| 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: "krylovschur" | ||
| 12 | |||
| 13 | Method: Krylov-Schur | ||
| 14 | |||
| 15 | Algorithm: | ||
| 16 | |||
| 17 | Single-vector Krylov-Schur method for non-symmetric problems, | ||
| 18 | including harmonic extraction. | ||
| 19 | |||
| 20 | References: | ||
| 21 | |||
| 22 | [1] "Krylov-Schur Methods in SLEPc", SLEPc Technical Report STR-7, | ||
| 23 | available at https://slepc.upv.es. | ||
| 24 | |||
| 25 | [2] G.W. Stewart, "A Krylov-Schur Algorithm for Large Eigenproblems", | ||
| 26 | SIAM J. Matrix Anal. App. 23(3):601-614, 2001. | ||
| 27 | |||
| 28 | [3] "Practical Implementation of Harmonic Krylov-Schur", SLEPc Technical | ||
| 29 | Report STR-9, available at https://slepc.upv.es. | ||
| 30 | */ | ||
| 31 | |||
| 32 | #include <slepc/private/epsimpl.h> /*I "slepceps.h" I*/ | ||
| 33 | #include "krylovschur.h" | ||
| 34 | |||
| 35 | 179 | PetscErrorCode EPSGetArbitraryValues(EPS eps,PetscScalar *rr,PetscScalar *ri) | |
| 36 | { | ||
| 37 | 179 | PetscInt i,newi,ld,n,l; | |
| 38 | 179 | Vec xr=eps->work[0],xi=eps->work[1]; | |
| 39 | 179 | PetscScalar re,im,*Zr,*Zi,*X; | |
| 40 | |||
| 41 |
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179 | PetscFunctionBegin; |
| 42 |
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179 | PetscCall(DSGetLeadingDimension(eps->ds,&ld)); |
| 43 |
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179 | PetscCall(DSGetDimensions(eps->ds,&n,&l,NULL,NULL)); |
| 44 |
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3043 | for (i=l;i<n;i++) { |
| 45 | 2864 | re = eps->eigr[i]; | |
| 46 | 2864 | im = eps->eigi[i]; | |
| 47 |
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2864 | PetscCall(STBackTransform(eps->st,1,&re,&im)); |
| 48 | 2864 | newi = i; | |
| 49 |
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2864 | PetscCall(DSVectors(eps->ds,DS_MAT_X,&newi,NULL)); |
| 50 |
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2864 | PetscCall(DSGetArray(eps->ds,DS_MAT_X,&X)); |
| 51 | 2864 | Zr = X+i*ld; | |
| 52 |
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2864 | if (newi==i+1) Zi = X+newi*ld; |
| 53 | else Zi = NULL; | ||
| 54 |
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2864 | PetscCall(EPSComputeRitzVector(eps,Zr,Zi,eps->V,xr,xi)); |
| 55 |
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2864 | PetscCall(DSRestoreArray(eps->ds,DS_MAT_X,&X)); |
| 56 |
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2864 | PetscCall((*eps->arbitrary)(re,im,xr,xi,rr+i,ri+i,eps->arbitraryctx)); |
| 57 | } | ||
| 58 |
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42 | PetscFunctionReturn(PETSC_SUCCESS); |
| 59 | } | ||
| 60 | |||
| 61 | 140 | static PetscErrorCode EPSSetUp_KrylovSchur_Filter(EPS eps) | |
| 62 | { | ||
| 63 | 140 | EPS_KRYLOVSCHUR *ctx = (EPS_KRYLOVSCHUR*)eps->data; | |
| 64 | 140 | PetscBool estimaterange=PETSC_TRUE; | |
| 65 | 140 | PetscReal rleft,rright; | |
| 66 | 140 | Mat A; | |
| 67 | |||
| 68 |
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140 | PetscFunctionBegin; |
| 69 |
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140 | EPSCheckHermitianCondition(eps,PETSC_TRUE," with polynomial filter"); |
| 70 |
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140 | EPSCheckStandardCondition(eps,PETSC_TRUE," with polynomial filter"); |
| 71 |
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140 | PetscCheck(eps->intb<PETSC_MAX_REAL || eps->inta>PETSC_MIN_REAL,PetscObjectComm((PetscObject)eps),PETSC_ERR_ARG_WRONG,"The defined computational interval should have at least one of their sides bounded"); |
| 72 |
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140 | EPSCheckUnsupportedCondition(eps,EPS_FEATURE_ARBITRARY | EPS_FEATURE_REGION | EPS_FEATURE_EXTRACTION | EPS_FEATURE_THRESHOLD,PETSC_TRUE," with polynomial filter"); |
| 73 |
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140 | if (eps->tol==(PetscReal)PETSC_DETERMINE) eps->tol = SLEPC_DEFAULT_TOL*1e-2; /* use tighter tolerance */ |
| 74 |
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140 | PetscCall(STFilterSetInterval(eps->st,eps->inta,eps->intb)); |
| 75 |
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140 | if (!ctx->estimatedrange) { |
| 76 |
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116 | PetscCall(STFilterGetRange(eps->st,&rleft,&rright)); |
| 77 |
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116 | estimaterange = (!rleft && !rright)? PETSC_TRUE: PETSC_FALSE; |
| 78 | } | ||
| 79 |
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14 | if (estimaterange) { /* user did not set a range */ |
| 80 |
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92 | PetscCall(STGetMatrix(eps->st,0,&A)); |
| 81 |
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92 | PetscCall(MatEstimateSpectralRange_EPS(A,&rleft,&rright)); |
| 82 |
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92 | PetscCall(PetscInfo(eps,"Setting eigenvalue range to [%g,%g]\n",(double)rleft,(double)rright)); |
| 83 |
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92 | PetscCall(STFilterSetRange(eps->st,rleft,rright)); |
| 84 | 92 | ctx->estimatedrange = PETSC_TRUE; | |
| 85 | } | ||
| 86 |
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140 | if (eps->ncv==PETSC_DETERMINE && eps->nev==0) eps->nev = 40; /* user did not provide nev estimation */ |
| 87 |
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140 | PetscCall(EPSSetDimensions_Default(eps,&eps->nev,&eps->ncv,&eps->mpd)); |
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140 | PetscCheck(eps->ncv<=eps->nev+eps->mpd,PetscObjectComm((PetscObject)eps),PETSC_ERR_USER_INPUT,"The value of ncv must not be larger than nev+mpd"); |
| 89 |
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140 | if (eps->max_it==PETSC_DETERMINE) eps->max_it = PetscMax(100,2*eps->n/eps->ncv); |
| 90 |
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34 | PetscFunctionReturn(PETSC_SUCCESS); |
| 91 | } | ||
| 92 | |||
| 93 | 5072 | static PetscErrorCode EPSSetUp_KrylovSchur(EPS eps) | |
| 94 | { | ||
| 95 | 5072 | PetscReal eta; | |
| 96 | 5072 | PetscBool isfilt=PETSC_FALSE; | |
| 97 | 5072 | BVOrthogType otype; | |
| 98 | 5072 | BVOrthogBlockType obtype; | |
| 99 | 5072 | EPS_KRYLOVSCHUR *ctx = (EPS_KRYLOVSCHUR*)eps->data; | |
| 100 | 5072 | enum { EPS_KS_DEFAULT,EPS_KS_SYMM,EPS_KS_SLICE,EPS_KS_FILTER,EPS_KS_INDEF,EPS_KS_TWOSIDED } variant; | |
| 101 | |||
| 102 |
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5072 | PetscFunctionBegin; |
| 103 |
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5072 | if (eps->which==EPS_ALL) { /* default values in case of spectrum slicing or polynomial filter */ |
| 104 |
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450 | PetscCall(PetscObjectTypeCompare((PetscObject)eps->st,STFILTER,&isfilt)); |
| 105 |
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450 | if (isfilt) PetscCall(EPSSetUp_KrylovSchur_Filter(eps)); |
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310 | else PetscCall(EPSSetUp_KrylovSchur_Slice(eps)); |
| 107 |
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4622 | } else if (eps->isstructured) { |
| 108 |
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408 | if (eps->problem_type==EPS_BSE) PetscCall(EPSSetUp_KrylovSchur_BSE(eps)); |
| 109 |
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28 | else if (eps->problem_type==EPS_HAMILT) { |
| 110 |
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28 | PetscCheck(!PetscDefined(USE_COMPLEX),PetscObjectComm((PetscObject)eps),PETSC_ERR_SUP,"The Hamiltonian Krylov-Schur eigensolver is not yet implemented for complex scalars"); |
| 111 |
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28 | PetscCall(EPSSetUp_KrylovSchur_Hamilt(eps)); |
| 112 | ✗ | } else SETERRQ(PetscObjectComm((PetscObject)eps),PETSC_ERR_SUP,"Unknown matrix structure"); | |
| 113 |
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237 | PetscFunctionReturn(PETSC_SUCCESS); |
| 114 | } else { | ||
| 115 |
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4214 | PetscCall(EPSSetDimensions_Default(eps,&eps->nev,&eps->ncv,&eps->mpd)); |
| 116 |
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4214 | PetscCheck(eps->ncv<=eps->nev+eps->mpd,PetscObjectComm((PetscObject)eps),PETSC_ERR_USER_INPUT,"The value of ncv must not be larger than nev+mpd"); |
| 117 |
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6090 | if (eps->max_it==PETSC_DETERMINE) eps->max_it = PetscMax(100,2*eps->n/eps->ncv)*((eps->stop==EPS_STOP_THRESHOLD)?10:1); |
| 118 |
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4214 | if (!eps->which) PetscCall(EPSSetWhichEigenpairs_Default(eps)); |
| 119 | } | ||
| 120 |
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4664 | PetscCheck(ctx->lock || eps->mpd>=eps->ncv,PetscObjectComm((PetscObject)eps),PETSC_ERR_SUP,"Should not use mpd parameter in non-locking variant"); |
| 121 | |||
| 122 |
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4664 | EPSCheckDefiniteCondition(eps,eps->arbitrary," with arbitrary selection of eigenpairs"); |
| 123 | |||
| 124 |
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4664 | PetscCheck(eps->extraction==EPS_RITZ || eps->extraction==EPS_HARMONIC,PetscObjectComm((PetscObject)eps),PETSC_ERR_SUP,"Unsupported extraction type"); |
| 125 | |||
| 126 |
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4664 | if (!ctx->keep) ctx->keep = 0.5; |
| 127 | |||
| 128 |
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4664 | PetscCall(EPSAllocateSolution(eps,1)); |
| 129 |
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4664 | PetscCall(EPS_SetInnerProduct(eps)); |
| 130 |
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4664 | if (eps->arbitrary) PetscCall(EPSSetWorkVecs(eps,2)); |
| 131 |
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4646 | else if (eps->ishermitian && !eps->ispositive) PetscCall(EPSSetWorkVecs(eps,1)); |
| 132 | |||
| 133 | /* dispatch solve method */ | ||
| 134 |
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4664 | if (eps->ishermitian) { |
| 135 |
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2263 | if (eps->which==EPS_ALL) { |
| 136 |
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450 | EPSCheckDefiniteCondition(eps,eps->which==EPS_ALL," with spectrum slicing"); |
| 137 |
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450 | variant = isfilt? EPS_KS_FILTER: EPS_KS_SLICE; |
| 138 |
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1813 | } else if (eps->isgeneralized && !eps->ispositive) { |
| 139 | variant = EPS_KS_INDEF; | ||
| 140 | } else { | ||
| 141 |
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1709 | switch (eps->extraction) { |
| 142 | case EPS_RITZ: variant = EPS_KS_SYMM; break; | ||
| 143 | case EPS_HARMONIC: variant = EPS_KS_DEFAULT; break; | ||
| 144 | ✗ | default: SETERRQ(PetscObjectComm((PetscObject)eps),PETSC_ERR_SUP,"Unsupported extraction type"); | |
| 145 | } | ||
| 146 | } | ||
| 147 |
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2401 | } else if (eps->twosided) { |
| 148 | variant = EPS_KS_TWOSIDED; | ||
| 149 | } else { | ||
| 150 |
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2272 | switch (eps->extraction) { |
| 151 | case EPS_RITZ: variant = EPS_KS_DEFAULT; break; | ||
| 152 | case EPS_HARMONIC: variant = EPS_KS_DEFAULT; break; | ||
| 153 | ✗ | default: SETERRQ(PetscObjectComm((PetscObject)eps),PETSC_ERR_SUP,"Unsupported extraction type"); | |
| 154 | } | ||
| 155 | } | ||
| 156 | 543 | switch (variant) { | |
| 157 | 2319 | case EPS_KS_DEFAULT: | |
| 158 | 2319 | eps->ops->solve = EPSSolve_KrylovSchur_Default; | |
| 159 | 2319 | eps->ops->computevectors = EPSComputeVectors_Schur; | |
| 160 |
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2319 | PetscCall(DSSetType(eps->ds,DSNHEP)); |
| 161 |
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2319 | PetscCall(DSSetExtraRow(eps->ds,PETSC_TRUE)); |
| 162 |
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2319 | PetscCall(DSAllocate(eps->ds,eps->ncv+1)); |
| 163 | break; | ||
| 164 | 1802 | case EPS_KS_SYMM: | |
| 165 | case EPS_KS_FILTER: | ||
| 166 | 1802 | eps->ops->solve = EPSSolve_KrylovSchur_Default; | |
| 167 | 1802 | eps->ops->computevectors = EPSComputeVectors_Hermitian; | |
| 168 |
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1802 | PetscCall(DSSetType(eps->ds,DSHEP)); |
| 169 |
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1802 | PetscCall(DSSetCompact(eps->ds,PETSC_TRUE)); |
| 170 |
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1802 | PetscCall(DSSetExtraRow(eps->ds,PETSC_TRUE)); |
| 171 |
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1802 | PetscCall(DSAllocate(eps->ds,eps->ncv+1)); |
| 172 | break; | ||
| 173 | case EPS_KS_SLICE: | ||
| 174 | 310 | eps->ops->solve = EPSSolve_KrylovSchur_Slice; | |
| 175 | 310 | eps->ops->computevectors = EPSComputeVectors_Slice; | |
| 176 | 310 | break; | |
| 177 | case EPS_KS_INDEF: | ||
| 178 | 104 | eps->ops->solve = EPSSolve_KrylovSchur_Indefinite; | |
| 179 | 104 | eps->ops->computevectors = EPSComputeVectors_Indefinite; | |
| 180 |
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104 | PetscCall(DSSetType(eps->ds,DSGHIEP)); |
| 181 |
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104 | PetscCall(DSSetCompact(eps->ds,PETSC_TRUE)); |
| 182 |
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104 | PetscCall(DSSetExtraRow(eps->ds,PETSC_TRUE)); |
| 183 |
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104 | PetscCall(DSAllocate(eps->ds,eps->ncv+1)); |
| 184 | /* force reorthogonalization for pseudo-Lanczos */ | ||
| 185 |
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104 | PetscCall(BVGetOrthogonalization(eps->V,&otype,NULL,&eta,&obtype)); |
| 186 |
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104 | PetscCall(BVSetOrthogonalization(eps->V,otype,BV_ORTHOG_REFINE_ALWAYS,eta,obtype)); |
| 187 | break; | ||
| 188 | case EPS_KS_TWOSIDED: | ||
| 189 | 129 | eps->ops->solve = EPSSolve_KrylovSchur_TwoSided; | |
| 190 | 129 | eps->ops->computevectors = EPSComputeVectors_Schur; | |
| 191 |
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129 | PetscCall(DSSetType(eps->ds,DSNHEPTS)); |
| 192 |
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129 | PetscCall(DSAllocate(eps->ds,eps->ncv+1)); |
| 193 |
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129 | PetscCall(DSSetExtraRow(eps->ds,PETSC_TRUE)); |
| 194 | break; | ||
| 195 | 1108 | default: SETERRQ(PetscObjectComm((PetscObject)eps),PETSC_ERR_PLIB,"Unexpected error"); | |
| 196 | } | ||
| 197 |
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1108 | PetscFunctionReturn(PETSC_SUCCESS); |
| 198 | } | ||
| 199 | |||
| 200 | 5072 | static PetscErrorCode EPSSetUpSort_KrylovSchur(EPS eps) | |
| 201 | { | ||
| 202 | 5072 | EPS_KRYLOVSCHUR *ctx = (EPS_KRYLOVSCHUR*)eps->data; | |
| 203 | 5072 | SlepcSC sc; | |
| 204 | 5072 | PetscBool isfilt; | |
| 205 | |||
| 206 |
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5072 | PetscFunctionBegin; |
| 207 |
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5072 | PetscCall(EPSSetUpSort_Default(eps)); |
| 208 |
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5072 | if (eps->which==EPS_ALL) { |
| 209 |
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450 | PetscCall(PetscObjectTypeCompare((PetscObject)eps->st,STFILTER,&isfilt)); |
| 210 |
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450 | if (isfilt) { |
| 211 |
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140 | PetscCall(DSGetSlepcSC(eps->ds,&sc)); |
| 212 | 140 | sc->rg = NULL; | |
| 213 | 140 | sc->comparison = SlepcCompareLargestReal; | |
| 214 | 140 | sc->comparisonctx = NULL; | |
| 215 | 140 | sc->map = NULL; | |
| 216 | 140 | sc->mapobj = NULL; | |
| 217 | } else { | ||
| 218 |
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310 | if (!ctx->global && ctx->sr->numEigs>0) { |
| 219 |
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155 | PetscCall(DSGetSlepcSC(eps->ds,&sc)); |
| 220 | 155 | sc->rg = NULL; | |
| 221 | 155 | sc->comparison = SlepcCompareLargestMagnitude; | |
| 222 | 155 | sc->comparisonctx = NULL; | |
| 223 | 155 | sc->map = NULL; | |
| 224 | 155 | sc->mapobj = NULL; | |
| 225 | } | ||
| 226 | } | ||
| 227 | } | ||
| 228 |
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1192 | PetscFunctionReturn(PETSC_SUCCESS); |
| 229 | } | ||
| 230 | |||
| 231 | 4121 | PetscErrorCode EPSSolve_KrylovSchur_Default(EPS eps) | |
| 232 | { | ||
| 233 | 4121 | EPS_KRYLOVSCHUR *ctx = (EPS_KRYLOVSCHUR*)eps->data; | |
| 234 | 4121 | PetscInt i,j,*pj,k,l,nv,ld,nconv; | |
| 235 | 4121 | Mat U,Op,H,T; | |
| 236 | 4121 | PetscScalar *g; | |
| 237 | 4121 | PetscReal beta,gamma=1.0; | |
| 238 | 4121 | PetscBool breakdown,harmonic,hermitian; | |
| 239 | |||
| 240 |
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4121 | PetscFunctionBegin; |
| 241 |
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4121 | PetscCall(DSGetLeadingDimension(eps->ds,&ld)); |
| 242 | 4121 | harmonic = (eps->extraction==EPS_HARMONIC || eps->extraction==EPS_REFINED_HARMONIC)?PETSC_TRUE:PETSC_FALSE; | |
| 243 |
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4121 | hermitian = (eps->ishermitian && !harmonic)?PETSC_TRUE:PETSC_FALSE; |
| 244 |
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2536 | if (harmonic) PetscCall(PetscMalloc1(ld,&g)); |
| 245 |
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4121 | if (eps->arbitrary) pj = &j; |
| 246 | 4103 | else pj = NULL; | |
| 247 | |||
| 248 | /* Get the starting Arnoldi vector */ | ||
| 249 |
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4121 | PetscCall(EPSGetStartVector(eps,0,NULL)); |
| 250 | 4121 | l = 0; | |
| 251 | |||
| 252 | /* Restart loop */ | ||
| 253 | 4121 | while (eps->reason == EPS_CONVERGED_ITERATING) { | |
| 254 | 25644 | eps->its++; | |
| 255 | |||
| 256 | /* Compute an nv-step Arnoldi factorization */ | ||
| 257 | 25644 | nv = PetscMin(eps->nconv+eps->mpd,eps->ncv); | |
| 258 |
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25644 | PetscCall(DSSetDimensions(eps->ds,nv,eps->nconv,eps->nconv+l)); |
| 259 |
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25644 | PetscCall(STGetOperator(eps->st,&Op)); |
| 260 |
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25644 | if (hermitian) { |
| 261 |
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15655 | PetscCall(DSGetMat(eps->ds,DS_MAT_T,&T)); |
| 262 |
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15655 | PetscCall(BVMatLanczos(eps->V,Op,T,eps->nconv+l,&nv,&beta,&breakdown)); |
| 263 |
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15655 | PetscCall(DSRestoreMat(eps->ds,DS_MAT_T,&T)); |
| 264 | } else { | ||
| 265 |
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9989 | PetscCall(DSGetMat(eps->ds,DS_MAT_A,&H)); |
| 266 |
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9989 | PetscCall(BVMatArnoldi(eps->V,Op,H,eps->nconv+l,&nv,&beta,&breakdown)); |
| 267 |
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9989 | PetscCall(DSRestoreMat(eps->ds,DS_MAT_A,&H)); |
| 268 | } | ||
| 269 |
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25644 | PetscCall(STRestoreOperator(eps->st,&Op)); |
| 270 |
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25644 | PetscCall(DSSetDimensions(eps->ds,nv,eps->nconv,eps->nconv+l)); |
| 271 |
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25644 | PetscCall(DSSetState(eps->ds,l?DS_STATE_RAW:DS_STATE_INTERMEDIATE)); |
| 272 |
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25644 | PetscCall(BVSetActiveColumns(eps->V,eps->nconv,nv)); |
| 273 | |||
| 274 | /* Compute translation of Krylov decomposition if harmonic extraction used */ | ||
| 275 |
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25644 | if (PetscUnlikely(harmonic)) PetscCall(DSTranslateHarmonic(eps->ds,eps->target,beta,PETSC_FALSE,g,&gamma)); |
| 276 | |||
| 277 | /* Solve projected problem */ | ||
| 278 |
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25644 | PetscCall(DSSolve(eps->ds,eps->eigr,eps->eigi)); |
| 279 |
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25644 | if (PetscUnlikely(eps->arbitrary)) { |
| 280 |
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179 | PetscCall(EPSGetArbitraryValues(eps,eps->rr,eps->ri)); |
| 281 | 179 | j=1; | |
| 282 | } | ||
| 283 |
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25644 | PetscCall(DSSort(eps->ds,eps->eigr,eps->eigi,eps->rr,eps->ri,pj)); |
| 284 |
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25644 | PetscCall(DSUpdateExtraRow(eps->ds)); |
| 285 |
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25644 | PetscCall(DSSynchronize(eps->ds,eps->eigr,eps->eigi)); |
| 286 | |||
| 287 | /* Check convergence */ | ||
| 288 |
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25644 | PetscCall(EPSKrylovConvergence(eps,PETSC_FALSE,eps->nconv,nv-eps->nconv,beta,0.0,gamma,&k)); |
| 289 |
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25644 | EPSSetCtxThreshold(eps,eps->eigr,eps->eigi,k); |
| 290 |
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25644 | PetscCall((*eps->stopping)(eps,eps->its,eps->max_it,k,eps->nev,&eps->reason,eps->stoppingctx)); |
| 291 | 25644 | nconv = k; | |
| 292 | |||
| 293 | /* Update l */ | ||
| 294 |
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25644 | if (eps->reason != EPS_CONVERGED_ITERATING || breakdown || k==nv) l = 0; |
| 295 | else { | ||
| 296 | 21523 | l = PetscMax(1,(PetscInt)((nv-k)*ctx->keep)); | |
| 297 |
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21523 | if (!hermitian) PetscCall(DSGetTruncateSize(eps->ds,k,nv,&l)); |
| 298 | } | ||
| 299 |
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25644 | if (!ctx->lock && l>0) { l += k; k = 0; } /* non-locking variant: reset no. of converged pairs */ |
| 300 |
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25644 | if (l) PetscCall(PetscInfo(eps,"Preparing to restart keeping l=%" PetscInt_FMT " vectors\n",l)); |
| 301 | |||
| 302 |
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25644 | if (eps->reason == EPS_CONVERGED_ITERATING) { |
| 303 |
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21523 | if (PetscUnlikely(breakdown || k==nv)) { |
| 304 | /* Start a new Arnoldi factorization */ | ||
| 305 | ✗ | PetscCall(PetscInfo(eps,"Breakdown in Krylov-Schur method (it=%" PetscInt_FMT " norm=%g)\n",eps->its,(double)beta)); | |
| 306 | ✗ | if (k<eps->nev) { | |
| 307 | ✗ | PetscCall(EPSGetStartVector(eps,k,&breakdown)); | |
| 308 | ✗ | if (breakdown) { | |
| 309 | ✗ | eps->reason = EPS_DIVERGED_BREAKDOWN; | |
| 310 | ✗ | PetscCall(PetscInfo(eps,"Unable to generate more start vectors\n")); | |
| 311 | } | ||
| 312 | } | ||
| 313 | } else { | ||
| 314 | /* Undo translation of Krylov decomposition */ | ||
| 315 |
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21523 | if (PetscUnlikely(harmonic)) { |
| 316 |
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213 | PetscCall(DSSetDimensions(eps->ds,nv,k,l)); |
| 317 |
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213 | PetscCall(DSTranslateHarmonic(eps->ds,0.0,beta,PETSC_TRUE,g,&gamma)); |
| 318 | /* gamma u^ = u - U*g~ */ | ||
| 319 |
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213 | PetscCall(BVSetActiveColumns(eps->V,0,nv)); |
| 320 |
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213 | PetscCall(BVMultColumn(eps->V,-1.0,1.0,nv,g)); |
| 321 |
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213 | PetscCall(BVScaleColumn(eps->V,nv,1.0/gamma)); |
| 322 |
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213 | PetscCall(BVSetActiveColumns(eps->V,eps->nconv,nv)); |
| 323 |
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213 | PetscCall(DSSetDimensions(eps->ds,nv,k,nv)); |
| 324 | } | ||
| 325 | /* Prepare the Rayleigh quotient for restart */ | ||
| 326 |
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21523 | PetscCall(DSTruncate(eps->ds,k+l,PETSC_FALSE)); |
| 327 | } | ||
| 328 | } | ||
| 329 | /* Update the corresponding vectors V(:,idx) = V*Q(:,idx) */ | ||
| 330 |
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25644 | PetscCall(DSGetMat(eps->ds,DS_MAT_Q,&U)); |
| 331 |
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25644 | PetscCall(BVMultInPlace(eps->V,U,eps->nconv,k+l)); |
| 332 |
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25644 | PetscCall(DSRestoreMat(eps->ds,DS_MAT_Q,&U)); |
| 333 | |||
| 334 |
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25644 | if (eps->reason == EPS_CONVERGED_ITERATING && !breakdown) { |
| 335 |
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21523 | PetscCall(BVCopyColumn(eps->V,nv,k+l)); /* copy restart vector from the last column */ |
| 336 |
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21523 | if (eps->stop==EPS_STOP_THRESHOLD && nv-k<5) { /* reallocate */ |
| 337 | 23 | eps->ncv = eps->mpd+k; | |
| 338 |
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23 | PetscCall(EPSReallocateSolution(eps,eps->ncv+1)); |
| 339 |
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182 | for (i=nv;i<eps->ncv;i++) eps->perm[i] = i; |
| 340 |
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23 | PetscCall(DSReallocate(eps->ds,eps->ncv+1)); |
| 341 |
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23 | PetscCall(DSGetLeadingDimension(eps->ds,&ld)); |
| 342 | } | ||
| 343 | } | ||
| 344 | |||
| 345 | 25644 | eps->nconv = k; | |
| 346 |
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29765 | PetscCall(EPSMonitor(eps,eps->its,nconv,eps->eigr,eps->eigi,eps->errest,nv)); |
| 347 | } | ||
| 348 | |||
| 349 |
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4121 | if (harmonic) PetscCall(PetscFree(g)); |
| 350 |
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4121 | PetscCall(DSTruncate(eps->ds,eps->nconv,PETSC_TRUE)); |
| 351 |
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980 | PetscFunctionReturn(PETSC_SUCCESS); |
| 352 | } | ||
| 353 | |||
| 354 | 66 | static PetscErrorCode EPSKrylovSchurSetRestart_KrylovSchur(EPS eps,PetscReal keep) | |
| 355 | { | ||
| 356 | 66 | EPS_KRYLOVSCHUR *ctx = (EPS_KRYLOVSCHUR*)eps->data; | |
| 357 | |||
| 358 |
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66 | PetscFunctionBegin; |
| 359 |
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66 | if (keep==(PetscReal)PETSC_DEFAULT || keep==(PetscReal)PETSC_DECIDE) ctx->keep = 0.5; |
| 360 | else { | ||
| 361 |
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66 | PetscCheck(keep>=0.1 && keep<=0.9,PetscObjectComm((PetscObject)eps),PETSC_ERR_ARG_OUTOFRANGE,"The keep argument %g must be in the range [0.1,0.9]",(double)keep); |
| 362 | 66 | ctx->keep = keep; | |
| 363 | } | ||
| 364 |
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13 | PetscFunctionReturn(PETSC_SUCCESS); |
| 365 | } | ||
| 366 | |||
| 367 | /*@ | ||
| 368 | EPSKrylovSchurSetRestart - Sets the restart parameter for the Krylov-Schur | ||
| 369 | method, in particular the proportion of basis vectors that must be kept | ||
| 370 | after restart. | ||
| 371 | |||
| 372 | Logically Collective | ||
| 373 | |||
| 374 | Input Parameters: | ||
| 375 | + eps - the linear eigensolver context | ||
| 376 | - keep - the number of vectors to be kept at restart | ||
| 377 | |||
| 378 | Options Database Key: | ||
| 379 | . -eps_krylovschur_restart \<keep\> - sets the restart parameter | ||
| 380 | |||
| 381 | Notes: | ||
| 382 | Allowed values are in the range [0.1,0.9]. The default is 0.5, which means | ||
| 383 | that at restart the current subspace is compressed into another subspace | ||
| 384 | with a reduction of 50% in size. | ||
| 385 | |||
| 386 | Implementation details of Krylov-Schur in SLEPc can be found in {cite:p}`Her07b`. | ||
| 387 | |||
| 388 | Level: advanced | ||
| 389 | |||
| 390 | .seealso: [](ch:eps), `EPSKRYLOVSCHUR`, `EPSKrylovSchurGetRestart()` | ||
| 391 | @*/ | ||
| 392 | 68 | PetscErrorCode EPSKrylovSchurSetRestart(EPS eps,PetscReal keep) | |
| 393 | { | ||
| 394 |
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68 | PetscFunctionBegin; |
| 395 |
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68 | PetscValidHeaderSpecific(eps,EPS_CLASSID,1); |
| 396 |
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68 | PetscValidLogicalCollectiveReal(eps,keep,2); |
| 397 |
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68 | PetscTryMethod(eps,"EPSKrylovSchurSetRestart_C",(EPS,PetscReal),(eps,keep)); |
| 398 |
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68 | PetscFunctionReturn(PETSC_SUCCESS); |
| 399 | } | ||
| 400 | |||
| 401 | 68 | static PetscErrorCode EPSKrylovSchurGetRestart_KrylovSchur(EPS eps,PetscReal *keep) | |
| 402 | { | ||
| 403 | 68 | EPS_KRYLOVSCHUR *ctx = (EPS_KRYLOVSCHUR*)eps->data; | |
| 404 | |||
| 405 |
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68 | PetscFunctionBegin; |
| 406 | 68 | *keep = ctx->keep; | |
| 407 |
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68 | PetscFunctionReturn(PETSC_SUCCESS); |
| 408 | } | ||
| 409 | |||
| 410 | /*@ | ||
| 411 | EPSKrylovSchurGetRestart - Gets the restart parameter used in the | ||
| 412 | Krylov-Schur method. | ||
| 413 | |||
| 414 | Not Collective | ||
| 415 | |||
| 416 | Input Parameter: | ||
| 417 | . eps - the linear eigensolver context | ||
| 418 | |||
| 419 | Output Parameter: | ||
| 420 | . keep - the restart parameter | ||
| 421 | |||
| 422 | Level: advanced | ||
| 423 | |||
| 424 | .seealso: [](ch:eps), `EPSKRYLOVSCHUR`, `EPSKrylovSchurSetRestart()` | ||
| 425 | @*/ | ||
| 426 | 68 | PetscErrorCode EPSKrylovSchurGetRestart(EPS eps,PetscReal *keep) | |
| 427 | { | ||
| 428 |
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68 | PetscFunctionBegin; |
| 429 |
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68 | PetscValidHeaderSpecific(eps,EPS_CLASSID,1); |
| 430 |
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68 | PetscAssertPointer(keep,2); |
| 431 |
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68 | PetscUseMethod(eps,"EPSKrylovSchurGetRestart_C",(EPS,PetscReal*),(eps,keep)); |
| 432 |
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68 | PetscFunctionReturn(PETSC_SUCCESS); |
| 433 | } | ||
| 434 | |||
| 435 | 333 | static PetscErrorCode EPSKrylovSchurSetLocking_KrylovSchur(EPS eps,PetscBool lock) | |
| 436 | { | ||
| 437 | 333 | EPS_KRYLOVSCHUR *ctx = (EPS_KRYLOVSCHUR*)eps->data; | |
| 438 | |||
| 439 |
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333 | PetscFunctionBegin; |
| 440 | 333 | ctx->lock = lock; | |
| 441 |
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333 | PetscFunctionReturn(PETSC_SUCCESS); |
| 442 | } | ||
| 443 | |||
| 444 | /*@ | ||
| 445 | EPSKrylovSchurSetLocking - Choose between locking and non-locking variants of | ||
| 446 | the Krylov-Schur method. | ||
| 447 | |||
| 448 | Logically Collective | ||
| 449 | |||
| 450 | Input Parameters: | ||
| 451 | + eps - the linear eigensolver context | ||
| 452 | - lock - true if the locking variant must be selected | ||
| 453 | |||
| 454 | Options Database Key: | ||
| 455 | . -eps_krylovschur_locking - sets the locking flag | ||
| 456 | |||
| 457 | Notes: | ||
| 458 | The default is to lock converged eigenpairs when the method restarts. | ||
| 459 | This behavior can be changed so that all directions are kept in the | ||
| 460 | working subspace even if already converged to working accuracy (the | ||
| 461 | non-locking variant). | ||
| 462 | |||
| 463 | Implementation details of Krylov-Schur in SLEPc can be found in {cite:p}`Her07b`. | ||
| 464 | |||
| 465 | Level: advanced | ||
| 466 | |||
| 467 | .seealso: [](ch:eps), `EPSKRYLOVSCHUR`, `EPSKrylovSchurGetLocking()` | ||
| 468 | @*/ | ||
| 469 | 333 | PetscErrorCode EPSKrylovSchurSetLocking(EPS eps,PetscBool lock) | |
| 470 | { | ||
| 471 |
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333 | PetscFunctionBegin; |
| 472 |
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333 | PetscValidHeaderSpecific(eps,EPS_CLASSID,1); |
| 473 |
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333 | PetscValidLogicalCollectiveBool(eps,lock,2); |
| 474 |
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333 | PetscTryMethod(eps,"EPSKrylovSchurSetLocking_C",(EPS,PetscBool),(eps,lock)); |
| 475 |
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333 | PetscFunctionReturn(PETSC_SUCCESS); |
| 476 | } | ||
| 477 | |||
| 478 | 68 | static PetscErrorCode EPSKrylovSchurGetLocking_KrylovSchur(EPS eps,PetscBool *lock) | |
| 479 | { | ||
| 480 | 68 | EPS_KRYLOVSCHUR *ctx = (EPS_KRYLOVSCHUR*)eps->data; | |
| 481 | |||
| 482 |
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68 | PetscFunctionBegin; |
| 483 | 68 | *lock = ctx->lock; | |
| 484 |
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68 | PetscFunctionReturn(PETSC_SUCCESS); |
| 485 | } | ||
| 486 | |||
| 487 | /*@ | ||
| 488 | EPSKrylovSchurGetLocking - Gets the locking flag used in the Krylov-Schur | ||
| 489 | method. | ||
| 490 | |||
| 491 | Not Collective | ||
| 492 | |||
| 493 | Input Parameter: | ||
| 494 | . eps - the linear eigensolver context | ||
| 495 | |||
| 496 | Output Parameter: | ||
| 497 | . lock - the locking flag | ||
| 498 | |||
| 499 | Level: advanced | ||
| 500 | |||
| 501 | .seealso: [](ch:eps), `EPSKRYLOVSCHUR`, `EPSKrylovSchurSetLocking()` | ||
| 502 | @*/ | ||
| 503 | 68 | PetscErrorCode EPSKrylovSchurGetLocking(EPS eps,PetscBool *lock) | |
| 504 | { | ||
| 505 |
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68 | PetscFunctionBegin; |
| 506 |
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68 | PetscValidHeaderSpecific(eps,EPS_CLASSID,1); |
| 507 |
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68 | PetscAssertPointer(lock,2); |
| 508 |
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68 | PetscUseMethod(eps,"EPSKrylovSchurGetLocking_C",(EPS,PetscBool*),(eps,lock)); |
| 509 |
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68 | PetscFunctionReturn(PETSC_SUCCESS); |
| 510 | } | ||
| 511 | |||
| 512 | 59 | static PetscErrorCode EPSKrylovSchurSetPartitions_KrylovSchur(EPS eps,PetscInt npart) | |
| 513 | { | ||
| 514 | 59 | EPS_KRYLOVSCHUR *ctx = (EPS_KRYLOVSCHUR*)eps->data; | |
| 515 | 59 | PetscMPIInt size; | |
| 516 | 59 | PetscInt newnpart; | |
| 517 | |||
| 518 |
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59 | PetscFunctionBegin; |
| 519 |
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59 | if (npart == PETSC_DEFAULT || npart == PETSC_DECIDE) { |
| 520 | newnpart = 1; | ||
| 521 | } else { | ||
| 522 |
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59 | PetscCallMPI(MPI_Comm_size(PetscObjectComm((PetscObject)eps),&size)); |
| 523 |
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59 | PetscCheck(npart>0 && npart<=size,PetscObjectComm((PetscObject)eps),PETSC_ERR_ARG_OUTOFRANGE,"Illegal value of npart"); |
| 524 | newnpart = npart; | ||
| 525 | } | ||
| 526 |
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59 | if (ctx->npart!=newnpart) { |
| 527 |
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59 | if (ctx->npart>1) { |
| 528 | ✗ | PetscCall(PetscSubcommDestroy(&ctx->subc)); | |
| 529 | ✗ | if (ctx->commset) { | |
| 530 | ✗ | PetscCallMPI(MPI_Comm_free(&ctx->commrank)); | |
| 531 | ✗ | ctx->commset = PETSC_FALSE; | |
| 532 | } | ||
| 533 | } | ||
| 534 |
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59 | PetscCall(EPSDestroy(&ctx->eps)); |
| 535 | 59 | ctx->npart = newnpart; | |
| 536 | 59 | eps->state = EPS_STATE_INITIAL; | |
| 537 | } | ||
| 538 |
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10 | PetscFunctionReturn(PETSC_SUCCESS); |
| 539 | } | ||
| 540 | |||
| 541 | /*@ | ||
| 542 | EPSKrylovSchurSetPartitions - Sets the number of partitions for the | ||
| 543 | case of doing spectrum slicing for a computational interval with the | ||
| 544 | communicator split in several sub-communicators. | ||
| 545 | |||
| 546 | Logically Collective | ||
| 547 | |||
| 548 | Input Parameters: | ||
| 549 | + eps - the linear eigensolver context | ||
| 550 | - npart - number of partitions | ||
| 551 | |||
| 552 | Options Database Key: | ||
| 553 | . -eps_krylovschur_partitions \<npart\> - sets the number of partitions | ||
| 554 | |||
| 555 | Notes: | ||
| 556 | This call makes sense only for spectrum slicing runs, that is, when | ||
| 557 | an interval has been given with `EPSSetInterval()` and `STSINVERT` is set. | ||
| 558 | See more details in section [](#sec:slice). | ||
| 559 | |||
| 560 | By default, `npart`=1 so all processes in the communicator participate in | ||
| 561 | the processing of the whole interval. If `npart`>1 then the interval is | ||
| 562 | divided into `npart` subintervals, each of them being processed by a | ||
| 563 | subset of processes. | ||
| 564 | |||
| 565 | The interval is split proportionally unless the separation points are | ||
| 566 | specified with `EPSKrylovSchurSetSubintervals()`. | ||
| 567 | |||
| 568 | Level: advanced | ||
| 569 | |||
| 570 | .seealso: [](ch:eps), [](#sec:slice), `EPSKRYLOVSCHUR`, `EPSKrylovSchurSetSubintervals()`, `EPSSetInterval()` | ||
| 571 | @*/ | ||
| 572 | 59 | PetscErrorCode EPSKrylovSchurSetPartitions(EPS eps,PetscInt npart) | |
| 573 | { | ||
| 574 |
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59 | PetscFunctionBegin; |
| 575 |
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59 | PetscValidHeaderSpecific(eps,EPS_CLASSID,1); |
| 576 |
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59 | PetscValidLogicalCollectiveInt(eps,npart,2); |
| 577 |
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59 | PetscTryMethod(eps,"EPSKrylovSchurSetPartitions_C",(EPS,PetscInt),(eps,npart)); |
| 578 |
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59 | PetscFunctionReturn(PETSC_SUCCESS); |
| 579 | } | ||
| 580 | |||
| 581 | 36 | static PetscErrorCode EPSKrylovSchurGetPartitions_KrylovSchur(EPS eps,PetscInt *npart) | |
| 582 | { | ||
| 583 | 36 | EPS_KRYLOVSCHUR *ctx = (EPS_KRYLOVSCHUR*)eps->data; | |
| 584 | |||
| 585 |
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36 | PetscFunctionBegin; |
| 586 | 36 | *npart = ctx->npart; | |
| 587 |
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36 | PetscFunctionReturn(PETSC_SUCCESS); |
| 588 | } | ||
| 589 | |||
| 590 | /*@ | ||
| 591 | EPSKrylovSchurGetPartitions - Gets the number of partitions of the | ||
| 592 | communicator in case of spectrum slicing. | ||
| 593 | |||
| 594 | Not Collective | ||
| 595 | |||
| 596 | Input Parameter: | ||
| 597 | . eps - the linear eigensolver context | ||
| 598 | |||
| 599 | Output Parameter: | ||
| 600 | . npart - number of partitions | ||
| 601 | |||
| 602 | Level: advanced | ||
| 603 | |||
| 604 | .seealso: [](ch:eps), `EPSKRYLOVSCHUR`, `EPSKrylovSchurSetPartitions()` | ||
| 605 | @*/ | ||
| 606 | 36 | PetscErrorCode EPSKrylovSchurGetPartitions(EPS eps,PetscInt *npart) | |
| 607 | { | ||
| 608 |
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36 | PetscFunctionBegin; |
| 609 |
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36 | PetscValidHeaderSpecific(eps,EPS_CLASSID,1); |
| 610 |
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36 | PetscAssertPointer(npart,2); |
| 611 |
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36 | PetscUseMethod(eps,"EPSKrylovSchurGetPartitions_C",(EPS,PetscInt*),(eps,npart)); |
| 612 |
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36 | PetscFunctionReturn(PETSC_SUCCESS); |
| 613 | } | ||
| 614 | |||
| 615 | 25 | static PetscErrorCode EPSKrylovSchurSetDetectZeros_KrylovSchur(EPS eps,PetscBool detect) | |
| 616 | { | ||
| 617 | 25 | EPS_KRYLOVSCHUR *ctx = (EPS_KRYLOVSCHUR*)eps->data; | |
| 618 | |||
| 619 |
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25 | PetscFunctionBegin; |
| 620 | 25 | ctx->detect = detect; | |
| 621 | 25 | eps->state = EPS_STATE_INITIAL; | |
| 622 |
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25 | PetscFunctionReturn(PETSC_SUCCESS); |
| 623 | } | ||
| 624 | |||
| 625 | /*@ | ||
| 626 | EPSKrylovSchurSetDetectZeros - Sets a flag to enforce detection of | ||
| 627 | zeros during the factorizations throughout the spectrum slicing computation. | ||
| 628 | |||
| 629 | Logically Collective | ||
| 630 | |||
| 631 | Input Parameters: | ||
| 632 | + eps - the linear eigensolver context | ||
| 633 | - detect - check for zeros | ||
| 634 | |||
| 635 | Options Database Key: | ||
| 636 | . -eps_krylovschur_detect_zeros - check for zeros | ||
| 637 | |||
| 638 | Notes: | ||
| 639 | This flag makes sense only for spectrum slicing runs, that is, when | ||
| 640 | an interval has been given with `EPSSetInterval()` and `STSINVERT` is set. | ||
| 641 | See more details in section [](#sec:slice). | ||
| 642 | |||
| 643 | A zero in the factorization indicates that a shift coincides with an eigenvalue. | ||
| 644 | |||
| 645 | This flag is turned off by default, and may be necessary in some cases, | ||
| 646 | especially when several partitions are being used. This feature currently | ||
| 647 | requires an external package for factorizations with support for zero | ||
| 648 | detection, e.g. MUMPS. | ||
| 649 | |||
| 650 | Level: advanced | ||
| 651 | |||
| 652 | .seealso: [](ch:eps), [](#sec:slice), `EPSKRYLOVSCHUR`, `EPSKrylovSchurSetPartitions()`, `EPSSetInterval()` | ||
| 653 | @*/ | ||
| 654 | 25 | PetscErrorCode EPSKrylovSchurSetDetectZeros(EPS eps,PetscBool detect) | |
| 655 | { | ||
| 656 |
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25 | PetscFunctionBegin; |
| 657 |
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25 | PetscValidHeaderSpecific(eps,EPS_CLASSID,1); |
| 658 |
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25 | PetscValidLogicalCollectiveBool(eps,detect,2); |
| 659 |
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25 | PetscTryMethod(eps,"EPSKrylovSchurSetDetectZeros_C",(EPS,PetscBool),(eps,detect)); |
| 660 |
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25 | PetscFunctionReturn(PETSC_SUCCESS); |
| 661 | } | ||
| 662 | |||
| 663 | 48 | static PetscErrorCode EPSKrylovSchurGetDetectZeros_KrylovSchur(EPS eps,PetscBool *detect) | |
| 664 | { | ||
| 665 | 48 | EPS_KRYLOVSCHUR *ctx = (EPS_KRYLOVSCHUR*)eps->data; | |
| 666 | |||
| 667 |
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48 | PetscFunctionBegin; |
| 668 | 48 | *detect = ctx->detect; | |
| 669 |
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48 | PetscFunctionReturn(PETSC_SUCCESS); |
| 670 | } | ||
| 671 | |||
| 672 | /*@ | ||
| 673 | EPSKrylovSchurGetDetectZeros - Gets the flag that enforces zero detection | ||
| 674 | in spectrum slicing. | ||
| 675 | |||
| 676 | Not Collective | ||
| 677 | |||
| 678 | Input Parameter: | ||
| 679 | . eps - the linear eigensolver context | ||
| 680 | |||
| 681 | Output Parameter: | ||
| 682 | . detect - whether zeros detection is enforced during factorizations | ||
| 683 | |||
| 684 | Level: advanced | ||
| 685 | |||
| 686 | .seealso: [](ch:eps), `EPSKRYLOVSCHUR`, `EPSKrylovSchurSetDetectZeros()` | ||
| 687 | @*/ | ||
| 688 | 48 | PetscErrorCode EPSKrylovSchurGetDetectZeros(EPS eps,PetscBool *detect) | |
| 689 | { | ||
| 690 |
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48 | PetscFunctionBegin; |
| 691 |
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48 | PetscValidHeaderSpecific(eps,EPS_CLASSID,1); |
| 692 |
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48 | PetscAssertPointer(detect,2); |
| 693 |
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48 | PetscUseMethod(eps,"EPSKrylovSchurGetDetectZeros_C",(EPS,PetscBool*),(eps,detect)); |
| 694 |
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48 | PetscFunctionReturn(PETSC_SUCCESS); |
| 695 | } | ||
| 696 | |||
| 697 | 34 | static PetscErrorCode EPSKrylovSchurSetDimensions_KrylovSchur(EPS eps,PetscInt nev,PetscInt ncv,PetscInt mpd) | |
| 698 | { | ||
| 699 | 34 | EPS_KRYLOVSCHUR *ctx = (EPS_KRYLOVSCHUR*)eps->data; | |
| 700 | |||
| 701 |
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34 | PetscFunctionBegin; |
| 702 |
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34 | if (nev != PETSC_CURRENT) { |
| 703 |
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34 | PetscCheck(nev>0,PetscObjectComm((PetscObject)eps),PETSC_ERR_ARG_OUTOFRANGE,"Illegal value of nev. Must be > 0"); |
| 704 | 34 | ctx->nev = nev; | |
| 705 | } | ||
| 706 |
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34 | if (ncv == PETSC_DETERMINE) { |
| 707 | ✗ | ctx->ncv = PETSC_DETERMINE; | |
| 708 |
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34 | } else if (ncv != PETSC_CURRENT) { |
| 709 |
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34 | PetscCheck(ncv>0,PetscObjectComm((PetscObject)eps),PETSC_ERR_ARG_OUTOFRANGE,"Illegal value of ncv. Must be > 0"); |
| 710 | 34 | ctx->ncv = ncv; | |
| 711 | } | ||
| 712 |
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34 | if (mpd == PETSC_DETERMINE) { |
| 713 | ✗ | ctx->mpd = PETSC_DETERMINE; | |
| 714 |
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34 | } else if (mpd != PETSC_CURRENT) { |
| 715 |
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34 | PetscCheck(mpd>0,PetscObjectComm((PetscObject)eps),PETSC_ERR_ARG_OUTOFRANGE,"Illegal value of mpd. Must be > 0"); |
| 716 | 34 | ctx->mpd = mpd; | |
| 717 | } | ||
| 718 | 34 | eps->state = EPS_STATE_INITIAL; | |
| 719 |
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|
34 | PetscFunctionReturn(PETSC_SUCCESS); |
| 720 | } | ||
| 721 | |||
| 722 | /*@ | ||
| 723 | EPSKrylovSchurSetDimensions - Sets the dimensions used for each subsolve | ||
| 724 | step in case of doing spectrum slicing for a computational interval. | ||
| 725 | |||
| 726 | Logically Collective | ||
| 727 | |||
| 728 | Input Parameters: | ||
| 729 | + eps - the linear eigensolver context | ||
| 730 | . nev - number of eigenvalues to compute | ||
| 731 | . ncv - the maximum dimension of the subspace to be used by the subsolve | ||
| 732 | - mpd - the maximum dimension allowed for the projected problem | ||
| 733 | |||
| 734 | Options Database Keys: | ||
| 735 | + -eps_krylovschur_nev \<nev\> - sets the number of eigenvalues | ||
| 736 | . -eps_krylovschur_ncv \<ncv\> - sets the dimension of the subspace | ||
| 737 | - -eps_krylovschur_mpd \<mpd\> - sets the maximum projected dimension | ||
| 738 | |||
| 739 | Notes: | ||
| 740 | These parameters are relevant only for spectrum slicing runs, that is, when | ||
| 741 | an interval has been given with `EPSSetInterval()` and `STSINVERT` is set. | ||
| 742 | See more details in section [](#sec:slice). | ||
| 743 | |||
| 744 | The meaning of the parameters is the same as in `EPSSetDimensions()`, but | ||
| 745 | the ones here apply to every subsolve done by the child `EPS` object. | ||
| 746 | |||
| 747 | Use `PETSC_DETERMINE` for `ncv` and `mpd` to assign a default value. For any | ||
| 748 | of the arguments, use `PETSC_CURRENT` to preserve the current value. | ||
| 749 | |||
| 750 | Level: advanced | ||
| 751 | |||
| 752 | .seealso: [](ch:eps), [](#sec:slice), `EPSKRYLOVSCHUR`, `EPSKrylovSchurGetDimensions()`, `EPSSetDimensions()`, `EPSSetInterval()` | ||
| 753 | @*/ | ||
| 754 | 34 | PetscErrorCode EPSKrylovSchurSetDimensions(EPS eps,PetscInt nev,PetscInt ncv,PetscInt mpd) | |
| 755 | { | ||
| 756 |
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34 | PetscFunctionBegin; |
| 757 |
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34 | PetscValidHeaderSpecific(eps,EPS_CLASSID,1); |
| 758 |
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|
34 | PetscValidLogicalCollectiveInt(eps,nev,2); |
| 759 |
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|
34 | PetscValidLogicalCollectiveInt(eps,ncv,3); |
| 760 |
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|
34 | PetscValidLogicalCollectiveInt(eps,mpd,4); |
| 761 |
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|
34 | PetscTryMethod(eps,"EPSKrylovSchurSetDimensions_C",(EPS,PetscInt,PetscInt,PetscInt),(eps,nev,ncv,mpd)); |
| 762 |
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|
34 | PetscFunctionReturn(PETSC_SUCCESS); |
| 763 | } | ||
| 764 | |||
| 765 | 68 | static PetscErrorCode EPSKrylovSchurGetDimensions_KrylovSchur(EPS eps,PetscInt *nev,PetscInt *ncv,PetscInt *mpd) | |
| 766 | { | ||
| 767 | 68 | EPS_KRYLOVSCHUR *ctx = (EPS_KRYLOVSCHUR*)eps->data; | |
| 768 | |||
| 769 |
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68 | PetscFunctionBegin; |
| 770 |
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68 | if (nev) *nev = ctx->nev; |
| 771 |
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68 | if (ncv) *ncv = ctx->ncv; |
| 772 |
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68 | if (mpd) *mpd = ctx->mpd; |
| 773 |
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|
68 | PetscFunctionReturn(PETSC_SUCCESS); |
| 774 | } | ||
| 775 | |||
| 776 | /*@ | ||
| 777 | EPSKrylovSchurGetDimensions - Gets the dimensions used for each subsolve | ||
| 778 | step in case of doing spectrum slicing for a computational interval. | ||
| 779 | |||
| 780 | Not Collective | ||
| 781 | |||
| 782 | Input Parameter: | ||
| 783 | . eps - the linear eigensolver context | ||
| 784 | |||
| 785 | Output Parameters: | ||
| 786 | + nev - number of eigenvalues to compute | ||
| 787 | . ncv - the maximum dimension of the subspace to be used by the subsolve | ||
| 788 | - mpd - the maximum dimension allowed for the projected problem | ||
| 789 | |||
| 790 | Level: advanced | ||
| 791 | |||
| 792 | .seealso: [](ch:eps), `EPSKRYLOVSCHUR`, `EPSKrylovSchurSetDimensions()` | ||
| 793 | @*/ | ||
| 794 | 68 | PetscErrorCode EPSKrylovSchurGetDimensions(EPS eps,PetscInt *nev,PetscInt *ncv,PetscInt *mpd) | |
| 795 | { | ||
| 796 |
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68 | PetscFunctionBegin; |
| 797 |
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68 | PetscValidHeaderSpecific(eps,EPS_CLASSID,1); |
| 798 |
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|
68 | PetscUseMethod(eps,"EPSKrylovSchurGetDimensions_C",(EPS,PetscInt*,PetscInt*,PetscInt*),(eps,nev,ncv,mpd)); |
| 799 |
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|
68 | PetscFunctionReturn(PETSC_SUCCESS); |
| 800 | } | ||
| 801 | |||
| 802 | 26 | static PetscErrorCode EPSKrylovSchurSetSubintervals_KrylovSchur(EPS eps,PetscReal* subint) | |
| 803 | { | ||
| 804 | 26 | EPS_KRYLOVSCHUR *ctx = (EPS_KRYLOVSCHUR*)eps->data; | |
| 805 | 26 | PetscInt i; | |
| 806 | |||
| 807 |
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26 | PetscFunctionBegin; |
| 808 |
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26 | PetscCheck(subint[0]==eps->inta && subint[ctx->npart]==eps->intb,PetscObjectComm((PetscObject)eps),PETSC_ERR_ARG_WRONG,"First and last values must match the endpoints of EPSSetInterval()"); |
| 809 |
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|
78 | for (i=0;i<ctx->npart;i++) PetscCheck(subint[i]<=subint[i+1],PetscObjectComm((PetscObject)eps),PETSC_ERR_ARG_WRONG,"Array must contain values in ascending order"); |
| 810 |
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26 | if (ctx->subintervals) PetscCall(PetscFree(ctx->subintervals)); |
| 811 |
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26 | PetscCall(PetscMalloc1(ctx->npart+1,&ctx->subintervals)); |
| 812 |
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|
104 | for (i=0;i<ctx->npart+1;i++) ctx->subintervals[i] = subint[i]; |
| 813 | 26 | ctx->subintset = PETSC_TRUE; | |
| 814 | 26 | eps->state = EPS_STATE_INITIAL; | |
| 815 |
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26 | PetscFunctionReturn(PETSC_SUCCESS); |
| 816 | } | ||
| 817 | |||
| 818 | /*@ | ||
| 819 | EPSKrylovSchurSetSubintervals - Sets the points that delimit the | ||
| 820 | subintervals to be used in spectrum slicing with several partitions. | ||
| 821 | |||
| 822 | Logically Collective | ||
| 823 | |||
| 824 | Input Parameters: | ||
| 825 | + eps - the linear eigensolver context | ||
| 826 | - subint - array of real values specifying subintervals | ||
| 827 | |||
| 828 | Notes: | ||
| 829 | This function is relevant only for spectrum slicing runs, that is, when | ||
| 830 | an interval has been given with `EPSSetInterval()` and `STSINVERT` is set. | ||
| 831 | See more details in section [](#sec:slice). | ||
| 832 | |||
| 833 | It must be called after `EPSKrylovSchurSetPartitions()`. For `npart` | ||
| 834 | partitions, the argument `subint` must contain `npart+1` real values sorted in | ||
| 835 | ascending order, `subint_0, subint_1, ..., subint_npart`, where the first | ||
| 836 | and last values must coincide with the interval endpoints set with | ||
| 837 | `EPSSetInterval()`. | ||
| 838 | |||
| 839 | The subintervals are then defined by two consecutive points `[subint_0,subint_1]`, | ||
| 840 | `[subint_1,subint_2]`, and so on. | ||
| 841 | |||
| 842 | Level: advanced | ||
| 843 | |||
| 844 | .seealso: [](ch:eps), [](#sec:slice), `EPSKRYLOVSCHUR`, `EPSKrylovSchurSetPartitions()`, `EPSKrylovSchurGetSubintervals()`, `EPSSetInterval()` | ||
| 845 | @*/ | ||
| 846 | 26 | PetscErrorCode EPSKrylovSchurSetSubintervals(EPS eps,PetscReal subint[]) | |
| 847 | { | ||
| 848 |
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26 | PetscFunctionBegin; |
| 849 |
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26 | PetscValidHeaderSpecific(eps,EPS_CLASSID,1); |
| 850 |
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26 | PetscAssertPointer(subint,2); |
| 851 |
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26 | PetscTryMethod(eps,"EPSKrylovSchurSetSubintervals_C",(EPS,PetscReal*),(eps,subint)); |
| 852 |
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26 | PetscFunctionReturn(PETSC_SUCCESS); |
| 853 | } | ||
| 854 | |||
| 855 | 26 | static PetscErrorCode EPSKrylovSchurGetSubintervals_KrylovSchur(EPS eps,PetscReal *subint[]) | |
| 856 | { | ||
| 857 | 26 | EPS_KRYLOVSCHUR *ctx = (EPS_KRYLOVSCHUR*)eps->data; | |
| 858 | 26 | PetscInt i; | |
| 859 | |||
| 860 |
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26 | PetscFunctionBegin; |
| 861 |
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|
26 | if (!ctx->subintset) { |
| 862 | ✗ | PetscCheck(eps->state,PetscObjectComm((PetscObject)eps),PETSC_ERR_ARG_WRONGSTATE,"Must call EPSSetUp() first"); | |
| 863 | ✗ | PetscCheck(ctx->sr,PetscObjectComm((PetscObject)eps),PETSC_ERR_ARG_WRONGSTATE,"Only available in interval computations, see EPSSetInterval()"); | |
| 864 | } | ||
| 865 |
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26 | PetscCall(PetscMalloc1(ctx->npart+1,subint)); |
| 866 |
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|
104 | for (i=0;i<=ctx->npart;i++) (*subint)[i] = ctx->subintervals[i]; |
| 867 |
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|
4 | PetscFunctionReturn(PETSC_SUCCESS); |
| 868 | } | ||
| 869 | |||
| 870 | /*@C | ||
| 871 | EPSKrylovSchurGetSubintervals - Returns the points that delimit the | ||
| 872 | subintervals used in spectrum slicing with several partitions. | ||
| 873 | |||
| 874 | Not Collective | ||
| 875 | |||
| 876 | Input Parameter: | ||
| 877 | . eps - the linear eigensolver context | ||
| 878 | |||
| 879 | Output Parameter: | ||
| 880 | . subint - array of real values specifying subintervals | ||
| 881 | |||
| 882 | Notes: | ||
| 883 | If the user passed values with `EPSKrylovSchurSetSubintervals()`, then the | ||
| 884 | same values are returned here. Otherwise, the values computed internally are | ||
| 885 | obtained. | ||
| 886 | |||
| 887 | This function is only available for spectrum slicing runs, that is, when | ||
| 888 | an interval has been given with `EPSSetInterval()` and `STSINVERT` is set. | ||
| 889 | See more details in section [](#sec:slice). | ||
| 890 | |||
| 891 | The returned array has length `npart`+1 (see `EPSKrylovSchurGetPartitions()`) | ||
| 892 | and should be freed by the user. | ||
| 893 | |||
| 894 | Fortran Notes: | ||
| 895 | The calling sequence from Fortran is | ||
| 896 | .vb | ||
| 897 | EPSKrylovSchurGetSubintervals(eps,subint,ierr) | ||
| 898 | PetscReal subint(npart+1) | ||
| 899 | .ve | ||
| 900 | |||
| 901 | Level: advanced | ||
| 902 | |||
| 903 | .seealso: [](ch:eps), [](#sec:slice), `EPSKRYLOVSCHUR`, `EPSKrylovSchurSetSubintervals()`, `EPSKrylovSchurGetPartitions()`, `EPSSetInterval()` | ||
| 904 | @*/ | ||
| 905 | 26 | PetscErrorCode EPSKrylovSchurGetSubintervals(EPS eps,PetscReal *subint[]) PeNS | |
| 906 | { | ||
| 907 |
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26 | PetscFunctionBegin; |
| 908 |
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26 | PetscValidHeaderSpecific(eps,EPS_CLASSID,1); |
| 909 |
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26 | PetscAssertPointer(subint,2); |
| 910 |
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|
26 | PetscUseMethod(eps,"EPSKrylovSchurGetSubintervals_C",(EPS,PetscReal**),(eps,subint)); |
| 911 |
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|
26 | PetscFunctionReturn(PETSC_SUCCESS); |
| 912 | } | ||
| 913 | |||
| 914 | 60 | static PetscErrorCode EPSKrylovSchurGetInertias_KrylovSchur(EPS eps,PetscInt *n,PetscReal *shifts[],PetscInt *inertias[]) | |
| 915 | { | ||
| 916 | 60 | EPS_KRYLOVSCHUR *ctx = (EPS_KRYLOVSCHUR*)eps->data; | |
| 917 | 60 | PetscInt i,numsh; | |
| 918 | 60 | EPS_SR sr = ctx->sr; | |
| 919 | |||
| 920 |
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60 | PetscFunctionBegin; |
| 921 |
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60 | PetscCheck(eps->state,PetscObjectComm((PetscObject)eps),PETSC_ERR_ARG_WRONGSTATE,"Must call EPSSetUp() first"); |
| 922 |
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60 | PetscCheck(ctx->sr,PetscObjectComm((PetscObject)eps),PETSC_ERR_ARG_WRONGSTATE,"Only available in interval computations, see EPSSetInterval()"); |
| 923 |
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60 | switch (eps->state) { |
| 924 | case EPS_STATE_INITIAL: | ||
| 925 | break; | ||
| 926 | 52 | case EPS_STATE_SETUP: | |
| 927 | 52 | numsh = ctx->npart+1; | |
| 928 |
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52 | if (n) *n = numsh; |
| 929 |
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52 | if (shifts) { |
| 930 |
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52 | PetscCall(PetscMalloc1(numsh,shifts)); |
| 931 | 52 | (*shifts)[0] = eps->inta; | |
| 932 |
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52 | if (ctx->npart==1) (*shifts)[1] = eps->intb; |
| 933 |
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|
108 | else for (i=1;i<numsh;i++) (*shifts)[i] = ctx->subintervals[i]; |
| 934 | } | ||
| 935 |
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52 | if (inertias) { |
| 936 |
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52 | PetscCall(PetscMalloc1(numsh,inertias)); |
| 937 |
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52 | (*inertias)[0] = (sr->dir==1)?sr->inertia0:sr->inertia1; |
| 938 |
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52 | if (ctx->npart==1) (*inertias)[1] = (sr->dir==1)?sr->inertia1:sr->inertia0; |
| 939 |
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|
108 | else for (i=1;i<numsh;i++) (*inertias)[i] = (*inertias)[i-1]+ctx->nconv_loc[i-1]; |
| 940 | } | ||
| 941 | break; | ||
| 942 | 8 | case EPS_STATE_SOLVED: | |
| 943 | case EPS_STATE_EIGENVECTORS: | ||
| 944 | 8 | numsh = ctx->nshifts; | |
| 945 |
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8 | if (n) *n = numsh; |
| 946 |
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8 | if (shifts) { |
| 947 |
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8 | PetscCall(PetscMalloc1(numsh,shifts)); |
| 948 |
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24 | for (i=0;i<numsh;i++) (*shifts)[i] = ctx->shifts[i]; |
| 949 | } | ||
| 950 |
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8 | if (inertias) { |
| 951 |
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8 | PetscCall(PetscMalloc1(numsh,inertias)); |
| 952 |
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24 | for (i=0;i<numsh;i++) (*inertias)[i] = ctx->inertias[i]; |
| 953 | } | ||
| 954 | break; | ||
| 955 | } | ||
| 956 |
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|
10 | PetscFunctionReturn(PETSC_SUCCESS); |
| 957 | } | ||
| 958 | |||
| 959 | /*@C | ||
| 960 | EPSKrylovSchurGetInertias - Gets the values of the shifts and their | ||
| 961 | corresponding inertias in case of doing spectrum slicing for a | ||
| 962 | computational interval. | ||
| 963 | |||
| 964 | Not Collective | ||
| 965 | |||
| 966 | Input Parameter: | ||
| 967 | . eps - the linear eigensolver context | ||
| 968 | |||
| 969 | Output Parameters: | ||
| 970 | + n - number of shifts, including the endpoints of the interval | ||
| 971 | . shifts - the values of the shifts used internally in the solver | ||
| 972 | - inertias - the values of the inertia at each shift | ||
| 973 | |||
| 974 | Notes: | ||
| 975 | If called after `EPSSolve()`, all shifts used internally by the solver are | ||
| 976 | returned (including both endpoints and any intermediate ones). If called | ||
| 977 | before `EPSSolve()` and after `EPSSetUp()` then only the information of the | ||
| 978 | endpoints of subintervals is available. | ||
| 979 | |||
| 980 | This function is only available for spectrum slicing runs, that is, when | ||
| 981 | an interval has been given with `EPSSetInterval()` and `STSINVERT` is set. | ||
| 982 | See more details in section [](#sec:slice). | ||
| 983 | |||
| 984 | The returned arrays should be freed by the user. Can pass `NULL` in any of | ||
| 985 | the two arrays if not required. | ||
| 986 | |||
| 987 | Fortran Notes: | ||
| 988 | The calling sequence from Fortran is | ||
| 989 | .vb | ||
| 990 | EPSKrylovSchurGetInertias(eps,n,shifts,inertias,ierr) | ||
| 991 | PetscInt n | ||
| 992 | PetscReal shifts(*) | ||
| 993 | PetscInt inertias(*) | ||
| 994 | .ve | ||
| 995 | The arrays should be at least of length `n`. The value of `n` can be determined | ||
| 996 | by an initial call | ||
| 997 | .vb | ||
| 998 | EPSKrylovSchurGetInertias(eps,n,PETSC_NULL_REAL_ARRAY,PETSC_NULL_INTEGER_ARRAY,ierr) | ||
| 999 | .ve | ||
| 1000 | |||
| 1001 | Level: advanced | ||
| 1002 | |||
| 1003 | .seealso: [](ch:eps), [](#sec:slice), `EPSKRYLOVSCHUR`, `EPSSetInterval()`, `EPSKrylovSchurSetSubintervals()` | ||
| 1004 | @*/ | ||
| 1005 | 60 | PetscErrorCode EPSKrylovSchurGetInertias(EPS eps,PetscInt *n,PetscReal *shifts[],PetscInt *inertias[]) PeNS | |
| 1006 | { | ||
| 1007 |
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60 | PetscFunctionBegin; |
| 1008 |
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60 | PetscValidHeaderSpecific(eps,EPS_CLASSID,1); |
| 1009 |
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60 | PetscAssertPointer(n,2); |
| 1010 |
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|
60 | PetscUseMethod(eps,"EPSKrylovSchurGetInertias_C",(EPS,PetscInt*,PetscReal**,PetscInt**),(eps,n,shifts,inertias)); |
| 1011 |
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|
60 | PetscFunctionReturn(PETSC_SUCCESS); |
| 1012 | } | ||
| 1013 | |||
| 1014 | 26 | static PetscErrorCode EPSKrylovSchurGetSubcommInfo_KrylovSchur(EPS eps,PetscInt *k,PetscInt *n,Vec *v) | |
| 1015 | { | ||
| 1016 | 26 | EPS_KRYLOVSCHUR *ctx = (EPS_KRYLOVSCHUR*)eps->data; | |
| 1017 | 26 | EPS_SR sr = ((EPS_KRYLOVSCHUR*)ctx->eps->data)->sr; | |
| 1018 | |||
| 1019 |
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26 | PetscFunctionBegin; |
| 1020 |
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26 | PetscCheck(eps->state,PetscObjectComm((PetscObject)eps),PETSC_ERR_ARG_WRONGSTATE,"Must call EPSSetUp() first"); |
| 1021 |
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26 | PetscCheck(ctx->sr,PetscObjectComm((PetscObject)eps),PETSC_ERR_ARG_WRONGSTATE,"Only available in interval computations, see EPSSetInterval()"); |
| 1022 |
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26 | if (k) *k = (ctx->npart==1)? 0: ctx->subc->color; |
| 1023 |
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26 | if (n) *n = sr->numEigs; |
| 1024 |
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26 | if (v) PetscCall(BVCreateVec(sr->V,v)); |
| 1025 |
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|
4 | PetscFunctionReturn(PETSC_SUCCESS); |
| 1026 | } | ||
| 1027 | |||
| 1028 | /*@ | ||
| 1029 | EPSKrylovSchurGetSubcommInfo - Gets information related to the case of | ||
| 1030 | doing spectrum slicing for a computational interval with multiple | ||
| 1031 | communicators. | ||
| 1032 | |||
| 1033 | Collective on the subcommunicator (if `v` is given) | ||
| 1034 | |||
| 1035 | Input Parameter: | ||
| 1036 | . eps - the linear eigensolver context | ||
| 1037 | |||
| 1038 | Output Parameters: | ||
| 1039 | + k - index of the subinterval for the calling process | ||
| 1040 | . n - number of eigenvalues found in the `k`-th subinterval | ||
| 1041 | - v - a vector owned by processes in the subcommunicator with dimensions | ||
| 1042 | compatible for locally computed eigenvectors (or `NULL`) | ||
| 1043 | |||
| 1044 | Notes: | ||
| 1045 | This function is only available for spectrum slicing runs, that is, when | ||
| 1046 | an interval has been given with `EPSSetInterval()` and `STSINVERT` is set. | ||
| 1047 | See more details in section [](#sec:slice). | ||
| 1048 | |||
| 1049 | The returned `Vec` should be destroyed by the user. | ||
| 1050 | |||
| 1051 | Level: advanced | ||
| 1052 | |||
| 1053 | .seealso: [](ch:eps), [](#sec:slice), `EPSKRYLOVSCHUR`, `EPSSetInterval()`, `EPSKrylovSchurSetPartitions()`, `EPSKrylovSchurGetSubcommPairs()` | ||
| 1054 | @*/ | ||
| 1055 | 26 | PetscErrorCode EPSKrylovSchurGetSubcommInfo(EPS eps,PetscInt *k,PetscInt *n,Vec *v) | |
| 1056 | { | ||
| 1057 |
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26 | PetscFunctionBegin; |
| 1058 |
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26 | PetscValidHeaderSpecific(eps,EPS_CLASSID,1); |
| 1059 |
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|
26 | PetscUseMethod(eps,"EPSKrylovSchurGetSubcommInfo_C",(EPS,PetscInt*,PetscInt*,Vec*),(eps,k,n,v)); |
| 1060 |
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|
26 | PetscFunctionReturn(PETSC_SUCCESS); |
| 1061 | } | ||
| 1062 | |||
| 1063 | 604 | static PetscErrorCode EPSKrylovSchurGetSubcommPairs_KrylovSchur(EPS eps,PetscInt i,PetscScalar *eig,Vec v) | |
| 1064 | { | ||
| 1065 | 604 | EPS_KRYLOVSCHUR *ctx = (EPS_KRYLOVSCHUR*)eps->data; | |
| 1066 | 604 | EPS_SR sr = ((EPS_KRYLOVSCHUR*)ctx->eps->data)->sr; | |
| 1067 | |||
| 1068 |
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604 | PetscFunctionBegin; |
| 1069 |
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604 | EPSCheckSolved(eps,1); |
| 1070 |
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604 | PetscCheck(ctx->sr,PetscObjectComm((PetscObject)eps),PETSC_ERR_ARG_WRONGSTATE,"Only available in interval computations, see EPSSetInterval()"); |
| 1071 |
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604 | PetscCheck(i>=0 && i<sr->numEigs,PetscObjectComm((PetscObject)eps),PETSC_ERR_ARG_OUTOFRANGE,"Argument 2 out of range"); |
| 1072 |
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604 | if (eig) *eig = sr->eigr[sr->perm[i]]; |
| 1073 |
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|
604 | if (v) PetscCall(BVCopyVec(sr->V,sr->perm[i],v)); |
| 1074 |
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|
116 | PetscFunctionReturn(PETSC_SUCCESS); |
| 1075 | } | ||
| 1076 | |||
| 1077 | /*@ | ||
| 1078 | EPSKrylovSchurGetSubcommPairs - Gets the `i`-th eigenpair stored | ||
| 1079 | internally in the subcommunicator to which the calling process belongs. | ||
| 1080 | |||
| 1081 | Collective on the subcommunicator (if `v` is given) | ||
| 1082 | |||
| 1083 | Input Parameters: | ||
| 1084 | + eps - the linear eigensolver context | ||
| 1085 | - i - index of the solution | ||
| 1086 | |||
| 1087 | Output Parameters: | ||
| 1088 | + eig - the eigenvalue | ||
| 1089 | - v - the eigenvector | ||
| 1090 | |||
| 1091 | Notes: | ||
| 1092 | This function is only available for spectrum slicing runs, that is, when | ||
| 1093 | an interval has been given with `EPSSetInterval()` and `STSINVERT` is set. | ||
| 1094 | And is relevant only when the number of partitions (`EPSKrylovSchurSetPartitions()`) | ||
| 1095 | is larger than one. See more details in section [](#sec:slice). | ||
| 1096 | |||
| 1097 | It is allowed to pass `NULL` for `v` if the eigenvector is not required. | ||
| 1098 | Otherwise, the caller must provide a valid `Vec` object, i.e., | ||
| 1099 | it must be created by the calling program with `EPSKrylovSchurGetSubcommInfo()`. | ||
| 1100 | |||
| 1101 | The index `i` should be a value between 0 and `n`-1, where `n` is the number of | ||
| 1102 | vectors in the local subinterval, see `EPSKrylovSchurGetSubcommInfo()`. | ||
| 1103 | |||
| 1104 | Level: advanced | ||
| 1105 | |||
| 1106 | .seealso: [](ch:eps), [](#sec:slice), `EPSKRYLOVSCHUR`, `EPSSetInterval()`, `EPSKrylovSchurSetPartitions()`, `EPSKrylovSchurGetSubcommInfo()`, `EPSKrylovSchurGetSubcommMats()` | ||
| 1107 | @*/ | ||
| 1108 | 604 | PetscErrorCode EPSKrylovSchurGetSubcommPairs(EPS eps,PetscInt i,PetscScalar *eig,Vec v) | |
| 1109 | { | ||
| 1110 |
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604 | PetscFunctionBegin; |
| 1111 |
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604 | PetscValidHeaderSpecific(eps,EPS_CLASSID,1); |
| 1112 |
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|
604 | if (v) PetscValidLogicalCollectiveInt(v,i,2); |
| 1113 |
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|
604 | PetscUseMethod(eps,"EPSKrylovSchurGetSubcommPairs_C",(EPS,PetscInt,PetscScalar*,Vec),(eps,i,eig,v)); |
| 1114 |
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|
604 | PetscFunctionReturn(PETSC_SUCCESS); |
| 1115 | } | ||
| 1116 | |||
| 1117 | 26 | static PetscErrorCode EPSKrylovSchurGetSubcommMats_KrylovSchur(EPS eps,Mat *A,Mat *B) | |
| 1118 | { | ||
| 1119 | 26 | EPS_KRYLOVSCHUR *ctx = (EPS_KRYLOVSCHUR*)eps->data; | |
| 1120 | |||
| 1121 |
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26 | PetscFunctionBegin; |
| 1122 |
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26 | PetscCheck(ctx->sr,PetscObjectComm((PetscObject)eps),PETSC_ERR_ARG_WRONGSTATE,"Only available in interval computations, see EPSSetInterval()"); |
| 1123 |
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26 | PetscCheck(eps->state,PetscObjectComm((PetscObject)eps),PETSC_ERR_ARG_WRONGSTATE,"Must call EPSSetUp() first"); |
| 1124 |
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26 | PetscCall(EPSGetOperators(ctx->eps,A,B)); |
| 1125 |
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|
4 | PetscFunctionReturn(PETSC_SUCCESS); |
| 1126 | } | ||
| 1127 | |||
| 1128 | /*@ | ||
| 1129 | EPSKrylovSchurGetSubcommMats - Gets the eigenproblem matrices stored | ||
| 1130 | internally in the subcommunicator to which the calling process belongs. | ||
| 1131 | |||
| 1132 | Collective on the subcommunicator | ||
| 1133 | |||
| 1134 | Input Parameter: | ||
| 1135 | . eps - the linear eigensolver context | ||
| 1136 | |||
| 1137 | Output Parameters: | ||
| 1138 | + A - the matrix associated with the eigensystem | ||
| 1139 | - B - the second matrix in the case of generalized eigenproblems | ||
| 1140 | |||
| 1141 | Notes: | ||
| 1142 | This function is only available for spectrum slicing runs, that is, when | ||
| 1143 | an interval has been given with `EPSSetInterval()` and `STSINVERT` is set. | ||
| 1144 | And is relevant only when the number of partitions (`EPSKrylovSchurSetPartitions()`) | ||
| 1145 | is larger than one. See more details in section [](#sec:slice). | ||
| 1146 | |||
| 1147 | This is the analog of `EPSGetOperators()`, but returns the matrices distributed | ||
| 1148 | differently (in the subcommunicator rather than in the parent communicator). | ||
| 1149 | |||
| 1150 | These matrices should not be modified by the user. | ||
| 1151 | |||
| 1152 | Level: advanced | ||
| 1153 | |||
| 1154 | .seealso: [](ch:eps), [](#sec:slice), `EPSKRYLOVSCHUR`, `EPSSetInterval()`, `EPSKrylovSchurSetPartitions()`, `EPSKrylovSchurGetSubcommInfo()` | ||
| 1155 | @*/ | ||
| 1156 | 26 | PetscErrorCode EPSKrylovSchurGetSubcommMats(EPS eps,Mat *A,Mat *B) | |
| 1157 | { | ||
| 1158 |
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26 | PetscFunctionBegin; |
| 1159 |
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26 | PetscValidHeaderSpecific(eps,EPS_CLASSID,1); |
| 1160 |
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|
26 | PetscTryMethod(eps,"EPSKrylovSchurGetSubcommMats_C",(EPS,Mat*,Mat*),(eps,A,B)); |
| 1161 |
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|
26 | PetscFunctionReturn(PETSC_SUCCESS); |
| 1162 | } | ||
| 1163 | |||
| 1164 | 26 | static PetscErrorCode EPSKrylovSchurUpdateSubcommMats_KrylovSchur(EPS eps,PetscScalar a,PetscScalar ap,Mat Au,PetscScalar b,PetscScalar bp, Mat Bu,MatStructure str,PetscBool globalup) | |
| 1165 | { | ||
| 1166 | 26 | EPS_KRYLOVSCHUR *ctx = (EPS_KRYLOVSCHUR*)eps->data,*subctx; | |
| 1167 | 26 | Mat A,B=NULL,Ag,Bg=NULL; | |
| 1168 | 26 | PetscBool reuse=PETSC_TRUE; | |
| 1169 | |||
| 1170 |
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26 | PetscFunctionBegin; |
| 1171 |
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26 | PetscCheck(ctx->sr,PetscObjectComm((PetscObject)eps),PETSC_ERR_ARG_WRONGSTATE,"Only available in interval computations, see EPSSetInterval()"); |
| 1172 |
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26 | PetscCheck(eps->state,PetscObjectComm((PetscObject)eps),PETSC_ERR_ARG_WRONGSTATE,"Must call EPSSetUp() first"); |
| 1173 |
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26 | PetscCall(EPSGetOperators(eps,&Ag,&Bg)); |
| 1174 |
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26 | PetscCall(EPSGetOperators(ctx->eps,&A,&B)); |
| 1175 | |||
| 1176 |
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|
26 | PetscCall(MatScale(A,a)); |
| 1177 |
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|
26 | if (Au) PetscCall(MatAXPY(A,ap,Au,str)); |
| 1178 |
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|
26 | if (B) PetscCall(MatScale(B,b)); |
| 1179 |
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|
26 | if (Bu) PetscCall(MatAXPY(B,bp,Bu,str)); |
| 1180 |
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|
26 | PetscCall(EPSSetOperators(ctx->eps,A,B)); |
| 1181 | |||
| 1182 | /* Update stored matrix state */ | ||
| 1183 | 26 | subctx = (EPS_KRYLOVSCHUR*)ctx->eps->data; | |
| 1184 |
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26 | PetscCall(MatGetState(A,&subctx->Astate)); |
| 1185 |
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|
26 | if (B) PetscCall(MatGetState(B,&subctx->Bstate)); |
| 1186 | |||
| 1187 | /* Update matrices in the parent communicator if requested by user */ | ||
| 1188 |
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26 | if (globalup) { |
| 1189 |
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26 | if (ctx->npart>1) { |
| 1190 |
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26 | if (!ctx->isrow) { |
| 1191 |
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26 | PetscCall(MatGetOwnershipIS(Ag,&ctx->isrow,&ctx->iscol)); |
| 1192 | reuse = PETSC_FALSE; | ||
| 1193 | } | ||
| 1194 |
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26 | if (str==DIFFERENT_NONZERO_PATTERN || str==UNKNOWN_NONZERO_PATTERN) reuse = PETSC_FALSE; |
| 1195 |
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26 | if (ctx->submata && !reuse) PetscCall(MatDestroyMatrices(1,&ctx->submata)); |
| 1196 |
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|
26 | PetscCall(MatCreateSubMatrices(A,1,&ctx->isrow,&ctx->iscol,(reuse)?MAT_REUSE_MATRIX:MAT_INITIAL_MATRIX,&ctx->submata)); |
| 1197 |
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|
26 | PetscCall(MatCreateMPIMatConcatenateSeqMat(((PetscObject)Ag)->comm,ctx->submata[0],PETSC_DECIDE,MAT_REUSE_MATRIX,&Ag)); |
| 1198 |
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26 | if (B) { |
| 1199 |
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26 | if (ctx->submatb && !reuse) PetscCall(MatDestroyMatrices(1,&ctx->submatb)); |
| 1200 |
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26 | PetscCall(MatCreateSubMatrices(B,1,&ctx->isrow,&ctx->iscol,(reuse)?MAT_REUSE_MATRIX:MAT_INITIAL_MATRIX,&ctx->submatb)); |
| 1201 |
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26 | PetscCall(MatCreateMPIMatConcatenateSeqMat(((PetscObject)Bg)->comm,ctx->submatb[0],PETSC_DECIDE,MAT_REUSE_MATRIX,&Bg)); |
| 1202 | } | ||
| 1203 | } | ||
| 1204 |
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26 | PetscCall(MatGetState(Ag,&ctx->Astate)); |
| 1205 |
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26 | if (Bg) PetscCall(MatGetState(Bg,&ctx->Bstate)); |
| 1206 | } | ||
| 1207 |
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26 | PetscCall(EPSSetOperators(eps,Ag,Bg)); |
| 1208 |
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4 | PetscFunctionReturn(PETSC_SUCCESS); |
| 1209 | } | ||
| 1210 | |||
| 1211 | /*@ | ||
| 1212 | EPSKrylovSchurUpdateSubcommMats - Update the eigenproblem matrices stored | ||
| 1213 | internally in the subcommunicator to which the calling process belongs. | ||
| 1214 | |||
| 1215 | Collective | ||
| 1216 | |||
| 1217 | Input Parameters: | ||
| 1218 | + eps - the linear eigensolver context | ||
| 1219 | . s - scalar that multiplies the existing $A$ matrix | ||
| 1220 | . a - scalar used in the _axpy_ operation on $A$ | ||
| 1221 | . Au - matrix used in the _axpy_ operation on $A$ | ||
| 1222 | . t - scalar that multiplies the existing $B$ matrix | ||
| 1223 | . b - scalar used in the _axpy_ operation on $B$ | ||
| 1224 | . Bu - matrix used in the _axpy_ operation on $B$ | ||
| 1225 | . str - structure flag, see `MatStructure` | ||
| 1226 | - globalup - flag indicating if global matrices must be updated | ||
| 1227 | |||
| 1228 | Notes: | ||
| 1229 | This function is only available for spectrum slicing runs, that is, when | ||
| 1230 | an interval has been given with `EPSSetInterval()` and `STSINVERT` is set. | ||
| 1231 | And is relevant only when the number of partitions (`EPSKrylovSchurSetPartitions()`) | ||
| 1232 | is larger than one. See more details in section [](#sec:slice). | ||
| 1233 | |||
| 1234 | This function modifies the eigenproblem matrices at the subcommunicator level, | ||
| 1235 | and optionally updates the global matrices in the parent communicator. The updates | ||
| 1236 | are expressed as $A \leftarrow s A + a A_u$ and $B \leftarrow t B + b B_u$. | ||
| 1237 | |||
| 1238 | It is possible to update one of the matrices, or both. | ||
| 1239 | |||
| 1240 | The matrices `Au` and `Bu` must be equal in all subcommunicators. | ||
| 1241 | |||
| 1242 | The `str` flag is passed to the `MatAXPY()` operations to perform the updates. | ||
| 1243 | |||
| 1244 | If `globalup` is `PETSC_TRUE`, communication is carried out to reconstruct the updated | ||
| 1245 | matrices in the parent communicator. The user must be warned that if global | ||
| 1246 | matrices are not in sync with subcommunicator matrices, the errors computed | ||
| 1247 | by `EPSComputeError()` will be wrong even if the computed solution is correct | ||
| 1248 | (the synchronization may be done only once at the end). | ||
| 1249 | |||
| 1250 | Level: advanced | ||
| 1251 | |||
| 1252 | .seealso: [](ch:eps), [](#sec:slice), `EPSKRYLOVSCHUR`, `EPSSetInterval()`, `EPSKrylovSchurSetPartitions()`, `EPSKrylovSchurGetSubcommMats()` | ||
| 1253 | @*/ | ||
| 1254 | 26 | PetscErrorCode EPSKrylovSchurUpdateSubcommMats(EPS eps,PetscScalar s,PetscScalar a,Mat Au,PetscScalar t,PetscScalar b,Mat Bu,MatStructure str,PetscBool globalup) | |
| 1255 | { | ||
| 1256 |
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26 | PetscFunctionBegin; |
| 1257 |
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26 | PetscValidHeaderSpecific(eps,EPS_CLASSID,1); |
| 1258 |
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26 | PetscValidLogicalCollectiveScalar(eps,s,2); |
| 1259 |
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26 | PetscValidLogicalCollectiveScalar(eps,a,3); |
| 1260 |
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26 | if (Au) PetscValidHeaderSpecific(Au,MAT_CLASSID,4); |
| 1261 |
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26 | PetscValidLogicalCollectiveScalar(eps,t,5); |
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26 | PetscValidLogicalCollectiveScalar(eps,b,6); |
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26 | if (Bu) PetscValidHeaderSpecific(Bu,MAT_CLASSID,7); |
| 1264 |
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26 | PetscValidLogicalCollectiveEnum(eps,str,8); |
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26 | PetscValidLogicalCollectiveBool(eps,globalup,9); |
| 1266 |
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|
26 | PetscTryMethod(eps,"EPSKrylovSchurUpdateSubcommMats_C",(EPS,PetscScalar,PetscScalar,Mat,PetscScalar,PetscScalar,Mat,MatStructure,PetscBool),(eps,s,a,Au,t,b,Bu,str,globalup)); |
| 1267 |
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|
26 | PetscFunctionReturn(PETSC_SUCCESS); |
| 1268 | } | ||
| 1269 | |||
| 1270 | 328 | PetscErrorCode EPSKrylovSchurGetChildEPS(EPS eps,EPS *childeps) | |
| 1271 | { | ||
| 1272 | 328 | EPS_KRYLOVSCHUR *ctx=(EPS_KRYLOVSCHUR*)eps->data,*ctx_local; | |
| 1273 | 328 | Mat A,B=NULL,Ar=NULL,Br=NULL; | |
| 1274 | 328 | PetscMPIInt rank; | |
| 1275 | 328 | PetscObjectState Astate,Bstate=0; | |
| 1276 | 328 | PetscObjectId Aid,Bid=0; | |
| 1277 | 328 | STType sttype; | |
| 1278 | 328 | PetscInt nmat; | |
| 1279 | 328 | const char *prefix; | |
| 1280 | 328 | MPI_Comm child; | |
| 1281 | |||
| 1282 |
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328 | PetscFunctionBegin; |
| 1283 |
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328 | PetscCall(EPSGetOperators(eps,&A,&B)); |
| 1284 |
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328 | if (ctx->npart==1) { |
| 1285 |
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168 | if (!ctx->eps) PetscCall(EPSCreate(((PetscObject)eps)->comm,&ctx->eps)); |
| 1286 |
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168 | PetscCall(EPSGetOptionsPrefix(eps,&prefix)); |
| 1287 |
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168 | PetscCall(EPSSetOptionsPrefix(ctx->eps,prefix)); |
| 1288 |
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168 | PetscCall(EPSSetOperators(ctx->eps,A,B)); |
| 1289 | } else { | ||
| 1290 |
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160 | PetscCall(MatGetState(A,&Astate)); |
| 1291 |
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160 | PetscCall(PetscObjectGetId((PetscObject)A,&Aid)); |
| 1292 |
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160 | if (B) { |
| 1293 |
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160 | PetscCall(MatGetState(B,&Bstate)); |
| 1294 |
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160 | PetscCall(PetscObjectGetId((PetscObject)B,&Bid)); |
| 1295 | } | ||
| 1296 |
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160 | if (!ctx->subc) { |
| 1297 | /* Create context for subcommunicators */ | ||
| 1298 |
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59 | PetscCall(PetscSubcommCreate(PetscObjectComm((PetscObject)eps),&ctx->subc)); |
| 1299 |
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59 | PetscCall(PetscSubcommSetNumber(ctx->subc,ctx->npart)); |
| 1300 |
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59 | PetscCall(PetscSubcommSetType(ctx->subc,PETSC_SUBCOMM_CONTIGUOUS)); |
| 1301 |
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59 | PetscCall(PetscSubcommGetChild(ctx->subc,&child)); |
| 1302 | |||
| 1303 | /* Duplicate matrices */ | ||
| 1304 |
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59 | PetscCall(MatCreateRedundantMatrix(A,0,child,MAT_INITIAL_MATRIX,&Ar)); |
| 1305 | 59 | ctx->Astate = Astate; | |
| 1306 | 59 | ctx->Aid = Aid; | |
| 1307 |
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59 | PetscCall(MatPropagateSymmetryOptions(A,Ar)); |
| 1308 |
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59 | if (B) { |
| 1309 |
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59 | PetscCall(MatCreateRedundantMatrix(B,0,child,MAT_INITIAL_MATRIX,&Br)); |
| 1310 | 59 | ctx->Bstate = Bstate; | |
| 1311 | 59 | ctx->Bid = Bid; | |
| 1312 |
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59 | PetscCall(MatPropagateSymmetryOptions(B,Br)); |
| 1313 | } | ||
| 1314 | } else { | ||
| 1315 |
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101 | PetscCall(PetscSubcommGetChild(ctx->subc,&child)); |
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101 | if (ctx->Astate != Astate || (B && ctx->Bstate != Bstate) || ctx->Aid != Aid || (B && ctx->Bid != Bid)) { |
| 1317 | ✗ | PetscCall(STGetNumMatrices(ctx->eps->st,&nmat)); | |
| 1318 | ✗ | if (nmat) PetscCall(EPSGetOperators(ctx->eps,&Ar,&Br)); | |
| 1319 | ✗ | PetscCall(MatCreateRedundantMatrix(A,0,child,MAT_INITIAL_MATRIX,&Ar)); | |
| 1320 | ✗ | ctx->Astate = Astate; | |
| 1321 | ✗ | ctx->Aid = Aid; | |
| 1322 | ✗ | PetscCall(MatPropagateSymmetryOptions(A,Ar)); | |
| 1323 | ✗ | if (B) { | |
| 1324 | ✗ | PetscCall(MatCreateRedundantMatrix(B,0,child,MAT_INITIAL_MATRIX,&Br)); | |
| 1325 | ✗ | ctx->Bstate = Bstate; | |
| 1326 | ✗ | ctx->Bid = Bid; | |
| 1327 | ✗ | PetscCall(MatPropagateSymmetryOptions(B,Br)); | |
| 1328 | } | ||
| 1329 | ✗ | PetscCall(EPSSetOperators(ctx->eps,Ar,Br)); | |
| 1330 | ✗ | PetscCall(MatDestroy(&Ar)); | |
| 1331 | ✗ | PetscCall(MatDestroy(&Br)); | |
| 1332 | } | ||
| 1333 | } | ||
| 1334 | |||
| 1335 | /* Create auxiliary EPS */ | ||
| 1336 |
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160 | if (!ctx->eps) { |
| 1337 |
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59 | PetscCall(EPSCreate(child,&ctx->eps)); |
| 1338 |
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59 | PetscCall(EPSGetOptionsPrefix(eps,&prefix)); |
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59 | PetscCall(EPSSetOptionsPrefix(ctx->eps,prefix)); |
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59 | PetscCall(EPSSetOperators(ctx->eps,Ar,Br)); |
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59 | PetscCall(MatDestroy(&Ar)); |
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59 | PetscCall(MatDestroy(&Br)); |
| 1343 | } | ||
| 1344 | /* Create subcommunicator grouping processes with same rank */ | ||
| 1345 |
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160 | if (!ctx->commset) { |
| 1346 |
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59 | PetscCallMPI(MPI_Comm_rank(child,&rank)); |
| 1347 |
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59 | PetscCallMPI(MPI_Comm_split(((PetscObject)eps)->comm,rank,ctx->subc->color,&ctx->commrank)); |
| 1348 | 59 | ctx->commset = PETSC_TRUE; | |
| 1349 | } | ||
| 1350 | } | ||
| 1351 |
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328 | PetscCall(EPSSetType(ctx->eps,((PetscObject)eps)->type_name)); |
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328 | PetscCall(STGetType(eps->st,&sttype)); |
| 1353 |
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328 | PetscCall(STSetType(ctx->eps->st,sttype)); |
| 1354 | |||
| 1355 | 328 | ctx_local = (EPS_KRYLOVSCHUR*)ctx->eps->data; | |
| 1356 | 328 | ctx_local->npart = ctx->npart; | |
| 1357 | 328 | ctx_local->global = PETSC_FALSE; | |
| 1358 | 328 | ctx_local->eps = eps; | |
| 1359 | 328 | ctx_local->subc = ctx->subc; | |
| 1360 | 328 | ctx_local->commrank = ctx->commrank; | |
| 1361 | 328 | *childeps = ctx->eps; | |
| 1362 |
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|
328 | PetscFunctionReturn(PETSC_SUCCESS); |
| 1363 | } | ||
| 1364 | |||
| 1365 | 173 | static PetscErrorCode EPSKrylovSchurGetKSP_KrylovSchur(EPS eps,KSP *ksp) | |
| 1366 | { | ||
| 1367 | 173 | EPS_KRYLOVSCHUR *ctx=(EPS_KRYLOVSCHUR*)eps->data; | |
| 1368 | 173 | ST st; | |
| 1369 | 173 | PetscBool isfilt; | |
| 1370 | |||
| 1371 |
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173 | PetscFunctionBegin; |
| 1372 |
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173 | PetscCall(PetscObjectTypeCompare((PetscObject)eps->st,STFILTER,&isfilt)); |
| 1373 |
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173 | PetscCheck(eps->which==EPS_ALL && !isfilt,PetscObjectComm((PetscObject)eps),PETSC_ERR_ARG_WRONGSTATE,"Only available in interval computations with spectrum slicing"); |
| 1374 |
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173 | PetscCall(EPSKrylovSchurGetChildEPS(eps,&ctx->eps)); |
| 1375 |
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173 | PetscCall(EPSGetST(ctx->eps,&st)); |
| 1376 |
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173 | PetscCall(STGetOperator(st,NULL)); |
| 1377 |
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173 | PetscCall(STGetKSP(st,ksp)); |
| 1378 |
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|
36 | PetscFunctionReturn(PETSC_SUCCESS); |
| 1379 | } | ||
| 1380 | |||
| 1381 | /*@ | ||
| 1382 | EPSKrylovSchurGetKSP - Retrieve the linear solver object associated with the | ||
| 1383 | internal `EPS` object in case of doing spectrum slicing for a computational interval. | ||
| 1384 | |||
| 1385 | Collective | ||
| 1386 | |||
| 1387 | Input Parameter: | ||
| 1388 | . eps - the linear eigensolver context | ||
| 1389 | |||
| 1390 | Output Parameter: | ||
| 1391 | . ksp - the internal `KSP` object | ||
| 1392 | |||
| 1393 | Notes: | ||
| 1394 | When invoked to compute all eigenvalues in an interval with spectrum | ||
| 1395 | slicing, `EPSKRYLOVSCHUR` creates another `EPS` object internally that is | ||
| 1396 | used to compute eigenvalues by chunks near selected shifts. This function | ||
| 1397 | allows access to the `KSP` object associated to this internal `EPS` object. | ||
| 1398 | |||
| 1399 | This function is only available for spectrum slicing runs, that is, when | ||
| 1400 | an interval has been given with `EPSSetInterval()` and `STSINVERT` is set. | ||
| 1401 | See more details in section [](#sec:slice). | ||
| 1402 | |||
| 1403 | In case of having more than one partition, the returned `KSP` will be different | ||
| 1404 | in MPI processes belonging to different partitions. Hence, if required, | ||
| 1405 | `EPSKrylovSchurSetPartitions()` must be called BEFORE this function. | ||
| 1406 | |||
| 1407 | Level: advanced | ||
| 1408 | |||
| 1409 | .seealso: [](ch:eps), [](#sec:slice), `EPSKRYLOVSCHUR`, `EPSSetInterval()`, `EPSKrylovSchurSetPartitions()` | ||
| 1410 | @*/ | ||
| 1411 | 50 | PetscErrorCode EPSKrylovSchurGetKSP(EPS eps,KSP *ksp) | |
| 1412 | { | ||
| 1413 |
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50 | PetscFunctionBegin; |
| 1414 |
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50 | PetscValidHeaderSpecific(eps,EPS_CLASSID,1); |
| 1415 |
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|
50 | PetscUseMethod(eps,"EPSKrylovSchurGetKSP_C",(EPS,KSP*),(eps,ksp)); |
| 1416 |
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50 | PetscFunctionReturn(PETSC_SUCCESS); |
| 1417 | } | ||
| 1418 | |||
| 1419 | 376 | static PetscErrorCode EPSKrylovSchurSetBSEType_KrylovSchur(EPS eps,EPSKrylovSchurBSEType bse) | |
| 1420 | { | ||
| 1421 | 376 | EPS_KRYLOVSCHUR *ctx = (EPS_KRYLOVSCHUR*)eps->data; | |
| 1422 | |||
| 1423 |
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376 | PetscFunctionBegin; |
| 1424 |
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376 | switch (bse) { |
| 1425 | 376 | case EPS_KRYLOVSCHUR_BSE_SHAO: | |
| 1426 | case EPS_KRYLOVSCHUR_BSE_GRUNING: | ||
| 1427 | case EPS_KRYLOVSCHUR_BSE_PROJECTEDBSE: | ||
| 1428 |
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|
376 | if (ctx->bse != bse) { |
| 1429 | 248 | ctx->bse = bse; | |
| 1430 | 248 | eps->state = EPS_STATE_INITIAL; | |
| 1431 | } | ||
| 1432 | 76 | break; | |
| 1433 | ✗ | default: | |
| 1434 | ✗ | SETERRQ(PetscObjectComm((PetscObject)eps),PETSC_ERR_ARG_OUTOFRANGE,"Invalid BSE type"); | |
| 1435 | } | ||
| 1436 |
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|
76 | PetscFunctionReturn(PETSC_SUCCESS); |
| 1437 | } | ||
| 1438 | |||
| 1439 | /*@ | ||
| 1440 | EPSKrylovSchurSetBSEType - Sets the method to be used for BSE structured eigenproblems | ||
| 1441 | in the Krylov-Schur solver. | ||
| 1442 | |||
| 1443 | Logically Collective | ||
| 1444 | |||
| 1445 | Input Parameters: | ||
| 1446 | + eps - the linear eigensolver context, see `EPSKrylovSchurBSEType` for possible values | ||
| 1447 | - bse - the BSE method | ||
| 1448 | |||
| 1449 | Options Database Key: | ||
| 1450 | . -eps_krylovschur_bse_type \<bse\> - sets the BSE type, either `shao`, `gruning`, or `projectedbse` | ||
| 1451 | |||
| 1452 | Notes: | ||
| 1453 | This function is relevant only for `EPS_BSE` problem types, see section | ||
| 1454 | on [](#sec:structured). | ||
| 1455 | |||
| 1456 | A detailed description of the methods can be found in {cite:p}`Alv25`. | ||
| 1457 | |||
| 1458 | Level: advanced | ||
| 1459 | |||
| 1460 | .seealso: [](ch:eps), [](#sec:structured), `EPS_BSE`, `EPSKRYLOVSCHUR`, `EPSKrylovSchurGetBSEType()`, `EPSKrylovSchurBSEType`, `MatCreateBSE()` | ||
| 1461 | @*/ | ||
| 1462 | 376 | PetscErrorCode EPSKrylovSchurSetBSEType(EPS eps,EPSKrylovSchurBSEType bse) | |
| 1463 | { | ||
| 1464 |
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376 | PetscFunctionBegin; |
| 1465 |
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376 | PetscValidHeaderSpecific(eps,EPS_CLASSID,1); |
| 1466 |
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376 | PetscValidLogicalCollectiveEnum(eps,bse,2); |
| 1467 |
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376 | PetscTryMethod(eps,"EPSKrylovSchurSetBSEType_C",(EPS,EPSKrylovSchurBSEType),(eps,bse)); |
| 1468 |
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376 | PetscFunctionReturn(PETSC_SUCCESS); |
| 1469 | } | ||
| 1470 | |||
| 1471 | ✗ | static PetscErrorCode EPSKrylovSchurGetBSEType_KrylovSchur(EPS eps,EPSKrylovSchurBSEType *bse) | |
| 1472 | { | ||
| 1473 | ✗ | EPS_KRYLOVSCHUR *ctx = (EPS_KRYLOVSCHUR*)eps->data; | |
| 1474 | |||
| 1475 | ✗ | PetscFunctionBegin; | |
| 1476 | ✗ | *bse = ctx->bse; | |
| 1477 | ✗ | PetscFunctionReturn(PETSC_SUCCESS); | |
| 1478 | } | ||
| 1479 | |||
| 1480 | /*@ | ||
| 1481 | EPSKrylovSchurGetBSEType - Gets the method used for BSE structured eigenproblems | ||
| 1482 | in the Krylov-Schur solver. | ||
| 1483 | |||
| 1484 | Not Collective | ||
| 1485 | |||
| 1486 | Input Parameter: | ||
| 1487 | . eps - the linear eigensolver context | ||
| 1488 | |||
| 1489 | Output Parameter: | ||
| 1490 | . bse - the BSE method | ||
| 1491 | |||
| 1492 | Level: advanced | ||
| 1493 | |||
| 1494 | .seealso: [](ch:eps), [](#sec:structured), `EPS_BSE`, `EPSKRYLOVSCHUR`, `EPSKrylovSchurSetBSEType()`, `EPSKrylovSchurBSEType`, `MatCreateBSE()` | ||
| 1495 | @*/ | ||
| 1496 | ✗ | PetscErrorCode EPSKrylovSchurGetBSEType(EPS eps,EPSKrylovSchurBSEType *bse) | |
| 1497 | { | ||
| 1498 | ✗ | PetscFunctionBegin; | |
| 1499 | ✗ | PetscValidHeaderSpecific(eps,EPS_CLASSID,1); | |
| 1500 | ✗ | PetscAssertPointer(bse,2); | |
| 1501 | ✗ | PetscUseMethod(eps,"EPSKrylovSchurGetBSEType_C",(EPS,EPSKrylovSchurBSEType*),(eps,bse)); | |
| 1502 | ✗ | PetscFunctionReturn(PETSC_SUCCESS); | |
| 1503 | } | ||
| 1504 | |||
| 1505 | 3100 | static PetscErrorCode EPSSetFromOptions_KrylovSchur(EPS eps,PetscOptionItems PetscOptionsObject) | |
| 1506 | { | ||
| 1507 | 3100 | EPS_KRYLOVSCHUR *ctx = (EPS_KRYLOVSCHUR*)eps->data; | |
| 1508 | 3100 | PetscBool flg,lock,b,f1,f2,f3,isfilt; | |
| 1509 | 3100 | PetscReal keep; | |
| 1510 | 3100 | PetscInt i,j,k; | |
| 1511 | 3100 | KSP ksp; | |
| 1512 | 3100 | EPSKrylovSchurBSEType bse; | |
| 1513 | |||
| 1514 |
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3100 | PetscFunctionBegin; |
| 1515 |
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3100 | PetscOptionsHeadBegin(PetscOptionsObject,"EPS Krylov-Schur Options"); |
| 1516 | |||
| 1517 |
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3100 | PetscCall(PetscOptionsReal("-eps_krylovschur_restart","Proportion of vectors kept after restart","EPSKrylovSchurSetRestart",0.5,&keep,&flg)); |
| 1518 |
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3100 | if (flg) PetscCall(EPSKrylovSchurSetRestart(eps,keep)); |
| 1519 | |||
| 1520 |
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3100 | PetscCall(PetscOptionsBool("-eps_krylovschur_locking","Choose between locking and non-locking variants","EPSKrylovSchurSetLocking",PETSC_TRUE,&lock,&flg)); |
| 1521 |
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3100 | if (flg) PetscCall(EPSKrylovSchurSetLocking(eps,lock)); |
| 1522 | |||
| 1523 | 3100 | i = ctx->npart; | |
| 1524 |
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3100 | PetscCall(PetscOptionsInt("-eps_krylovschur_partitions","Number of partitions of the communicator for spectrum slicing","EPSKrylovSchurSetPartitions",ctx->npart,&i,&flg)); |
| 1525 |
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3100 | if (flg) PetscCall(EPSKrylovSchurSetPartitions(eps,i)); |
| 1526 | |||
| 1527 | 3100 | b = ctx->detect; | |
| 1528 |
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3100 | PetscCall(PetscOptionsBool("-eps_krylovschur_detect_zeros","Check zeros during factorizations at subinterval boundaries","EPSKrylovSchurSetDetectZeros",ctx->detect,&b,&flg)); |
| 1529 |
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3100 | if (flg) PetscCall(EPSKrylovSchurSetDetectZeros(eps,b)); |
| 1530 | |||
| 1531 | 3100 | i = 1; | |
| 1532 | 3100 | j = k = PETSC_DECIDE; | |
| 1533 |
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3100 | PetscCall(PetscOptionsInt("-eps_krylovschur_nev","Number of eigenvalues to compute in each subsolve (only for spectrum slicing)","EPSKrylovSchurSetDimensions",40,&i,&f1)); |
| 1534 |
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3100 | PetscCall(PetscOptionsInt("-eps_krylovschur_ncv","Number of basis vectors in each subsolve (only for spectrum slicing)","EPSKrylovSchurSetDimensions",80,&j,&f2)); |
| 1535 |
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3100 | PetscCall(PetscOptionsInt("-eps_krylovschur_mpd","Maximum dimension of projected problem in each subsolve (only for spectrum slicing)","EPSKrylovSchurSetDimensions",80,&k,&f3)); |
| 1536 |
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3100 | if (f1 || f2 || f3) PetscCall(EPSKrylovSchurSetDimensions(eps,i,j,k)); |
| 1537 | |||
| 1538 |
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3100 | PetscCall(PetscOptionsEnum("-eps_krylovschur_bse_type","Method for BSE structured eigenproblems","EPSKrylovSchurSetBSEType",EPSKrylovSchurBSETypes,(PetscEnum)ctx->bse,(PetscEnum*)&bse,&flg)); |
| 1539 |
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3100 | if (flg) PetscCall(EPSKrylovSchurSetBSEType(eps,bse)); |
| 1540 | |||
| 1541 |
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3100 | PetscOptionsHeadEnd(); |
| 1542 | |||
| 1543 | /* set options of child KSP in spectrum slicing */ | ||
| 1544 |
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3100 | if (eps->which==EPS_ALL) { |
| 1545 |
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215 | if (!eps->st) PetscCall(EPSGetST(eps,&eps->st)); |
| 1546 |
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215 | PetscCall(EPSSetDefaultST(eps)); |
| 1547 |
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215 | PetscCall(STSetFromOptions(eps->st)); /* need to advance this to check ST type */ |
| 1548 |
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215 | PetscCall(PetscObjectTypeCompare((PetscObject)eps->st,STFILTER,&isfilt)); |
| 1549 |
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215 | if (!isfilt) { |
| 1550 |
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|
123 | PetscCall(EPSKrylovSchurGetKSP_KrylovSchur(eps,&ksp)); |
| 1551 |
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123 | PetscCall(KSPSetFromOptions(ksp)); |
| 1552 | } | ||
| 1553 | } | ||
| 1554 |
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|
740 | PetscFunctionReturn(PETSC_SUCCESS); |
| 1555 | } | ||
| 1556 | |||
| 1557 | 33 | static PetscErrorCode EPSView_KrylovSchur(EPS eps,PetscViewer viewer) | |
| 1558 | { | ||
| 1559 | 33 | EPS_KRYLOVSCHUR *ctx = (EPS_KRYLOVSCHUR*)eps->data; | |
| 1560 | 33 | PetscBool isascii,isfilt; | |
| 1561 | 33 | KSP ksp; | |
| 1562 | 33 | PetscViewer sviewer; | |
| 1563 | |||
| 1564 |
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33 | PetscFunctionBegin; |
| 1565 |
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33 | PetscCall(PetscObjectTypeCompare((PetscObject)viewer,PETSCVIEWERASCII,&isascii)); |
| 1566 |
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33 | if (isascii) { |
| 1567 |
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33 | PetscCall(PetscViewerASCIIPrintf(viewer," %d%% of basis vectors kept after restart\n",(int)(100*ctx->keep))); |
| 1568 |
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33 | PetscCall(PetscViewerASCIIPrintf(viewer," using the %slocking variant\n",ctx->lock?"":"non-")); |
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33 | if (eps->problem_type==EPS_BSE) PetscCall(PetscViewerASCIIPrintf(viewer," BSE method: %s\n",EPSKrylovSchurBSETypes[ctx->bse])); |
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33 | if (eps->which==EPS_ALL) { |
| 1571 | ✗ | PetscCall(PetscObjectTypeCompare((PetscObject)eps->st,STFILTER,&isfilt)); | |
| 1572 | ✗ | if (isfilt) PetscCall(PetscViewerASCIIPrintf(viewer," using filtering to extract all eigenvalues in an interval\n")); | |
| 1573 | else { | ||
| 1574 | ✗ | PetscCall(PetscViewerASCIIPrintf(viewer," doing spectrum slicing with nev=%" PetscInt_FMT ", ncv=%" PetscInt_FMT ", mpd=%" PetscInt_FMT "\n",ctx->nev,ctx->ncv,ctx->mpd)); | |
| 1575 | ✗ | if (ctx->npart>1) { | |
| 1576 | ✗ | PetscCall(PetscViewerASCIIPrintf(viewer," multi-communicator spectrum slicing with %" PetscInt_FMT " partitions\n",ctx->npart)); | |
| 1577 | ✗ | if (ctx->detect) PetscCall(PetscViewerASCIIPrintf(viewer," detecting zeros when factorizing at subinterval boundaries\n")); | |
| 1578 | } | ||
| 1579 | /* view child KSP */ | ||
| 1580 | ✗ | PetscCall(EPSKrylovSchurGetKSP_KrylovSchur(eps,&ksp)); | |
| 1581 | ✗ | PetscCall(PetscViewerASCIIPushTab(viewer)); | |
| 1582 | ✗ | if (ctx->npart>1 && ctx->subc) { | |
| 1583 | ✗ | PetscCall(PetscViewerGetSubViewer(viewer,ctx->subc->child,&sviewer)); | |
| 1584 | ✗ | if (!ctx->subc->color) PetscCall(KSPView(ksp,sviewer)); | |
| 1585 | ✗ | PetscCall(PetscViewerFlush(sviewer)); | |
| 1586 | ✗ | PetscCall(PetscViewerRestoreSubViewer(viewer,ctx->subc->child,&sviewer)); | |
| 1587 | /* extra call needed because of the two calls to PetscViewerASCIIPushSynchronized() in PetscViewerGetSubViewer() */ | ||
| 1588 | ✗ | PetscCall(PetscViewerASCIIPopSynchronized(viewer)); | |
| 1589 | ✗ | } else PetscCall(KSPView(ksp,viewer)); | |
| 1590 | ✗ | PetscCall(PetscViewerASCIIPopTab(viewer)); | |
| 1591 | } | ||
| 1592 | } | ||
| 1593 | } | ||
| 1594 |
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8 | PetscFunctionReturn(PETSC_SUCCESS); |
| 1595 | } | ||
| 1596 | |||
| 1597 | 3435 | static PetscErrorCode EPSDestroy_KrylovSchur(EPS eps) | |
| 1598 | { | ||
| 1599 | 3435 | PetscBool isfilt; | |
| 1600 | |||
| 1601 |
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3435 | PetscFunctionBegin; |
| 1602 |
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3435 | PetscCall(PetscObjectTypeCompare((PetscObject)eps->st,STFILTER,&isfilt)); |
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3435 | if (eps->which==EPS_ALL && !isfilt) PetscCall(EPSDestroy_KrylovSchur_Slice(eps)); |
| 1604 |
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3435 | PetscCall(PetscFree(eps->data)); |
| 1605 |
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3435 | PetscCall(PetscObjectComposeFunction((PetscObject)eps,"EPSKrylovSchurSetRestart_C",NULL)); |
| 1606 |
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3435 | PetscCall(PetscObjectComposeFunction((PetscObject)eps,"EPSKrylovSchurGetRestart_C",NULL)); |
| 1607 |
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3435 | PetscCall(PetscObjectComposeFunction((PetscObject)eps,"EPSKrylovSchurSetLocking_C",NULL)); |
| 1608 |
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3435 | PetscCall(PetscObjectComposeFunction((PetscObject)eps,"EPSKrylovSchurGetLocking_C",NULL)); |
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3435 | PetscCall(PetscObjectComposeFunction((PetscObject)eps,"EPSKrylovSchurSetPartitions_C",NULL)); |
| 1610 |
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3435 | PetscCall(PetscObjectComposeFunction((PetscObject)eps,"EPSKrylovSchurGetPartitions_C",NULL)); |
| 1611 |
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3435 | PetscCall(PetscObjectComposeFunction((PetscObject)eps,"EPSKrylovSchurSetDetectZeros_C",NULL)); |
| 1612 |
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3435 | PetscCall(PetscObjectComposeFunction((PetscObject)eps,"EPSKrylovSchurGetDetectZeros_C",NULL)); |
| 1613 |
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3435 | PetscCall(PetscObjectComposeFunction((PetscObject)eps,"EPSKrylovSchurSetDimensions_C",NULL)); |
| 1614 |
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3435 | PetscCall(PetscObjectComposeFunction((PetscObject)eps,"EPSKrylovSchurGetDimensions_C",NULL)); |
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3435 | PetscCall(PetscObjectComposeFunction((PetscObject)eps,"EPSKrylovSchurSetSubintervals_C",NULL)); |
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3435 | PetscCall(PetscObjectComposeFunction((PetscObject)eps,"EPSKrylovSchurGetSubintervals_C",NULL)); |
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3435 | PetscCall(PetscObjectComposeFunction((PetscObject)eps,"EPSKrylovSchurGetInertias_C",NULL)); |
| 1618 |
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3435 | PetscCall(PetscObjectComposeFunction((PetscObject)eps,"EPSKrylovSchurGetSubcommInfo_C",NULL)); |
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3435 | PetscCall(PetscObjectComposeFunction((PetscObject)eps,"EPSKrylovSchurGetSubcommPairs_C",NULL)); |
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3435 | PetscCall(PetscObjectComposeFunction((PetscObject)eps,"EPSKrylovSchurGetSubcommMats_C",NULL)); |
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3435 | PetscCall(PetscObjectComposeFunction((PetscObject)eps,"EPSKrylovSchurUpdateSubcommMats_C",NULL)); |
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3435 | PetscCall(PetscObjectComposeFunction((PetscObject)eps,"EPSKrylovSchurGetKSP_C",NULL)); |
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3435 | PetscCall(PetscObjectComposeFunction((PetscObject)eps,"EPSKrylovSchurSetBSEType_C",NULL)); |
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3435 | PetscCall(PetscObjectComposeFunction((PetscObject)eps,"EPSKrylovSchurGetBSEType_C",NULL)); |
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817 | PetscFunctionReturn(PETSC_SUCCESS); |
| 1626 | } | ||
| 1627 | |||
| 1628 | 4710 | static PetscErrorCode EPSReset_KrylovSchur(EPS eps) | |
| 1629 | { | ||
| 1630 | 4710 | PetscBool isfilt; | |
| 1631 | |||
| 1632 |
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4710 | PetscFunctionBegin; |
| 1633 |
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4710 | PetscCall(PetscObjectTypeCompare((PetscObject)eps->st,STFILTER,&isfilt)); |
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4710 | if (eps->which==EPS_ALL && !isfilt) PetscCall(EPSReset_KrylovSchur_Slice(eps)); |
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1118 | PetscFunctionReturn(PETSC_SUCCESS); |
| 1636 | } | ||
| 1637 | |||
| 1638 | 8387 | static PetscErrorCode EPSSetDefaultST_KrylovSchur(EPS eps) | |
| 1639 | { | ||
| 1640 |
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8387 | PetscFunctionBegin; |
| 1641 |
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8387 | if (eps->which==EPS_ALL) { |
| 1642 |
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880 | if (!((PetscObject)eps->st)->type_name) PetscCall(STSetType(eps->st,STSINVERT)); |
| 1643 | } | ||
| 1644 |
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1980 | PetscFunctionReturn(PETSC_SUCCESS); |
| 1645 | } | ||
| 1646 | |||
| 1647 | /*MC | ||
| 1648 | EPSKRYLOVSCHUR - EPSKRYLOVSCHUR = "krylovschur" - Krylov-Schur method. | ||
| 1649 | |||
| 1650 | Notes: | ||
| 1651 | This is the default solver, and is recommended in most situations. | ||
| 1652 | |||
| 1653 | The implemented algorithm is the single-vector Krylov-Schur method proposed | ||
| 1654 | by {cite:t}`Ste01b` for non-Hermitian eigenproblems. When the problem is | ||
| 1655 | Hermitian, the solver will behave as a thick-restart Lanczos method | ||
| 1656 | {cite:p}`Wu00` with full reorthogonalization. | ||
| 1657 | |||
| 1658 | The solver includes support for many features\: | ||
| 1659 | - Harmonic extraction, see `EPSSetExtraction()`. | ||
| 1660 | - Inertia-based spectrum slicing to compute all eigenvalues in an interval, | ||
| 1661 | see {cite:p}`Cam12`. | ||
| 1662 | - Polynomial filter to compute eigenvalues in an interval via `STFILTER`. | ||
| 1663 | - Indefinite Lanczos to solve `EPSGHIEP` problems. | ||
| 1664 | - Structured variants for problem types such as `EPSBSE`. | ||
| 1665 | - A two-sided variant that also computes left eigenvectors. | ||
| 1666 | - Arbitrary selection of eigenvalues, see `EPSSetArbitrarySelection()`. | ||
| 1667 | |||
| 1668 | Developer Note: | ||
| 1669 | In the future, we would like to have a block version of Krylov-Schur. | ||
| 1670 | |||
| 1671 | Level: beginner | ||
| 1672 | |||
| 1673 | .seealso: [](ch:eps), `EPS`, `EPSType`, `EPSSetType()`, `EPSSetProblemType()`, `EPSSetExtraction()`, `EPSSetArbitrarySelection()`, `EPSSetTwoSided()` | ||
| 1674 | M*/ | ||
| 1675 | 3435 | SLEPC_EXTERN PetscErrorCode EPSCreate_KrylovSchur(EPS eps) | |
| 1676 | { | ||
| 1677 | 3435 | EPS_KRYLOVSCHUR *ctx; | |
| 1678 | |||
| 1679 |
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3435 | PetscFunctionBegin; |
| 1680 |
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3435 | PetscCall(PetscNew(&ctx)); |
| 1681 | 3435 | eps->data = (void*)ctx; | |
| 1682 | 3435 | ctx->lock = PETSC_TRUE; | |
| 1683 | 3435 | ctx->nev = 1; | |
| 1684 | 3435 | ctx->ncv = PETSC_DETERMINE; | |
| 1685 | 3435 | ctx->mpd = PETSC_DETERMINE; | |
| 1686 | 3435 | ctx->npart = 1; | |
| 1687 | 3435 | ctx->detect = PETSC_FALSE; | |
| 1688 | 3435 | ctx->global = PETSC_TRUE; | |
| 1689 | |||
| 1690 | 3435 | eps->useds = PETSC_TRUE; | |
| 1691 | |||
| 1692 | /* solve and computevectors determined at setup */ | ||
| 1693 | 3435 | eps->ops->setup = EPSSetUp_KrylovSchur; | |
| 1694 | 3435 | eps->ops->setupsort = EPSSetUpSort_KrylovSchur; | |
| 1695 | 3435 | eps->ops->setfromoptions = EPSSetFromOptions_KrylovSchur; | |
| 1696 | 3435 | eps->ops->destroy = EPSDestroy_KrylovSchur; | |
| 1697 | 3435 | eps->ops->reset = EPSReset_KrylovSchur; | |
| 1698 | 3435 | eps->ops->view = EPSView_KrylovSchur; | |
| 1699 | 3435 | eps->ops->backtransform = EPSBackTransform_Default; | |
| 1700 | 3435 | eps->ops->setdefaultst = EPSSetDefaultST_KrylovSchur; | |
| 1701 | |||
| 1702 |
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3435 | PetscCall(PetscObjectComposeFunction((PetscObject)eps,"EPSKrylovSchurSetRestart_C",EPSKrylovSchurSetRestart_KrylovSchur)); |
| 1703 |
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3435 | PetscCall(PetscObjectComposeFunction((PetscObject)eps,"EPSKrylovSchurGetRestart_C",EPSKrylovSchurGetRestart_KrylovSchur)); |
| 1704 |
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3435 | PetscCall(PetscObjectComposeFunction((PetscObject)eps,"EPSKrylovSchurSetLocking_C",EPSKrylovSchurSetLocking_KrylovSchur)); |
| 1705 |
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3435 | PetscCall(PetscObjectComposeFunction((PetscObject)eps,"EPSKrylovSchurGetLocking_C",EPSKrylovSchurGetLocking_KrylovSchur)); |
| 1706 |
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3435 | PetscCall(PetscObjectComposeFunction((PetscObject)eps,"EPSKrylovSchurSetPartitions_C",EPSKrylovSchurSetPartitions_KrylovSchur)); |
| 1707 |
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3435 | PetscCall(PetscObjectComposeFunction((PetscObject)eps,"EPSKrylovSchurGetPartitions_C",EPSKrylovSchurGetPartitions_KrylovSchur)); |
| 1708 |
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3435 | PetscCall(PetscObjectComposeFunction((PetscObject)eps,"EPSKrylovSchurSetDetectZeros_C",EPSKrylovSchurSetDetectZeros_KrylovSchur)); |
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3435 | PetscCall(PetscObjectComposeFunction((PetscObject)eps,"EPSKrylovSchurGetDetectZeros_C",EPSKrylovSchurGetDetectZeros_KrylovSchur)); |
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3435 | PetscCall(PetscObjectComposeFunction((PetscObject)eps,"EPSKrylovSchurSetDimensions_C",EPSKrylovSchurSetDimensions_KrylovSchur)); |
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3435 | PetscCall(PetscObjectComposeFunction((PetscObject)eps,"EPSKrylovSchurGetDimensions_C",EPSKrylovSchurGetDimensions_KrylovSchur)); |
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3435 | PetscCall(PetscObjectComposeFunction((PetscObject)eps,"EPSKrylovSchurSetSubintervals_C",EPSKrylovSchurSetSubintervals_KrylovSchur)); |
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3435 | PetscCall(PetscObjectComposeFunction((PetscObject)eps,"EPSKrylovSchurGetSubintervals_C",EPSKrylovSchurGetSubintervals_KrylovSchur)); |
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3435 | PetscCall(PetscObjectComposeFunction((PetscObject)eps,"EPSKrylovSchurGetInertias_C",EPSKrylovSchurGetInertias_KrylovSchur)); |
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3435 | PetscCall(PetscObjectComposeFunction((PetscObject)eps,"EPSKrylovSchurGetSubcommInfo_C",EPSKrylovSchurGetSubcommInfo_KrylovSchur)); |
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3435 | PetscCall(PetscObjectComposeFunction((PetscObject)eps,"EPSKrylovSchurGetSubcommPairs_C",EPSKrylovSchurGetSubcommPairs_KrylovSchur)); |
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3435 | PetscCall(PetscObjectComposeFunction((PetscObject)eps,"EPSKrylovSchurGetSubcommMats_C",EPSKrylovSchurGetSubcommMats_KrylovSchur)); |
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3435 | PetscCall(PetscObjectComposeFunction((PetscObject)eps,"EPSKrylovSchurUpdateSubcommMats_C",EPSKrylovSchurUpdateSubcommMats_KrylovSchur)); |
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3435 | PetscCall(PetscObjectComposeFunction((PetscObject)eps,"EPSKrylovSchurGetKSP_C",EPSKrylovSchurGetKSP_KrylovSchur)); |
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3435 | PetscCall(PetscObjectComposeFunction((PetscObject)eps,"EPSKrylovSchurSetBSEType_C",EPSKrylovSchurSetBSEType_KrylovSchur)); |
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3435 | PetscCall(PetscObjectComposeFunction((PetscObject)eps,"EPSKrylovSchurGetBSEType_C",EPSKrylovSchurGetBSEType_KrylovSchur)); |
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817 | PetscFunctionReturn(PETSC_SUCCESS); |
| 1723 | } | ||
| 1724 |