| 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 | 221 | PetscErrorCode EPSGetArbitraryValues(EPS eps,PetscScalar *rr,PetscScalar *ri) | |
| 36 | { | ||
| 37 | 221 | PetscInt i,newi,ld,n,l; | |
| 38 | 221 | Vec xr=eps->work[0],xi=eps->work[1]; | |
| 39 | 221 | PetscScalar re,im,*Zr,*Zi,*X; | |
| 40 | |||
| 41 |
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221 | PetscFunctionBegin; |
| 42 |
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221 | PetscCall(DSGetLeadingDimension(eps->ds,&ld)); |
| 43 |
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221 | PetscCall(DSGetDimensions(eps->ds,&n,&l,NULL,NULL)); |
| 44 |
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3757 | for (i=l;i<n;i++) { |
| 45 | 3536 | re = eps->eigr[i]; | |
| 46 | 3536 | im = eps->eigi[i]; | |
| 47 |
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3536 | PetscCall(STBackTransform(eps->st,1,&re,&im)); |
| 48 | 3536 | newi = i; | |
| 49 |
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3536 | PetscCall(DSVectors(eps->ds,DS_MAT_X,&newi,NULL)); |
| 50 |
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3536 | PetscCall(DSGetArray(eps->ds,DS_MAT_X,&X)); |
| 51 | 3536 | Zr = X+i*ld; | |
| 52 |
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3536 | if (newi==i+1) Zi = X+newi*ld; |
| 53 | else Zi = NULL; | ||
| 54 |
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3536 | PetscCall(EPSComputeRitzVector(eps,Zr,Zi,eps->V,xr,xi)); |
| 55 |
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3536 | PetscCall(DSRestoreArray(eps->ds,DS_MAT_X,&X)); |
| 56 |
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3536 | 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 | 178 | static PetscErrorCode EPSSetUp_KrylovSchur_Filter(EPS eps) | |
| 62 | { | ||
| 63 | 178 | EPS_KRYLOVSCHUR *ctx = (EPS_KRYLOVSCHUR*)eps->data; | |
| 64 | 178 | PetscBool estimaterange=PETSC_TRUE; | |
| 65 | 178 | PetscReal rleft,rright; | |
| 66 | 178 | Mat A; | |
| 67 | |||
| 68 |
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178 | PetscFunctionBegin; |
| 69 |
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178 | EPSCheckHermitianCondition(eps,PETSC_TRUE," with polynomial filter"); |
| 70 |
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178 | EPSCheckStandardCondition(eps,PETSC_TRUE," with polynomial filter"); |
| 71 |
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178 | 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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178 | EPSCheckUnsupportedCondition(eps,EPS_FEATURE_ARBITRARY | EPS_FEATURE_REGION | EPS_FEATURE_EXTRACTION,PETSC_TRUE," with polynomial filter"); |
| 73 |
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178 | PetscCall(STFilterSetInterval(eps->st,eps->inta,eps->intb)); |
| 74 |
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178 | if (!ctx->estimatedrange) { |
| 75 |
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148 | PetscCall(STFilterGetRange(eps->st,&rleft,&rright)); |
| 76 |
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148 | estimaterange = (!rleft && !rright)? PETSC_TRUE: PETSC_FALSE; |
| 77 | } | ||
| 78 |
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14 | if (estimaterange) { /* user did not set a range */ |
| 79 |
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118 | PetscCall(STGetMatrix(eps->st,0,&A)); |
| 80 |
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118 | PetscCall(MatEstimateSpectralRange_EPS(A,&rleft,&rright)); |
| 81 |
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118 | PetscCall(PetscInfo(eps,"Setting eigenvalue range to [%g,%g]\n",(double)rleft,(double)rright)); |
| 82 |
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118 | PetscCall(STFilterSetRange(eps->st,rleft,rright)); |
| 83 | 118 | ctx->estimatedrange = PETSC_TRUE; | |
| 84 | } | ||
| 85 |
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178 | PetscCall(EPSSetStoppingTest(eps,EPS_STOP_THRESHOLD)); |
| 86 |
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178 | PetscCall(EPSSetDimensions_Default(eps,&eps->nev,&eps->ncv,&eps->mpd)); |
| 87 |
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178 | PetscCheck(eps->nev==0 || eps->ncv<=eps->nev+eps->mpd,PetscObjectComm((PetscObject)eps),PETSC_ERR_USER_INPUT,"The value of ncv must not be larger than nev+mpd"); |
| 88 |
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178 | if (eps->max_it==PETSC_DETERMINE) eps->max_it = PetscMax(100,2*eps->n/eps->ncv); |
| 89 |
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34 | PetscFunctionReturn(PETSC_SUCCESS); |
| 90 | } | ||
| 91 | |||
| 92 | 7619 | static PetscErrorCode EPSSetUp_KrylovSchur(EPS eps) | |
| 93 | { | ||
| 94 | 7619 | PetscReal eta; | |
| 95 | 7619 | PetscBool isfilt=PETSC_FALSE; | |
| 96 | 7619 | BVOrthogType otype; | |
| 97 | 7619 | BVOrthogBlockType obtype; | |
| 98 | 7619 | EPS_KRYLOVSCHUR *ctx = (EPS_KRYLOVSCHUR*)eps->data; | |
| 99 | 7619 | enum { EPS_KS_DEFAULT,EPS_KS_SYMM,EPS_KS_SLICE,EPS_KS_FILTER,EPS_KS_INDEF,EPS_KS_TWOSIDED } variant; | |
| 100 | |||
| 101 |
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7619 | PetscFunctionBegin; |
| 102 |
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7619 | if (eps->which==EPS_ALL) { /* default values in case of spectrum slicing or polynomial filter */ |
| 103 |
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572 | PetscCall(PetscObjectTypeCompare((PetscObject)eps->st,STFILTER,&isfilt)); |
| 104 |
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572 | if (isfilt) PetscCall(EPSSetUp_KrylovSchur_Filter(eps)); |
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394 | else PetscCall(EPSSetUp_KrylovSchur_Slice(eps)); |
| 106 |
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7047 | } else if (eps->isstructured) { |
| 107 |
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848 | if (eps->problem_type==EPS_BSE) PetscCall(EPSSetUp_KrylovSchur_BSE(eps)); |
| 108 |
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343 | else if (eps->problem_type==EPS_HAMILT) { |
| 109 |
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35 | PetscCheck(!PetscDefined(USE_COMPLEX),PetscObjectComm((PetscObject)eps),PETSC_ERR_SUP,"The Hamiltonian Krylov-Schur eigensolver is not yet implemented for complex scalars"); |
| 110 |
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35 | PetscCall(EPSSetUp_KrylovSchur_Hamilt(eps)); |
| 111 |
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308 | } else if (eps->problem_type==EPS_LREP) { |
| 112 |
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308 | PetscCheck(!PetscDefined(USE_COMPLEX),PetscObjectComm((PetscObject)eps),PETSC_ERR_SUP,"The LREP Krylov-Schur eigensolver does not support complex scalars, use BSE instead"); |
| 113 |
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308 | PetscCall(EPSSetUp_KrylovSchur_LREP(eps)); |
| 114 | ✗ | } else SETERRQ(PetscObjectComm((PetscObject)eps),PETSC_ERR_SUP,"Unknown matrix structure"); | |
| 115 |
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612 | PetscFunctionReturn(PETSC_SUCCESS); |
| 116 | } else { | ||
| 117 |
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6199 | PetscCall(EPSSetDimensions_Default(eps,&eps->nev,&eps->ncv,&eps->mpd)); |
| 118 |
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6199 | 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"); |
| 119 |
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8605 | if (eps->max_it==PETSC_DETERMINE) eps->max_it = PetscMax(100,2*eps->n/eps->ncv)*((eps->stop==EPS_STOP_THRESHOLD)?10:1); |
| 120 |
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6199 | if (!eps->which) PetscCall(EPSSetWhichEigenpairs_Default(eps)); |
| 121 | } | ||
| 122 |
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6771 | PetscCheck(ctx->lock || eps->mpd>=eps->ncv,PetscObjectComm((PetscObject)eps),PETSC_ERR_SUP,"Should not use mpd parameter in non-locking variant"); |
| 123 | |||
| 124 |
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6771 | EPSCheckDefiniteCondition(eps,eps->arbitrary," with arbitrary selection of eigenpairs"); |
| 125 | |||
| 126 |
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6771 | PetscCheck(eps->extraction==EPS_RITZ || eps->extraction==EPS_HARMONIC,PetscObjectComm((PetscObject)eps),PETSC_ERR_SUP,"Unsupported extraction type"); |
| 127 | |||
| 128 |
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6771 | if (!ctx->keep) ctx->keep = 0.5; |
| 129 | |||
| 130 |
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6771 | PetscCall(EPSAllocateSolution(eps,1)); |
| 131 |
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6771 | PetscCall(EPS_SetInnerProduct(eps)); |
| 132 |
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6771 | if (eps->arbitrary) PetscCall(EPSSetWorkVecs(eps,2)); |
| 133 |
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6749 | else if (eps->ishermitian && !eps->ispositive) PetscCall(EPSSetWorkVecs(eps,1)); |
| 134 | |||
| 135 | /* dispatch solve method */ | ||
| 136 |
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6771 | if (eps->ishermitian) { |
| 137 |
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3763 | if (eps->which==EPS_ALL) { |
| 138 |
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572 | EPSCheckDefiniteCondition(eps,eps->which==EPS_ALL," with spectrum slicing"); |
| 139 |
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572 | variant = isfilt? EPS_KS_FILTER: EPS_KS_SLICE; |
| 140 |
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3191 | } else if (eps->isgeneralized && !eps->ispositive) { |
| 141 | variant = EPS_KS_INDEF; | ||
| 142 | } else { | ||
| 143 |
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3070 | switch (eps->extraction) { |
| 144 | case EPS_RITZ: variant = EPS_KS_SYMM; break; | ||
| 145 | case EPS_HARMONIC: variant = EPS_KS_DEFAULT; break; | ||
| 146 | ✗ | default: SETERRQ(PetscObjectComm((PetscObject)eps),PETSC_ERR_SUP,"Unsupported extraction type"); | |
| 147 | } | ||
| 148 | } | ||
| 149 |
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3008 | } else if (eps->twosided) { |
| 150 | variant = EPS_KS_TWOSIDED; | ||
| 151 | } else { | ||
| 152 |
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2849 | switch (eps->extraction) { |
| 153 | case EPS_RITZ: variant = EPS_KS_DEFAULT; break; | ||
| 154 | case EPS_HARMONIC: variant = EPS_KS_DEFAULT; break; | ||
| 155 | ✗ | default: SETERRQ(PetscObjectComm((PetscObject)eps),PETSC_ERR_SUP,"Unsupported extraction type"); | |
| 156 | } | ||
| 157 | } | ||
| 158 | 674 | switch (variant) { | |
| 159 | 2909 | case EPS_KS_DEFAULT: | |
| 160 | 2909 | eps->ops->solve = EPSSolve_KrylovSchur_Default; | |
| 161 | 2909 | eps->ops->computevectors = EPSComputeVectors_Schur; | |
| 162 |
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2909 | PetscCall(DSSetType(eps->ds,DSNHEP)); |
| 163 |
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2909 | PetscCall(DSSetExtraRow(eps->ds,PETSC_TRUE)); |
| 164 |
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2909 | PetscCall(DSAllocate(eps->ds,eps->ncv+1)); |
| 165 | break; | ||
| 166 | 3188 | case EPS_KS_SYMM: | |
| 167 | case EPS_KS_FILTER: | ||
| 168 | 3188 | eps->ops->solve = EPSSolve_KrylovSchur_Default; | |
| 169 | 3188 | eps->ops->computevectors = EPSComputeVectors_Hermitian; | |
| 170 |
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3188 | PetscCall(DSSetType(eps->ds,DSHEP)); |
| 171 |
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3188 | PetscCall(DSSetCompact(eps->ds,PETSC_TRUE)); |
| 172 |
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3188 | PetscCall(DSSetExtraRow(eps->ds,PETSC_TRUE)); |
| 173 |
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3188 | PetscCall(DSAllocate(eps->ds,eps->ncv+1)); |
| 174 | break; | ||
| 175 | case EPS_KS_SLICE: | ||
| 176 | 394 | eps->ops->solve = EPSSolve_KrylovSchur_Slice; | |
| 177 | 394 | eps->ops->computevectors = EPSComputeVectors_Slice; | |
| 178 | 394 | break; | |
| 179 | case EPS_KS_INDEF: | ||
| 180 | 121 | eps->ops->solve = EPSSolve_KrylovSchur_Indefinite; | |
| 181 | 121 | eps->ops->computevectors = EPSComputeVectors_Indefinite; | |
| 182 |
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121 | PetscCall(DSSetType(eps->ds,DSGHIEP)); |
| 183 |
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121 | PetscCall(DSSetCompact(eps->ds,PETSC_TRUE)); |
| 184 |
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121 | PetscCall(DSSetExtraRow(eps->ds,PETSC_TRUE)); |
| 185 |
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121 | PetscCall(DSAllocate(eps->ds,eps->ncv+1)); |
| 186 | /* force reorthogonalization for pseudo-Lanczos */ | ||
| 187 |
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121 | PetscCall(BVGetOrthogonalization(eps->V,&otype,NULL,&eta,&obtype)); |
| 188 |
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121 | PetscCall(BVSetOrthogonalization(eps->V,otype,BV_ORTHOG_REFINE_ALWAYS,eta,obtype)); |
| 189 | break; | ||
| 190 | case EPS_KS_TWOSIDED: | ||
| 191 | 159 | eps->ops->solve = EPSSolve_KrylovSchur_TwoSided; | |
| 192 | 159 | eps->ops->computevectors = EPSComputeVectors_Schur; | |
| 193 |
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159 | PetscCall(DSSetType(eps->ds,DSNHEPTS)); |
| 194 |
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159 | PetscCall(DSAllocate(eps->ds,eps->ncv+1)); |
| 195 |
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159 | PetscCall(DSSetExtraRow(eps->ds,PETSC_TRUE)); |
| 196 | break; | ||
| 197 | 1287 | default: SETERRQ(PetscObjectComm((PetscObject)eps),PETSC_ERR_PLIB,"Unexpected error"); | |
| 198 | } | ||
| 199 |
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1287 | PetscFunctionReturn(PETSC_SUCCESS); |
| 200 | } | ||
| 201 | |||
| 202 | 7619 | static PetscErrorCode EPSSetUpSort_KrylovSchur(EPS eps) | |
| 203 | { | ||
| 204 | 7619 | EPS_KRYLOVSCHUR *ctx = (EPS_KRYLOVSCHUR*)eps->data; | |
| 205 | 7619 | SlepcSC sc; | |
| 206 | 7619 | PetscBool isfilt; | |
| 207 | |||
| 208 |
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7619 | PetscFunctionBegin; |
| 209 |
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7619 | PetscCall(EPSSetUpSort_Default(eps)); |
| 210 |
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7619 | if (eps->which==EPS_ALL) { |
| 211 |
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572 | PetscCall(PetscObjectTypeCompare((PetscObject)eps->st,STFILTER,&isfilt)); |
| 212 |
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572 | if (isfilt) { |
| 213 |
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178 | PetscCall(DSGetSlepcSC(eps->ds,&sc)); |
| 214 | 178 | sc->rg = NULL; | |
| 215 | 178 | sc->comparison = SlepcCompareLargestReal; | |
| 216 | 178 | sc->comparisonctx = NULL; | |
| 217 | 178 | sc->map = NULL; | |
| 218 | 178 | sc->mapobj = NULL; | |
| 219 | } else { | ||
| 220 |
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394 | if (!ctx->global && ctx->sr->numEigs>0) { |
| 221 |
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197 | PetscCall(DSGetSlepcSC(eps->ds,&sc)); |
| 222 | 197 | sc->rg = NULL; | |
| 223 | 197 | sc->comparison = SlepcCompareLargestMagnitude; | |
| 224 | 197 | sc->comparisonctx = NULL; | |
| 225 | 197 | sc->map = NULL; | |
| 226 | 197 | sc->mapobj = NULL; | |
| 227 | } | ||
| 228 | } | ||
| 229 | } | ||
| 230 |
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1423 | PetscFunctionReturn(PETSC_SUCCESS); |
| 231 | } | ||
| 232 | |||
| 233 | 6097 | PetscErrorCode EPSSolve_KrylovSchur_Default(EPS eps) | |
| 234 | { | ||
| 235 | 6097 | EPS_KRYLOVSCHUR *ctx = (EPS_KRYLOVSCHUR*)eps->data; | |
| 236 | 6097 | PetscInt i,j,*pj,k,l,nv,ld,nconv; | |
| 237 | 6097 | Mat U,Op,H,T; | |
| 238 | 6097 | PetscScalar *g; | |
| 239 | 6097 | PetscReal beta,gamma=1.0; | |
| 240 | 6097 | PetscBool breakdown,harmonic,hermitian; | |
| 241 | |||
| 242 |
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6097 | PetscFunctionBegin; |
| 243 |
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6097 | PetscCall(DSGetLeadingDimension(eps->ds,&ld)); |
| 244 | 6097 | harmonic = (eps->extraction==EPS_HARMONIC || eps->extraction==EPS_REFINED_HARMONIC)?PETSC_TRUE:PETSC_FALSE; | |
| 245 |
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6097 | hermitian = (eps->ishermitian && !harmonic)?PETSC_TRUE:PETSC_FALSE; |
| 246 |
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3258 | if (harmonic) PetscCall(PetscMalloc1(ld,&g)); |
| 247 |
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6097 | if (eps->arbitrary) pj = &j; |
| 248 | 6075 | else pj = NULL; | |
| 249 | |||
| 250 | /* Get the starting Arnoldi vector */ | ||
| 251 |
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6097 | PetscCall(EPSGetStartVector(eps,0,NULL)); |
| 252 | 6097 | l = 0; | |
| 253 | |||
| 254 | /* Restart loop */ | ||
| 255 | 6097 | while (eps->reason == EPS_CONVERGED_ITERATING) { | |
| 256 | 32771 | eps->its++; | |
| 257 | |||
| 258 | /* Compute an nv-step Arnoldi factorization */ | ||
| 259 | 32771 | nv = PetscMin(eps->nconv+eps->mpd,eps->ncv); | |
| 260 |
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32771 | PetscCall(DSSetDimensions(eps->ds,nv,eps->nconv,eps->nconv+l)); |
| 261 |
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32771 | PetscCall(STGetOperator(eps->st,&Op)); |
| 262 |
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32771 | if (hermitian) { |
| 263 |
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20496 | PetscCall(DSGetMat(eps->ds,DS_MAT_T,&T)); |
| 264 |
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20496 | PetscCall(BVMatLanczos(eps->V,Op,T,eps->nconv+l,&nv,&beta,&breakdown)); |
| 265 |
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20496 | PetscCall(DSRestoreMat(eps->ds,DS_MAT_T,&T)); |
| 266 | } else { | ||
| 267 |
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12275 | PetscCall(DSGetMat(eps->ds,DS_MAT_A,&H)); |
| 268 |
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12275 | PetscCall(BVMatArnoldi(eps->V,Op,H,eps->nconv+l,&nv,&beta,&breakdown)); |
| 269 |
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12275 | PetscCall(DSRestoreMat(eps->ds,DS_MAT_A,&H)); |
| 270 | } | ||
| 271 |
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32771 | PetscCall(STRestoreOperator(eps->st,&Op)); |
| 272 |
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32771 | PetscCall(DSSetDimensions(eps->ds,nv,eps->nconv,eps->nconv+l)); |
| 273 |
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32771 | PetscCall(DSSetState(eps->ds,l?DS_STATE_RAW:DS_STATE_INTERMEDIATE)); |
| 274 |
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32771 | PetscCall(BVSetActiveColumns(eps->V,eps->nconv,nv)); |
| 275 | |||
| 276 | /* Compute translation of Krylov decomposition if harmonic extraction used */ | ||
| 277 |
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32771 | if (PetscUnlikely(harmonic)) PetscCall(DSTranslateHarmonic(eps->ds,eps->target,beta,PETSC_FALSE,g,&gamma)); |
| 278 | |||
| 279 | /* Solve projected problem */ | ||
| 280 |
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32771 | PetscCall(DSSolve(eps->ds,eps->eigr,eps->eigi)); |
| 281 |
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32771 | if (PetscUnlikely(eps->arbitrary)) { |
| 282 |
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221 | PetscCall(EPSGetArbitraryValues(eps,eps->rr,eps->ri)); |
| 283 | 221 | j=1; | |
| 284 | } | ||
| 285 |
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32771 | PetscCall(DSSort(eps->ds,eps->eigr,eps->eigi,eps->rr,eps->ri,pj)); |
| 286 |
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32771 | PetscCall(DSUpdateExtraRow(eps->ds)); |
| 287 |
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32771 | PetscCall(DSSynchronize(eps->ds,eps->eigr,eps->eigi)); |
| 288 | |||
| 289 | /* Check convergence */ | ||
| 290 |
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32771 | PetscCall(EPSKrylovConvergence(eps,PETSC_FALSE,eps->nconv,nv-eps->nconv,beta,0.0,gamma,&k)); |
| 291 |
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32771 | EPSSetCtxThreshold(eps,eps->eigr,eps->eigi,eps->errest,k,nv); |
| 292 |
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32771 | PetscCall((*eps->stopping)(eps,eps->its,eps->max_it,k,eps->nev,&eps->reason,eps->stoppingctx)); |
| 293 | 32771 | nconv = k; | |
| 294 | |||
| 295 | /* Update l */ | ||
| 296 |
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32771 | if (eps->reason != EPS_CONVERGED_ITERATING || breakdown || k==nv) l = 0; |
| 297 | else { | ||
| 298 | 26674 | l = PetscMax(1,(PetscInt)((nv-k)*ctx->keep)); | |
| 299 |
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26674 | if (!hermitian) PetscCall(DSGetTruncateSize(eps->ds,k,nv,&l)); |
| 300 | } | ||
| 301 |
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32771 | if (!ctx->lock && l>0) { l += k; k = 0; } /* non-locking variant: reset no. of converged pairs */ |
| 302 |
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32771 | if (l) PetscCall(PetscInfo(eps,"Preparing to restart keeping l=%" PetscInt_FMT " vectors\n",l)); |
| 303 | |||
| 304 |
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32771 | if (eps->reason == EPS_CONVERGED_ITERATING) { |
| 305 |
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26674 | if (PetscUnlikely(breakdown || k==nv)) { |
| 306 | /* Start a new Arnoldi factorization */ | ||
| 307 | ✗ | PetscCall(PetscInfo(eps,"Breakdown in Krylov-Schur method (it=%" PetscInt_FMT " norm=%g)\n",eps->its,(double)beta)); | |
| 308 | ✗ | if (k<eps->nev) { | |
| 309 | ✗ | PetscCall(EPSGetStartVector(eps,k,&breakdown)); | |
| 310 | ✗ | if (breakdown) { | |
| 311 | ✗ | eps->reason = EPS_DIVERGED_BREAKDOWN; | |
| 312 | ✗ | PetscCall(PetscInfo(eps,"Unable to generate more start vectors\n")); | |
| 313 | } | ||
| 314 | } | ||
| 315 | } else { | ||
| 316 | /* Undo translation of Krylov decomposition */ | ||
| 317 |
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26674 | if (PetscUnlikely(harmonic)) { |
| 318 |
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273 | PetscCall(DSSetDimensions(eps->ds,nv,k,l)); |
| 319 |
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273 | PetscCall(DSTranslateHarmonic(eps->ds,0.0,beta,PETSC_TRUE,g,&gamma)); |
| 320 | /* gamma u^ = u - U*g~ */ | ||
| 321 |
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273 | PetscCall(BVSetActiveColumns(eps->V,0,nv)); |
| 322 |
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273 | PetscCall(BVMultColumn(eps->V,-1.0,1.0,nv,g)); |
| 323 |
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273 | PetscCall(BVScaleColumn(eps->V,nv,1.0/gamma)); |
| 324 |
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273 | PetscCall(BVSetActiveColumns(eps->V,eps->nconv,nv)); |
| 325 |
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273 | PetscCall(DSSetDimensions(eps->ds,nv,k,nv)); |
| 326 | } | ||
| 327 | /* Prepare the Rayleigh quotient for restart */ | ||
| 328 |
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26674 | PetscCall(DSTruncate(eps->ds,k+l,PETSC_FALSE)); |
| 329 | } | ||
| 330 | } | ||
| 331 | /* Update the corresponding vectors V(:,idx) = V*Q(:,idx) */ | ||
| 332 |
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32771 | PetscCall(DSGetMat(eps->ds,DS_MAT_Q,&U)); |
| 333 |
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32771 | PetscCall(BVMultInPlace(eps->V,U,eps->nconv,k+l)); |
| 334 |
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32771 | PetscCall(DSRestoreMat(eps->ds,DS_MAT_Q,&U)); |
| 335 | |||
| 336 |
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32771 | if (eps->reason == EPS_CONVERGED_ITERATING && !breakdown) { |
| 337 |
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26674 | PetscCall(BVCopyColumn(eps->V,nv,k+l)); /* copy restart vector from the last column */ |
| 338 |
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26674 | if (eps->stop==EPS_STOP_THRESHOLD && nv-k<5) { /* reallocate */ |
| 339 | 33 | eps->ncv = eps->mpd+k; | |
| 340 |
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33 | PetscCall(EPSReallocateSolution(eps,eps->ncv+1)); |
| 341 |
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309 | for (i=nv;i<eps->ncv;i++) eps->perm[i] = i; |
| 342 |
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33 | PetscCall(DSReallocate(eps->ds,eps->ncv+1)); |
| 343 |
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33 | PetscCall(DSGetLeadingDimension(eps->ds,&ld)); |
| 344 | } | ||
| 345 | } | ||
| 346 | |||
| 347 | 32771 | eps->nconv = k; | |
| 348 |
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38868 | PetscCall(EPSMonitor(eps,eps->its,nconv,eps->eigr,eps->eigi,eps->errest,nv)); |
| 349 | } | ||
| 350 | |||
| 351 |
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6097 | if (harmonic) PetscCall(PetscFree(g)); |
| 352 |
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6097 | PetscCall(DSTruncate(eps->ds,eps->nconv,PETSC_TRUE)); |
| 353 |
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1159 | PetscFunctionReturn(PETSC_SUCCESS); |
| 354 | } | ||
| 355 | |||
| 356 | 85 | static PetscErrorCode EPSKrylovSchurSetRestart_KrylovSchur(EPS eps,PetscReal keep) | |
| 357 | { | ||
| 358 | 85 | EPS_KRYLOVSCHUR *ctx = (EPS_KRYLOVSCHUR*)eps->data; | |
| 359 | |||
| 360 |
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85 | PetscFunctionBegin; |
| 361 |
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85 | if (keep==(PetscReal)PETSC_DEFAULT || keep==(PetscReal)PETSC_DECIDE) ctx->keep = 0.5; |
| 362 | else { | ||
| 363 |
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85 | 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); |
| 364 | 85 | ctx->keep = keep; | |
| 365 | } | ||
| 366 |
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13 | PetscFunctionReturn(PETSC_SUCCESS); |
| 367 | } | ||
| 368 | |||
| 369 | /*@ | ||
| 370 | EPSKrylovSchurSetRestart - Sets the restart parameter for the Krylov-Schur | ||
| 371 | method, in particular the proportion of basis vectors that must be kept | ||
| 372 | after restart. | ||
| 373 | |||
| 374 | Logically Collective | ||
| 375 | |||
| 376 | Input Parameters: | ||
| 377 | + eps - the linear eigensolver context | ||
| 378 | - keep - the number of vectors to be kept at restart | ||
| 379 | |||
| 380 | Options Database Key: | ||
| 381 | . -eps_krylovschur_restart keep - sets the restart parameter | ||
| 382 | |||
| 383 | Notes: | ||
| 384 | Allowed values are in the range [0.1,0.9]. The default is 0.5, which means | ||
| 385 | that at restart the current subspace is compressed into another subspace | ||
| 386 | with a reduction of 50% in size. | ||
| 387 | |||
| 388 | Implementation details of Krylov-Schur in SLEPc can be found in {cite:p}`Her07b`. | ||
| 389 | |||
| 390 | Level: advanced | ||
| 391 | |||
| 392 | .seealso: [](ch:eps), `EPSKRYLOVSCHUR`, `EPSKrylovSchurGetRestart()` | ||
| 393 | @*/ | ||
| 394 | 87 | PetscErrorCode EPSKrylovSchurSetRestart(EPS eps,PetscReal keep) | |
| 395 | { | ||
| 396 |
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87 | PetscFunctionBegin; |
| 397 |
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87 | PetscValidHeaderSpecific(eps,EPS_CLASSID,1); |
| 398 |
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87 | PetscValidLogicalCollectiveReal(eps,keep,2); |
| 399 |
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87 | PetscTryMethod(eps,"EPSKrylovSchurSetRestart_C",(EPS,PetscReal),(eps,keep)); |
| 400 |
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87 | PetscFunctionReturn(PETSC_SUCCESS); |
| 401 | } | ||
| 402 | |||
| 403 | 84 | static PetscErrorCode EPSKrylovSchurGetRestart_KrylovSchur(EPS eps,PetscReal *keep) | |
| 404 | { | ||
| 405 | 84 | EPS_KRYLOVSCHUR *ctx = (EPS_KRYLOVSCHUR*)eps->data; | |
| 406 | |||
| 407 |
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84 | PetscFunctionBegin; |
| 408 | 84 | *keep = ctx->keep; | |
| 409 |
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84 | PetscFunctionReturn(PETSC_SUCCESS); |
| 410 | } | ||
| 411 | |||
| 412 | /*@ | ||
| 413 | EPSKrylovSchurGetRestart - Gets the restart parameter used in the | ||
| 414 | Krylov-Schur method. | ||
| 415 | |||
| 416 | Not Collective | ||
| 417 | |||
| 418 | Input Parameter: | ||
| 419 | . eps - the linear eigensolver context | ||
| 420 | |||
| 421 | Output Parameter: | ||
| 422 | . keep - the restart parameter | ||
| 423 | |||
| 424 | Level: advanced | ||
| 425 | |||
| 426 | .seealso: [](ch:eps), `EPSKRYLOVSCHUR`, `EPSKrylovSchurSetRestart()` | ||
| 427 | @*/ | ||
| 428 | 84 | PetscErrorCode EPSKrylovSchurGetRestart(EPS eps,PetscReal *keep) | |
| 429 | { | ||
| 430 |
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84 | PetscFunctionBegin; |
| 431 |
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84 | PetscValidHeaderSpecific(eps,EPS_CLASSID,1); |
| 432 |
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84 | PetscAssertPointer(keep,2); |
| 433 |
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84 | PetscUseMethod(eps,"EPSKrylovSchurGetRestart_C",(EPS,PetscReal*),(eps,keep)); |
| 434 |
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84 | PetscFunctionReturn(PETSC_SUCCESS); |
| 435 | } | ||
| 436 | |||
| 437 | 419 | static PetscErrorCode EPSKrylovSchurSetLocking_KrylovSchur(EPS eps,PetscBool lock) | |
| 438 | { | ||
| 439 | 419 | EPS_KRYLOVSCHUR *ctx = (EPS_KRYLOVSCHUR*)eps->data; | |
| 440 | |||
| 441 |
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419 | PetscFunctionBegin; |
| 442 | 419 | ctx->lock = lock; | |
| 443 |
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419 | PetscFunctionReturn(PETSC_SUCCESS); |
| 444 | } | ||
| 445 | |||
| 446 | /*@ | ||
| 447 | EPSKrylovSchurSetLocking - Choose between locking and non-locking variants of | ||
| 448 | the Krylov-Schur method. | ||
| 449 | |||
| 450 | Logically Collective | ||
| 451 | |||
| 452 | Input Parameters: | ||
| 453 | + eps - the linear eigensolver context | ||
| 454 | - lock - true if the locking variant must be selected | ||
| 455 | |||
| 456 | Options Database Key: | ||
| 457 | . -eps_krylovschur_locking (true|false) - sets the locking flag | ||
| 458 | |||
| 459 | Notes: | ||
| 460 | The default is to lock converged eigenpairs when the method restarts. | ||
| 461 | This behavior can be changed so that all directions are kept in the | ||
| 462 | working subspace even if already converged to working accuracy (the | ||
| 463 | non-locking variant). | ||
| 464 | |||
| 465 | Implementation details of Krylov-Schur in SLEPc can be found in {cite:p}`Her07b`. | ||
| 466 | |||
| 467 | Level: advanced | ||
| 468 | |||
| 469 | .seealso: [](ch:eps), `EPSKRYLOVSCHUR`, `EPSKrylovSchurGetLocking()` | ||
| 470 | @*/ | ||
| 471 | 419 | PetscErrorCode EPSKrylovSchurSetLocking(EPS eps,PetscBool lock) | |
| 472 | { | ||
| 473 |
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419 | PetscFunctionBegin; |
| 474 |
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419 | PetscValidHeaderSpecific(eps,EPS_CLASSID,1); |
| 475 |
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419 | PetscValidLogicalCollectiveBool(eps,lock,2); |
| 476 |
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419 | PetscTryMethod(eps,"EPSKrylovSchurSetLocking_C",(EPS,PetscBool),(eps,lock)); |
| 477 |
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419 | PetscFunctionReturn(PETSC_SUCCESS); |
| 478 | } | ||
| 479 | |||
| 480 | 84 | static PetscErrorCode EPSKrylovSchurGetLocking_KrylovSchur(EPS eps,PetscBool *lock) | |
| 481 | { | ||
| 482 | 84 | EPS_KRYLOVSCHUR *ctx = (EPS_KRYLOVSCHUR*)eps->data; | |
| 483 | |||
| 484 |
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84 | PetscFunctionBegin; |
| 485 | 84 | *lock = ctx->lock; | |
| 486 |
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84 | PetscFunctionReturn(PETSC_SUCCESS); |
| 487 | } | ||
| 488 | |||
| 489 | /*@ | ||
| 490 | EPSKrylovSchurGetLocking - Gets the locking flag used in the Krylov-Schur | ||
| 491 | method. | ||
| 492 | |||
| 493 | Not Collective | ||
| 494 | |||
| 495 | Input Parameter: | ||
| 496 | . eps - the linear eigensolver context | ||
| 497 | |||
| 498 | Output Parameter: | ||
| 499 | . lock - the locking flag | ||
| 500 | |||
| 501 | Level: advanced | ||
| 502 | |||
| 503 | .seealso: [](ch:eps), `EPSKRYLOVSCHUR`, `EPSKrylovSchurSetLocking()` | ||
| 504 | @*/ | ||
| 505 | 84 | PetscErrorCode EPSKrylovSchurGetLocking(EPS eps,PetscBool *lock) | |
| 506 | { | ||
| 507 |
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84 | PetscFunctionBegin; |
| 508 |
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84 | PetscValidHeaderSpecific(eps,EPS_CLASSID,1); |
| 509 |
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84 | PetscAssertPointer(lock,2); |
| 510 |
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84 | PetscUseMethod(eps,"EPSKrylovSchurGetLocking_C",(EPS,PetscBool*),(eps,lock)); |
| 511 |
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84 | PetscFunctionReturn(PETSC_SUCCESS); |
| 512 | } | ||
| 513 | |||
| 514 | 77 | static PetscErrorCode EPSKrylovSchurSetPartitions_KrylovSchur(EPS eps,PetscInt npart) | |
| 515 | { | ||
| 516 | 77 | EPS_KRYLOVSCHUR *ctx = (EPS_KRYLOVSCHUR*)eps->data; | |
| 517 | 77 | PetscMPIInt size; | |
| 518 | 77 | PetscInt newnpart; | |
| 519 | |||
| 520 |
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77 | PetscFunctionBegin; |
| 521 |
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77 | if (npart == PETSC_DEFAULT || npart == PETSC_DECIDE) { |
| 522 | newnpart = 1; | ||
| 523 | } else { | ||
| 524 |
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77 | PetscCallMPI(MPI_Comm_size(PetscObjectComm((PetscObject)eps),&size)); |
| 525 |
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77 | PetscCheck(npart>0 && npart<=size,PetscObjectComm((PetscObject)eps),PETSC_ERR_ARG_OUTOFRANGE,"Illegal value of npart"); |
| 526 | newnpart = npart; | ||
| 527 | } | ||
| 528 |
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77 | if (ctx->npart!=newnpart) { |
| 529 |
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77 | if (ctx->npart>1) { |
| 530 | ✗ | PetscCall(PetscSubcommDestroy(&ctx->subc)); | |
| 531 | ✗ | if (ctx->commset) { | |
| 532 | ✗ | PetscCallMPI(MPI_Comm_free(&ctx->commrank)); | |
| 533 | ✗ | ctx->commset = PETSC_FALSE; | |
| 534 | } | ||
| 535 | } | ||
| 536 |
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77 | PetscCall(EPSDestroy(&ctx->eps)); |
| 537 | 77 | ctx->npart = newnpart; | |
| 538 | 77 | eps->state = EPS_STATE_INITIAL; | |
| 539 | } | ||
| 540 |
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|
10 | PetscFunctionReturn(PETSC_SUCCESS); |
| 541 | } | ||
| 542 | |||
| 543 | /*@ | ||
| 544 | EPSKrylovSchurSetPartitions - Sets the number of partitions for the | ||
| 545 | case of doing spectrum slicing for a computational interval with the | ||
| 546 | communicator split in several sub-communicators. | ||
| 547 | |||
| 548 | Logically Collective | ||
| 549 | |||
| 550 | Input Parameters: | ||
| 551 | + eps - the linear eigensolver context | ||
| 552 | - npart - number of partitions | ||
| 553 | |||
| 554 | Options Database Key: | ||
| 555 | . -eps_krylovschur_partitions npart - sets the number of partitions | ||
| 556 | |||
| 557 | Notes: | ||
| 558 | This call makes sense only for spectrum slicing runs, that is, when | ||
| 559 | an interval has been given with `EPSSetInterval()` and `STSINVERT` is set. | ||
| 560 | See more details in section [](#sec:slice). | ||
| 561 | |||
| 562 | By default, `npart`=1 so all processes in the communicator participate in | ||
| 563 | the processing of the whole interval. If `npart`>1 then the interval is | ||
| 564 | divided into `npart` subintervals, each of them being processed by a | ||
| 565 | subset of processes. | ||
| 566 | |||
| 567 | The interval is split proportionally unless the separation points are | ||
| 568 | specified with `EPSKrylovSchurSetSubintervals()`. | ||
| 569 | |||
| 570 | Level: advanced | ||
| 571 | |||
| 572 | .seealso: [](ch:eps), [](#sec:slice), `EPSKRYLOVSCHUR`, `EPSKrylovSchurSetSubintervals()`, `EPSSetInterval()` | ||
| 573 | @*/ | ||
| 574 | 77 | PetscErrorCode EPSKrylovSchurSetPartitions(EPS eps,PetscInt npart) | |
| 575 | { | ||
| 576 |
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77 | PetscFunctionBegin; |
| 577 |
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77 | PetscValidHeaderSpecific(eps,EPS_CLASSID,1); |
| 578 |
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77 | PetscValidLogicalCollectiveInt(eps,npart,2); |
| 579 |
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77 | PetscTryMethod(eps,"EPSKrylovSchurSetPartitions_C",(EPS,PetscInt),(eps,npart)); |
| 580 |
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77 | PetscFunctionReturn(PETSC_SUCCESS); |
| 581 | } | ||
| 582 | |||
| 583 | 44 | static PetscErrorCode EPSKrylovSchurGetPartitions_KrylovSchur(EPS eps,PetscInt *npart) | |
| 584 | { | ||
| 585 | 44 | EPS_KRYLOVSCHUR *ctx = (EPS_KRYLOVSCHUR*)eps->data; | |
| 586 | |||
| 587 |
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44 | PetscFunctionBegin; |
| 588 | 44 | *npart = ctx->npart; | |
| 589 |
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44 | PetscFunctionReturn(PETSC_SUCCESS); |
| 590 | } | ||
| 591 | |||
| 592 | /*@ | ||
| 593 | EPSKrylovSchurGetPartitions - Gets the number of partitions of the | ||
| 594 | communicator in case of spectrum slicing. | ||
| 595 | |||
| 596 | Not Collective | ||
| 597 | |||
| 598 | Input Parameter: | ||
| 599 | . eps - the linear eigensolver context | ||
| 600 | |||
| 601 | Output Parameter: | ||
| 602 | . npart - number of partitions | ||
| 603 | |||
| 604 | Level: advanced | ||
| 605 | |||
| 606 | .seealso: [](ch:eps), `EPSKRYLOVSCHUR`, `EPSKrylovSchurSetPartitions()` | ||
| 607 | @*/ | ||
| 608 | 44 | PetscErrorCode EPSKrylovSchurGetPartitions(EPS eps,PetscInt *npart) | |
| 609 | { | ||
| 610 |
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44 | PetscFunctionBegin; |
| 611 |
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44 | PetscValidHeaderSpecific(eps,EPS_CLASSID,1); |
| 612 |
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44 | PetscAssertPointer(npart,2); |
| 613 |
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44 | PetscUseMethod(eps,"EPSKrylovSchurGetPartitions_C",(EPS,PetscInt*),(eps,npart)); |
| 614 |
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44 | PetscFunctionReturn(PETSC_SUCCESS); |
| 615 | } | ||
| 616 | |||
| 617 | 32 | static PetscErrorCode EPSKrylovSchurSetDetectZeros_KrylovSchur(EPS eps,PetscBool detect) | |
| 618 | { | ||
| 619 | 32 | EPS_KRYLOVSCHUR *ctx = (EPS_KRYLOVSCHUR*)eps->data; | |
| 620 | |||
| 621 |
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32 | PetscFunctionBegin; |
| 622 | 32 | ctx->detect = detect; | |
| 623 | 32 | eps->state = EPS_STATE_INITIAL; | |
| 624 |
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32 | PetscFunctionReturn(PETSC_SUCCESS); |
| 625 | } | ||
| 626 | |||
| 627 | /*@ | ||
| 628 | EPSKrylovSchurSetDetectZeros - Sets a flag to enforce detection of | ||
| 629 | zeros during the factorizations throughout the spectrum slicing computation. | ||
| 630 | |||
| 631 | Logically Collective | ||
| 632 | |||
| 633 | Input Parameters: | ||
| 634 | + eps - the linear eigensolver context | ||
| 635 | - detect - check for zeros | ||
| 636 | |||
| 637 | Options Database Key: | ||
| 638 | . -eps_krylovschur_detect_zeros (true|false) - check for zeros | ||
| 639 | |||
| 640 | Notes: | ||
| 641 | This flag makes sense only for spectrum slicing runs, that is, when | ||
| 642 | an interval has been given with `EPSSetInterval()` and `STSINVERT` is set. | ||
| 643 | See more details in section [](#sec:slice). | ||
| 644 | |||
| 645 | A zero in the factorization indicates that a shift coincides with an eigenvalue. | ||
| 646 | |||
| 647 | This flag is turned off by default, and may be necessary in some cases, | ||
| 648 | especially when several partitions are being used. This feature currently | ||
| 649 | requires an external package for factorizations with support for zero | ||
| 650 | detection, e.g. MUMPS. | ||
| 651 | |||
| 652 | Level: advanced | ||
| 653 | |||
| 654 | .seealso: [](ch:eps), [](#sec:slice), `EPSKRYLOVSCHUR`, `EPSKrylovSchurSetPartitions()`, `EPSSetInterval()` | ||
| 655 | @*/ | ||
| 656 | 32 | PetscErrorCode EPSKrylovSchurSetDetectZeros(EPS eps,PetscBool detect) | |
| 657 | { | ||
| 658 |
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32 | PetscFunctionBegin; |
| 659 |
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32 | PetscValidHeaderSpecific(eps,EPS_CLASSID,1); |
| 660 |
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32 | PetscValidLogicalCollectiveBool(eps,detect,2); |
| 661 |
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32 | PetscTryMethod(eps,"EPSKrylovSchurSetDetectZeros_C",(EPS,PetscBool),(eps,detect)); |
| 662 |
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32 | PetscFunctionReturn(PETSC_SUCCESS); |
| 663 | } | ||
| 664 | |||
| 665 | 60 | static PetscErrorCode EPSKrylovSchurGetDetectZeros_KrylovSchur(EPS eps,PetscBool *detect) | |
| 666 | { | ||
| 667 | 60 | EPS_KRYLOVSCHUR *ctx = (EPS_KRYLOVSCHUR*)eps->data; | |
| 668 | |||
| 669 |
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60 | PetscFunctionBegin; |
| 670 | 60 | *detect = ctx->detect; | |
| 671 |
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60 | PetscFunctionReturn(PETSC_SUCCESS); |
| 672 | } | ||
| 673 | |||
| 674 | /*@ | ||
| 675 | EPSKrylovSchurGetDetectZeros - Gets the flag that enforces zero detection | ||
| 676 | in spectrum slicing. | ||
| 677 | |||
| 678 | Not Collective | ||
| 679 | |||
| 680 | Input Parameter: | ||
| 681 | . eps - the linear eigensolver context | ||
| 682 | |||
| 683 | Output Parameter: | ||
| 684 | . detect - whether zeros detection is enforced during factorizations | ||
| 685 | |||
| 686 | Level: advanced | ||
| 687 | |||
| 688 | .seealso: [](ch:eps), `EPSKRYLOVSCHUR`, `EPSKrylovSchurSetDetectZeros()` | ||
| 689 | @*/ | ||
| 690 | 60 | PetscErrorCode EPSKrylovSchurGetDetectZeros(EPS eps,PetscBool *detect) | |
| 691 | { | ||
| 692 |
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60 | PetscFunctionBegin; |
| 693 |
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60 | PetscValidHeaderSpecific(eps,EPS_CLASSID,1); |
| 694 |
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60 | PetscAssertPointer(detect,2); |
| 695 |
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60 | PetscUseMethod(eps,"EPSKrylovSchurGetDetectZeros_C",(EPS,PetscBool*),(eps,detect)); |
| 696 |
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60 | PetscFunctionReturn(PETSC_SUCCESS); |
| 697 | } | ||
| 698 | |||
| 699 | 42 | static PetscErrorCode EPSKrylovSchurSetDimensions_KrylovSchur(EPS eps,PetscInt nev,PetscInt ncv,PetscInt mpd) | |
| 700 | { | ||
| 701 | 42 | EPS_KRYLOVSCHUR *ctx = (EPS_KRYLOVSCHUR*)eps->data; | |
| 702 | |||
| 703 |
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42 | PetscFunctionBegin; |
| 704 |
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42 | if (nev != PETSC_CURRENT) { |
| 705 |
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42 | PetscCheck(nev>0,PetscObjectComm((PetscObject)eps),PETSC_ERR_ARG_OUTOFRANGE,"Illegal value of nev. Must be > 0"); |
| 706 | 42 | ctx->nev = nev; | |
| 707 | } | ||
| 708 |
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42 | if (ncv == PETSC_DETERMINE) { |
| 709 | ✗ | ctx->ncv = PETSC_DETERMINE; | |
| 710 |
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42 | } else if (ncv != PETSC_CURRENT) { |
| 711 |
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42 | PetscCheck(ncv>0,PetscObjectComm((PetscObject)eps),PETSC_ERR_ARG_OUTOFRANGE,"Illegal value of ncv. Must be > 0"); |
| 712 | 42 | ctx->ncv = ncv; | |
| 713 | } | ||
| 714 |
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42 | if (mpd == PETSC_DETERMINE) { |
| 715 | ✗ | ctx->mpd = PETSC_DETERMINE; | |
| 716 |
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42 | } else if (mpd != PETSC_CURRENT) { |
| 717 |
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42 | PetscCheck(mpd>0,PetscObjectComm((PetscObject)eps),PETSC_ERR_ARG_OUTOFRANGE,"Illegal value of mpd. Must be > 0"); |
| 718 | 42 | ctx->mpd = mpd; | |
| 719 | } | ||
| 720 | 42 | eps->state = EPS_STATE_INITIAL; | |
| 721 |
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|
42 | PetscFunctionReturn(PETSC_SUCCESS); |
| 722 | } | ||
| 723 | |||
| 724 | /*@ | ||
| 725 | EPSKrylovSchurSetDimensions - Sets the dimensions used for each subsolve | ||
| 726 | step in case of doing spectrum slicing for a computational interval. | ||
| 727 | |||
| 728 | Logically Collective | ||
| 729 | |||
| 730 | Input Parameters: | ||
| 731 | + eps - the linear eigensolver context | ||
| 732 | . nev - number of eigenvalues to compute | ||
| 733 | . ncv - the maximum dimension of the subspace to be used by the subsolve | ||
| 734 | - mpd - the maximum dimension allowed for the projected problem | ||
| 735 | |||
| 736 | Options Database Keys: | ||
| 737 | + -eps_krylovschur_nev nev - sets the number of eigenvalues | ||
| 738 | . -eps_krylovschur_ncv ncv - sets the dimension of the subspace | ||
| 739 | - -eps_krylovschur_mpd mpd - sets the maximum projected dimension | ||
| 740 | |||
| 741 | Notes: | ||
| 742 | These parameters are relevant only for spectrum slicing runs, that is, when | ||
| 743 | an interval has been given with `EPSSetInterval()` and `STSINVERT` is set. | ||
| 744 | See more details in section [](#sec:slice). | ||
| 745 | |||
| 746 | The meaning of the parameters is the same as in `EPSSetDimensions()`, but | ||
| 747 | the ones here apply to every subsolve done by the child `EPS` object. | ||
| 748 | |||
| 749 | Use `PETSC_DETERMINE` for `ncv` and `mpd` to assign a default value. For any | ||
| 750 | of the arguments, use `PETSC_CURRENT` to preserve the current value. | ||
| 751 | |||
| 752 | Level: advanced | ||
| 753 | |||
| 754 | .seealso: [](ch:eps), [](#sec:slice), `EPSKRYLOVSCHUR`, `EPSKrylovSchurGetDimensions()`, `EPSSetDimensions()`, `EPSSetInterval()` | ||
| 755 | @*/ | ||
| 756 | 42 | PetscErrorCode EPSKrylovSchurSetDimensions(EPS eps,PetscInt nev,PetscInt ncv,PetscInt mpd) | |
| 757 | { | ||
| 758 |
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42 | PetscFunctionBegin; |
| 759 |
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42 | PetscValidHeaderSpecific(eps,EPS_CLASSID,1); |
| 760 |
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|
42 | PetscValidLogicalCollectiveInt(eps,nev,2); |
| 761 |
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|
42 | PetscValidLogicalCollectiveInt(eps,ncv,3); |
| 762 |
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|
42 | PetscValidLogicalCollectiveInt(eps,mpd,4); |
| 763 |
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|
42 | PetscTryMethod(eps,"EPSKrylovSchurSetDimensions_C",(EPS,PetscInt,PetscInt,PetscInt),(eps,nev,ncv,mpd)); |
| 764 |
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|
42 | PetscFunctionReturn(PETSC_SUCCESS); |
| 765 | } | ||
| 766 | |||
| 767 | 84 | static PetscErrorCode EPSKrylovSchurGetDimensions_KrylovSchur(EPS eps,PetscInt *nev,PetscInt *ncv,PetscInt *mpd) | |
| 768 | { | ||
| 769 | 84 | EPS_KRYLOVSCHUR *ctx = (EPS_KRYLOVSCHUR*)eps->data; | |
| 770 | |||
| 771 |
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84 | PetscFunctionBegin; |
| 772 |
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84 | if (nev) *nev = ctx->nev; |
| 773 |
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84 | if (ncv) *ncv = ctx->ncv; |
| 774 |
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84 | if (mpd) *mpd = ctx->mpd; |
| 775 |
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84 | PetscFunctionReturn(PETSC_SUCCESS); |
| 776 | } | ||
| 777 | |||
| 778 | /*@ | ||
| 779 | EPSKrylovSchurGetDimensions - Gets the dimensions used for each subsolve | ||
| 780 | step in case of doing spectrum slicing for a computational interval. | ||
| 781 | |||
| 782 | Not Collective | ||
| 783 | |||
| 784 | Input Parameter: | ||
| 785 | . eps - the linear eigensolver context | ||
| 786 | |||
| 787 | Output Parameters: | ||
| 788 | + nev - number of eigenvalues to compute | ||
| 789 | . ncv - the maximum dimension of the subspace to be used by the subsolve | ||
| 790 | - mpd - the maximum dimension allowed for the projected problem | ||
| 791 | |||
| 792 | Level: advanced | ||
| 793 | |||
| 794 | .seealso: [](ch:eps), `EPSKRYLOVSCHUR`, `EPSKrylovSchurSetDimensions()` | ||
| 795 | @*/ | ||
| 796 | 84 | PetscErrorCode EPSKrylovSchurGetDimensions(EPS eps,PetscInt *nev,PetscInt *ncv,PetscInt *mpd) | |
| 797 | { | ||
| 798 |
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84 | PetscFunctionBegin; |
| 799 |
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84 | PetscValidHeaderSpecific(eps,EPS_CLASSID,1); |
| 800 |
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|
84 | PetscUseMethod(eps,"EPSKrylovSchurGetDimensions_C",(EPS,PetscInt*,PetscInt*,PetscInt*),(eps,nev,ncv,mpd)); |
| 801 |
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|
84 | PetscFunctionReturn(PETSC_SUCCESS); |
| 802 | } | ||
| 803 | |||
| 804 | 32 | static PetscErrorCode EPSKrylovSchurSetSubintervals_KrylovSchur(EPS eps,PetscReal* subint) | |
| 805 | { | ||
| 806 | 32 | EPS_KRYLOVSCHUR *ctx = (EPS_KRYLOVSCHUR*)eps->data; | |
| 807 | 32 | PetscInt i; | |
| 808 | |||
| 809 |
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32 | PetscFunctionBegin; |
| 810 |
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32 | 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()"); |
| 811 |
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|
96 | 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"); |
| 812 |
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32 | PetscCall(PetscFree(ctx->subintervals)); |
| 813 |
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32 | PetscCall(PetscMalloc1(ctx->npart+1,&ctx->subintervals)); |
| 814 |
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|
128 | for (i=0;i<ctx->npart+1;i++) ctx->subintervals[i] = subint[i]; |
| 815 | 32 | ctx->subintset = PETSC_TRUE; | |
| 816 | 32 | eps->state = EPS_STATE_INITIAL; | |
| 817 |
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32 | PetscFunctionReturn(PETSC_SUCCESS); |
| 818 | } | ||
| 819 | |||
| 820 | /*@ | ||
| 821 | EPSKrylovSchurSetSubintervals - Sets the points that delimit the | ||
| 822 | subintervals to be used in spectrum slicing with several partitions. | ||
| 823 | |||
| 824 | Logically Collective | ||
| 825 | |||
| 826 | Input Parameters: | ||
| 827 | + eps - the linear eigensolver context | ||
| 828 | - subint - array of real values specifying subintervals | ||
| 829 | |||
| 830 | Notes: | ||
| 831 | This function is relevant only for spectrum slicing runs, that is, when | ||
| 832 | an interval has been given with `EPSSetInterval()` and `STSINVERT` is set. | ||
| 833 | See more details in section [](#sec:slice). | ||
| 834 | |||
| 835 | It must be called after `EPSKrylovSchurSetPartitions()`. For `npart` | ||
| 836 | partitions, the argument `subint` must contain `npart+1` real values sorted in | ||
| 837 | ascending order, `subint_0, subint_1, ..., subint_npart`, where the first | ||
| 838 | and last values must coincide with the interval endpoints set with | ||
| 839 | `EPSSetInterval()`. | ||
| 840 | |||
| 841 | The subintervals are then defined by two consecutive points `[subint_0,subint_1]`, | ||
| 842 | `[subint_1,subint_2]`, and so on. | ||
| 843 | |||
| 844 | Level: advanced | ||
| 845 | |||
| 846 | .seealso: [](ch:eps), [](#sec:slice), `EPSKRYLOVSCHUR`, `EPSKrylovSchurSetPartitions()`, `EPSKrylovSchurGetSubintervals()`, `EPSSetInterval()` | ||
| 847 | @*/ | ||
| 848 | 32 | PetscErrorCode EPSKrylovSchurSetSubintervals(EPS eps,PetscReal subint[]) | |
| 849 | { | ||
| 850 |
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32 | PetscFunctionBegin; |
| 851 |
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32 | PetscValidHeaderSpecific(eps,EPS_CLASSID,1); |
| 852 |
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32 | PetscAssertPointer(subint,2); |
| 853 |
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32 | PetscTryMethod(eps,"EPSKrylovSchurSetSubintervals_C",(EPS,PetscReal*),(eps,subint)); |
| 854 |
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|
32 | PetscFunctionReturn(PETSC_SUCCESS); |
| 855 | } | ||
| 856 | |||
| 857 | 32 | static PetscErrorCode EPSKrylovSchurGetSubintervals_KrylovSchur(EPS eps,PetscReal *subint[]) | |
| 858 | { | ||
| 859 | 32 | EPS_KRYLOVSCHUR *ctx = (EPS_KRYLOVSCHUR*)eps->data; | |
| 860 | 32 | PetscInt i; | |
| 861 | |||
| 862 |
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32 | PetscFunctionBegin; |
| 863 |
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|
32 | if (!ctx->subintset) { |
| 864 | ✗ | PetscCheck(eps->state,PetscObjectComm((PetscObject)eps),PETSC_ERR_ARG_WRONGSTATE,"Must call EPSSetUp() first"); | |
| 865 | ✗ | PetscCheck(ctx->sr,PetscObjectComm((PetscObject)eps),PETSC_ERR_ARG_WRONGSTATE,"Only available in interval computations, see EPSSetInterval()"); | |
| 866 | } | ||
| 867 |
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32 | PetscCall(PetscMalloc1(ctx->npart+1,subint)); |
| 868 |
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128 | for (i=0;i<=ctx->npart;i++) (*subint)[i] = ctx->subintervals[i]; |
| 869 |
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|
4 | PetscFunctionReturn(PETSC_SUCCESS); |
| 870 | } | ||
| 871 | |||
| 872 | /*@ | ||
| 873 | EPSKrylovSchurGetSubintervals - Returns the points that delimit the | ||
| 874 | subintervals used in spectrum slicing with several partitions. | ||
| 875 | |||
| 876 | Not Collective | ||
| 877 | |||
| 878 | Input Parameter: | ||
| 879 | . eps - the linear eigensolver context | ||
| 880 | |||
| 881 | Output Parameter: | ||
| 882 | . subint - array of real values specifying subintervals | ||
| 883 | |||
| 884 | Notes: | ||
| 885 | If the user passed values with `EPSKrylovSchurSetSubintervals()`, then the | ||
| 886 | same values are returned here. Otherwise, the values computed internally are | ||
| 887 | obtained. | ||
| 888 | |||
| 889 | This function is only available for spectrum slicing runs, that is, when | ||
| 890 | an interval has been given with `EPSSetInterval()` and `STSINVERT` is set. | ||
| 891 | See more details in section [](#sec:slice). | ||
| 892 | |||
| 893 | The returned array has length `npart`+1 (see `EPSKrylovSchurGetPartitions()`) | ||
| 894 | and should be freed by the user. | ||
| 895 | |||
| 896 | Fortran Notes: | ||
| 897 | The calling sequence from Fortran is | ||
| 898 | .vb | ||
| 899 | EPSKrylovSchurGetSubintervals(eps,subint,ierr) | ||
| 900 | PetscReal subint(npart+1) | ||
| 901 | .ve | ||
| 902 | |||
| 903 | Level: advanced | ||
| 904 | |||
| 905 | .seealso: [](ch:eps), [](#sec:slice), `EPSKRYLOVSCHUR`, `EPSKrylovSchurSetSubintervals()`, `EPSKrylovSchurGetPartitions()`, `EPSSetInterval()` | ||
| 906 | @*/ | ||
| 907 | 32 | PetscErrorCode EPSKrylovSchurGetSubintervals(EPS eps,PetscReal *subint[]) PeNS | |
| 908 | { | ||
| 909 |
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32 | PetscFunctionBegin; |
| 910 |
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32 | PetscValidHeaderSpecific(eps,EPS_CLASSID,1); |
| 911 |
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32 | PetscAssertPointer(subint,2); |
| 912 |
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|
32 | PetscUseMethod(eps,"EPSKrylovSchurGetSubintervals_C",(EPS,PetscReal**),(eps,subint)); |
| 913 |
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|
32 | PetscFunctionReturn(PETSC_SUCCESS); |
| 914 | } | ||
| 915 | |||
| 916 | 74 | static PetscErrorCode EPSKrylovSchurGetInertias_KrylovSchur(EPS eps,PetscInt *n,PetscReal *shifts[],PetscInt *inertias[]) | |
| 917 | { | ||
| 918 | 74 | EPS_KRYLOVSCHUR *ctx = (EPS_KRYLOVSCHUR*)eps->data; | |
| 919 | 74 | PetscInt i,numsh; | |
| 920 | 74 | EPS_SR sr = ctx->sr; | |
| 921 | |||
| 922 |
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74 | PetscFunctionBegin; |
| 923 |
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74 | PetscCheck(eps->state,PetscObjectComm((PetscObject)eps),PETSC_ERR_ARG_WRONGSTATE,"Must call EPSSetUp() first"); |
| 924 |
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74 | PetscCheck(ctx->sr,PetscObjectComm((PetscObject)eps),PETSC_ERR_ARG_WRONGSTATE,"Only available in interval computations, see EPSSetInterval()"); |
| 925 |
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74 | switch (eps->state) { |
| 926 | case EPS_STATE_INITIAL: | ||
| 927 | break; | ||
| 928 | 64 | case EPS_STATE_SETUP: | |
| 929 | 64 | numsh = ctx->npart+1; | |
| 930 |
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64 | if (n) *n = numsh; |
| 931 |
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64 | if (shifts) { |
| 932 |
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64 | PetscCall(PetscMalloc1(numsh,shifts)); |
| 933 | 64 | (*shifts)[0] = eps->inta; | |
| 934 |
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64 | if (ctx->npart==1) (*shifts)[1] = eps->intb; |
| 935 |
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|
132 | else for (i=1;i<numsh;i++) (*shifts)[i] = ctx->subintervals[i]; |
| 936 | } | ||
| 937 |
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64 | if (inertias) { |
| 938 |
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64 | PetscCall(PetscMalloc1(numsh,inertias)); |
| 939 |
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64 | (*inertias)[0] = (sr->dir==1)?sr->inertia0:sr->inertia1; |
| 940 |
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64 | if (ctx->npart==1) (*inertias)[1] = (sr->dir==1)?sr->inertia1:sr->inertia0; |
| 941 |
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|
132 | else for (i=1;i<numsh;i++) (*inertias)[i] = (*inertias)[i-1]+ctx->nconv_loc[i-1]; |
| 942 | } | ||
| 943 | break; | ||
| 944 | 10 | case EPS_STATE_SOLVED: | |
| 945 | case EPS_STATE_EIGENVECTORS: | ||
| 946 | 10 | numsh = ctx->nshifts; | |
| 947 |
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10 | if (n) *n = numsh; |
| 948 |
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10 | if (shifts) { |
| 949 |
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10 | PetscCall(PetscMalloc1(numsh,shifts)); |
| 950 |
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30 | for (i=0;i<numsh;i++) (*shifts)[i] = ctx->shifts[i]; |
| 951 | } | ||
| 952 |
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10 | if (inertias) { |
| 953 |
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10 | PetscCall(PetscMalloc1(numsh,inertias)); |
| 954 |
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30 | for (i=0;i<numsh;i++) (*inertias)[i] = ctx->inertias[i]; |
| 955 | } | ||
| 956 | break; | ||
| 957 | } | ||
| 958 |
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|
10 | PetscFunctionReturn(PETSC_SUCCESS); |
| 959 | } | ||
| 960 | |||
| 961 | /*@ | ||
| 962 | EPSKrylovSchurGetInertias - Gets the values of the shifts and their | ||
| 963 | corresponding inertias in case of doing spectrum slicing for a | ||
| 964 | computational interval. | ||
| 965 | |||
| 966 | Not Collective | ||
| 967 | |||
| 968 | Input Parameter: | ||
| 969 | . eps - the linear eigensolver context | ||
| 970 | |||
| 971 | Output Parameters: | ||
| 972 | + n - number of shifts, including the endpoints of the interval | ||
| 973 | . shifts - the values of the shifts used internally in the solver | ||
| 974 | - inertias - the values of the inertia at each shift | ||
| 975 | |||
| 976 | Notes: | ||
| 977 | If called after `EPSSolve()`, all shifts used internally by the solver are | ||
| 978 | returned (including both endpoints and any intermediate ones). If called | ||
| 979 | before `EPSSolve()` and after `EPSSetUp()` then only the information of the | ||
| 980 | endpoints of subintervals is available. | ||
| 981 | |||
| 982 | This function is only available for spectrum slicing runs, that is, when | ||
| 983 | an interval has been given with `EPSSetInterval()` and `STSINVERT` is set. | ||
| 984 | See more details in section [](#sec:slice). | ||
| 985 | |||
| 986 | The returned arrays should be freed by the user. Can pass `NULL` in any of | ||
| 987 | the two arrays if not required. | ||
| 988 | |||
| 989 | Fortran Notes: | ||
| 990 | The calling sequence from Fortran is | ||
| 991 | .vb | ||
| 992 | EPSKrylovSchurGetInertias(eps,n,shifts,inertias,ierr) | ||
| 993 | PetscInt n | ||
| 994 | PetscReal shifts(*) | ||
| 995 | PetscInt inertias(*) | ||
| 996 | .ve | ||
| 997 | The arrays should be at least of length `n`. The value of `n` can be determined | ||
| 998 | by an initial call | ||
| 999 | .vb | ||
| 1000 | EPSKrylovSchurGetInertias(eps,n,PETSC_NULL_REAL_ARRAY,PETSC_NULL_INTEGER_ARRAY,ierr) | ||
| 1001 | .ve | ||
| 1002 | |||
| 1003 | Level: advanced | ||
| 1004 | |||
| 1005 | .seealso: [](ch:eps), [](#sec:slice), `EPSKRYLOVSCHUR`, `EPSSetInterval()`, `EPSKrylovSchurSetSubintervals()` | ||
| 1006 | @*/ | ||
| 1007 | 74 | PetscErrorCode EPSKrylovSchurGetInertias(EPS eps,PetscInt *n,PetscReal *shifts[],PetscInt *inertias[]) PeNS | |
| 1008 | { | ||
| 1009 |
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74 | PetscFunctionBegin; |
| 1010 |
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74 | PetscValidHeaderSpecific(eps,EPS_CLASSID,1); |
| 1011 |
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74 | PetscAssertPointer(n,2); |
| 1012 |
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|
74 | PetscUseMethod(eps,"EPSKrylovSchurGetInertias_C",(EPS,PetscInt*,PetscReal**,PetscInt**),(eps,n,shifts,inertias)); |
| 1013 |
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|
74 | PetscFunctionReturn(PETSC_SUCCESS); |
| 1014 | } | ||
| 1015 | |||
| 1016 | 32 | static PetscErrorCode EPSKrylovSchurGetSubcommInfo_KrylovSchur(EPS eps,PetscInt *k,PetscInt *n,Vec *v) | |
| 1017 | { | ||
| 1018 | 32 | EPS_KRYLOVSCHUR *ctx = (EPS_KRYLOVSCHUR*)eps->data; | |
| 1019 | 32 | EPS_SR sr = ((EPS_KRYLOVSCHUR*)ctx->eps->data)->sr; | |
| 1020 | |||
| 1021 |
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32 | PetscFunctionBegin; |
| 1022 |
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32 | PetscCheck(eps->state,PetscObjectComm((PetscObject)eps),PETSC_ERR_ARG_WRONGSTATE,"Must call EPSSetUp() first"); |
| 1023 |
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32 | PetscCheck(ctx->sr,PetscObjectComm((PetscObject)eps),PETSC_ERR_ARG_WRONGSTATE,"Only available in interval computations, see EPSSetInterval()"); |
| 1024 |
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32 | if (k) *k = (ctx->npart==1)? 0: ctx->subc->color; |
| 1025 |
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32 | if (n) *n = sr->numEigs; |
| 1026 |
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|
32 | if (v) PetscCall(BVCreateVec(sr->V,v)); |
| 1027 |
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|
4 | PetscFunctionReturn(PETSC_SUCCESS); |
| 1028 | } | ||
| 1029 | |||
| 1030 | /*@ | ||
| 1031 | EPSKrylovSchurGetSubcommInfo - Gets information related to the case of | ||
| 1032 | doing spectrum slicing for a computational interval with multiple | ||
| 1033 | communicators. | ||
| 1034 | |||
| 1035 | Collective on the subcommunicator (if `v` is given) | ||
| 1036 | |||
| 1037 | Input Parameter: | ||
| 1038 | . eps - the linear eigensolver context | ||
| 1039 | |||
| 1040 | Output Parameters: | ||
| 1041 | + k - index of the subinterval for the calling process | ||
| 1042 | . n - number of eigenvalues found in the `k`-th subinterval | ||
| 1043 | - v - a vector owned by processes in the subcommunicator with dimensions | ||
| 1044 | compatible for locally computed eigenvectors (or `NULL`) | ||
| 1045 | |||
| 1046 | Notes: | ||
| 1047 | This function is only available for spectrum slicing runs, that is, when | ||
| 1048 | an interval has been given with `EPSSetInterval()` and `STSINVERT` is set. | ||
| 1049 | See more details in section [](#sec:slice). | ||
| 1050 | |||
| 1051 | The returned `Vec` should be destroyed by the user. | ||
| 1052 | |||
| 1053 | Level: advanced | ||
| 1054 | |||
| 1055 | .seealso: [](ch:eps), [](#sec:slice), `EPSKRYLOVSCHUR`, `EPSSetInterval()`, `EPSKrylovSchurSetPartitions()`, `EPSKrylovSchurGetSubcommPairs()` | ||
| 1056 | @*/ | ||
| 1057 | 32 | PetscErrorCode EPSKrylovSchurGetSubcommInfo(EPS eps,PetscInt *k,PetscInt *n,Vec *v) | |
| 1058 | { | ||
| 1059 |
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32 | PetscFunctionBegin; |
| 1060 |
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32 | PetscValidHeaderSpecific(eps,EPS_CLASSID,1); |
| 1061 |
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|
32 | PetscUseMethod(eps,"EPSKrylovSchurGetSubcommInfo_C",(EPS,PetscInt*,PetscInt*,Vec*),(eps,k,n,v)); |
| 1062 |
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|
32 | PetscFunctionReturn(PETSC_SUCCESS); |
| 1063 | } | ||
| 1064 | |||
| 1065 | 748 | static PetscErrorCode EPSKrylovSchurGetSubcommPairs_KrylovSchur(EPS eps,PetscInt i,PetscScalar *eig,Vec v) | |
| 1066 | { | ||
| 1067 | 748 | EPS_KRYLOVSCHUR *ctx = (EPS_KRYLOVSCHUR*)eps->data; | |
| 1068 | 748 | EPS_SR sr = ((EPS_KRYLOVSCHUR*)ctx->eps->data)->sr; | |
| 1069 | |||
| 1070 |
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748 | PetscFunctionBegin; |
| 1071 |
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|
748 | EPSCheckSolved(eps,1); |
| 1072 |
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|
748 | PetscCheck(ctx->sr,PetscObjectComm((PetscObject)eps),PETSC_ERR_ARG_WRONGSTATE,"Only available in interval computations, see EPSSetInterval()"); |
| 1073 |
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748 | PetscCheck(i>=0 && i<sr->numEigs,PetscObjectComm((PetscObject)eps),PETSC_ERR_ARG_OUTOFRANGE,"Argument 2 out of range"); |
| 1074 |
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|
748 | if (eig) *eig = sr->eigr[sr->perm[i]]; |
| 1075 |
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|
748 | if (v) PetscCall(BVCopyVec(sr->V,sr->perm[i],v)); |
| 1076 |
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|
116 | PetscFunctionReturn(PETSC_SUCCESS); |
| 1077 | } | ||
| 1078 | |||
| 1079 | /*@ | ||
| 1080 | EPSKrylovSchurGetSubcommPairs - Gets the `i`-th eigenpair stored | ||
| 1081 | internally in the subcommunicator to which the calling process belongs. | ||
| 1082 | |||
| 1083 | Collective on the subcommunicator (if `v` is given) | ||
| 1084 | |||
| 1085 | Input Parameters: | ||
| 1086 | + eps - the linear eigensolver context | ||
| 1087 | - i - index of the solution | ||
| 1088 | |||
| 1089 | Output Parameters: | ||
| 1090 | + eig - the eigenvalue | ||
| 1091 | - v - the eigenvector | ||
| 1092 | |||
| 1093 | Notes: | ||
| 1094 | This function is only available for spectrum slicing runs, that is, when | ||
| 1095 | an interval has been given with `EPSSetInterval()` and `STSINVERT` is set. | ||
| 1096 | And is relevant only when the number of partitions (`EPSKrylovSchurSetPartitions()`) | ||
| 1097 | is larger than one. See more details in section [](#sec:slice). | ||
| 1098 | |||
| 1099 | It is allowed to pass `NULL` for `v` if the eigenvector is not required. | ||
| 1100 | Otherwise, the caller must provide a valid `Vec` object, i.e., | ||
| 1101 | it must be created by the calling program with `EPSKrylovSchurGetSubcommInfo()`. | ||
| 1102 | |||
| 1103 | The index `i` should be a value between 0 and `n`-1, where `n` is the number of | ||
| 1104 | vectors in the local subinterval, see `EPSKrylovSchurGetSubcommInfo()`. | ||
| 1105 | |||
| 1106 | Level: advanced | ||
| 1107 | |||
| 1108 | .seealso: [](ch:eps), [](#sec:slice), `EPSKRYLOVSCHUR`, `EPSSetInterval()`, `EPSKrylovSchurSetPartitions()`, `EPSKrylovSchurGetSubcommInfo()`, `EPSKrylovSchurGetSubcommMats()` | ||
| 1109 | @*/ | ||
| 1110 | 748 | PetscErrorCode EPSKrylovSchurGetSubcommPairs(EPS eps,PetscInt i,PetscScalar *eig,Vec v) | |
| 1111 | { | ||
| 1112 |
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748 | PetscFunctionBegin; |
| 1113 |
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748 | PetscValidHeaderSpecific(eps,EPS_CLASSID,1); |
| 1114 |
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|
748 | if (v) PetscValidLogicalCollectiveInt(v,i,2); |
| 1115 |
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|
748 | PetscUseMethod(eps,"EPSKrylovSchurGetSubcommPairs_C",(EPS,PetscInt,PetscScalar*,Vec),(eps,i,eig,v)); |
| 1116 |
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|
748 | PetscFunctionReturn(PETSC_SUCCESS); |
| 1117 | } | ||
| 1118 | |||
| 1119 | 32 | static PetscErrorCode EPSKrylovSchurGetSubcommMats_KrylovSchur(EPS eps,Mat *A,Mat *B) | |
| 1120 | { | ||
| 1121 | 32 | EPS_KRYLOVSCHUR *ctx = (EPS_KRYLOVSCHUR*)eps->data; | |
| 1122 | |||
| 1123 |
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32 | PetscFunctionBegin; |
| 1124 |
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32 | PetscCheck(ctx->sr,PetscObjectComm((PetscObject)eps),PETSC_ERR_ARG_WRONGSTATE,"Only available in interval computations, see EPSSetInterval()"); |
| 1125 |
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32 | PetscCheck(eps->state,PetscObjectComm((PetscObject)eps),PETSC_ERR_ARG_WRONGSTATE,"Must call EPSSetUp() first"); |
| 1126 |
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32 | PetscCall(EPSGetOperators(ctx->eps,A,B)); |
| 1127 |
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|
4 | PetscFunctionReturn(PETSC_SUCCESS); |
| 1128 | } | ||
| 1129 | |||
| 1130 | /*@ | ||
| 1131 | EPSKrylovSchurGetSubcommMats - Gets the eigenproblem matrices stored | ||
| 1132 | internally in the subcommunicator to which the calling process belongs. | ||
| 1133 | |||
| 1134 | Collective on the subcommunicator | ||
| 1135 | |||
| 1136 | Input Parameter: | ||
| 1137 | . eps - the linear eigensolver context | ||
| 1138 | |||
| 1139 | Output Parameters: | ||
| 1140 | + A - the matrix associated with the eigensystem | ||
| 1141 | - B - the second matrix in the case of generalized eigenproblems | ||
| 1142 | |||
| 1143 | Notes: | ||
| 1144 | This function is only available for spectrum slicing runs, that is, when | ||
| 1145 | an interval has been given with `EPSSetInterval()` and `STSINVERT` is set. | ||
| 1146 | And is relevant only when the number of partitions (`EPSKrylovSchurSetPartitions()`) | ||
| 1147 | is larger than one. See more details in section [](#sec:slice). | ||
| 1148 | |||
| 1149 | This is the analog of `EPSGetOperators()`, but returns the matrices distributed | ||
| 1150 | differently (in the subcommunicator rather than in the parent communicator). | ||
| 1151 | |||
| 1152 | These matrices should not be modified by the user. | ||
| 1153 | |||
| 1154 | Level: advanced | ||
| 1155 | |||
| 1156 | .seealso: [](ch:eps), [](#sec:slice), `EPSKRYLOVSCHUR`, `EPSSetInterval()`, `EPSKrylovSchurSetPartitions()`, `EPSKrylovSchurGetSubcommInfo()` | ||
| 1157 | @*/ | ||
| 1158 | 32 | PetscErrorCode EPSKrylovSchurGetSubcommMats(EPS eps,Mat *A,Mat *B) | |
| 1159 | { | ||
| 1160 |
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32 | PetscFunctionBegin; |
| 1161 |
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32 | PetscValidHeaderSpecific(eps,EPS_CLASSID,1); |
| 1162 |
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32 | PetscTryMethod(eps,"EPSKrylovSchurGetSubcommMats_C",(EPS,Mat*,Mat*),(eps,A,B)); |
| 1163 |
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|
32 | PetscFunctionReturn(PETSC_SUCCESS); |
| 1164 | } | ||
| 1165 | |||
| 1166 | 32 | static PetscErrorCode EPSKrylovSchurUpdateSubcommMats_KrylovSchur(EPS eps,PetscScalar a,PetscScalar ap,Mat Au,PetscScalar b,PetscScalar bp, Mat Bu,MatStructure str,PetscBool globalup) | |
| 1167 | { | ||
| 1168 | 32 | EPS_KRYLOVSCHUR *ctx = (EPS_KRYLOVSCHUR*)eps->data,*subctx; | |
| 1169 | 32 | Mat A,B=NULL,Ag,Bg=NULL; | |
| 1170 | 32 | PetscBool reuse=PETSC_TRUE; | |
| 1171 | |||
| 1172 |
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32 | PetscFunctionBegin; |
| 1173 |
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32 | PetscCheck(ctx->sr,PetscObjectComm((PetscObject)eps),PETSC_ERR_ARG_WRONGSTATE,"Only available in interval computations, see EPSSetInterval()"); |
| 1174 |
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32 | PetscCheck(eps->state,PetscObjectComm((PetscObject)eps),PETSC_ERR_ARG_WRONGSTATE,"Must call EPSSetUp() first"); |
| 1175 |
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32 | PetscCall(EPSGetOperators(eps,&Ag,&Bg)); |
| 1176 |
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32 | PetscCall(EPSGetOperators(ctx->eps,&A,&B)); |
| 1177 | |||
| 1178 |
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|
32 | PetscCall(MatScale(A,a)); |
| 1179 |
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|
32 | if (Au) PetscCall(MatAXPY(A,ap,Au,str)); |
| 1180 |
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|
32 | if (B) PetscCall(MatScale(B,b)); |
| 1181 |
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|
32 | if (Bu) PetscCall(MatAXPY(B,bp,Bu,str)); |
| 1182 |
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|
32 | PetscCall(EPSSetOperators(ctx->eps,A,B)); |
| 1183 | |||
| 1184 | /* Update stored matrix state */ | ||
| 1185 | 32 | subctx = (EPS_KRYLOVSCHUR*)ctx->eps->data; | |
| 1186 |
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32 | PetscCall(MatGetState(A,&subctx->Astate)); |
| 1187 |
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|
32 | if (B) PetscCall(MatGetState(B,&subctx->Bstate)); |
| 1188 | |||
| 1189 | /* Update matrices in the parent communicator if requested by user */ | ||
| 1190 |
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32 | if (globalup) { |
| 1191 |
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32 | if (ctx->npart>1) { |
| 1192 |
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32 | if (!ctx->isrow) { |
| 1193 |
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32 | PetscCall(MatGetOwnershipIS(Ag,&ctx->isrow,&ctx->iscol)); |
| 1194 | reuse = PETSC_FALSE; | ||
| 1195 | } | ||
| 1196 |
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32 | if (str==DIFFERENT_NONZERO_PATTERN || str==UNKNOWN_NONZERO_PATTERN) reuse = PETSC_FALSE; |
| 1197 |
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32 | if (ctx->submata && !reuse) PetscCall(MatDestroyMatrices(1,&ctx->submata)); |
| 1198 |
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32 | PetscCall(MatCreateSubMatrices(A,1,&ctx->isrow,&ctx->iscol,(reuse)?MAT_REUSE_MATRIX:MAT_INITIAL_MATRIX,&ctx->submata)); |
| 1199 |
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32 | PetscCall(MatCreateMPIMatConcatenateSeqMat(((PetscObject)Ag)->comm,ctx->submata[0],PETSC_DECIDE,MAT_REUSE_MATRIX,&Ag)); |
| 1200 |
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32 | if (B) { |
| 1201 |
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32 | if (ctx->submatb && !reuse) PetscCall(MatDestroyMatrices(1,&ctx->submatb)); |
| 1202 |
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32 | PetscCall(MatCreateSubMatrices(B,1,&ctx->isrow,&ctx->iscol,(reuse)?MAT_REUSE_MATRIX:MAT_INITIAL_MATRIX,&ctx->submatb)); |
| 1203 |
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32 | PetscCall(MatCreateMPIMatConcatenateSeqMat(((PetscObject)Bg)->comm,ctx->submatb[0],PETSC_DECIDE,MAT_REUSE_MATRIX,&Bg)); |
| 1204 | } | ||
| 1205 | } | ||
| 1206 |
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32 | PetscCall(MatGetState(Ag,&ctx->Astate)); |
| 1207 |
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32 | if (Bg) PetscCall(MatGetState(Bg,&ctx->Bstate)); |
| 1208 | } | ||
| 1209 |
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32 | PetscCall(EPSSetOperators(eps,Ag,Bg)); |
| 1210 |
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4 | PetscFunctionReturn(PETSC_SUCCESS); |
| 1211 | } | ||
| 1212 | |||
| 1213 | /*@ | ||
| 1214 | EPSKrylovSchurUpdateSubcommMats - Update the eigenproblem matrices stored | ||
| 1215 | internally in the subcommunicator to which the calling process belongs. | ||
| 1216 | |||
| 1217 | Collective | ||
| 1218 | |||
| 1219 | Input Parameters: | ||
| 1220 | + eps - the linear eigensolver context | ||
| 1221 | . s - scalar that multiplies the existing $A$ matrix | ||
| 1222 | . a - scalar used in the _axpy_ operation on $A$ | ||
| 1223 | . Au - matrix used in the _axpy_ operation on $A$ | ||
| 1224 | . t - scalar that multiplies the existing $B$ matrix | ||
| 1225 | . b - scalar used in the _axpy_ operation on $B$ | ||
| 1226 | . Bu - matrix used in the _axpy_ operation on $B$ | ||
| 1227 | . str - structure flag, see `MatStructure` | ||
| 1228 | - globalup - flag indicating if global matrices must be updated | ||
| 1229 | |||
| 1230 | Notes: | ||
| 1231 | This function is only available for spectrum slicing runs, that is, when | ||
| 1232 | an interval has been given with `EPSSetInterval()` and `STSINVERT` is set. | ||
| 1233 | And is relevant only when the number of partitions (`EPSKrylovSchurSetPartitions()`) | ||
| 1234 | is larger than one. See more details in section [](#sec:slice). | ||
| 1235 | |||
| 1236 | This function modifies the eigenproblem matrices at the subcommunicator level, | ||
| 1237 | and optionally updates the global matrices in the parent communicator. The updates | ||
| 1238 | are expressed as $A \leftarrow s A + a A_u$ and $B \leftarrow t B + b B_u$. | ||
| 1239 | |||
| 1240 | It is possible to update one of the matrices, or both. | ||
| 1241 | |||
| 1242 | The matrices `Au` and `Bu` must be equal in all subcommunicators. | ||
| 1243 | |||
| 1244 | The `str` flag is passed to the `MatAXPY()` operations to perform the updates. | ||
| 1245 | |||
| 1246 | If `globalup` is `PETSC_TRUE`, communication is carried out to reconstruct the updated | ||
| 1247 | matrices in the parent communicator. The user must be warned that if global | ||
| 1248 | matrices are not in sync with subcommunicator matrices, the errors computed | ||
| 1249 | by `EPSComputeError()` will be wrong even if the computed solution is correct | ||
| 1250 | (the synchronization may be done only once at the end). | ||
| 1251 | |||
| 1252 | Level: advanced | ||
| 1253 | |||
| 1254 | .seealso: [](ch:eps), [](#sec:slice), `EPSKRYLOVSCHUR`, `EPSSetInterval()`, `EPSKrylovSchurSetPartitions()`, `EPSKrylovSchurGetSubcommMats()` | ||
| 1255 | @*/ | ||
| 1256 | 32 | PetscErrorCode EPSKrylovSchurUpdateSubcommMats(EPS eps,PetscScalar s,PetscScalar a,Mat Au,PetscScalar t,PetscScalar b,Mat Bu,MatStructure str,PetscBool globalup) | |
| 1257 | { | ||
| 1258 |
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32 | PetscFunctionBegin; |
| 1259 |
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32 | PetscValidHeaderSpecific(eps,EPS_CLASSID,1); |
| 1260 |
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32 | PetscValidLogicalCollectiveScalar(eps,s,2); |
| 1261 |
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32 | PetscValidLogicalCollectiveScalar(eps,a,3); |
| 1262 |
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32 | if (Au) PetscValidHeaderSpecific(Au,MAT_CLASSID,4); |
| 1263 |
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32 | PetscValidLogicalCollectiveScalar(eps,t,5); |
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32 | PetscValidLogicalCollectiveScalar(eps,b,6); |
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32 | if (Bu) PetscValidHeaderSpecific(Bu,MAT_CLASSID,7); |
| 1266 |
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32 | PetscValidLogicalCollectiveEnum(eps,str,8); |
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32 | PetscValidLogicalCollectiveBool(eps,globalup,9); |
| 1268 |
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32 | PetscTryMethod(eps,"EPSKrylovSchurUpdateSubcommMats_C",(EPS,PetscScalar,PetscScalar,Mat,PetscScalar,PetscScalar,Mat,MatStructure,PetscBool),(eps,s,a,Au,t,b,Bu,str,globalup)); |
| 1269 |
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|
32 | PetscFunctionReturn(PETSC_SUCCESS); |
| 1270 | } | ||
| 1271 | |||
| 1272 | 416 | PetscErrorCode EPSKrylovSchurGetChildEPS(EPS eps,EPS *childeps) | |
| 1273 | { | ||
| 1274 | 416 | EPS_KRYLOVSCHUR *ctx=(EPS_KRYLOVSCHUR*)eps->data,*ctx_local; | |
| 1275 | 416 | Mat A,B=NULL,Ar=NULL,Br=NULL; | |
| 1276 | 416 | PetscMPIInt rank; | |
| 1277 | 416 | PetscBool Asame,Bsame; | |
| 1278 | 416 | STType sttype; | |
| 1279 | 416 | PetscInt nmat; | |
| 1280 | 416 | const char *prefix; | |
| 1281 | 416 | MPI_Comm child; | |
| 1282 | |||
| 1283 |
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416 | PetscFunctionBegin; |
| 1284 |
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416 | PetscCall(EPSGetOperators(eps,&A,&B)); |
| 1285 |
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416 | if (ctx->npart==1) { |
| 1286 |
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210 | if (!ctx->eps) PetscCall(EPSCreate(((PetscObject)eps)->comm,&ctx->eps)); |
| 1287 |
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210 | PetscCall(EPSGetOptionsPrefix(eps,&prefix)); |
| 1288 |
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210 | PetscCall(EPSSetOptionsPrefix(ctx->eps,prefix)); |
| 1289 |
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210 | PetscCall(EPSSetOperators(ctx->eps,A,B)); |
| 1290 | } else { | ||
| 1291 |
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206 | if (!ctx->subc) { |
| 1292 | /* Create context for subcommunicators */ | ||
| 1293 |
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77 | PetscCall(PetscSubcommCreate(PetscObjectComm((PetscObject)eps),&ctx->subc)); |
| 1294 |
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77 | PetscCall(PetscSubcommSetNumber(ctx->subc,ctx->npart)); |
| 1295 |
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77 | PetscCall(PetscSubcommSetType(ctx->subc,PETSC_SUBCOMM_CONTIGUOUS)); |
| 1296 |
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77 | PetscCall(PetscSubcommGetChild(ctx->subc,&child)); |
| 1297 | |||
| 1298 | /* Duplicate matrices */ | ||
| 1299 |
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77 | PetscCall(MatCreateRedundantMatrix(A,0,child,MAT_INITIAL_MATRIX,&Ar)); |
| 1300 |
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77 | PetscCall(MatGetState(A,&ctx->Astate)); |
| 1301 |
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77 | PetscCall(MatPropagateSymmetryOptions(A,Ar)); |
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77 | if (B) { |
| 1303 |
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77 | PetscCall(MatCreateRedundantMatrix(B,0,child,MAT_INITIAL_MATRIX,&Br)); |
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77 | PetscCall(MatGetState(B,&ctx->Bstate)); |
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77 | PetscCall(MatPropagateSymmetryOptions(B,Br)); |
| 1306 | } | ||
| 1307 | } else { | ||
| 1308 |
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129 | PetscCall(PetscSubcommGetChild(ctx->subc,&child)); |
| 1309 |
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129 | PetscCall(MatStateCompareUpdate(A,&ctx->Astate,&Asame)); |
| 1310 |
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129 | if (B) PetscCall(MatStateCompareUpdate(B,&ctx->Bstate,&Bsame)); |
| 1311 | ✗ | else Bsame = PETSC_TRUE; | |
| 1312 |
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129 | if (!Asame || !Bsame) { |
| 1313 | ✗ | PetscCall(STGetNumMatrices(ctx->eps->st,&nmat)); | |
| 1314 | ✗ | if (nmat) PetscCall(EPSGetOperators(ctx->eps,&Ar,&Br)); | |
| 1315 | ✗ | PetscCall(MatCreateRedundantMatrix(A,0,child,MAT_INITIAL_MATRIX,&Ar)); | |
| 1316 | ✗ | PetscCall(MatPropagateSymmetryOptions(A,Ar)); | |
| 1317 | ✗ | if (B) { | |
| 1318 | ✗ | PetscCall(MatCreateRedundantMatrix(B,0,child,MAT_INITIAL_MATRIX,&Br)); | |
| 1319 | ✗ | PetscCall(MatPropagateSymmetryOptions(B,Br)); | |
| 1320 | } | ||
| 1321 | ✗ | PetscCall(EPSSetOperators(ctx->eps,Ar,Br)); | |
| 1322 | ✗ | PetscCall(MatDestroy(&Ar)); | |
| 1323 | ✗ | PetscCall(MatDestroy(&Br)); | |
| 1324 | } | ||
| 1325 | } | ||
| 1326 | |||
| 1327 | /* Create auxiliary EPS */ | ||
| 1328 |
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206 | if (!ctx->eps) { |
| 1329 |
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77 | PetscCall(EPSCreate(child,&ctx->eps)); |
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77 | PetscCall(EPSGetOptionsPrefix(eps,&prefix)); |
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77 | PetscCall(EPSSetOptionsPrefix(ctx->eps,prefix)); |
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77 | PetscCall(EPSSetOperators(ctx->eps,Ar,Br)); |
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77 | PetscCall(MatDestroy(&Ar)); |
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77 | PetscCall(MatDestroy(&Br)); |
| 1335 | } | ||
| 1336 | /* Create subcommunicator grouping processes with same rank */ | ||
| 1337 |
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206 | if (!ctx->commset) { |
| 1338 |
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77 | PetscCallMPI(MPI_Comm_rank(child,&rank)); |
| 1339 |
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77 | PetscCallMPI(MPI_Comm_split(((PetscObject)eps)->comm,rank,ctx->subc->color,&ctx->commrank)); |
| 1340 | 77 | ctx->commset = PETSC_TRUE; | |
| 1341 | } | ||
| 1342 | } | ||
| 1343 |
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416 | PetscCall(EPSSetType(ctx->eps,((PetscObject)eps)->type_name)); |
| 1344 |
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416 | PetscCall(STGetType(eps->st,&sttype)); |
| 1345 |
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416 | PetscCall(STSetType(ctx->eps->st,sttype)); |
| 1346 | |||
| 1347 | 416 | ctx_local = (EPS_KRYLOVSCHUR*)ctx->eps->data; | |
| 1348 | 416 | ctx_local->npart = ctx->npart; | |
| 1349 | 416 | ctx_local->global = PETSC_FALSE; | |
| 1350 | 416 | ctx_local->eps = eps; | |
| 1351 | 416 | ctx_local->subc = ctx->subc; | |
| 1352 | 416 | ctx_local->commrank = ctx->commrank; | |
| 1353 | 416 | *childeps = ctx->eps; | |
| 1354 |
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|
416 | PetscFunctionReturn(PETSC_SUCCESS); |
| 1355 | } | ||
| 1356 | |||
| 1357 | 219 | static PetscErrorCode EPSKrylovSchurGetKSP_KrylovSchur(EPS eps,KSP *ksp) | |
| 1358 | { | ||
| 1359 | 219 | EPS_KRYLOVSCHUR *ctx=(EPS_KRYLOVSCHUR*)eps->data; | |
| 1360 | 219 | ST st; | |
| 1361 | 219 | PetscBool isfilt; | |
| 1362 | |||
| 1363 |
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219 | PetscFunctionBegin; |
| 1364 |
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219 | PetscCall(PetscObjectTypeCompare((PetscObject)eps->st,STFILTER,&isfilt)); |
| 1365 |
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219 | PetscCheck(eps->which==EPS_ALL && !isfilt,PetscObjectComm((PetscObject)eps),PETSC_ERR_ARG_WRONGSTATE,"Only available in interval computations with spectrum slicing"); |
| 1366 |
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219 | PetscCall(EPSKrylovSchurGetChildEPS(eps,&ctx->eps)); |
| 1367 |
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219 | PetscCall(EPSGetST(ctx->eps,&st)); |
| 1368 |
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219 | PetscCall(STGetOperator(st,NULL)); |
| 1369 |
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219 | PetscCall(STGetKSP(st,ksp)); |
| 1370 |
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|
36 | PetscFunctionReturn(PETSC_SUCCESS); |
| 1371 | } | ||
| 1372 | |||
| 1373 | /*@ | ||
| 1374 | EPSKrylovSchurGetKSP - Retrieve the linear solver object associated with the | ||
| 1375 | internal `EPS` object in case of doing spectrum slicing for a computational interval. | ||
| 1376 | |||
| 1377 | Collective | ||
| 1378 | |||
| 1379 | Input Parameter: | ||
| 1380 | . eps - the linear eigensolver context | ||
| 1381 | |||
| 1382 | Output Parameter: | ||
| 1383 | . ksp - the internal `KSP` object | ||
| 1384 | |||
| 1385 | Notes: | ||
| 1386 | When invoked to compute all eigenvalues in an interval with spectrum | ||
| 1387 | slicing, `EPSKRYLOVSCHUR` creates another `EPS` object internally that is | ||
| 1388 | used to compute eigenvalues by chunks near selected shifts. This function | ||
| 1389 | allows access to the `KSP` object associated to this internal `EPS` object. | ||
| 1390 | |||
| 1391 | This function is only available for spectrum slicing runs, that is, when | ||
| 1392 | an interval has been given with `EPSSetInterval()` and `STSINVERT` is set. | ||
| 1393 | See more details in section [](#sec:slice). | ||
| 1394 | |||
| 1395 | In case of having more than one partition, the returned `KSP` will be different | ||
| 1396 | in MPI processes belonging to different partitions. Hence, if required, | ||
| 1397 | `EPSKrylovSchurSetPartitions()` must be called BEFORE this function. | ||
| 1398 | |||
| 1399 | Level: advanced | ||
| 1400 | |||
| 1401 | .seealso: [](ch:eps), [](#sec:slice), `EPSKRYLOVSCHUR`, `EPSSetInterval()`, `EPSKrylovSchurSetPartitions()` | ||
| 1402 | @*/ | ||
| 1403 | 62 | PetscErrorCode EPSKrylovSchurGetKSP(EPS eps,KSP *ksp) | |
| 1404 | { | ||
| 1405 |
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62 | PetscFunctionBegin; |
| 1406 |
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62 | PetscValidHeaderSpecific(eps,EPS_CLASSID,1); |
| 1407 |
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|
62 | PetscUseMethod(eps,"EPSKrylovSchurGetKSP_C",(EPS,KSP*),(eps,ksp)); |
| 1408 |
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|
62 | PetscFunctionReturn(PETSC_SUCCESS); |
| 1409 | } | ||
| 1410 | |||
| 1411 | 500 | static PetscErrorCode EPSKrylovSchurSetBSEType_KrylovSchur(EPS eps,EPSKrylovSchurBSEType bse) | |
| 1412 | { | ||
| 1413 | 500 | EPS_KRYLOVSCHUR *ctx = (EPS_KRYLOVSCHUR*)eps->data; | |
| 1414 | |||
| 1415 |
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500 | PetscFunctionBegin; |
| 1416 |
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500 | switch (bse) { |
| 1417 | 500 | case EPS_KRYLOVSCHUR_BSE_SHAO: | |
| 1418 | case EPS_KRYLOVSCHUR_BSE_GRUNING: | ||
| 1419 | case EPS_KRYLOVSCHUR_BSE_PROJECTEDBSE: | ||
| 1420 |
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|
500 | if (ctx->bse != bse) { |
| 1421 | 330 | ctx->bse = bse; | |
| 1422 | 330 | eps->state = EPS_STATE_INITIAL; | |
| 1423 | } | ||
| 1424 | 76 | break; | |
| 1425 | ✗ | default: | |
| 1426 | − | SETERRQ(PetscObjectComm((PetscObject)eps),PETSC_ERR_ARG_OUTOFRANGE,"Invalid BSE type"); | |
| 1427 | } | ||
| 1428 |
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|
76 | PetscFunctionReturn(PETSC_SUCCESS); |
| 1429 | } | ||
| 1430 | |||
| 1431 | /*@ | ||
| 1432 | EPSKrylovSchurSetBSEType - Sets the method to be used for BSE structured eigenproblems | ||
| 1433 | in the Krylov-Schur solver. | ||
| 1434 | |||
| 1435 | Logically Collective | ||
| 1436 | |||
| 1437 | Input Parameters: | ||
| 1438 | + eps - the linear eigensolver context | ||
| 1439 | - bse - the BSE method, see `EPSKrylovSchurBSEType` for possible values | ||
| 1440 | |||
| 1441 | Options Database Key: | ||
| 1442 | . -eps_krylovschur_bse_type (shao|gruning|projectedbse) - sets the BSE type | ||
| 1443 | |||
| 1444 | Notes: | ||
| 1445 | This function is relevant only for `EPS_BSE` problem types, see section | ||
| 1446 | on [](#sec:structured). | ||
| 1447 | |||
| 1448 | A detailed description of the methods can be found in {cite:p}`Alv25`. | ||
| 1449 | |||
| 1450 | Level: advanced | ||
| 1451 | |||
| 1452 | .seealso: [](ch:eps), [](#sec:structured), `EPS_BSE`, `EPSKRYLOVSCHUR`, `EPSKrylovSchurGetBSEType()`, `EPSKrylovSchurBSEType`, `MatCreateBSE()` | ||
| 1453 | @*/ | ||
| 1454 | 500 | PetscErrorCode EPSKrylovSchurSetBSEType(EPS eps,EPSKrylovSchurBSEType bse) | |
| 1455 | { | ||
| 1456 |
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500 | PetscFunctionBegin; |
| 1457 |
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500 | PetscValidHeaderSpecific(eps,EPS_CLASSID,1); |
| 1458 |
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|
500 | PetscValidLogicalCollectiveEnum(eps,bse,2); |
| 1459 |
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|
500 | PetscTryMethod(eps,"EPSKrylovSchurSetBSEType_C",(EPS,EPSKrylovSchurBSEType),(eps,bse)); |
| 1460 |
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|
500 | PetscFunctionReturn(PETSC_SUCCESS); |
| 1461 | } | ||
| 1462 | |||
| 1463 | ✗ | static PetscErrorCode EPSKrylovSchurGetBSEType_KrylovSchur(EPS eps,EPSKrylovSchurBSEType *bse) | |
| 1464 | { | ||
| 1465 | ✗ | EPS_KRYLOVSCHUR *ctx = (EPS_KRYLOVSCHUR*)eps->data; | |
| 1466 | |||
| 1467 | ✗ | PetscFunctionBegin; | |
| 1468 | ✗ | *bse = ctx->bse; | |
| 1469 | ✗ | PetscFunctionReturn(PETSC_SUCCESS); | |
| 1470 | } | ||
| 1471 | |||
| 1472 | /*@ | ||
| 1473 | EPSKrylovSchurGetBSEType - Gets the method used for BSE structured eigenproblems | ||
| 1474 | in the Krylov-Schur solver. | ||
| 1475 | |||
| 1476 | Not Collective | ||
| 1477 | |||
| 1478 | Input Parameter: | ||
| 1479 | . eps - the linear eigensolver context | ||
| 1480 | |||
| 1481 | Output Parameter: | ||
| 1482 | . bse - the BSE method | ||
| 1483 | |||
| 1484 | Level: advanced | ||
| 1485 | |||
| 1486 | .seealso: [](ch:eps), [](#sec:structured), `EPS_BSE`, `EPSKRYLOVSCHUR`, `EPSKrylovSchurSetBSEType()`, `EPSKrylovSchurBSEType`, `MatCreateBSE()` | ||
| 1487 | @*/ | ||
| 1488 | ✗ | PetscErrorCode EPSKrylovSchurGetBSEType(EPS eps,EPSKrylovSchurBSEType *bse) | |
| 1489 | { | ||
| 1490 | ✗ | PetscFunctionBegin; | |
| 1491 | ✗ | PetscValidHeaderSpecific(eps,EPS_CLASSID,1); | |
| 1492 | ✗ | PetscAssertPointer(bse,2); | |
| 1493 | ✗ | PetscUseMethod(eps,"EPSKrylovSchurGetBSEType_C",(EPS,EPSKrylovSchurBSEType*),(eps,bse)); | |
| 1494 | ✗ | PetscFunctionReturn(PETSC_SUCCESS); | |
| 1495 | } | ||
| 1496 | |||
| 1497 | 308 | static PetscErrorCode EPSKrylovSchurSetLREPType_KrylovSchur(EPS eps,EPSKrylovSchurLREPType lrep) | |
| 1498 | { | ||
| 1499 | 308 | EPS_KRYLOVSCHUR *ctx = (EPS_KRYLOVSCHUR*)eps->data; | |
| 1500 | |||
| 1501 |
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308 | PetscFunctionBegin; |
| 1502 |
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308 | switch (lrep) { |
| 1503 | 308 | case EPS_KRYLOVSCHUR_LREP_TENG: | |
| 1504 | case EPS_KRYLOVSCHUR_LREP_ZHONG: | ||
| 1505 |
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308 | if (ctx->lrep != lrep) { |
| 1506 | 154 | ctx->lrep = lrep; | |
| 1507 | 154 | eps->state = EPS_STATE_INITIAL; | |
| 1508 | } | ||
| 1509 | 52 | break; | |
| 1510 | ✗ | default: | |
| 1511 | − | SETERRQ(PetscObjectComm((PetscObject)eps),PETSC_ERR_ARG_OUTOFRANGE,"Invalid LREP type"); | |
| 1512 | } | ||
| 1513 |
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|
52 | PetscFunctionReturn(PETSC_SUCCESS); |
| 1514 | } | ||
| 1515 | |||
| 1516 | /*@ | ||
| 1517 | EPSKrylovSchurSetLREPType - Sets the method to be used for LREP structured eigenproblems | ||
| 1518 | in the Krylov-Schur solver. | ||
| 1519 | |||
| 1520 | Logically Collective | ||
| 1521 | |||
| 1522 | Input Parameters: | ||
| 1523 | + eps - the linear eigensolver context | ||
| 1524 | - lrep - the LREP method, see `EPSKrylovSchurLREPType` for possible values | ||
| 1525 | |||
| 1526 | Options Database Key: | ||
| 1527 | . -eps_krylovschur_lrep_type (teng|zhong) - sets the LREP type | ||
| 1528 | |||
| 1529 | Notes: | ||
| 1530 | This function is relevant only for `EPS_LREP` problem types, see section | ||
| 1531 | on [](#sec:structured). | ||
| 1532 | |||
| 1533 | Level: advanced | ||
| 1534 | |||
| 1535 | .seealso: [](ch:eps), [](#sec:structured), `EPS_LREP`, `EPSKRYLOVSCHUR`, `EPSKrylovSchurGetLREPType()`, `EPSKrylovSchurLREPType`, `MatCreateLREP()` | ||
| 1536 | @*/ | ||
| 1537 | 308 | PetscErrorCode EPSKrylovSchurSetLREPType(EPS eps,EPSKrylovSchurLREPType lrep) | |
| 1538 | { | ||
| 1539 |
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308 | PetscFunctionBegin; |
| 1540 |
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308 | PetscValidHeaderSpecific(eps,EPS_CLASSID,1); |
| 1541 |
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308 | PetscValidLogicalCollectiveEnum(eps,lrep,2); |
| 1542 |
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|
308 | PetscTryMethod(eps,"EPSKrylovSchurSetLREPType_C",(EPS,EPSKrylovSchurLREPType),(eps,lrep)); |
| 1543 |
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|
308 | PetscFunctionReturn(PETSC_SUCCESS); |
| 1544 | } | ||
| 1545 | |||
| 1546 | ✗ | static PetscErrorCode EPSKrylovSchurGetLREPType_KrylovSchur(EPS eps,EPSKrylovSchurLREPType *lrep) | |
| 1547 | { | ||
| 1548 | ✗ | EPS_KRYLOVSCHUR *ctx = (EPS_KRYLOVSCHUR*)eps->data; | |
| 1549 | |||
| 1550 | ✗ | PetscFunctionBegin; | |
| 1551 | ✗ | *lrep = ctx->lrep; | |
| 1552 | ✗ | PetscFunctionReturn(PETSC_SUCCESS); | |
| 1553 | } | ||
| 1554 | |||
| 1555 | /*@ | ||
| 1556 | EPSKrylovSchurGetLREPType - Gets the method used for LREP structured eigenproblems | ||
| 1557 | in the Krylov-Schur solver. | ||
| 1558 | |||
| 1559 | Not Collective | ||
| 1560 | |||
| 1561 | Input Parameter: | ||
| 1562 | . eps - the linear eigensolver context | ||
| 1563 | |||
| 1564 | Output Parameter: | ||
| 1565 | . lrep - the LREP method | ||
| 1566 | |||
| 1567 | Level: advanced | ||
| 1568 | |||
| 1569 | .seealso: [](ch:eps), [](#sec:structured), `EPS_LREP`, `EPSKRYLOVSCHUR`, `EPSKrylovSchurSetLREPType()`, `EPSKrylovSchurLREPType`, `MatCreateLREP()` | ||
| 1570 | @*/ | ||
| 1571 | ✗ | PetscErrorCode EPSKrylovSchurGetLREPType(EPS eps,EPSKrylovSchurLREPType *lrep) | |
| 1572 | { | ||
| 1573 | ✗ | PetscFunctionBegin; | |
| 1574 | ✗ | PetscValidHeaderSpecific(eps,EPS_CLASSID,1); | |
| 1575 | ✗ | PetscAssertPointer(lrep,2); | |
| 1576 | ✗ | PetscUseMethod(eps,"EPSKrylovSchurGetLREPType_C",(EPS,EPSKrylovSchurLREPType*),(eps,lrep)); | |
| 1577 | ✗ | PetscFunctionReturn(PETSC_SUCCESS); | |
| 1578 | } | ||
| 1579 | |||
| 1580 | 4266 | static PetscErrorCode EPSSetFromOptions_KrylovSchur(EPS eps,PetscOptionItems PetscOptionsObject) | |
| 1581 | { | ||
| 1582 | 4266 | EPS_KRYLOVSCHUR *ctx = (EPS_KRYLOVSCHUR*)eps->data; | |
| 1583 | 4266 | PetscBool flg,lock,b,f1,f2,f3,isfilt; | |
| 1584 | 4266 | PetscReal keep; | |
| 1585 | 4266 | PetscInt i,j,k; | |
| 1586 | 4266 | KSP ksp; | |
| 1587 | 4266 | EPSKrylovSchurBSEType bse; | |
| 1588 | 4266 | EPSKrylovSchurLREPType lrep; | |
| 1589 | |||
| 1590 |
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4266 | PetscFunctionBegin; |
| 1591 |
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4266 | PetscOptionsHeadBegin(PetscOptionsObject,"EPS Krylov-Schur Options"); |
| 1592 | |||
| 1593 |
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|
4266 | PetscCall(PetscOptionsReal("-eps_krylovschur_restart","Proportion of vectors kept after restart","EPSKrylovSchurSetRestart",0.5,&keep,&flg)); |
| 1594 |
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|
4266 | if (flg) PetscCall(EPSKrylovSchurSetRestart(eps,keep)); |
| 1595 | |||
| 1596 |
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4266 | PetscCall(PetscOptionsBool("-eps_krylovschur_locking","Choose between locking and non-locking variants","EPSKrylovSchurSetLocking",PETSC_TRUE,&lock,&flg)); |
| 1597 |
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|
4266 | if (flg) PetscCall(EPSKrylovSchurSetLocking(eps,lock)); |
| 1598 | |||
| 1599 | 4266 | i = ctx->npart; | |
| 1600 |
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4266 | PetscCall(PetscOptionsInt("-eps_krylovschur_partitions","Number of partitions of the communicator for spectrum slicing","EPSKrylovSchurSetPartitions",ctx->npart,&i,&flg)); |
| 1601 |
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4266 | if (flg) PetscCall(EPSKrylovSchurSetPartitions(eps,i)); |
| 1602 | |||
| 1603 | 4266 | b = ctx->detect; | |
| 1604 |
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4266 | PetscCall(PetscOptionsBool("-eps_krylovschur_detect_zeros","Check zeros during factorizations at subinterval boundaries","EPSKrylovSchurSetDetectZeros",ctx->detect,&b,&flg)); |
| 1605 |
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4266 | if (flg) PetscCall(EPSKrylovSchurSetDetectZeros(eps,b)); |
| 1606 | |||
| 1607 | 4266 | i = 1; | |
| 1608 | 4266 | j = k = PETSC_DECIDE; | |
| 1609 |
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4266 | PetscCall(PetscOptionsInt("-eps_krylovschur_nev","Number of eigenvalues to compute in each subsolve (only for spectrum slicing)","EPSKrylovSchurSetDimensions",40,&i,&f1)); |
| 1610 |
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4266 | PetscCall(PetscOptionsInt("-eps_krylovschur_ncv","Number of basis vectors in each subsolve (only for spectrum slicing)","EPSKrylovSchurSetDimensions",80,&j,&f2)); |
| 1611 |
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4266 | PetscCall(PetscOptionsInt("-eps_krylovschur_mpd","Maximum dimension of projected problem in each subsolve (only for spectrum slicing)","EPSKrylovSchurSetDimensions",80,&k,&f3)); |
| 1612 |
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4266 | if (f1 || f2 || f3) PetscCall(EPSKrylovSchurSetDimensions(eps,i,j,k)); |
| 1613 | |||
| 1614 |
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4266 | PetscCall(PetscOptionsEnum("-eps_krylovschur_bse_type","Method for BSE structured eigenproblems","EPSKrylovSchurSetBSEType",EPSKrylovSchurBSETypes,(PetscEnum)ctx->bse,(PetscEnum*)&bse,&flg)); |
| 1615 |
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4266 | if (flg) PetscCall(EPSKrylovSchurSetBSEType(eps,bse)); |
| 1616 | |||
| 1617 |
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4266 | PetscCall(PetscOptionsEnum("-eps_krylovschur_lrep_type","Method for LREP structured eigenproblems","EPSKrylovSchurSetLREPType",EPSKrylovSchurLREPTypes,(PetscEnum)ctx->lrep,(PetscEnum*)&lrep,&flg)); |
| 1618 |
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4266 | if (flg) PetscCall(EPSKrylovSchurSetLREPType(eps,lrep)); |
| 1619 | |||
| 1620 |
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|
4266 | PetscOptionsHeadEnd(); |
| 1621 | |||
| 1622 | /* set options of child KSP in spectrum slicing */ | ||
| 1623 |
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4266 | if (eps->which==EPS_ALL) { |
| 1624 |
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275 | if (!eps->st) PetscCall(EPSGetST(eps,&eps->st)); |
| 1625 |
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275 | PetscCall(EPSSetDefaultST(eps)); |
| 1626 |
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275 | PetscCall(STSetFromOptions(eps->st)); /* need to advance this to check ST type */ |
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275 | PetscCall(PetscObjectTypeCompare((PetscObject)eps->st,STFILTER,&isfilt)); |
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275 | if (!isfilt) { |
| 1629 |
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157 | PetscCall(EPSKrylovSchurGetKSP_KrylovSchur(eps,&ksp)); |
| 1630 |
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157 | PetscCall(KSPSetFromOptions(ksp)); |
| 1631 | } | ||
| 1632 | } | ||
| 1633 |
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|
803 | PetscFunctionReturn(PETSC_SUCCESS); |
| 1634 | } | ||
| 1635 | |||
| 1636 | 40 | static PetscErrorCode EPSView_KrylovSchur(EPS eps,PetscViewer viewer) | |
| 1637 | { | ||
| 1638 | 40 | EPS_KRYLOVSCHUR *ctx = (EPS_KRYLOVSCHUR*)eps->data; | |
| 1639 | 40 | PetscBool isascii,isfilt; | |
| 1640 | 40 | KSP ksp; | |
| 1641 | 40 | PetscViewer sviewer; | |
| 1642 | |||
| 1643 |
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40 | PetscFunctionBegin; |
| 1644 |
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40 | PetscCall(PetscObjectTypeCompare((PetscObject)viewer,PETSCVIEWERASCII,&isascii)); |
| 1645 |
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40 | if (isascii) { |
| 1646 |
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40 | PetscCall(PetscViewerASCIIPrintf(viewer," %d%% of basis vectors kept after restart\n",(int)(100*ctx->keep))); |
| 1647 |
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40 | PetscCall(PetscViewerASCIIPrintf(viewer," using the %slocking variant\n",ctx->lock?"":"non-")); |
| 1648 |
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40 | if (eps->problem_type==EPS_BSE) PetscCall(PetscViewerASCIIPrintf(viewer," BSE method: %s\n",EPSKrylovSchurBSETypes[ctx->bse])); |
| 1649 |
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40 | else if (eps->problem_type==EPS_LREP) PetscCall(PetscViewerASCIIPrintf(viewer," LREP method: %s\n",EPSKrylovSchurLREPTypes[ctx->lrep])); |
| 1650 |
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40 | if (eps->which==EPS_ALL) { |
| 1651 | ✗ | PetscCall(PetscObjectTypeCompare((PetscObject)eps->st,STFILTER,&isfilt)); | |
| 1652 | ✗ | if (isfilt) PetscCall(PetscViewerASCIIPrintf(viewer," using polynomial filtering%s\n",eps->nev?"":" to extract all eigenvalues in an interval")); | |
| 1653 | else { | ||
| 1654 | ✗ | PetscCall(PetscViewerASCIIPrintf(viewer," doing spectrum slicing with nev=%" PetscInt_FMT ", ncv=%" PetscInt_FMT ", mpd=%" PetscInt_FMT "\n",ctx->nev,ctx->ncv,ctx->mpd)); | |
| 1655 | ✗ | if (ctx->npart>1) { | |
| 1656 | ✗ | PetscCall(PetscViewerASCIIPrintf(viewer," multi-communicator spectrum slicing with %" PetscInt_FMT " partitions\n",ctx->npart)); | |
| 1657 | ✗ | if (ctx->detect) PetscCall(PetscViewerASCIIPrintf(viewer," detecting zeros when factorizing at subinterval boundaries\n")); | |
| 1658 | } | ||
| 1659 | /* view child KSP */ | ||
| 1660 | ✗ | PetscCall(EPSKrylovSchurGetKSP_KrylovSchur(eps,&ksp)); | |
| 1661 | ✗ | PetscCall(PetscViewerASCIIPushTab(viewer)); | |
| 1662 | ✗ | if (ctx->npart>1 && ctx->subc) { | |
| 1663 | ✗ | PetscCall(PetscViewerGetSubViewer(viewer,ctx->subc->child,&sviewer)); | |
| 1664 | ✗ | if (!ctx->subc->color) PetscCall(KSPView(ksp,sviewer)); | |
| 1665 | ✗ | PetscCall(PetscViewerFlush(sviewer)); | |
| 1666 | ✗ | PetscCall(PetscViewerRestoreSubViewer(viewer,ctx->subc->child,&sviewer)); | |
| 1667 | /* extra call needed because of the two calls to PetscViewerASCIIPushSynchronized() in PetscViewerGetSubViewer() */ | ||
| 1668 | ✗ | PetscCall(PetscViewerASCIIPopSynchronized(viewer)); | |
| 1669 | ✗ | } else PetscCall(KSPView(ksp,viewer)); | |
| 1670 | ✗ | PetscCall(PetscViewerASCIIPopTab(viewer)); | |
| 1671 | } | ||
| 1672 | } | ||
| 1673 | } | ||
| 1674 |
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|
8 | PetscFunctionReturn(PETSC_SUCCESS); |
| 1675 | } | ||
| 1676 | |||
| 1677 | 4696 | static PetscErrorCode EPSDestroy_KrylovSchur(EPS eps) | |
| 1678 | { | ||
| 1679 | 4696 | PetscBool isfilt; | |
| 1680 | |||
| 1681 |
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4696 | PetscFunctionBegin; |
| 1682 |
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4696 | PetscCall(PetscObjectTypeCompare((PetscObject)eps->st,STFILTER,&isfilt)); |
| 1683 |
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4696 | if (eps->which==EPS_ALL && !isfilt) PetscCall(EPSDestroy_KrylovSchur_Slice(eps)); |
| 1684 |
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4696 | PetscCall(PetscFree(eps->data)); |
| 1685 |
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4696 | PetscCall(PetscObjectComposeFunction((PetscObject)eps,"EPSKrylovSchurSetRestart_C",NULL)); |
| 1686 |
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4696 | PetscCall(PetscObjectComposeFunction((PetscObject)eps,"EPSKrylovSchurGetRestart_C",NULL)); |
| 1687 |
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4696 | PetscCall(PetscObjectComposeFunction((PetscObject)eps,"EPSKrylovSchurSetLocking_C",NULL)); |
| 1688 |
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4696 | PetscCall(PetscObjectComposeFunction((PetscObject)eps,"EPSKrylovSchurGetLocking_C",NULL)); |
| 1689 |
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4696 | PetscCall(PetscObjectComposeFunction((PetscObject)eps,"EPSKrylovSchurSetPartitions_C",NULL)); |
| 1690 |
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4696 | PetscCall(PetscObjectComposeFunction((PetscObject)eps,"EPSKrylovSchurGetPartitions_C",NULL)); |
| 1691 |
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4696 | PetscCall(PetscObjectComposeFunction((PetscObject)eps,"EPSKrylovSchurSetDetectZeros_C",NULL)); |
| 1692 |
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4696 | PetscCall(PetscObjectComposeFunction((PetscObject)eps,"EPSKrylovSchurGetDetectZeros_C",NULL)); |
| 1693 |
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4696 | PetscCall(PetscObjectComposeFunction((PetscObject)eps,"EPSKrylovSchurSetDimensions_C",NULL)); |
| 1694 |
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4696 | PetscCall(PetscObjectComposeFunction((PetscObject)eps,"EPSKrylovSchurGetDimensions_C",NULL)); |
| 1695 |
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4696 | PetscCall(PetscObjectComposeFunction((PetscObject)eps,"EPSKrylovSchurSetSubintervals_C",NULL)); |
| 1696 |
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4696 | PetscCall(PetscObjectComposeFunction((PetscObject)eps,"EPSKrylovSchurGetSubintervals_C",NULL)); |
| 1697 |
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4696 | PetscCall(PetscObjectComposeFunction((PetscObject)eps,"EPSKrylovSchurGetInertias_C",NULL)); |
| 1698 |
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4696 | PetscCall(PetscObjectComposeFunction((PetscObject)eps,"EPSKrylovSchurGetSubcommInfo_C",NULL)); |
| 1699 |
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4696 | PetscCall(PetscObjectComposeFunction((PetscObject)eps,"EPSKrylovSchurGetSubcommPairs_C",NULL)); |
| 1700 |
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4696 | PetscCall(PetscObjectComposeFunction((PetscObject)eps,"EPSKrylovSchurGetSubcommMats_C",NULL)); |
| 1701 |
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4696 | PetscCall(PetscObjectComposeFunction((PetscObject)eps,"EPSKrylovSchurUpdateSubcommMats_C",NULL)); |
| 1702 |
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4696 | PetscCall(PetscObjectComposeFunction((PetscObject)eps,"EPSKrylovSchurGetKSP_C",NULL)); |
| 1703 |
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4696 | PetscCall(PetscObjectComposeFunction((PetscObject)eps,"EPSKrylovSchurSetBSEType_C",NULL)); |
| 1704 |
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4696 | PetscCall(PetscObjectComposeFunction((PetscObject)eps,"EPSKrylovSchurGetBSEType_C",NULL)); |
| 1705 |
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4696 | PetscCall(PetscObjectComposeFunction((PetscObject)eps,"EPSKrylovSchurSetLREPType_C",NULL)); |
| 1706 |
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4696 | PetscCall(PetscObjectComposeFunction((PetscObject)eps,"EPSKrylovSchurGetLREPType_C",NULL)); |
| 1707 |
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880 | PetscFunctionReturn(PETSC_SUCCESS); |
| 1708 | } | ||
| 1709 | |||
| 1710 | 6282 | static PetscErrorCode EPSReset_KrylovSchur(EPS eps) | |
| 1711 | { | ||
| 1712 | 6282 | PetscBool isfilt; | |
| 1713 | |||
| 1714 |
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6282 | PetscFunctionBegin; |
| 1715 |
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6282 | PetscCall(PetscObjectTypeCompare((PetscObject)eps->st,STFILTER,&isfilt)); |
| 1716 |
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6282 | if (eps->which==EPS_ALL && !isfilt) PetscCall(EPSReset_KrylovSchur_Slice(eps)); |
| 1717 |
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1181 | PetscFunctionReturn(PETSC_SUCCESS); |
| 1718 | } | ||
| 1719 | |||
| 1720 | 12160 | static PetscErrorCode EPSSetDefaultST_KrylovSchur(EPS eps) | |
| 1721 | { | ||
| 1722 |
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12160 | PetscFunctionBegin; |
| 1723 |
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12160 | if (eps->which==EPS_ALL) { |
| 1724 |
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1122 | if (!((PetscObject)eps->st)->type_name) PetscCall(STSetType(eps->st,STSINVERT)); |
| 1725 | } | ||
| 1726 |
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2274 | PetscFunctionReturn(PETSC_SUCCESS); |
| 1727 | } | ||
| 1728 | |||
| 1729 | /*MC | ||
| 1730 | EPSKRYLOVSCHUR - EPSKRYLOVSCHUR = "krylovschur" - Krylov-Schur method. | ||
| 1731 | |||
| 1732 | Notes: | ||
| 1733 | This is the default solver, and is recommended in most situations. | ||
| 1734 | |||
| 1735 | The implemented algorithm is the single-vector Krylov-Schur method proposed | ||
| 1736 | by {cite:t}`Ste01b` for non-Hermitian eigenproblems. When the problem is | ||
| 1737 | Hermitian, the solver will behave as a thick-restart Lanczos method | ||
| 1738 | {cite:p}`Wu00` with full reorthogonalization. | ||
| 1739 | |||
| 1740 | The solver includes support for many features\: | ||
| 1741 | - Harmonic extraction, see `EPSSetExtraction()`. | ||
| 1742 | - Inertia-based spectrum slicing to compute all eigenvalues in an interval, | ||
| 1743 | see {cite:p}`Cam12`. | ||
| 1744 | - Polynomial filter to compute eigenvalues in an interval via `STFILTER`. | ||
| 1745 | - Indefinite Lanczos to solve `EPS_GHIEP` problems. | ||
| 1746 | - Structured variants for problem types such as `EPS_BSE`. | ||
| 1747 | - A two-sided variant that also computes left eigenvectors. | ||
| 1748 | - Arbitrary selection of eigenvalues, see `EPSSetArbitrarySelection()`. | ||
| 1749 | |||
| 1750 | Developer Note: | ||
| 1751 | In the future, we would like to have a block version of Krylov-Schur. | ||
| 1752 | |||
| 1753 | Level: beginner | ||
| 1754 | |||
| 1755 | .seealso: [](ch:eps), `EPS`, `EPSType`, `EPSSetType()`, `EPSSetProblemType()`, `EPSSetExtraction()`, `EPSSetArbitrarySelection()`, `EPSSetTwoSided()` | ||
| 1756 | M*/ | ||
| 1757 | 4696 | SLEPC_EXTERN PetscErrorCode EPSCreate_KrylovSchur(EPS eps) | |
| 1758 | { | ||
| 1759 | 4696 | EPS_KRYLOVSCHUR *ctx; | |
| 1760 | |||
| 1761 |
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4696 | PetscFunctionBegin; |
| 1762 |
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4696 | PetscCall(PetscNew(&ctx)); |
| 1763 | 4696 | eps->data = (void*)ctx; | |
| 1764 | 4696 | ctx->lock = PETSC_TRUE; | |
| 1765 | 4696 | ctx->nev = 1; | |
| 1766 | 4696 | ctx->ncv = PETSC_DETERMINE; | |
| 1767 | 4696 | ctx->mpd = PETSC_DETERMINE; | |
| 1768 | 4696 | ctx->npart = 1; | |
| 1769 | 4696 | ctx->detect = PETSC_FALSE; | |
| 1770 | 4696 | ctx->global = PETSC_TRUE; | |
| 1771 | |||
| 1772 | 4696 | eps->useds = PETSC_TRUE; | |
| 1773 | |||
| 1774 | /* solve and computevectors determined at setup */ | ||
| 1775 | 4696 | eps->ops->setup = EPSSetUp_KrylovSchur; | |
| 1776 | 4696 | eps->ops->setupsort = EPSSetUpSort_KrylovSchur; | |
| 1777 | 4696 | eps->ops->setfromoptions = EPSSetFromOptions_KrylovSchur; | |
| 1778 | 4696 | eps->ops->destroy = EPSDestroy_KrylovSchur; | |
| 1779 | 4696 | eps->ops->reset = EPSReset_KrylovSchur; | |
| 1780 | 4696 | eps->ops->view = EPSView_KrylovSchur; | |
| 1781 | 4696 | eps->ops->backtransform = EPSBackTransform_Default; | |
| 1782 | 4696 | eps->ops->setdefaultst = EPSSetDefaultST_KrylovSchur; | |
| 1783 | |||
| 1784 |
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4696 | PetscCall(PetscObjectComposeFunction((PetscObject)eps,"EPSKrylovSchurSetRestart_C",EPSKrylovSchurSetRestart_KrylovSchur)); |
| 1785 |
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4696 | PetscCall(PetscObjectComposeFunction((PetscObject)eps,"EPSKrylovSchurGetRestart_C",EPSKrylovSchurGetRestart_KrylovSchur)); |
| 1786 |
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4696 | PetscCall(PetscObjectComposeFunction((PetscObject)eps,"EPSKrylovSchurSetLocking_C",EPSKrylovSchurSetLocking_KrylovSchur)); |
| 1787 |
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4696 | PetscCall(PetscObjectComposeFunction((PetscObject)eps,"EPSKrylovSchurGetLocking_C",EPSKrylovSchurGetLocking_KrylovSchur)); |
| 1788 |
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4696 | PetscCall(PetscObjectComposeFunction((PetscObject)eps,"EPSKrylovSchurSetPartitions_C",EPSKrylovSchurSetPartitions_KrylovSchur)); |
| 1789 |
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4696 | PetscCall(PetscObjectComposeFunction((PetscObject)eps,"EPSKrylovSchurGetPartitions_C",EPSKrylovSchurGetPartitions_KrylovSchur)); |
| 1790 |
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4696 | PetscCall(PetscObjectComposeFunction((PetscObject)eps,"EPSKrylovSchurSetDetectZeros_C",EPSKrylovSchurSetDetectZeros_KrylovSchur)); |
| 1791 |
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4696 | PetscCall(PetscObjectComposeFunction((PetscObject)eps,"EPSKrylovSchurGetDetectZeros_C",EPSKrylovSchurGetDetectZeros_KrylovSchur)); |
| 1792 |
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4696 | PetscCall(PetscObjectComposeFunction((PetscObject)eps,"EPSKrylovSchurSetDimensions_C",EPSKrylovSchurSetDimensions_KrylovSchur)); |
| 1793 |
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4696 | PetscCall(PetscObjectComposeFunction((PetscObject)eps,"EPSKrylovSchurGetDimensions_C",EPSKrylovSchurGetDimensions_KrylovSchur)); |
| 1794 |
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4696 | PetscCall(PetscObjectComposeFunction((PetscObject)eps,"EPSKrylovSchurSetSubintervals_C",EPSKrylovSchurSetSubintervals_KrylovSchur)); |
| 1795 |
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4696 | PetscCall(PetscObjectComposeFunction((PetscObject)eps,"EPSKrylovSchurGetSubintervals_C",EPSKrylovSchurGetSubintervals_KrylovSchur)); |
| 1796 |
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4696 | PetscCall(PetscObjectComposeFunction((PetscObject)eps,"EPSKrylovSchurGetInertias_C",EPSKrylovSchurGetInertias_KrylovSchur)); |
| 1797 |
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4696 | PetscCall(PetscObjectComposeFunction((PetscObject)eps,"EPSKrylovSchurGetSubcommInfo_C",EPSKrylovSchurGetSubcommInfo_KrylovSchur)); |
| 1798 |
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4696 | PetscCall(PetscObjectComposeFunction((PetscObject)eps,"EPSKrylovSchurGetSubcommPairs_C",EPSKrylovSchurGetSubcommPairs_KrylovSchur)); |
| 1799 |
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4696 | PetscCall(PetscObjectComposeFunction((PetscObject)eps,"EPSKrylovSchurGetSubcommMats_C",EPSKrylovSchurGetSubcommMats_KrylovSchur)); |
| 1800 |
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4696 | PetscCall(PetscObjectComposeFunction((PetscObject)eps,"EPSKrylovSchurUpdateSubcommMats_C",EPSKrylovSchurUpdateSubcommMats_KrylovSchur)); |
| 1801 |
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4696 | PetscCall(PetscObjectComposeFunction((PetscObject)eps,"EPSKrylovSchurGetKSP_C",EPSKrylovSchurGetKSP_KrylovSchur)); |
| 1802 |
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4696 | PetscCall(PetscObjectComposeFunction((PetscObject)eps,"EPSKrylovSchurSetBSEType_C",EPSKrylovSchurSetBSEType_KrylovSchur)); |
| 1803 |
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4696 | PetscCall(PetscObjectComposeFunction((PetscObject)eps,"EPSKrylovSchurGetBSEType_C",EPSKrylovSchurGetBSEType_KrylovSchur)); |
| 1804 |
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4696 | PetscCall(PetscObjectComposeFunction((PetscObject)eps,"EPSKrylovSchurSetLREPType_C",EPSKrylovSchurSetLREPType_KrylovSchur)); |
| 1805 |
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4696 | PetscCall(PetscObjectComposeFunction((PetscObject)eps,"EPSKrylovSchurGetLREPType_C",EPSKrylovSchurGetLREPType_KrylovSchur)); |
| 1806 |
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880 | PetscFunctionReturn(PETSC_SUCCESS); |
| 1807 | } | ||
| 1808 |