ds,DS_MAT_X,&X)); |
| 668 |
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355 | PetscCall(RGCheckInside(eps->rg,nv,eps->eigr,eps->eigi,inside)); |
| 669 |
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8760 | for (i=0;i<nv;i++) { |
| 670 |
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|
8405 | if (fl1[i] && inside[i]>=0) { |
| 671 | 2283 | rr[i] = 1.0; | |
| 672 | 2283 | eps->nconv++; | |
| 673 | 6122 | } else rr[i] = 0.0; | |
| 674 | } | ||
| 675 |
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355 | PetscCall(DSSort(eps->ds,eps->eigr,eps->eigi,rr,NULL,&eps->nconv)); |
| 676 |
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355 | PetscCall(DSSynchronize(eps->ds,eps->eigr,eps->eigi)); |
| 677 |
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355 | PetscCall(rescale_eig(eps,nv)); |
| 678 |
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355 | PetscCall(PetscFree3(fl1,inside,rr)); |
| 679 |
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|
355 | PetscCall(BVSetActiveColumns(eps->V,0,nv)); |
| 680 |
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355 | if (ctx->extraction == EPS_CISS_EXTRACTION_HANKEL) { |
| 681 |
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|
80 | PetscCall(BVSumQuadrature(ctx->S,ctx->Y,ctx->M,ctx->L,ctx->L,ctx->weight,ctx->pp,contour->scatterin,contour->subcomm,contour->npoints,ctx->useconj)); |
| 682 |
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80 | PetscCall(BVSetActiveColumns(ctx->S,0,ctx->L)); |
| 683 |
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80 | PetscCall(BVCopy(ctx->S,ctx->V)); |
| 684 |
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80 | PetscCall(BVSetActiveColumns(ctx->S,0,nv)); |
| 685 | } | ||
| 686 |
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355 | PetscCall(BVCopy(ctx->S,eps->V)); |
| 687 | |||
| 688 |
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355 | PetscCall(DSVectors(eps->ds,DS_MAT_X,NULL,NULL)); |
| 689 |
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355 | PetscCall(DSGetMat(eps->ds,DS_MAT_X,&X)); |
| 690 |
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355 | PetscCall(BVMultInPlace(ctx->S,X,0,eps->nconv)); |
| 691 |
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|
355 | if (eps->ishermitian) PetscCall(BVMultInPlace(eps->V,X,0,eps->nconv)); |
| 692 |
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|
355 | PetscCall(DSRestoreMat(eps->ds,DS_MAT_X,&X)); |
| 693 | max_error = 0.0; | ||
| 694 |
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2618 | for (i=0;i<eps->nconv;i++) { |
| 695 |
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|
2263 | PetscCall(BVGetColumn(ctx->S,i,&si)); |
| 696 | #if !PetscDefined(USE_COMPLEX) | ||
| 697 |
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|
920 | if (eps->eigi[i]!=0.0) PetscCall(BVGetColumn(ctx->S,i+1,&si1)); |
| 698 | #endif | ||
| 699 |
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|
2263 | PetscCall(EPSComputeResidualNorm_Private(eps,PETSC_FALSE,eps->eigr[i],eps->eigi[i],si,si1,w,&error)); |
| 700 |
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2263 | if (ctx->extraction == EPS_CISS_EXTRACTION_HANKEL) { /* vector is not normalized */ |
| 701 |
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|
380 | PetscCall(VecNorm(si,NORM_2,&norm)); |
| 702 | #if !PetscDefined(USE_COMPLEX) | ||
| 703 |
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|
161 | if (eps->eigi[i]!=0.0) { |
| 704 | ✗ | PetscCall(VecNorm(si1,NORM_2,&normi)); | |
| 705 | ✗ | norm = SlepcAbsEigenvalue(norm,normi); | |
| 706 | } | ||
| 707 | #endif | ||
| 708 | 380 | error /= norm; | |
| 709 | } | ||
| 710 |
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2263 | PetscCall((*eps->converged)(eps,eps->eigr[i],eps->eigi[i],error,&error,eps->convergedctx)); |
| 711 |
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|
2263 | PetscCall(BVRestoreColumn(ctx->S,i,&si)); |
| 712 | #if !PetscDefined(USE_COMPLEX) | ||
| 713 |
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920 | if (eps->eigi[i]!=0.0) { |
| 714 |
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|
20 | PetscCall(BVRestoreColumn(ctx->S,i+1,&si1)); |
| 715 | i++; | ||
| 716 | } | ||
| 717 | #endif | ||
| 718 |
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|
2954 | max_error = PetscMax(max_error,error); |
| 719 | } | ||
| 720 | |||
| 721 |
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|
355 | if (max_error <= eps->tol) eps->reason = EPS_CONVERGED_TOL; |
| 722 |
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|
13 | else if (eps->its >= eps->max_it) eps->reason = EPS_DIVERGED_ITS; |
| 723 | else { | ||
| 724 |
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|
10 | if (eps->nconv > ctx->L) nv = eps->nconv; |
| 725 | ✗ | else if (ctx->L > nv) nv = ctx->L; | |
| 726 | 10 | nv = PetscMin(nv,ctx->L*ctx->M); | |
| 727 |
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10 | PetscCall(MatCreateSeqDense(PETSC_COMM_SELF,nv,ctx->L,NULL,&M)); |
| 728 |
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10 | PetscCall(MatSetRandom(M,rand)); |
| 729 |
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10 | PetscCall(BVSetActiveColumns(ctx->S,0,nv)); |
| 730 |
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10 | PetscCall(BVMultInPlace(ctx->S,M,0,ctx->L)); |
| 731 |
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10 | PetscCall(MatDestroy(&M)); |
| 732 |
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10 | PetscCall(BVSetActiveColumns(ctx->S,0,ctx->L)); |
| 733 |
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10 | PetscCall(BVSetActiveColumns(ctx->V,0,ctx->L)); |
| 734 |
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10 | PetscCall(BVCopy(ctx->S,ctx->V)); |
| 735 |
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|
10 | if (contour->pA) PetscCall(BVScatter(ctx->V,ctx->pV,contour->scatterin,contour->xdup)); |
| 736 |
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|
710 | PetscCall(EPSCISSSolve(eps,J,V,0,ctx->L)); |
| 737 | } | ||
| 738 | } | ||
| 739 | } | ||
| 740 |
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|
345 | if (ctx->extraction == EPS_CISS_EXTRACTION_HANKEL) PetscCall(PetscFree(H1)); |
| 741 |
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345 | PetscCall(PetscFree2(Mu,H0)); |
| 742 |
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|
73 | PetscFunctionReturn(PETSC_SUCCESS); |
| 743 | } | ||
| 744 | |||
| 745 | 345 | static PetscErrorCode EPSComputeVectors_CISS(EPS eps) | |
| 746 | { | ||
| 747 | 345 | EPS_CISS *ctx = (EPS_CISS*)eps->data; | |
| 748 | 345 | PetscInt n; | |
| 749 | 345 | Mat Z,B=NULL; | |
| 750 | |||
| 751 |
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345 | PetscFunctionBegin; |
| 752 |
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345 | if (eps->ishermitian) { |
| 753 |
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|
176 | if (eps->isgeneralized && !eps->ispositive) PetscCall(EPSComputeVectors_Indefinite(eps)); |
| 754 |
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|
176 | else PetscCall(EPSComputeVectors_Hermitian(eps)); |
| 755 |
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|
176 | if (eps->isgeneralized && eps->ispositive && ctx->extraction == EPS_CISS_EXTRACTION_HANKEL) { |
| 756 | /* normalize to have unit B-norm */ | ||
| 757 |
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20 | PetscCall(STGetMatrix(eps->st,1,&B)); |
| 758 |
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20 | PetscCall(BVSetMatrix(eps->V,B,PETSC_FALSE)); |
| 759 |
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20 | PetscCall(BVNormalize(eps->V,NULL)); |
| 760 |
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20 | PetscCall(BVSetMatrix(eps->V,NULL,PETSC_FALSE)); |
| 761 | } | ||
| 762 |
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|
176 | PetscFunctionReturn(PETSC_SUCCESS); |
| 763 | } | ||
| 764 |
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169 | PetscCall(DSGetDimensions(eps->ds,&n,NULL,NULL,NULL)); |
| 765 |
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|
169 | PetscCall(BVSetActiveColumns(eps->V,0,n)); |
| 766 | |||
| 767 | /* right eigenvectors */ | ||
| 768 |
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169 | PetscCall(DSVectors(eps->ds,DS_MAT_X,NULL,NULL)); |
| 769 | |||
| 770 | /* V = V * Z */ | ||
| 771 |
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169 | PetscCall(DSGetMat(eps->ds,DS_MAT_X,&Z)); |
| 772 |
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169 | PetscCall(BVMultInPlace(eps->V,Z,0,n)); |
| 773 |
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169 | PetscCall(DSRestoreMat(eps->ds,DS_MAT_X,&Z)); |
| 774 |
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169 | PetscCall(BVSetActiveColumns(eps->V,0,eps->nconv)); |
| 775 | |||
| 776 | /* normalize */ | ||
| 777 |
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|
169 | if (ctx->extraction == EPS_CISS_EXTRACTION_HANKEL) PetscCall(BVNormalize(eps->V,NULL)); |
| 778 |
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|
35 | PetscFunctionReturn(PETSC_SUCCESS); |
| 779 | } | ||
| 780 | |||
| 781 | 146 | static PetscErrorCode EPSCISSSetSizes_CISS(EPS eps,PetscInt ip,PetscInt bs,PetscInt ms,PetscInt npart,PetscInt bsmax,PetscBool realmats) | |
| 782 | { | ||
| 783 | 146 | EPS_CISS *ctx = (EPS_CISS*)eps->data; | |
| 784 | 146 | PetscInt oN,oL,oM,oLmax,onpart; | |
| 785 | 146 | PetscMPIInt size; | |
| 786 | |||
| 787 |
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146 | PetscFunctionBegin; |
| 788 | 146 | oN = ctx->N; | |
| 789 |
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146 | if (ip == PETSC_DETERMINE) { |
| 790 | ✗ | if (ctx->N!=32) { ctx->N =32; ctx->M = ctx->N/4; } | |
| 791 |
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146 | } else if (ip != PETSC_CURRENT) { |
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146 | PetscCheck(ip>0,PetscObjectComm((PetscObject)eps),PETSC_ERR_ARG_OUTOFRANGE,"The ip argument must be > 0"); |
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146 | PetscCheck(ip%2==0,PetscObjectComm((PetscObject)eps),PETSC_ERR_ARG_OUTOFRANGE,"The ip argument must be an even number"); |
| 794 |
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146 | if (ctx->N!=ip) { ctx->N = ip; ctx->M = ctx->N/4; } |
| 795 | } | ||
| 796 | 146 | oL = ctx->L; | |
| 797 |
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146 | if (bs == PETSC_DETERMINE) { |
| 798 | ✗ | ctx->L = 16; | |
| 799 |
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146 | } else if (bs != PETSC_CURRENT) { |
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146 | PetscCheck(bs>0,PetscObjectComm((PetscObject)eps),PETSC_ERR_ARG_OUTOFRANGE,"The bs argument must be > 0"); |
| 801 | 146 | ctx->L = bs; | |
| 802 | } | ||
| 803 | 146 | oM = ctx->M; | |
| 804 |
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146 | if (ms == PETSC_DETERMINE) { |
| 805 | ✗ | ctx->M = ctx->N/4; | |
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146 | } else if (ms != PETSC_CURRENT) { |
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146 | PetscCheck(ms>0,PetscObjectComm((PetscObject)eps),PETSC_ERR_ARG_OUTOFRANGE,"The ms argument must be > 0"); |
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146 | PetscCheck(ms<=ctx->N,PetscObjectComm((PetscObject)eps),PETSC_ERR_ARG_OUTOFRANGE,"The ms argument must be less than or equal to the number of integration points"); |
| 809 | 146 | ctx->M = ms; | |
| 810 | } | ||
| 811 | 146 | onpart = ctx->npart; | |
| 812 |
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146 | if (npart == PETSC_DETERMINE) { |
| 813 | ✗ | ctx->npart = 1; | |
| 814 |
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146 | } else if (npart != PETSC_CURRENT) { |
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146 | PetscCallMPI(MPI_Comm_size(PetscObjectComm((PetscObject)eps),&size)); |
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146 | PetscCheck(npart>0 && npart<=size,PetscObjectComm((PetscObject)eps),PETSC_ERR_ARG_OUTOFRANGE,"Illegal value of npart"); |
| 817 | 146 | ctx->npart = npart; | |
| 818 | } | ||
| 819 | 146 | oLmax = ctx->L_max; | |
| 820 |
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146 | if (bsmax == PETSC_DETERMINE) { |
| 821 | ✗ | ctx->L_max = 64; | |
| 822 |
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146 | } else if (bsmax != PETSC_CURRENT) { |
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146 | PetscCheck(bsmax>0,PetscObjectComm((PetscObject)eps),PETSC_ERR_ARG_OUTOFRANGE,"The bsmax argument must be > 0"); |
| 824 | 146 | ctx->L_max = PetscMax(bsmax,ctx->L); | |
| 825 | } | ||
| 826 |
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146 | if (onpart != ctx->npart || oN != ctx->N || realmats != ctx->isreal) { |
| 827 |
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126 | PetscCall(SlepcContourDataDestroy(&ctx->contour)); |
| 828 |
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126 | PetscCall(PetscInfo(eps,"Resetting the contour data structure due to a change of parameters\n")); |
| 829 | 126 | eps->state = EPS_STATE_INITIAL; | |
| 830 | } | ||
| 831 | 146 | ctx->isreal = realmats; | |
| 832 |
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146 | if (oL != ctx->L || oM != ctx->M || oLmax != ctx->L_max) eps->state = EPS_STATE_INITIAL; |
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34 | PetscFunctionReturn(PETSC_SUCCESS); |
| 834 | } | ||
| 835 | |||
| 836 | /*@ | ||
| 837 | EPSCISSSetSizes - Sets the values of various size parameters in the CISS solver. | ||
| 838 | |||
| 839 | Logically Collective | ||
| 840 | |||
| 841 | Input Parameters: | ||
| 842 | + eps - the linear eigensolver context | ||
| 843 | . ip - number of integration points | ||
| 844 | . bs - block size | ||
| 845 | . ms - moment size | ||
| 846 | . npart - number of partitions when splitting the communicator | ||
| 847 | . bsmax - max block size | ||
| 848 | - realmats - $A$ and $B$ are real | ||
| 849 | |||
| 850 | Options Database Keys: | ||
| 851 | + -eps_ciss_integration_points ip - sets the number of integration points | ||
| 852 | . -eps_ciss_blocksize bs - sets the block size | ||
| 853 | . -eps_ciss_moments ms - sets the moment size | ||
| 854 | . -eps_ciss_partitions npart - sets the number of partitions | ||
| 855 | . -eps_ciss_maxblocksize bsmax - sets the maximum block size | ||
| 856 | - -eps_ciss_realmats (true|false) - $A$ and $B$ are real | ||
| 857 | |||
| 858 | Notes: | ||
| 859 | For all integer arguments, you can use `PETSC_CURRENT` to keep the current value, and | ||
| 860 | `PETSC_DETERMINE` to set them to a default value. | ||
| 861 | |||
| 862 | The default number of partitions is 1. This means the internal `KSP` object is shared | ||
| 863 | among all processes of the `EPS` communicator. Otherwise, the communicator is split | ||
| 864 | into `npart` communicators, so that `npart` `KSP` solves proceed simultaneously. | ||
| 865 | |||
| 866 | For a detailed description of the parameters see {cite:p}`Mae16`. | ||
| 867 | |||
| 868 | Level: advanced | ||
| 869 | |||
| 870 | .seealso: [](ch:eps), `EPSCISS`, `EPSCISSGetSizes()`, `EPSCISSSetThreshold()`, `EPSCISSSetRefinement()` | ||
| 871 | @*/ | ||
| 872 | 146 | PetscErrorCode EPSCISSSetSizes(EPS eps,PetscInt ip,PetscInt bs,PetscInt ms,PetscInt npart,PetscInt bsmax,PetscBool realmats) | |
| 873 | { | ||
| 874 |
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146 | PetscFunctionBegin; |
| 875 |
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146 | PetscValidHeaderSpecific(eps,EPS_CLASSID,1); |
| 876 |
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146 | PetscValidLogicalCollectiveInt(eps,ip,2); |
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146 | PetscValidLogicalCollectiveInt(eps,bs,3); |
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146 | PetscValidLogicalCollectiveInt(eps,ms,4); |
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146 | PetscValidLogicalCollectiveInt(eps,npart,5); |
| 880 |
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146 | PetscValidLogicalCollectiveInt(eps,bsmax,6); |
| 881 |
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146 | PetscValidLogicalCollectiveBool(eps,realmats,7); |
| 882 |
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146 | PetscTryMethod(eps,"EPSCISSSetSizes_C",(EPS,PetscInt,PetscInt,PetscInt,PetscInt,PetscInt,PetscBool),(eps,ip,bs,ms,npart,bsmax,realmats)); |
| 883 |
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|
146 | PetscFunctionReturn(PETSC_SUCCESS); |
| 884 | } | ||
| 885 | |||
| 886 | 345 | static PetscErrorCode EPSCISSGetSizes_CISS(EPS eps,PetscInt *ip,PetscInt *bs,PetscInt *ms,PetscInt *npart,PetscInt *bsmax,PetscBool *realmats) | |
| 887 | { | ||
| 888 | 345 | EPS_CISS *ctx = (EPS_CISS*)eps->data; | |
| 889 | |||
| 890 |
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345 | PetscFunctionBegin; |
| 891 |
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345 | if (ip) *ip = ctx->N; |
| 892 |
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345 | if (bs) *bs = ctx->L; |
| 893 |
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345 | if (ms) *ms = ctx->M; |
| 894 |
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345 | if (npart) *npart = ctx->npart; |
| 895 |
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345 | if (bsmax) *bsmax = ctx->L_max; |
| 896 |
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345 | if (realmats) *realmats = ctx->isreal; |
| 897 |
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345 | PetscFunctionReturn(PETSC_SUCCESS); |
| 898 | } | ||
| 899 | |||
| 900 | /*@ | ||
| 901 | EPSCISSGetSizes - Gets the values of various size parameters in the CISS solver. | ||
| 902 | |||
| 903 | Not Collective | ||
| 904 | |||
| 905 | Input Parameter: | ||
| 906 | . eps - the linear eigensolver context | ||
| 907 | |||
| 908 | Output Parameters: | ||
| 909 | + ip - number of integration points | ||
| 910 | . bs - block size | ||
| 911 | . ms - moment size | ||
| 912 | . npart - number of partitions when splitting the communicator | ||
| 913 | . bsmax - max block size | ||
| 914 | - realmats - $A$ and $B$ are real | ||
| 915 | |||
| 916 | Level: advanced | ||
| 917 | |||
| 918 | .seealso: [](ch:eps), `EPSCISS`, `EPSCISSSetSizes()` | ||
| 919 | @*/ | ||
| 920 | 345 | PetscErrorCode EPSCISSGetSizes(EPS eps,PetscInt *ip,PetscInt *bs,PetscInt *ms,PetscInt *npart,PetscInt *bsmax,PetscBool *realmats) | |
| 921 | { | ||
| 922 |
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345 | PetscFunctionBegin; |
| 923 |
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345 | PetscValidHeaderSpecific(eps,EPS_CLASSID,1); |
| 924 |
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|
345 | PetscUseMethod(eps,"EPSCISSGetSizes_C",(EPS,PetscInt*,PetscInt*,PetscInt*,PetscInt*,PetscInt*,PetscBool*),(eps,ip,bs,ms,npart,bsmax,realmats)); |
| 925 |
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|
345 | PetscFunctionReturn(PETSC_SUCCESS); |
| 926 | } | ||
| 927 | |||
| 928 | 30 | static PetscErrorCode EPSCISSSetThreshold_CISS(EPS eps,PetscReal delta,PetscReal spur) | |
| 929 | { | ||
| 930 | 30 | EPS_CISS *ctx = (EPS_CISS*)eps->data; | |
| 931 | |||
| 932 |
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30 | PetscFunctionBegin; |
| 933 |
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30 | if (delta == (PetscReal)PETSC_DETERMINE) { |
| 934 | ✗ | ctx->delta = SLEPC_DEFAULT_TOL*1e-4; | |
| 935 |
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30 | } else if (delta != (PetscReal)PETSC_CURRENT) { |
| 936 |
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|
30 | PetscCheck(delta>0.0,PetscObjectComm((PetscObject)eps),PETSC_ERR_ARG_OUTOFRANGE,"The delta argument must be > 0.0"); |
| 937 | 30 | ctx->delta = delta; | |
| 938 | } | ||
| 939 |
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30 | if (spur == (PetscReal)PETSC_DETERMINE) { |
| 940 | ✗ | ctx->spurious_threshold = PetscSqrtReal(SLEPC_DEFAULT_TOL); | |
| 941 |
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30 | } else if (spur != (PetscReal)PETSC_CURRENT) { |
| 942 |
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30 | PetscCheck(spur>0.0,PetscObjectComm((PetscObject)eps),PETSC_ERR_ARG_OUTOFRANGE,"The spurious threshold argument must be > 0.0"); |
| 943 | 30 | ctx->spurious_threshold = spur; | |
| 944 | } | ||
| 945 |
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|
6 | PetscFunctionReturn(PETSC_SUCCESS); |
| 946 | } | ||
| 947 | |||
| 948 | /*@ | ||
| 949 | EPSCISSSetThreshold - Sets the values of various threshold parameters in | ||
| 950 | the CISS solver. | ||
| 951 | |||
| 952 | Logically Collective | ||
| 953 | |||
| 954 | Input Parameters: | ||
| 955 | + eps - the linear eigensolver context | ||
| 956 | . delta - threshold for numerical rank | ||
| 957 | - spur - spurious threshold (to discard spurious eigenpairs) | ||
| 958 | |||
| 959 | Options Database Keys: | ||
| 960 | + -eps_ciss_delta delta - sets the delta | ||
| 961 | - -eps_ciss_spurious_threshold spur - sets the spurious threshold | ||
| 962 | |||
| 963 | Notes: | ||
| 964 | `PETSC_CURRENT` can be used to preserve the current value of any of the | ||
| 965 | arguments, and `PETSC_DETERMINE` to set them to a default value. | ||
| 966 | |||
| 967 | For a detailed description of the parameters see {cite:p}`Mae16`. | ||
| 968 | |||
| 969 | Level: advanced | ||
| 970 | |||
| 971 | .seealso: [](ch:eps), `EPSCISS`, `EPSCISSGetThreshold()`, `EPSCISSSetSizes()`, `EPSCISSSetRefinement()` | ||
| 972 | @*/ | ||
| 973 | 30 | PetscErrorCode EPSCISSSetThreshold(EPS eps,PetscReal delta,PetscReal spur) | |
| 974 | { | ||
| 975 |
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30 | PetscFunctionBegin; |
| 976 |
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30 | PetscValidHeaderSpecific(eps,EPS_CLASSID,1); |
| 977 |
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|
30 | PetscValidLogicalCollectiveReal(eps,delta,2); |
| 978 |
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|
30 | PetscValidLogicalCollectiveReal(eps,spur,3); |
| 979 |
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30 | PetscTryMethod(eps,"EPSCISSSetThreshold_C",(EPS,PetscReal,PetscReal),(eps,delta,spur)); |
| 980 |
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|
30 | PetscFunctionReturn(PETSC_SUCCESS); |
| 981 | } | ||
| 982 | |||
| 983 | 345 | static PetscErrorCode EPSCISSGetThreshold_CISS(EPS eps,PetscReal *delta,PetscReal *spur) | |
| 984 | { | ||
| 985 | 345 | EPS_CISS *ctx = (EPS_CISS*)eps->data; | |
| 986 | |||
| 987 |
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345 | PetscFunctionBegin; |
| 988 |
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345 | if (delta) *delta = ctx->delta; |
| 989 |
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|
345 | if (spur) *spur = ctx->spurious_threshold; |
| 990 |
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345 | PetscFunctionReturn(PETSC_SUCCESS); |
| 991 | } | ||
| 992 | |||
| 993 | /*@ | ||
| 994 | EPSCISSGetThreshold - Gets the values of various threshold parameters | ||
| 995 | in the CISS solver. | ||
| 996 | |||
| 997 | Not Collective | ||
| 998 | |||
| 999 | Input Parameter: | ||
| 1000 | . eps - the linear eigensolver context | ||
| 1001 | |||
| 1002 | Output Parameters: | ||
| 1003 | + delta - threshold for numerical rank | ||
| 1004 | - spur - spurious threshold (to discard spurious eigenpairs) | ||
| 1005 | |||
| 1006 | Level: advanced | ||
| 1007 | |||
| 1008 | .seealso: [](ch:eps), `EPSCISS`, `EPSCISSSetThreshold()` | ||
| 1009 | @*/ | ||
| 1010 | 345 | PetscErrorCode EPSCISSGetThreshold(EPS eps,PetscReal *delta,PetscReal *spur) | |
| 1011 | { | ||
| 1012 |
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345 | PetscFunctionBegin; |
| 1013 |
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345 | PetscValidHeaderSpecific(eps,EPS_CLASSID,1); |
| 1014 |
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|
345 | PetscUseMethod(eps,"EPSCISSGetThreshold_C",(EPS,PetscReal*,PetscReal*),(eps,delta,spur)); |
| 1015 |
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|
345 | PetscFunctionReturn(PETSC_SUCCESS); |
| 1016 | } | ||
| 1017 | |||
| 1018 | 20 | static PetscErrorCode EPSCISSSetRefinement_CISS(EPS eps,PetscInt inner,PetscInt blsize) | |
| 1019 | { | ||
| 1020 | 20 | EPS_CISS *ctx = (EPS_CISS*)eps->data; | |
| 1021 | |||
| 1022 |
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20 | PetscFunctionBegin; |
| 1023 |
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20 | if (inner == PETSC_DETERMINE) { |
| 1024 | ✗ | ctx->refine_inner = 0; | |
| 1025 |
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20 | } else if (inner != PETSC_CURRENT) { |
| 1026 |
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|
20 | PetscCheck(inner>=0,PetscObjectComm((PetscObject)eps),PETSC_ERR_ARG_OUTOFRANGE,"The refine inner argument must be >= 0"); |
| 1027 | 20 | ctx->refine_inner = inner; | |
| 1028 | } | ||
| 1029 |
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20 | if (blsize == PETSC_DETERMINE) { |
| 1030 | ✗ | ctx->refine_blocksize = 0; | |
| 1031 |
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20 | } else if (blsize != PETSC_CURRENT) { |
| 1032 |
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20 | PetscCheck(blsize>=0,PetscObjectComm((PetscObject)eps),PETSC_ERR_ARG_OUTOFRANGE,"The refine blocksize argument must be >= 0"); |
| 1033 | 20 | ctx->refine_blocksize = blsize; | |
| 1034 | } | ||
| 1035 |
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|
4 | PetscFunctionReturn(PETSC_SUCCESS); |
| 1036 | } | ||
| 1037 | |||
| 1038 | /*@ | ||
| 1039 | EPSCISSSetRefinement - Sets the values of various refinement parameters | ||
| 1040 | in the CISS solver. | ||
| 1041 | |||
| 1042 | Logically Collective | ||
| 1043 | |||
| 1044 | Input Parameters: | ||
| 1045 | + eps - the linear eigensolver context | ||
| 1046 | . inner - number of iterative refinement iterations (inner loop) | ||
| 1047 | - blsize - number of iterative refinement iterations (blocksize loop) | ||
| 1048 | |||
| 1049 | Options Database Keys: | ||
| 1050 | + -eps_ciss_refine_inner inner - sets number of inner iterations | ||
| 1051 | - -eps_ciss_refine_blocksize blsize - sets number of blocksize iterations | ||
| 1052 | |||
| 1053 | Notes: | ||
| 1054 | `PETSC_CURRENT` can be used to preserve the current value of any of the | ||
| 1055 | arguments, and `PETSC_DETERMINE` to set them to a default of 0 (no refinement). | ||
| 1056 | |||
| 1057 | For a detailed description of the parameters see {cite:p}`Mae16`. | ||
| 1058 | |||
| 1059 | Level: advanced | ||
| 1060 | |||
| 1061 | .seealso: [](ch:eps), `EPSCISS`, `EPSCISSGetRefinement()`, `EPSCISSSetSizes()`, `EPSCISSSetThreshold()` | ||
| 1062 | @*/ | ||
| 1063 | 20 | PetscErrorCode EPSCISSSetRefinement(EPS eps,PetscInt inner,PetscInt blsize) | |
| 1064 | { | ||
| 1065 |
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20 | PetscFunctionBegin; |
| 1066 |
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20 | PetscValidHeaderSpecific(eps,EPS_CLASSID,1); |
| 1067 |
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20 | PetscValidLogicalCollectiveInt(eps,inner,2); |
| 1068 |
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20 | PetscValidLogicalCollectiveInt(eps,blsize,3); |
| 1069 |
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20 | PetscTryMethod(eps,"EPSCISSSetRefinement_C",(EPS,PetscInt,PetscInt),(eps,inner,blsize)); |
| 1070 |
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20 | PetscFunctionReturn(PETSC_SUCCESS); |
| 1071 | } | ||
| 1072 | |||
| 1073 | 345 | static PetscErrorCode EPSCISSGetRefinement_CISS(EPS eps,PetscInt *inner,PetscInt *blsize) | |
| 1074 | { | ||
| 1075 | 345 | EPS_CISS *ctx = (EPS_CISS*)eps->data; | |
| 1076 | |||
| 1077 |
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345 | PetscFunctionBegin; |
| 1078 |
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345 | if (inner) *inner = ctx->refine_inner; |
| 1079 |
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345 | if (blsize) *blsize = ctx->refine_blocksize; |
| 1080 |
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345 | PetscFunctionReturn(PETSC_SUCCESS); |
| 1081 | } | ||
| 1082 | |||
| 1083 | /*@ | ||
| 1084 | EPSCISSGetRefinement - Gets the values of various refinement parameters | ||
| 1085 | in the CISS solver. | ||
| 1086 | |||
| 1087 | Not Collective | ||
| 1088 | |||
| 1089 | Input Parameter: | ||
| 1090 | . eps - the linear eigensolver context | ||
| 1091 | |||
| 1092 | Output Parameters: | ||
| 1093 | + inner - number of iterative refinement iterations (inner loop) | ||
| 1094 | - blsize - number of iterative refinement iterations (blocksize loop) | ||
| 1095 | |||
| 1096 | Level: advanced | ||
| 1097 | |||
| 1098 | .seealso: [](ch:eps), `EPSCISS`, `EPSCISSSetRefinement()` | ||
| 1099 | @*/ | ||
| 1100 | 345 | PetscErrorCode EPSCISSGetRefinement(EPS eps, PetscInt *inner, PetscInt *blsize) | |
| 1101 | { | ||
| 1102 |
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345 | PetscFunctionBegin; |
| 1103 |
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345 | PetscValidHeaderSpecific(eps,EPS_CLASSID,1); |
| 1104 |
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345 | PetscUseMethod(eps,"EPSCISSGetRefinement_C",(EPS,PetscInt*,PetscInt*),(eps,inner,blsize)); |
| 1105 |
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345 | PetscFunctionReturn(PETSC_SUCCESS); |
| 1106 | } | ||
| 1107 | |||
| 1108 | 193 | static PetscErrorCode EPSCISSSetStrategy_CISS(EPS eps,EPSCISSStrategy strategy) | |
| 1109 | { | ||
| 1110 | 193 | EPS_CISS *ctx = (EPS_CISS*)eps->data; | |
| 1111 | |||
| 1112 |
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193 | PetscFunctionBegin; |
| 1113 |
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193 | if (ctx->strategy != strategy) { |
| 1114 | 193 | ctx->strategy = strategy; | |
| 1115 | 193 | eps->state = EPS_STATE_INITIAL; | |
| 1116 | } | ||
| 1117 |
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193 | PetscFunctionReturn(PETSC_SUCCESS); |
| 1118 | } | ||
| 1119 | |||
| 1120 | /*@ | ||
| 1121 | EPSCISSSetStrategy - Sets the strategy to be used when performing linear solves | ||
| 1122 | associated with integration points in the CISS solver. | ||
| 1123 | |||
| 1124 | Logically Collective | ||
| 1125 | |||
| 1126 | Input Parameters: | ||
| 1127 | + eps - the linear eigensolver context | ||
| 1128 | - strategy - the strategy, see `EPSCISSStrategy` for possible values | ||
| 1129 | |||
| 1130 | Options Database Key: | ||
| 1131 | . -eps_ciss_strategy (usest|split|multishift) - sets the strategy | ||
| 1132 | |||
| 1133 | Notes: | ||
| 1134 | When the `usest` strategy is selected the linear solves can be configured by | ||
| 1135 | setting options for the `KSP` object obtained with `STGetKSP()`. | ||
| 1136 | Otherwise, several `KSP` objects are created, which can be accessed | ||
| 1137 | with `EPSCISSGetKSPs()`. | ||
| 1138 | |||
| 1139 | The default is to use the `ST`, unless several partitions have been | ||
| 1140 | specified, see `EPSCISSSetSizes()`. | ||
| 1141 | |||
| 1142 | Level: advanced | ||
| 1143 | |||
| 1144 | .seealso: [](ch:eps), `EPSCISS`, `EPSCISSGetStrategy()`, `EPSCISSSetSizes()`, `EPSCISSGetKSPs()`, `STGetKSP()` | ||
| 1145 | @*/ | ||
| 1146 | 193 | PetscErrorCode EPSCISSSetStrategy(EPS eps,EPSCISSStrategy strategy) | |
| 1147 | { | ||
| 1148 |
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193 | PetscFunctionBegin; |
| 1149 |
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193 | PetscValidHeaderSpecific(eps,EPS_CLASSID,1); |
| 1150 |
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193 | PetscValidLogicalCollectiveEnum(eps,strategy,2); |
| 1151 |
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193 | PetscTryMethod(eps,"EPSCISSSetStrategy_C",(EPS,EPSCISSStrategy),(eps,strategy)); |
| 1152 |
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193 | PetscFunctionReturn(PETSC_SUCCESS); |
| 1153 | } | ||
| 1154 | |||
| 1155 | ✗ | static PetscErrorCode EPSCISSGetStrategy_CISS(EPS eps,EPSCISSStrategy *strategy) | |
| 1156 | { | ||
| 1157 | ✗ | EPS_CISS *ctx = (EPS_CISS*)eps->data; | |
| 1158 | |||
| 1159 | ✗ | PetscFunctionBegin; | |
| 1160 | ✗ | *strategy = ctx->strategy; | |
| 1161 | ✗ | PetscFunctionReturn(PETSC_SUCCESS); | |
| 1162 | } | ||
| 1163 | |||
| 1164 | /*@ | ||
| 1165 | EPSCISSGetStrategy - Gets the strategy to be used when performing linear solves | ||
| 1166 | associated with integration points in the CISS solver. | ||
| 1167 | |||
| 1168 | Not Collective | ||
| 1169 | |||
| 1170 | Input Parameter: | ||
| 1171 | . eps - the linear eigensolver context | ||
| 1172 | |||
| 1173 | Output Parameter: | ||
| 1174 | . strategy - the strategy | ||
| 1175 | |||
| 1176 | Level: advanced | ||
| 1177 | |||
| 1178 | .seealso: [](ch:eps), `EPSCISS`, `EPSCISSSetStrategy()`, `EPSCISSStrategy` | ||
| 1179 | @*/ | ||
| 1180 | ✗ | PetscErrorCode EPSCISSGetStrategy(EPS eps,EPSCISSStrategy *strategy) | |
| 1181 | { | ||
| 1182 | ✗ | PetscFunctionBegin; | |
| 1183 | ✗ | PetscValidHeaderSpecific(eps,EPS_CLASSID,1); | |
| 1184 | ✗ | PetscAssertPointer(strategy,2); | |
| 1185 | ✗ | PetscUseMethod(eps,"EPSCISSGetStrategy_C",(EPS,EPSCISSStrategy*),(eps,strategy)); | |
| 1186 | ✗ | PetscFunctionReturn(PETSC_SUCCESS); | |
| 1187 | } | ||
| 1188 | |||
| 1189 | 73 | static PetscErrorCode EPSCISSSetQuadRule_CISS(EPS eps,EPSCISSQuadRule quad) | |
| 1190 | { | ||
| 1191 | 73 | EPS_CISS *ctx = (EPS_CISS*)eps->data; | |
| 1192 | |||
| 1193 |
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73 | PetscFunctionBegin; |
| 1194 |
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73 | if (ctx->quad != quad) { |
| 1195 | 73 | ctx->quad = quad; | |
| 1196 | 73 | eps->state = EPS_STATE_INITIAL; | |
| 1197 | } | ||
| 1198 |
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73 | PetscFunctionReturn(PETSC_SUCCESS); |
| 1199 | } | ||
| 1200 | |||
| 1201 | /*@ | ||
| 1202 | EPSCISSSetQuadRule - Sets the quadrature rule used in the CISS solver. | ||
| 1203 | |||
| 1204 | Logically Collective | ||
| 1205 | |||
| 1206 | Input Parameters: | ||
| 1207 | + eps - the linear eigensolver context | ||
| 1208 | - quad - the quadrature rule, see `EPSCISSQuadRule` for possible values | ||
| 1209 | |||
| 1210 | Options Database Key: | ||
| 1211 | . -eps_ciss_quadrule (trapezoidal|chebyshev) - sets the quadrature rule | ||
| 1212 | |||
| 1213 | Notes: | ||
| 1214 | By default, the trapezoidal rule is used (`EPS_CISS_QUADRULE_TRAPEZOIDAL`). | ||
| 1215 | |||
| 1216 | If the `chebyshev` option is specified (`EPS_CISS_QUADRULE_CHEBYSHEV`), then | ||
| 1217 | Chebyshev points are used as quadrature points. | ||
| 1218 | |||
| 1219 | Level: advanced | ||
| 1220 | |||
| 1221 | .seealso: [](ch:eps), `EPSCISS`, `EPSCISSGetQuadRule()`, `EPSCISSQuadRule` | ||
| 1222 | @*/ | ||
| 1223 | 73 | PetscErrorCode EPSCISSSetQuadRule(EPS eps,EPSCISSQuadRule quad) | |
| 1224 | { | ||
| 1225 |
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73 | PetscFunctionBegin; |
| 1226 |
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73 | PetscValidHeaderSpecific(eps,EPS_CLASSID,1); |
| 1227 |
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73 | PetscValidLogicalCollectiveEnum(eps,quad,2); |
| 1228 |
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|
73 | PetscTryMethod(eps,"EPSCISSSetQuadRule_C",(EPS,EPSCISSQuadRule),(eps,quad)); |
| 1229 |
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|
73 | PetscFunctionReturn(PETSC_SUCCESS); |
| 1230 | } | ||
| 1231 | |||
| 1232 | 10 | static PetscErrorCode EPSCISSGetQuadRule_CISS(EPS eps,EPSCISSQuadRule *quad) | |
| 1233 | { | ||
| 1234 | 10 | EPS_CISS *ctx = (EPS_CISS*)eps->data; | |
| 1235 | |||
| 1236 |
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10 | PetscFunctionBegin; |
| 1237 | 10 | *quad = ctx->quad; | |
| 1238 |
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|
10 | PetscFunctionReturn(PETSC_SUCCESS); |
| 1239 | } | ||
| 1240 | |||
| 1241 | /*@ | ||
| 1242 | EPSCISSGetQuadRule - Gets the quadrature rule used in the CISS solver. | ||
| 1243 | |||
| 1244 | Not Collective | ||
| 1245 | |||
| 1246 | Input Parameter: | ||
| 1247 | . eps - the linear eigensolver context | ||
| 1248 | |||
| 1249 | Output Parameter: | ||
| 1250 | . quad - quadrature rule | ||
| 1251 | |||
| 1252 | Level: advanced | ||
| 1253 | |||
| 1254 | .seealso: [](ch:eps), `EPSCISS`, `EPSCISSSetQuadRule()`, `EPSCISSQuadRule` | ||
| 1255 | @*/ | ||
| 1256 | 10 | PetscErrorCode EPSCISSGetQuadRule(EPS eps,EPSCISSQuadRule *quad) | |
| 1257 | { | ||
| 1258 |
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10 | PetscFunctionBegin; |
| 1259 |
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10 | PetscValidHeaderSpecific(eps,EPS_CLASSID,1); |
| 1260 |
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10 | PetscAssertPointer(quad,2); |
| 1261 |
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10 | PetscUseMethod(eps,"EPSCISSGetQuadRule_C",(EPS,EPSCISSQuadRule*),(eps,quad)); |
| 1262 |
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|
10 | PetscFunctionReturn(PETSC_SUCCESS); |
| 1263 | } | ||
| 1264 | |||
| 1265 | 90 | static PetscErrorCode EPSCISSSetExtraction_CISS(EPS eps,EPSCISSExtraction extraction) | |
| 1266 | { | ||
| 1267 | 90 | EPS_CISS *ctx = (EPS_CISS*)eps->data; | |
| 1268 | |||
| 1269 |
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90 | PetscFunctionBegin; |
| 1270 |
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90 | if (ctx->extraction != extraction) { |
| 1271 | 75 | ctx->extraction = extraction; | |
| 1272 | 75 | eps->state = EPS_STATE_INITIAL; | |
| 1273 | } | ||
| 1274 |
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|
90 | PetscFunctionReturn(PETSC_SUCCESS); |
| 1275 | } | ||
| 1276 | |||
| 1277 | /*@ | ||
| 1278 | EPSCISSSetExtraction - Sets the extraction technique used in the CISS solver. | ||
| 1279 | |||
| 1280 | Logically Collective | ||
| 1281 | |||
| 1282 | Input Parameters: | ||
| 1283 | + eps - the linear eigensolver context | ||
| 1284 | - extraction - the extraction technique, see `EPSCISSExtraction` for possible values | ||
| 1285 | |||
| 1286 | Options Database Key: | ||
| 1287 | . -eps_ciss_extraction (ritz|hankel) - sets the extraction technique | ||
| 1288 | |||
| 1289 | Notes: | ||
| 1290 | By default, the Rayleigh-Ritz extraction is used (`EPS_CISS_EXTRACTION_RITZ`), | ||
| 1291 | see {cite:p}`Sak07`. | ||
| 1292 | |||
| 1293 | If the `hankel` option is specified (`EPS_CISS_EXTRACTION_HANKEL`), then | ||
| 1294 | the block Hankel method is used for extracting eigenpairs {cite:p}`Sak03`. | ||
| 1295 | |||
| 1296 | Level: advanced | ||
| 1297 | |||
| 1298 | .seealso: [](ch:eps), `EPSCISS`, `EPSCISSGetExtraction()`, `EPSCISSExtraction` | ||
| 1299 | @*/ | ||
| 1300 | 90 | PetscErrorCode EPSCISSSetExtraction(EPS eps,EPSCISSExtraction extraction) | |
| 1301 | { | ||
| 1302 |
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90 | PetscFunctionBegin; |
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90 | PetscValidHeaderSpecific(eps,EPS_CLASSID,1); |
| 1304 |
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|
90 | PetscValidLogicalCollectiveEnum(eps,extraction,2); |
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90 | PetscTryMethod(eps,"EPSCISSSetExtraction_C",(EPS,EPSCISSExtraction),(eps,extraction)); |
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90 | PetscFunctionReturn(PETSC_SUCCESS); |
| 1307 | } | ||
| 1308 | |||
| 1309 | 10 | static PetscErrorCode EPSCISSGetExtraction_CISS(EPS eps,EPSCISSExtraction *extraction) | |
| 1310 | { | ||
| 1311 | 10 | EPS_CISS *ctx = (EPS_CISS*)eps->data; | |
| 1312 | |||
| 1313 |
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10 | PetscFunctionBegin; |
| 1314 | 10 | *extraction = ctx->extraction; | |
| 1315 |
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10 | PetscFunctionReturn(PETSC_SUCCESS); |
| 1316 | } | ||
| 1317 | |||
| 1318 | /*@ | ||
| 1319 | EPSCISSGetExtraction - Gets the extraction technique used in the CISS solver. | ||
| 1320 | |||
| 1321 | Not Collective | ||
| 1322 | |||
| 1323 | Input Parameter: | ||
| 1324 | . eps - the linear eigensolver context | ||
| 1325 | |||
| 1326 | Output Parameter: | ||
| 1327 | . extraction - extraction technique | ||
| 1328 | |||
| 1329 | Level: advanced | ||
| 1330 | |||
| 1331 | .seealso: [](ch:eps), `EPSCISS`, `EPSCISSSetExtraction()`, `EPSCISSExtraction` | ||
| 1332 | @*/ | ||
| 1333 | 10 | PetscErrorCode EPSCISSGetExtraction(EPS eps,EPSCISSExtraction *extraction) | |
| 1334 | { | ||
| 1335 |
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10 | PetscFunctionBegin; |
| 1336 |
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10 | PetscValidHeaderSpecific(eps,EPS_CLASSID,1); |
| 1337 |
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10 | PetscAssertPointer(extraction,2); |
| 1338 |
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10 | PetscUseMethod(eps,"EPSCISSGetExtraction_C",(EPS,EPSCISSExtraction*),(eps,extraction)); |
| 1339 |
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10 | PetscFunctionReturn(PETSC_SUCCESS); |
| 1340 | } | ||
| 1341 | |||
| 1342 | 3831 | static PetscErrorCode EPSCISSGetKSPs_CISS(EPS eps,PetscInt *nsolve,KSP **ksp) | |
| 1343 | { | ||
| 1344 | 3831 | EPS_CISS *ctx = (EPS_CISS*)eps->data; | |
| 1345 | 3831 | SlepcContourData contour; | |
| 1346 | 3831 | PetscInt i,nsplit; | |
| 1347 | 3831 | KSP ksps,kspm; | |
| 1348 | 3831 | PC pc; | |
| 1349 | 3831 | MPI_Comm child; | |
| 1350 | |||
| 1351 |
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3831 | PetscFunctionBegin; |
| 1352 |
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3831 | PetscCall(EPSCISSGetContour_Private(eps,&contour)); |
| 1353 |
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3831 | if (!contour->ksp) { |
| 1354 |
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|
227 | switch (ctx->strategy) { |
| 1355 | ✗ | case EPS_CISS_STRATEGY_USEST: | |
| 1356 | − | SETERRQ(PETSC_COMM_SELF,PETSC_ERR_SUP,"Should not call EPSCISSGetKSPs() with EPS_CISS_STRATEGY_USEST"); | |
| 1357 | 157 | case EPS_CISS_STRATEGY_SPLIT: | |
| 1358 | 157 | contour->nksp = contour->npoints; | |
| 1359 |
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157 | PetscCall(PetscMalloc1(contour->nksp,&contour->ksp)); |
| 1360 |
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157 | PetscCall(EPSGetST(eps,&eps->st)); |
| 1361 |
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157 | PetscCall(STGetSplitPreconditionerInfo(eps->st,&nsplit,NULL)); |
| 1362 |
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157 | PetscCall(PetscSubcommGetChild(contour->subcomm,&child)); |
| 1363 |
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3601 | for (i=0;i<contour->nksp;i++) { |
| 1364 |
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3444 | PetscCall(KSPCreate(child,&contour->ksp[i])); |
| 1365 |
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3444 | PetscCall(PetscObjectIncrementTabLevel((PetscObject)contour->ksp[i],(PetscObject)eps,1)); |
| 1366 |
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3444 | PetscCall(KSPSetOptionsPrefix(contour->ksp[i],((PetscObject)eps)->prefix)); |
| 1367 |
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3444 | PetscCall(KSPAppendOptionsPrefix(contour->ksp[i],"eps_ciss_")); |
| 1368 |
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3444 | PetscCall(PetscObjectSetOptions((PetscObject)contour->ksp[i],((PetscObject)eps)->options)); |
| 1369 |
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3444 | PetscCall(KSPSetErrorIfNotConverged(contour->ksp[i],PETSC_TRUE)); |
| 1370 |
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|
4788 | PetscCall(KSPSetTolerances(contour->ksp[i],SlepcDefaultTol(eps->tol),PETSC_CURRENT,PETSC_CURRENT,PETSC_CURRENT)); |
| 1371 |
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3444 | PetscCall(KSPGetPC(contour->ksp[i],&pc)); |
| 1372 |
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3444 | if (nsplit) { |
| 1373 |
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640 | PetscCall(KSPSetType(contour->ksp[i],KSPBCGS)); |
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640 | PetscCall(PCSetType(pc,PCBJACOBI)); |
| 1375 | } else { | ||
| 1376 |
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2804 | PetscCall(KSPSetType(contour->ksp[i],KSPPREONLY)); |
| 1377 |
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3444 | PetscCall(PCSetType(pc,PCLU)); |
| 1378 | } | ||
| 1379 | } | ||
| 1380 | break; | ||
| 1381 | 70 | case EPS_CISS_STRATEGY_MULTISHIFT: | |
| 1382 | 70 | contour->nksp = 1; /* one solver per subcomm */ | |
| 1383 |
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70 | PetscCall(PetscMalloc1(contour->nksp,&contour->ksp)); |
| 1384 |
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70 | PetscCall(EPSGetST(eps,&eps->st)); |
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70 | PetscCall(STGetSplitPreconditionerInfo(eps->st,&nsplit,NULL)); |
| 1386 |
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70 | PetscCall(PetscSubcommGetChild(contour->subcomm,&child)); |
| 1387 |
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70 | PetscCall(KSPCreate(child,&contour->ksp[0])); |
| 1388 |
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70 | PetscCall(PetscObjectIncrementTabLevel((PetscObject)contour->ksp[0],(PetscObject)eps,1)); |
| 1389 |
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70 | PetscCall(KSPSetOptionsPrefix(contour->ksp[0],((PetscObject)eps)->prefix)); |
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70 | PetscCall(KSPAppendOptionsPrefix(contour->ksp[0],"eps_ciss_")); |
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70 | PetscCall(PetscObjectSetOptions((PetscObject)contour->ksp[0],((PetscObject)eps)->options)); |
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70 | PetscCall(KSPSetErrorIfNotConverged(contour->ksp[0],PETSC_TRUE)); |
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90 | PetscCall(KSPSetTolerances(contour->ksp[0],SlepcDefaultTol(eps->tol),PETSC_CURRENT,PETSC_CURRENT,PETSC_CURRENT)); |
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70 | PetscCall(KSPGetPC(contour->ksp[0],&pc)); |
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70 | PetscCall(KSPSetType(contour->ksp[0],KSPEKSM)); |
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70 | PetscCall(PCSetType(pc,PCNONE)); |
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120 | PetscCall(KSPEKSMGetKSP(contour->ksp[0],&ksps,eps->isgeneralized?&kspm:NULL)); |
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70 | PetscCall(KSPGetPC(ksps,&pc)); |
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70 | PetscCall(KSPSetType(ksps,KSPPREONLY)); |
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70 | PetscCall(PCSetType(pc,PCLU)); |
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70 | if (eps->isgeneralized) { |
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20 | PetscCall(KSPGetPC(kspm,&pc)); |
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20 | PetscCall(KSPSetType(kspm,KSPPREONLY)); |
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20 | PetscCall(PCSetType(pc,PCLU)); |
| 1405 | } | ||
| 1406 | break; | ||
| 1407 | } | ||
| 1408 | 384 | } | |
| 1409 |
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3831 | if (nsolve) *nsolve = contour->nksp; |
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3831 | if (ksp) *ksp = contour->ksp; |
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821 | PetscFunctionReturn(PETSC_SUCCESS); |
| 1412 | } | ||
| 1413 | |||
| 1414 | /*@ | ||
| 1415 | EPSCISSGetKSPs - Retrieve the array of linear solver objects associated with | ||
| 1416 | the CISS solver. | ||
| 1417 | |||
| 1418 | Not Collective | ||
| 1419 | |||
| 1420 | Input Parameter: | ||
| 1421 | . eps - the linear eigensolver context | ||
| 1422 | |||
| 1423 | Output Parameters: | ||
| 1424 | + nsolve - number of solver objects | ||
| 1425 | - ksp - array of linear solver object | ||
| 1426 | |||
| 1427 | Notes: | ||
| 1428 | In `EPS_CISS_STRATEGY_SPLIT` the number of `KSP` solvers is equal to the number of | ||
| 1429 | integration points divided by the number of partitions, see `EPSCISSSetSizes()`. This | ||
| 1430 | value is halved in the case of real matrices with a region centered at the real axis. | ||
| 1431 | |||
| 1432 | In `EPS_CISS_STRATEGY_MULTISHIFT` only one `KSP` solver is returned. | ||
| 1433 | |||
| 1434 | When the number of partitions is larger than one, MPI processes belonging to different | ||
| 1435 | subcommunicators will obtain different `KSP` objects. | ||
| 1436 | |||
| 1437 | Level: advanced | ||
| 1438 | |||
| 1439 | .seealso: [](ch:eps), `EPSCISS`, `EPSCISSSetSizes()`, `EPSCISSSetStrategy()` | ||
| 1440 | @*/ | ||
| 1441 | 3831 | PetscErrorCode EPSCISSGetKSPs(EPS eps,PetscInt *nsolve,KSP **ksp) | |
| 1442 | { | ||
| 1443 |
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3831 | PetscFunctionBegin; |
| 1444 |
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3831 | PetscValidHeaderSpecific(eps,EPS_CLASSID,1); |
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|
3831 | PetscUseMethod(eps,"EPSCISSGetKSPs_C",(EPS,PetscInt*,KSP**),(eps,nsolve,ksp)); |
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3831 | PetscFunctionReturn(PETSC_SUCCESS); |
| 1447 | } | ||
| 1448 | |||
| 1449 | 345 | static PetscErrorCode EPSReset_CISS(EPS eps) | |
| 1450 | { | ||
| 1451 | 345 | EPS_CISS *ctx = (EPS_CISS*)eps->data; | |
| 1452 | |||
| 1453 |
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345 | PetscFunctionBegin; |
| 1454 |
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345 | PetscCall(BVDestroy(&ctx->S)); |
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345 | PetscCall(BVDestroy(&ctx->V)); |
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345 | PetscCall(BVDestroy(&ctx->Y)); |
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345 | if (ctx->strategy != EPS_CISS_STRATEGY_USEST) PetscCall(SlepcContourDataReset(ctx->contour)); |
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345 | PetscCall(BVDestroy(&ctx->pV)); |
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73 | PetscFunctionReturn(PETSC_SUCCESS); |
| 1460 | } | ||
| 1461 | |||
| 1462 | 345 | static PetscErrorCode EPSSetFromOptions_CISS(EPS eps,PetscOptionItems PetscOptionsObject) | |
| 1463 | { | ||
| 1464 | 345 | PetscReal r3,r4; | |
| 1465 | 345 | PetscInt i1,i2,i3,i4,i5,i6,i7; | |
| 1466 | 345 | PetscBool b1,flg,flg2,flg3,flg4,flg5,flg6; | |
| 1467 | 345 | EPS_CISS *ctx = (EPS_CISS*)eps->data; | |
| 1468 | 345 | EPSCISSQuadRule quad; | |
| 1469 | 345 | EPSCISSExtraction extraction; | |
| 1470 | 345 | EPSCISSStrategy strategy; | |
| 1471 | |||
| 1472 |
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345 | PetscFunctionBegin; |
| 1473 |
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345 | PetscOptionsHeadBegin(PetscOptionsObject,"EPS CISS Options"); |
| 1474 | |||
| 1475 |
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345 | PetscCall(EPSCISSGetSizes(eps,&i1,&i2,&i3,&i4,&i5,&b1)); |
| 1476 |
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345 | PetscCall(PetscOptionsInt("-eps_ciss_integration_points","Number of integration points","EPSCISSSetSizes",i1,&i1,&flg)); |
| 1477 |
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345 | PetscCall(PetscOptionsInt("-eps_ciss_blocksize","Block size","EPSCISSSetSizes",i2,&i2,&flg2)); |
| 1478 |
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345 | PetscCall(PetscOptionsInt("-eps_ciss_moments","Moment size","EPSCISSSetSizes",i3,&i3,&flg3)); |
| 1479 |
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345 | PetscCall(PetscOptionsInt("-eps_ciss_partitions","Number of partitions","EPSCISSSetSizes",i4,&i4,&flg4)); |
| 1480 |
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345 | PetscCall(PetscOptionsInt("-eps_ciss_maxblocksize","Maximum block size","EPSCISSSetSizes",i5,&i5,&flg5)); |
| 1481 |
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345 | PetscCall(PetscOptionsBool("-eps_ciss_realmats","True if A and B are real","EPSCISSSetSizes",b1,&b1,&flg6)); |
| 1482 |
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345 | if (flg || flg2 || flg3 || flg4 || flg5 || flg6) PetscCall(EPSCISSSetSizes(eps,i1,i2,i3,i4,i5,b1)); |
| 1483 | |||
| 1484 |
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345 | PetscCall(EPSCISSGetThreshold(eps,&r3,&r4)); |
| 1485 |
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345 | PetscCall(PetscOptionsReal("-eps_ciss_delta","Threshold for numerical rank","EPSCISSSetThreshold",r3,&r3,&flg)); |
| 1486 |
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345 | PetscCall(PetscOptionsReal("-eps_ciss_spurious_threshold","Threshold for the spurious eigenpairs","EPSCISSSetThreshold",r4,&r4,&flg2)); |
| 1487 |
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345 | if (flg || flg2) PetscCall(EPSCISSSetThreshold(eps,r3,r4)); |
| 1488 | |||
| 1489 |
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345 | PetscCall(EPSCISSGetRefinement(eps,&i6,&i7)); |
| 1490 |
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345 | PetscCall(PetscOptionsInt("-eps_ciss_refine_inner","Number of inner iterative refinement iterations","EPSCISSSetRefinement",i6,&i6,&flg)); |
| 1491 |
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345 | PetscCall(PetscOptionsInt("-eps_ciss_refine_blocksize","Number of blocksize iterative refinement iterations","EPSCISSSetRefinement",i7,&i7,&flg2)); |
| 1492 |
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345 | if (flg || flg2) PetscCall(EPSCISSSetRefinement(eps,i6,i7)); |
| 1493 | |||
| 1494 |
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345 | PetscCall(PetscOptionsDeprecated("-eps_ciss_usest", NULL, "3.26", "Use -eps_ciss_strategy usest")); |
| 1495 |
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345 | PetscCall(PetscOptionsEnum("-eps_ciss_strategy","Strategy for linear solves","EPSCISSSetStrategy",EPSCISSStrategies,(PetscEnum)ctx->strategy,(PetscEnum*)&strategy,&flg)); |
| 1496 |
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345 | if (flg) PetscCall(EPSCISSSetStrategy(eps,strategy)); |
| 1497 | |||
| 1498 |
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345 | PetscCall(PetscOptionsEnum("-eps_ciss_quadrule","Quadrature rule","EPSCISSSetQuadRule",EPSCISSQuadRules,(PetscEnum)ctx->quad,(PetscEnum*)&quad,&flg)); |
| 1499 |
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345 | if (flg) PetscCall(EPSCISSSetQuadRule(eps,quad)); |
| 1500 | |||
| 1501 |
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345 | PetscCall(PetscOptionsEnum("-eps_ciss_extraction","Extraction technique","EPSCISSSetExtraction",EPSCISSExtractions,(PetscEnum)ctx->extraction,(PetscEnum*)&extraction,&flg)); |
| 1502 |
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345 | if (flg) PetscCall(EPSCISSSetExtraction(eps,extraction)); |
| 1503 | |||
| 1504 |
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345 | PetscOptionsHeadEnd(); |
| 1505 |
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73 | PetscFunctionReturn(PETSC_SUCCESS); |
| 1506 | } | ||
| 1507 | |||
| 1508 | 345 | static PetscErrorCode EPSDestroy_CISS(EPS eps) | |
| 1509 | { | ||
| 1510 | 345 | EPS_CISS *ctx = (EPS_CISS*)eps->data; | |
| 1511 | |||
| 1512 |
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345 | PetscFunctionBegin; |
| 1513 |
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345 | PetscCall(SlepcContourDataDestroy(&ctx->contour)); |
| 1514 |
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345 | PetscCall(PetscFree4(ctx->weight,ctx->omega,ctx->pp,ctx->sigma)); |
| 1515 |
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345 | PetscCall(PetscFree(eps->data)); |
| 1516 |
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345 | PetscCall(PetscObjectComposeFunction((PetscObject)eps,"EPSCISSSetSizes_C",NULL)); |
| 1517 |
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345 | PetscCall(PetscObjectComposeFunction((PetscObject)eps,"EPSCISSGetSizes_C",NULL)); |
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345 | PetscCall(PetscObjectComposeFunction((PetscObject)eps,"EPSCISSSetThreshold_C",NULL)); |
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345 | PetscCall(PetscObjectComposeFunction((PetscObject)eps,"EPSCISSGetThreshold_C",NULL)); |
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345 | PetscCall(PetscObjectComposeFunction((PetscObject)eps,"EPSCISSSetRefinement_C",NULL)); |
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345 | PetscCall(PetscObjectComposeFunction((PetscObject)eps,"EPSCISSGetRefinement_C",NULL)); |
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345 | PetscCall(PetscObjectComposeFunction((PetscObject)eps,"EPSCISSSetStrategy_C",NULL)); |
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345 | PetscCall(PetscObjectComposeFunction((PetscObject)eps,"EPSCISSGetStrategy_C",NULL)); |
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345 | PetscCall(PetscObjectComposeFunction((PetscObject)eps,"EPSCISSSetQuadRule_C",NULL)); |
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345 | PetscCall(PetscObjectComposeFunction((PetscObject)eps,"EPSCISSGetQuadRule_C",NULL)); |
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345 | PetscCall(PetscObjectComposeFunction((PetscObject)eps,"EPSCISSSetExtraction_C",NULL)); |
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345 | PetscCall(PetscObjectComposeFunction((PetscObject)eps,"EPSCISSGetExtraction_C",NULL)); |
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345 | PetscCall(PetscObjectComposeFunction((PetscObject)eps,"EPSCISSGetKSPs_C",NULL)); |
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|
73 | PetscFunctionReturn(PETSC_SUCCESS); |
| 1530 | } | ||
| 1531 | |||
| 1532 | ✗ | static PetscErrorCode EPSView_CISS(EPS eps,PetscViewer viewer) | |
| 1533 | { | ||
| 1534 | ✗ | EPS_CISS *ctx = (EPS_CISS*)eps->data; | |
| 1535 | ✗ | PetscBool isascii; | |
| 1536 | ✗ | PetscViewer sviewer; | |
| 1537 | |||
| 1538 | ✗ | PetscFunctionBegin; | |
| 1539 | ✗ | PetscCall(PetscObjectTypeCompare((PetscObject)viewer,PETSCVIEWERASCII,&isascii)); | |
| 1540 | ✗ | if (isascii) { | |
| 1541 | ✗ | PetscCall(PetscViewerASCIIPrintf(viewer," sizes { integration points: %" PetscInt_FMT ", block size: %" PetscInt_FMT ", moment size: %" PetscInt_FMT ", partitions: %" PetscInt_FMT ", maximum block size: %" PetscInt_FMT " }\n",ctx->N,ctx->L,ctx->M,ctx->npart,ctx->L_max)); | |
| 1542 | ✗ | if (ctx->isreal) PetscCall(PetscViewerASCIIPrintf(viewer," exploiting symmetry of integration points\n")); | |
| 1543 | ✗ | PetscCall(PetscViewerASCIIPrintf(viewer," threshold { delta: %g, spurious threshold: %g }\n",(double)ctx->delta,(double)ctx->spurious_threshold)); | |
| 1544 | ✗ | PetscCall(PetscViewerASCIIPrintf(viewer," iterative refinement { inner: %" PetscInt_FMT ", blocksize: %" PetscInt_FMT " }\n",ctx->refine_inner, ctx->refine_blocksize)); | |
| 1545 | ✗ | PetscCall(PetscViewerASCIIPrintf(viewer," extraction: %s\n",EPSCISSExtractions[ctx->extraction])); | |
| 1546 | ✗ | PetscCall(PetscViewerASCIIPrintf(viewer," quadrature rule: %s\n",EPSCISSQuadRules[ctx->quad])); | |
| 1547 | ✗ | switch (ctx->strategy) { | |
| 1548 | ✗ | case EPS_CISS_STRATEGY_USEST: | |
| 1549 | ✗ | PetscCall(PetscViewerASCIIPrintf(viewer," using ST for linear solves\n")); | |
| 1550 | break; | ||
| 1551 | ✗ | case EPS_CISS_STRATEGY_SPLIT: | |
| 1552 | case EPS_CISS_STRATEGY_MULTISHIFT: | ||
| 1553 | ✗ | PetscCall(EPSCISSGetKSPs(eps,NULL,NULL)); | |
| 1554 | ✗ | PetscCall(PetscViewerASCIIPushTab(viewer)); | |
| 1555 | ✗ | if (ctx->npart>1 && ctx->contour->subcomm) { | |
| 1556 | ✗ | PetscCall(PetscViewerGetSubViewer(viewer,ctx->contour->subcomm->child,&sviewer)); | |
| 1557 | ✗ | if (!ctx->contour->subcomm->color) PetscCall(KSPView(ctx->contour->ksp[0],sviewer)); | |
| 1558 | ✗ | PetscCall(PetscViewerFlush(sviewer)); | |
| 1559 | ✗ | PetscCall(PetscViewerRestoreSubViewer(viewer,ctx->contour->subcomm->child,&sviewer)); | |
| 1560 | /* extra call needed because of the two calls to PetscViewerASCIIPushSynchronized() in PetscViewerGetSubViewer() */ | ||
| 1561 | ✗ | PetscCall(PetscViewerASCIIPopSynchronized(viewer)); | |
| 1562 | ✗ | } else PetscCall(KSPView(ctx->contour->ksp[0],viewer)); | |
| 1563 | ✗ | PetscCall(PetscViewerASCIIPopTab(viewer)); | |
| 1564 | break; | ||
| 1565 | } | ||
| 1566 | ✗ | } | |
| 1567 | ✗ | PetscFunctionReturn(PETSC_SUCCESS); | |
| 1568 | } | ||
| 1569 | |||
| 1570 | 690 | static PetscErrorCode EPSSetDefaultST_CISS(EPS eps) | |
| 1571 | { | ||
| 1572 | 690 | EPS_CISS *ctx = (EPS_CISS*)eps->data; | |
| 1573 | 690 | PetscBool usest; | |
| 1574 | 690 | KSP ksp; | |
| 1575 | 690 | PC pc; | |
| 1576 | |||
| 1577 |
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690 | PetscFunctionBegin; |
| 1578 |
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690 | if (!((PetscObject)eps->st)->type_name) { |
| 1579 |
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295 | if (!ctx->strategy) usest = (ctx->npart>1)? PETSC_FALSE: PETSC_TRUE; |
| 1580 | 183 | else usest = (ctx->strategy==EPS_CISS_STRATEGY_USEST)? PETSC_TRUE: PETSC_FALSE; | |
| 1581 |
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295 | if (usest) PetscCall(STSetType(eps->st,STSINVERT)); |
| 1582 | else { | ||
| 1583 | /* we are not going to use ST, so avoid factorizing the matrix */ | ||
| 1584 |
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197 | PetscCall(STSetType(eps->st,STSHIFT)); |
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197 | if (eps->isgeneralized) { |
| 1586 |
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50 | PetscCall(STGetKSP(eps->st,&ksp)); |
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50 | PetscCall(KSPGetPC(ksp,&pc)); |
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50 | PetscCall(PCSetType(pc,PCNONE)); |
| 1589 | } | ||
| 1590 | } | ||
| 1591 | } | ||
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146 | PetscFunctionReturn(PETSC_SUCCESS); |
| 1593 | } | ||
| 1594 | |||
| 1595 | /*MC | ||
| 1596 | EPSCISS - EPSCISS = "ciss" - A contour integral eigensolver based on the | ||
| 1597 | Sakurai-Sugiura scheme. | ||
| 1598 | |||
| 1599 | Notes: | ||
| 1600 | This solver is based on the numerical contour integration idea | ||
| 1601 | proposed initially by {cite:t}`Sak03` and improved later by adding | ||
| 1602 | a Rayleigh-Ritz projection step {cite:p}`Sak07`. | ||
| 1603 | |||
| 1604 | Contour integral methods are able to compute all eigenvalues | ||
| 1605 | lying inside a region of the complex plane. Use `EPSGetRG()` to | ||
| 1606 | specify the region. However, the computational cost is usually high | ||
| 1607 | because multiple linear systems must be solved. For this, we can | ||
| 1608 | use the `KSP` object inside `ST`, or several independent `KSP`s, | ||
| 1609 | see `EPSCISSSetStrategy()`. | ||
| 1610 | |||
| 1611 | Details of the implementation in SLEPc can be found in {cite:p}`Mae16`. | ||
| 1612 | |||
| 1613 | Level: beginner | ||
| 1614 | |||
| 1615 | .seealso: [](ch:eps), `EPS`, `EPSType`, `EPSSetType()`, `EPSGetRG()` | ||
| 1616 | M*/ | ||
| 1617 | 345 | SLEPC_EXTERN PetscErrorCode EPSCreate_CISS(EPS eps) | |
| 1618 | { | ||
| 1619 | 345 | EPS_CISS *ctx = (EPS_CISS*)eps->data; | |
| 1620 | |||
| 1621 |
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345 | PetscFunctionBegin; |
| 1622 |
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345 | PetscCall(PetscNew(&ctx)); |
| 1623 | 345 | eps->data = ctx; | |
| 1624 | |||
| 1625 | 345 | eps->useds = PETSC_TRUE; | |
| 1626 | 345 | eps->categ = EPS_CATEGORY_CONTOUR; | |
| 1627 | |||
| 1628 | 345 | eps->ops->solve = EPSSolve_CISS; | |
| 1629 | 345 | eps->ops->setup = EPSSetUp_CISS; | |
| 1630 | 345 | eps->ops->setupsort = EPSSetUpSort_CISS; | |
| 1631 | 345 | eps->ops->setfromoptions = EPSSetFromOptions_CISS; | |
| 1632 | 345 | eps->ops->destroy = EPSDestroy_CISS; | |
| 1633 | 345 | eps->ops->reset = EPSReset_CISS; | |
| 1634 | 345 | eps->ops->view = EPSView_CISS; | |
| 1635 | 345 | eps->ops->computevectors = EPSComputeVectors_CISS; | |
| 1636 | 345 | eps->ops->setdefaultst = EPSSetDefaultST_CISS; | |
| 1637 | |||
| 1638 |
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345 | PetscCall(PetscObjectComposeFunction((PetscObject)eps,"EPSCISSSetSizes_C",EPSCISSSetSizes_CISS)); |
| 1639 |
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345 | PetscCall(PetscObjectComposeFunction((PetscObject)eps,"EPSCISSGetSizes_C",EPSCISSGetSizes_CISS)); |
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345 | PetscCall(PetscObjectComposeFunction((PetscObject)eps,"EPSCISSSetThreshold_C",EPSCISSSetThreshold_CISS)); |
| 1641 |
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345 | PetscCall(PetscObjectComposeFunction((PetscObject)eps,"EPSCISSGetThreshold_C",EPSCISSGetThreshold_CISS)); |
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345 | PetscCall(PetscObjectComposeFunction((PetscObject)eps,"EPSCISSSetRefinement_C",EPSCISSSetRefinement_CISS)); |
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345 | PetscCall(PetscObjectComposeFunction((PetscObject)eps,"EPSCISSGetRefinement_C",EPSCISSGetRefinement_CISS)); |
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345 | PetscCall(PetscObjectComposeFunction((PetscObject)eps,"EPSCISSSetStrategy_C",EPSCISSSetStrategy_CISS)); |
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345 | PetscCall(PetscObjectComposeFunction((PetscObject)eps,"EPSCISSGetStrategy_C",EPSCISSGetStrategy_CISS)); |
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345 | PetscCall(PetscObjectComposeFunction((PetscObject)eps,"EPSCISSSetQuadRule_C",EPSCISSSetQuadRule_CISS)); |
| 1647 |
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345 | PetscCall(PetscObjectComposeFunction((PetscObject)eps,"EPSCISSGetQuadRule_C",EPSCISSGetQuadRule_CISS)); |
| 1648 |
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345 | PetscCall(PetscObjectComposeFunction((PetscObject)eps,"EPSCISSSetExtraction_C",EPSCISSSetExtraction_CISS)); |
| 1649 |
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345 | PetscCall(PetscObjectComposeFunction((PetscObject)eps,"EPSCISSGetExtraction_C",EPSCISSGetExtraction_CISS)); |
| 1650 |
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345 | PetscCall(PetscObjectComposeFunction((PetscObject)eps,"EPSCISSGetKSPs_C",EPSCISSGetKSPs_CISS)); |
| 1651 | |||
| 1652 | /* set default values of parameters */ | ||
| 1653 | 345 | ctx->N = 32; | |
| 1654 | 345 | ctx->L = 16; | |
| 1655 | 345 | ctx->M = ctx->N/4; | |
| 1656 | 345 | ctx->delta = SLEPC_DEFAULT_TOL*1e-4; | |
| 1657 | 345 | ctx->L_max = 64; | |
| 1658 | 345 | ctx->spurious_threshold = PetscSqrtReal(SLEPC_DEFAULT_TOL); | |
| 1659 | 345 | ctx->isreal = PETSC_FALSE; | |
| 1660 | 345 | ctx->refine_inner = 0; | |
| 1661 | 345 | ctx->refine_blocksize = 0; | |
| 1662 | 345 | ctx->npart = 1; | |
| 1663 | 345 | ctx->quad = (EPSCISSQuadRule)0; | |
| 1664 | 345 | ctx->extraction = EPS_CISS_EXTRACTION_RITZ; | |
| 1665 |
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345 | PetscFunctionReturn(PETSC_SUCCESS); |
| 1666 | } | ||
| 1667 |