| 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 | EPS_FEATURE_THRESHOLD,PETSC_TRUE," with polynomial filter"); |
| 73 |
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178 | if (eps->tol==(PetscReal)PETSC_DETERMINE) eps->tol = SLEPC_DEFAULT_TOL*1e-2; /* use tighter tolerance */ |
| 74 |
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178 | PetscCall(STFilterSetInterval(eps->st,eps->inta,eps->intb)); |
| 75 |
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178 | if (!ctx->estimatedrange) { |
| 76 |
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148 | PetscCall(STFilterGetRange(eps->st,&rleft,&rright)); |
| 77 |
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148 | estimaterange = (!rleft && !rright)? PETSC_TRUE: PETSC_FALSE; |
| 78 | } | ||
| 79 |
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28 | if (estimaterange) { /* user did not set a range */ |
| 80 |
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118 | PetscCall(STGetMatrix(eps->st,0,&A)); |
| 81 |
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118 | PetscCall(MatEstimateSpectralRange_EPS(A,&rleft,&rright)); |
| 82 |
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118 | PetscCall(PetscInfo(eps,"Setting eigenvalue range to [%g,%g]\n",(double)rleft,(double)rright)); |
| 83 |
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118 | PetscCall(STFilterSetRange(eps->st,rleft,rright)); |
| 84 | 118 | ctx->estimatedrange = PETSC_TRUE; | |
| 85 | } | ||
| 86 |
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178 | if (eps->ncv==PETSC_DETERMINE && eps->nev==0) eps->nev = 40; /* user did not provide nev estimation */ |
| 87 |
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178 | PetscCall(EPSSetDimensions_Default(eps,&eps->nev,&eps->ncv,&eps->mpd)); |
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178 | PetscCheck(eps->ncv<=eps->nev+eps->mpd,PetscObjectComm((PetscObject)eps),PETSC_ERR_USER_INPUT,"The value of ncv must not be larger than nev+mpd"); |
| 89 |
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178 | if (eps->max_it==PETSC_DETERMINE) eps->max_it = PetscMax(100,2*eps->n/eps->ncv); |
| 90 |
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34 | PetscFunctionReturn(PETSC_SUCCESS); |
| 91 | } | ||
| 92 | |||
| 93 | 6121 | static PetscErrorCode EPSSetUp_KrylovSchur(EPS eps) | |
| 94 | { | ||
| 95 | 6121 | PetscReal eta; | |
| 96 | 6121 | PetscBool isfilt=PETSC_FALSE; | |
| 97 | 6121 | BVOrthogType otype; | |
| 98 | 6121 | BVOrthogBlockType obtype; | |
| 99 | 6121 | EPS_KRYLOVSCHUR *ctx = (EPS_KRYLOVSCHUR*)eps->data; | |
| 100 | 6121 | enum { EPS_KS_DEFAULT,EPS_KS_SYMM,EPS_KS_SLICE,EPS_KS_FILTER,EPS_KS_INDEF,EPS_KS_TWOSIDED } variant; | |
| 101 | |||
| 102 |
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6121 | PetscFunctionBegin; |
| 103 |
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6121 | if (eps->which==EPS_ALL) { /* default values in case of spectrum slicing or polynomial filter */ |
| 104 |
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572 | PetscCall(PetscObjectTypeCompare((PetscObject)eps->st,STFILTER,&isfilt)); |
| 105 |
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572 | if (isfilt) PetscCall(EPSSetUp_KrylovSchur_Filter(eps)); |
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394 | else PetscCall(EPSSetUp_KrylovSchur_Slice(eps)); |
| 107 |
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5549 | } else if (eps->isstructured) { |
| 108 |
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369 | if (eps->problem_type==EPS_BSE) PetscCall(EPSSetUp_KrylovSchur_BSE(eps)); |
| 109 |
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35 | else if (eps->problem_type==EPS_HAMILT) { |
| 110 |
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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"); |
| 111 |
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35 | PetscCall(EPSSetUp_KrylovSchur_Hamilt(eps)); |
| 112 | ✗ | } else SETERRQ(PetscObjectComm((PetscObject)eps),PETSC_ERR_SUP,"Unknown matrix structure"); | |
| 113 |
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223 | PetscFunctionReturn(PETSC_SUCCESS); |
| 114 | } else { | ||
| 115 |
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5180 | PetscCall(EPSSetDimensions_Default(eps,&eps->nev,&eps->ncv,&eps->mpd)); |
| 116 |
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5180 | PetscCheck(eps->ncv<=eps->nev+eps->mpd,PetscObjectComm((PetscObject)eps),PETSC_ERR_USER_INPUT,"The value of ncv must not be larger than nev+mpd"); |
| 117 |
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7505 | if (eps->max_it==PETSC_DETERMINE) eps->max_it = PetscMax(100,2*eps->n/eps->ncv)*((eps->stop==EPS_STOP_THRESHOLD)?10:1); |
| 118 |
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5180 | if (!eps->which) PetscCall(EPSSetWhichEigenpairs_Default(eps)); |
| 119 | } | ||
| 120 |
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5752 | PetscCheck(ctx->lock || eps->mpd>=eps->ncv,PetscObjectComm((PetscObject)eps),PETSC_ERR_SUP,"Should not use mpd parameter in non-locking variant"); |
| 121 | |||
| 122 |
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5752 | EPSCheckDefiniteCondition(eps,eps->arbitrary," with arbitrary selection of eigenpairs"); |
| 123 | |||
| 124 |
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5752 | PetscCheck(eps->extraction==EPS_RITZ || eps->extraction==EPS_HARMONIC,PetscObjectComm((PetscObject)eps),PETSC_ERR_SUP,"Unsupported extraction type"); |
| 125 | |||
| 126 |
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5752 | if (!ctx->keep) ctx->keep = 0.5; |
| 127 | |||
| 128 |
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5752 | PetscCall(EPSAllocateSolution(eps,1)); |
| 129 |
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5752 | PetscCall(EPS_SetInnerProduct(eps)); |
| 130 |
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5752 | if (eps->arbitrary) PetscCall(EPSSetWorkVecs(eps,2)); |
| 131 |
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5730 | else if (eps->ishermitian && !eps->ispositive) PetscCall(EPSSetWorkVecs(eps,1)); |
| 132 | |||
| 133 | /* dispatch solve method */ | ||
| 134 |
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5752 | if (eps->ishermitian) { |
| 135 |
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2840 | if (eps->which==EPS_ALL) { |
| 136 |
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572 | EPSCheckDefiniteCondition(eps,eps->which==EPS_ALL," with spectrum slicing"); |
| 137 |
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572 | variant = isfilt? EPS_KS_FILTER: EPS_KS_SLICE; |
| 138 |
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2268 | } else if (eps->isgeneralized && !eps->ispositive) { |
| 139 | variant = EPS_KS_INDEF; | ||
| 140 | } else { | ||
| 141 |
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2147 | switch (eps->extraction) { |
| 142 | case EPS_RITZ: variant = EPS_KS_SYMM; break; | ||
| 143 | case EPS_HARMONIC: variant = EPS_KS_DEFAULT; break; | ||
| 144 | ✗ | default: SETERRQ(PetscObjectComm((PetscObject)eps),PETSC_ERR_SUP,"Unsupported extraction type"); | |
| 145 | } | ||
| 146 | } | ||
| 147 |
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2912 | } else if (eps->twosided) { |
| 148 | variant = EPS_KS_TWOSIDED; | ||
| 149 | } else { | ||
| 150 |
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2753 | switch (eps->extraction) { |
| 151 | case EPS_RITZ: variant = EPS_KS_DEFAULT; break; | ||
| 152 | case EPS_HARMONIC: variant = EPS_KS_DEFAULT; break; | ||
| 153 | ✗ | default: SETERRQ(PetscObjectComm((PetscObject)eps),PETSC_ERR_SUP,"Unsupported extraction type"); | |
| 154 | } | ||
| 155 | } | ||
| 156 | 674 | switch (variant) { | |
| 157 | 2813 | case EPS_KS_DEFAULT: | |
| 158 | 2813 | eps->ops->solve = EPSSolve_KrylovSchur_Default; | |
| 159 | 2813 | eps->ops->computevectors = EPSComputeVectors_Schur; | |
| 160 |
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2813 | PetscCall(DSSetType(eps->ds,DSNHEP)); |
| 161 |
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2813 | PetscCall(DSSetExtraRow(eps->ds,PETSC_TRUE)); |
| 162 |
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2813 | PetscCall(DSAllocate(eps->ds,eps->ncv+1)); |
| 163 | break; | ||
| 164 | 2265 | case EPS_KS_SYMM: | |
| 165 | case EPS_KS_FILTER: | ||
| 166 | 2265 | eps->ops->solve = EPSSolve_KrylovSchur_Default; | |
| 167 | 2265 | eps->ops->computevectors = EPSComputeVectors_Hermitian; | |
| 168 |
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2265 | PetscCall(DSSetType(eps->ds,DSHEP)); |
| 169 |
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2265 | PetscCall(DSSetCompact(eps->ds,PETSC_TRUE)); |
| 170 |
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2265 | PetscCall(DSSetExtraRow(eps->ds,PETSC_TRUE)); |
| 171 |
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2265 | PetscCall(DSAllocate(eps->ds,eps->ncv+1)); |
| 172 | break; | ||
| 173 | case EPS_KS_SLICE: | ||
| 174 | 394 | eps->ops->solve = EPSSolve_KrylovSchur_Slice; | |
| 175 | 394 | eps->ops->computevectors = EPSComputeVectors_Slice; | |
| 176 | 394 | break; | |
| 177 | case EPS_KS_INDEF: | ||
| 178 | 121 | eps->ops->solve = EPSSolve_KrylovSchur_Indefinite; | |
| 179 | 121 | eps->ops->computevectors = EPSComputeVectors_Indefinite; | |
| 180 |
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121 | PetscCall(DSSetType(eps->ds,DSGHIEP)); |
| 181 |
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121 | PetscCall(DSSetCompact(eps->ds,PETSC_TRUE)); |
| 182 |
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121 | PetscCall(DSSetExtraRow(eps->ds,PETSC_TRUE)); |
| 183 |
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121 | PetscCall(DSAllocate(eps->ds,eps->ncv+1)); |
| 184 | /* force reorthogonalization for pseudo-Lanczos */ | ||
| 185 |
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121 | PetscCall(BVGetOrthogonalization(eps->V,&otype,NULL,&eta,&obtype)); |
| 186 |
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121 | PetscCall(BVSetOrthogonalization(eps->V,otype,BV_ORTHOG_REFINE_ALWAYS,eta,obtype)); |
| 187 | break; | ||
| 188 | case EPS_KS_TWOSIDED: | ||
| 189 | 159 | eps->ops->solve = EPSSolve_KrylovSchur_TwoSided; | |
| 190 | 159 | eps->ops->computevectors = EPSComputeVectors_Schur; | |
| 191 |
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159 | PetscCall(DSSetType(eps->ds,DSNHEPTS)); |
| 192 |
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159 | PetscCall(DSAllocate(eps->ds,eps->ncv+1)); |
| 193 |
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159 | PetscCall(DSSetExtraRow(eps->ds,PETSC_TRUE)); |
| 194 | break; | ||
| 195 | 1084 | default: SETERRQ(PetscObjectComm((PetscObject)eps),PETSC_ERR_PLIB,"Unexpected error"); | |
| 196 | } | ||
| 197 |
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1084 | PetscFunctionReturn(PETSC_SUCCESS); |
| 198 | } | ||
| 199 | |||
| 200 | 6121 | static PetscErrorCode EPSSetUpSort_KrylovSchur(EPS eps) | |
| 201 | { | ||
| 202 | 6121 | EPS_KRYLOVSCHUR *ctx = (EPS_KRYLOVSCHUR*)eps->data; | |
| 203 | 6121 | SlepcSC sc; | |
| 204 | 6121 | PetscBool isfilt; | |
| 205 | |||
| 206 |
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6121 | PetscFunctionBegin; |
| 207 |
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6121 | PetscCall(EPSSetUpSort_Default(eps)); |
| 208 |
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6121 | if (eps->which==EPS_ALL) { |
| 209 |
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572 | PetscCall(PetscObjectTypeCompare((PetscObject)eps->st,STFILTER,&isfilt)); |
| 210 |
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572 | if (isfilt) { |
| 211 |
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178 | PetscCall(DSGetSlepcSC(eps->ds,&sc)); |
| 212 | 178 | sc->rg = NULL; | |
| 213 | 178 | sc->comparison = SlepcCompareLargestReal; | |
| 214 | 178 | sc->comparisonctx = NULL; | |
| 215 | 178 | sc->map = NULL; | |
| 216 | 178 | sc->mapobj = NULL; | |
| 217 | } else { | ||
| 218 |
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394 | if (!ctx->global && ctx->sr->numEigs>0) { |
| 219 |
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197 | PetscCall(DSGetSlepcSC(eps->ds,&sc)); |
| 220 | 197 | sc->rg = NULL; | |
| 221 | 197 | sc->comparison = SlepcCompareLargestMagnitude; | |
| 222 | 197 | sc->comparisonctx = NULL; | |
| 223 | 197 | sc->map = NULL; | |
| 224 | 197 | sc->mapobj = NULL; | |
| 225 | } | ||
| 226 | } | ||
| 227 | } | ||
| 228 |
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1141 | PetscFunctionReturn(PETSC_SUCCESS); |
| 229 | } | ||
| 230 | |||
| 231 | 5078 | PetscErrorCode EPSSolve_KrylovSchur_Default(EPS eps) | |
| 232 | { | ||
| 233 | 5078 | EPS_KRYLOVSCHUR *ctx = (EPS_KRYLOVSCHUR*)eps->data; | |
| 234 | 5078 | PetscInt i,j,*pj,k,l,nv,ld,nconv; | |
| 235 | 5078 | Mat U,Op,H,T; | |
| 236 | 5078 | PetscScalar *g; | |
| 237 | 5078 | PetscReal beta,gamma=1.0; | |
| 238 | 5078 | PetscBool breakdown,harmonic,hermitian; | |
| 239 | |||
| 240 |
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5078 | PetscFunctionBegin; |
| 241 |
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5078 | PetscCall(DSGetLeadingDimension(eps->ds,&ld)); |
| 242 | 5078 | harmonic = (eps->extraction==EPS_HARMONIC || eps->extraction==EPS_REFINED_HARMONIC)?PETSC_TRUE:PETSC_FALSE; | |
| 243 |
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5078 | hermitian = (eps->ishermitian && !harmonic)?PETSC_TRUE:PETSC_FALSE; |
| 244 |
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3236 | if (harmonic) PetscCall(PetscMalloc1(ld,&g)); |
| 245 |
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5078 | if (eps->arbitrary) pj = &j; |
| 246 | 5056 | else pj = NULL; | |
| 247 | |||
| 248 | /* Get the starting Arnoldi vector */ | ||
| 249 |
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5078 | PetscCall(EPSGetStartVector(eps,0,NULL)); |
| 250 | 5078 | l = 0; | |
| 251 | |||
| 252 | /* Restart loop */ | ||
| 253 | 5078 | while (eps->reason == EPS_CONVERGED_ITERATING) { | |
| 254 | 31975 | eps->its++; | |
| 255 | |||
| 256 | /* Compute an nv-step Arnoldi factorization */ | ||
| 257 | 31975 | nv = PetscMin(eps->nconv+eps->mpd,eps->ncv); | |
| 258 |
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31975 | PetscCall(DSSetDimensions(eps->ds,nv,eps->nconv,eps->nconv+l)); |
| 259 |
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31975 | PetscCall(STGetOperator(eps->st,&Op)); |
| 260 |
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31975 | if (hermitian) { |
| 261 |
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19698 | PetscCall(DSGetMat(eps->ds,DS_MAT_T,&T)); |
| 262 |
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19698 | PetscCall(BVMatLanczos(eps->V,Op,T,eps->nconv+l,&nv,&beta,&breakdown)); |
| 263 |
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19698 | PetscCall(DSRestoreMat(eps->ds,DS_MAT_T,&T)); |
| 264 | } else { | ||
| 265 |
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12277 | PetscCall(DSGetMat(eps->ds,DS_MAT_A,&H)); |
| 266 |
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12277 | PetscCall(BVMatArnoldi(eps->V,Op,H,eps->nconv+l,&nv,&beta,&breakdown)); |
| 267 |
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12277 | PetscCall(DSRestoreMat(eps->ds,DS_MAT_A,&H)); |
| 268 | } | ||
| 269 |
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31975 | PetscCall(STRestoreOperator(eps->st,&Op)); |
| 270 |
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31975 | PetscCall(DSSetDimensions(eps->ds,nv,eps->nconv,eps->nconv+l)); |
| 271 |
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31975 | PetscCall(DSSetState(eps->ds,l?DS_STATE_RAW:DS_STATE_INTERMEDIATE)); |
| 272 |
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31975 | PetscCall(BVSetActiveColumns(eps->V,eps->nconv,nv)); |
| 273 | |||
| 274 | /* Compute translation of Krylov decomposition if harmonic extraction used */ | ||
| 275 |
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31975 | if (PetscUnlikely(harmonic)) PetscCall(DSTranslateHarmonic(eps->ds,eps->target,beta,PETSC_FALSE,g,&gamma)); |
| 276 | |||
| 277 | /* Solve projected problem */ | ||
| 278 |
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31975 | PetscCall(DSSolve(eps->ds,eps->eigr,eps->eigi)); |
| 279 |
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31975 | if (PetscUnlikely(eps->arbitrary)) { |
| 280 |
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221 | PetscCall(EPSGetArbitraryValues(eps,eps->rr,eps->ri)); |
| 281 | 221 | j=1; | |
| 282 | } | ||
| 283 |
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31975 | PetscCall(DSSort(eps->ds,eps->eigr,eps->eigi,eps->rr,eps->ri,pj)); |
| 284 |
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31975 | PetscCall(DSUpdateExtraRow(eps->ds)); |
| 285 |
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31975 | PetscCall(DSSynchronize(eps->ds,eps->eigr,eps->eigi)); |
| 286 | |||
| 287 | /* Check convergence */ | ||
| 288 |
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31975 | PetscCall(EPSKrylovConvergence(eps,PETSC_FALSE,eps->nconv,nv-eps->nconv,beta,0.0,gamma,&k)); |
| 289 |
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31975 | EPSSetCtxThreshold(eps,eps->eigr,eps->eigi,k); |
| 290 |
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31975 | PetscCall((*eps->stopping)(eps,eps->its,eps->max_it,k,eps->nev,&eps->reason,eps->stoppingctx)); |
| 291 | 31975 | nconv = k; | |
| 292 | |||
| 293 | /* Update l */ | ||
| 294 |
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31975 | if (eps->reason != EPS_CONVERGED_ITERATING || breakdown || k==nv) l = 0; |
| 295 | else { | ||
| 296 | 26897 | l = PetscMax(1,(PetscInt)((nv-k)*ctx->keep)); | |
| 297 |
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26897 | if (!hermitian) PetscCall(DSGetTruncateSize(eps->ds,k,nv,&l)); |
| 298 | } | ||
| 299 |
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31975 | if (!ctx->lock && l>0) { l += k; k = 0; } /* non-locking variant: reset no. of converged pairs */ |
| 300 |
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31975 | if (l) PetscCall(PetscInfo(eps,"Preparing to restart keeping l=%" PetscInt_FMT " vectors\n",l)); |
| 301 | |||
| 302 |
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31975 | if (eps->reason == EPS_CONVERGED_ITERATING) { |
| 303 |
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26897 | if (PetscUnlikely(breakdown || k==nv)) { |
| 304 | /* Start a new Arnoldi factorization */ | ||
| 305 | ✗ | PetscCall(PetscInfo(eps,"Breakdown in Krylov-Schur method (it=%" PetscInt_FMT " norm=%g)\n",eps->its,(double)beta)); | |
| 306 | ✗ | if (k<eps->nev) { | |
| 307 | ✗ | PetscCall(EPSGetStartVector(eps,k,&breakdown)); | |
| 308 | ✗ | if (breakdown) { | |
| 309 | ✗ | eps->reason = EPS_DIVERGED_BREAKDOWN; | |
| 310 | ✗ | PetscCall(PetscInfo(eps,"Unable to generate more start vectors\n")); | |
| 311 | } | ||
| 312 | } | ||
| 313 | } else { | ||
| 314 | /* Undo translation of Krylov decomposition */ | ||
| 315 |
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26897 | if (PetscUnlikely(harmonic)) { |
| 316 |
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273 | PetscCall(DSSetDimensions(eps->ds,nv,k,l)); |
| 317 |
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273 | PetscCall(DSTranslateHarmonic(eps->ds,0.0,beta,PETSC_TRUE,g,&gamma)); |
| 318 | /* gamma u^ = u - U*g~ */ | ||
| 319 |
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273 | PetscCall(BVSetActiveColumns(eps->V,0,nv)); |
| 320 |
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273 | PetscCall(BVMultColumn(eps->V,-1.0,1.0,nv,g)); |
| 321 |
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273 | PetscCall(BVScaleColumn(eps->V,nv,1.0/gamma)); |
| 322 |
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273 | PetscCall(BVSetActiveColumns(eps->V,eps->nconv,nv)); |
| 323 |
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273 | PetscCall(DSSetDimensions(eps->ds,nv,k,nv)); |
| 324 | } | ||
| 325 | /* Prepare the Rayleigh quotient for restart */ | ||
| 326 |
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26897 | PetscCall(DSTruncate(eps->ds,k+l,PETSC_FALSE)); |
| 327 | } | ||
| 328 | } | ||
| 329 | /* Update the corresponding vectors V(:,idx) = V*Q(:,idx) */ | ||
| 330 |
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31975 | PetscCall(DSGetMat(eps->ds,DS_MAT_Q,&U)); |
| 331 |
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31975 | PetscCall(BVMultInPlace(eps->V,U,eps->nconv,k+l)); |
| 332 |
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31975 | PetscCall(DSRestoreMat(eps->ds,DS_MAT_Q,&U)); |
| 333 | |||
| 334 |
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31975 | if (eps->reason == EPS_CONVERGED_ITERATING && !breakdown) { |
| 335 |
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26897 | PetscCall(BVCopyColumn(eps->V,nv,k+l)); /* copy restart vector from the last column */ |
| 336 |
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26897 | if (eps->stop==EPS_STOP_THRESHOLD && nv-k<5) { /* reallocate */ |
| 337 | 28 | eps->ncv = eps->mpd+k; | |
| 338 |
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28 | PetscCall(EPSReallocateSolution(eps,eps->ncv+1)); |
| 339 |
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222 | for (i=nv;i<eps->ncv;i++) eps->perm[i] = i; |
| 340 |
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28 | PetscCall(DSReallocate(eps->ds,eps->ncv+1)); |
| 341 |
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28 | PetscCall(DSGetLeadingDimension(eps->ds,&ld)); |
| 342 | } | ||
| 343 | } | ||
| 344 | |||
| 345 | 31975 | eps->nconv = k; | |
| 346 |
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37053 | PetscCall(EPSMonitor(eps,eps->its,nconv,eps->eigr,eps->eigi,eps->errest,nv)); |
| 347 | } | ||
| 348 | |||
| 349 |
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5078 | if (harmonic) PetscCall(PetscFree(g)); |
| 350 |
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5078 | PetscCall(DSTruncate(eps->ds,eps->nconv,PETSC_TRUE)); |
| 351 |
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956 | PetscFunctionReturn(PETSC_SUCCESS); |
| 352 | } | ||
| 353 | |||
| 354 | 85 | static PetscErrorCode EPSKrylovSchurSetRestart_KrylovSchur(EPS eps,PetscReal keep) | |
| 355 | { | ||
| 356 | 85 | EPS_KRYLOVSCHUR *ctx = (EPS_KRYLOVSCHUR*)eps->data; | |
| 357 | |||
| 358 |
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85 | PetscFunctionBegin; |
| 359 |
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85 | if (keep==(PetscReal)PETSC_DEFAULT || keep==(PetscReal)PETSC_DECIDE) ctx->keep = 0.5; |
| 360 | else { | ||
| 361 |
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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); |
| 362 | 85 | ctx->keep = keep; | |
| 363 | } | ||
| 364 |
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13 | PetscFunctionReturn(PETSC_SUCCESS); |
| 365 | } | ||
| 366 | |||
| 367 | /*@ | ||
| 368 | EPSKrylovSchurSetRestart - Sets the restart parameter for the Krylov-Schur | ||
| 369 | method, in particular the proportion of basis vectors that must be kept | ||
| 370 | after restart. | ||
| 371 | |||
| 372 | Logically Collective | ||
| 373 | |||
| 374 | Input Parameters: | ||
| 375 | + eps - the eigenproblem solver context | ||
| 376 | - keep - the number of vectors to be kept at restart | ||
| 377 | |||
| 378 | Options Database Key: | ||
| 379 | . -eps_krylovschur_restart - Sets the restart parameter | ||
| 380 | |||
| 381 | Notes: | ||
| 382 | Allowed values are in the range [0.1,0.9]. The default is 0.5. | ||
| 383 | |||
| 384 | Level: advanced | ||
| 385 | |||
| 386 | .seealso: EPSKrylovSchurGetRestart() | ||
| 387 | @*/ | ||
| 388 | 87 | PetscErrorCode EPSKrylovSchurSetRestart(EPS eps,PetscReal keep) | |
| 389 | { | ||
| 390 |
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87 | PetscFunctionBegin; |
| 391 |
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87 | PetscValidHeaderSpecific(eps,EPS_CLASSID,1); |
| 392 |
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87 | PetscValidLogicalCollectiveReal(eps,keep,2); |
| 393 |
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87 | PetscTryMethod(eps,"EPSKrylovSchurSetRestart_C",(EPS,PetscReal),(eps,keep)); |
| 394 |
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87 | PetscFunctionReturn(PETSC_SUCCESS); |
| 395 | } | ||
| 396 | |||
| 397 | 84 | static PetscErrorCode EPSKrylovSchurGetRestart_KrylovSchur(EPS eps,PetscReal *keep) | |
| 398 | { | ||
| 399 | 84 | EPS_KRYLOVSCHUR *ctx = (EPS_KRYLOVSCHUR*)eps->data; | |
| 400 | |||
| 401 |
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84 | PetscFunctionBegin; |
| 402 | 84 | *keep = ctx->keep; | |
| 403 |
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84 | PetscFunctionReturn(PETSC_SUCCESS); |
| 404 | } | ||
| 405 | |||
| 406 | /*@ | ||
| 407 | EPSKrylovSchurGetRestart - Gets the restart parameter used in the | ||
| 408 | Krylov-Schur method. | ||
| 409 | |||
| 410 | Not Collective | ||
| 411 | |||
| 412 | Input Parameter: | ||
| 413 | . eps - the eigenproblem solver context | ||
| 414 | |||
| 415 | Output Parameter: | ||
| 416 | . keep - the restart parameter | ||
| 417 | |||
| 418 | Level: advanced | ||
| 419 | |||
| 420 | .seealso: EPSKrylovSchurSetRestart() | ||
| 421 | @*/ | ||
| 422 | 84 | PetscErrorCode EPSKrylovSchurGetRestart(EPS eps,PetscReal *keep) | |
| 423 | { | ||
| 424 |
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84 | PetscFunctionBegin; |
| 425 |
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84 | PetscValidHeaderSpecific(eps,EPS_CLASSID,1); |
| 426 |
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84 | PetscAssertPointer(keep,2); |
| 427 |
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84 | PetscUseMethod(eps,"EPSKrylovSchurGetRestart_C",(EPS,PetscReal*),(eps,keep)); |
| 428 |
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84 | PetscFunctionReturn(PETSC_SUCCESS); |
| 429 | } | ||
| 430 | |||
| 431 | 419 | static PetscErrorCode EPSKrylovSchurSetLocking_KrylovSchur(EPS eps,PetscBool lock) | |
| 432 | { | ||
| 433 | 419 | EPS_KRYLOVSCHUR *ctx = (EPS_KRYLOVSCHUR*)eps->data; | |
| 434 | |||
| 435 |
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419 | PetscFunctionBegin; |
| 436 | 419 | ctx->lock = lock; | |
| 437 |
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419 | PetscFunctionReturn(PETSC_SUCCESS); |
| 438 | } | ||
| 439 | |||
| 440 | /*@ | ||
| 441 | EPSKrylovSchurSetLocking - Choose between locking and non-locking variants of | ||
| 442 | the Krylov-Schur method. | ||
| 443 | |||
| 444 | Logically Collective | ||
| 445 | |||
| 446 | Input Parameters: | ||
| 447 | + eps - the eigenproblem solver context | ||
| 448 | - lock - true if the locking variant must be selected | ||
| 449 | |||
| 450 | Options Database Key: | ||
| 451 | . -eps_krylovschur_locking - Sets the locking flag | ||
| 452 | |||
| 453 | Notes: | ||
| 454 | The default is to lock converged eigenpairs when the method restarts. | ||
| 455 | This behaviour can be changed so that all directions are kept in the | ||
| 456 | working subspace even if already converged to working accuracy (the | ||
| 457 | non-locking variant). | ||
| 458 | |||
| 459 | Level: advanced | ||
| 460 | |||
| 461 | .seealso: EPSKrylovSchurGetLocking() | ||
| 462 | @*/ | ||
| 463 | 419 | PetscErrorCode EPSKrylovSchurSetLocking(EPS eps,PetscBool lock) | |
| 464 | { | ||
| 465 |
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419 | PetscFunctionBegin; |
| 466 |
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419 | PetscValidHeaderSpecific(eps,EPS_CLASSID,1); |
| 467 |
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419 | PetscValidLogicalCollectiveBool(eps,lock,2); |
| 468 |
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419 | PetscTryMethod(eps,"EPSKrylovSchurSetLocking_C",(EPS,PetscBool),(eps,lock)); |
| 469 |
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419 | PetscFunctionReturn(PETSC_SUCCESS); |
| 470 | } | ||
| 471 | |||
| 472 | 84 | static PetscErrorCode EPSKrylovSchurGetLocking_KrylovSchur(EPS eps,PetscBool *lock) | |
| 473 | { | ||
| 474 | 84 | EPS_KRYLOVSCHUR *ctx = (EPS_KRYLOVSCHUR*)eps->data; | |
| 475 | |||
| 476 |
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84 | PetscFunctionBegin; |
| 477 | 84 | *lock = ctx->lock; | |
| 478 |
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84 | PetscFunctionReturn(PETSC_SUCCESS); |
| 479 | } | ||
| 480 | |||
| 481 | /*@ | ||
| 482 | EPSKrylovSchurGetLocking - Gets the locking flag used in the Krylov-Schur | ||
| 483 | method. | ||
| 484 | |||
| 485 | Not Collective | ||
| 486 | |||
| 487 | Input Parameter: | ||
| 488 | . eps - the eigenproblem solver context | ||
| 489 | |||
| 490 | Output Parameter: | ||
| 491 | . lock - the locking flag | ||
| 492 | |||
| 493 | Level: advanced | ||
| 494 | |||
| 495 | .seealso: EPSKrylovSchurSetLocking() | ||
| 496 | @*/ | ||
| 497 | 84 | PetscErrorCode EPSKrylovSchurGetLocking(EPS eps,PetscBool *lock) | |
| 498 | { | ||
| 499 |
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84 | PetscFunctionBegin; |
| 500 |
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84 | PetscValidHeaderSpecific(eps,EPS_CLASSID,1); |
| 501 |
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84 | PetscAssertPointer(lock,2); |
| 502 |
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84 | PetscUseMethod(eps,"EPSKrylovSchurGetLocking_C",(EPS,PetscBool*),(eps,lock)); |
| 503 |
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84 | PetscFunctionReturn(PETSC_SUCCESS); |
| 504 | } | ||
| 505 | |||
| 506 | 77 | static PetscErrorCode EPSKrylovSchurSetPartitions_KrylovSchur(EPS eps,PetscInt npart) | |
| 507 | { | ||
| 508 | 77 | EPS_KRYLOVSCHUR *ctx = (EPS_KRYLOVSCHUR*)eps->data; | |
| 509 | 77 | PetscMPIInt size; | |
| 510 | 77 | PetscInt newnpart; | |
| 511 | |||
| 512 |
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77 | PetscFunctionBegin; |
| 513 |
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77 | if (npart == PETSC_DEFAULT || npart == PETSC_DECIDE) { |
| 514 | newnpart = 1; | ||
| 515 | } else { | ||
| 516 |
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77 | PetscCallMPI(MPI_Comm_size(PetscObjectComm((PetscObject)eps),&size)); |
| 517 |
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77 | PetscCheck(npart>0 && npart<=size,PetscObjectComm((PetscObject)eps),PETSC_ERR_ARG_OUTOFRANGE,"Illegal value of npart"); |
| 518 | newnpart = npart; | ||
| 519 | } | ||
| 520 |
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77 | if (ctx->npart!=newnpart) { |
| 521 |
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77 | if (ctx->npart>1) { |
| 522 | ✗ | PetscCall(PetscSubcommDestroy(&ctx->subc)); | |
| 523 | ✗ | if (ctx->commset) { | |
| 524 | ✗ | PetscCallMPI(MPI_Comm_free(&ctx->commrank)); | |
| 525 | ✗ | ctx->commset = PETSC_FALSE; | |
| 526 | } | ||
| 527 | } | ||
| 528 |
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77 | PetscCall(EPSDestroy(&ctx->eps)); |
| 529 | 77 | ctx->npart = newnpart; | |
| 530 | 77 | eps->state = EPS_STATE_INITIAL; | |
| 531 | } | ||
| 532 |
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10 | PetscFunctionReturn(PETSC_SUCCESS); |
| 533 | } | ||
| 534 | |||
| 535 | /*@ | ||
| 536 | EPSKrylovSchurSetPartitions - Sets the number of partitions for the | ||
| 537 | case of doing spectrum slicing for a computational interval with the | ||
| 538 | communicator split in several sub-communicators. | ||
| 539 | |||
| 540 | Logically Collective | ||
| 541 | |||
| 542 | Input Parameters: | ||
| 543 | + eps - the eigenproblem solver context | ||
| 544 | - npart - number of partitions | ||
| 545 | |||
| 546 | Options Database Key: | ||
| 547 | . -eps_krylovschur_partitions <npart> - Sets the number of partitions | ||
| 548 | |||
| 549 | Notes: | ||
| 550 | By default, npart=1 so all processes in the communicator participate in | ||
| 551 | the processing of the whole interval. If npart>1 then the interval is | ||
| 552 | divided into npart subintervals, each of them being processed by a | ||
| 553 | subset of processes. | ||
| 554 | |||
| 555 | The interval is split proportionally unless the separation points are | ||
| 556 | specified with EPSKrylovSchurSetSubintervals(). | ||
| 557 | |||
| 558 | Level: advanced | ||
| 559 | |||
| 560 | .seealso: EPSKrylovSchurSetSubintervals(), EPSSetInterval() | ||
| 561 | @*/ | ||
| 562 | 77 | PetscErrorCode EPSKrylovSchurSetPartitions(EPS eps,PetscInt npart) | |
| 563 | { | ||
| 564 |
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77 | PetscFunctionBegin; |
| 565 |
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77 | PetscValidHeaderSpecific(eps,EPS_CLASSID,1); |
| 566 |
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77 | PetscValidLogicalCollectiveInt(eps,npart,2); |
| 567 |
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77 | PetscTryMethod(eps,"EPSKrylovSchurSetPartitions_C",(EPS,PetscInt),(eps,npart)); |
| 568 |
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77 | PetscFunctionReturn(PETSC_SUCCESS); |
| 569 | } | ||
| 570 | |||
| 571 | 44 | static PetscErrorCode EPSKrylovSchurGetPartitions_KrylovSchur(EPS eps,PetscInt *npart) | |
| 572 | { | ||
| 573 | 44 | EPS_KRYLOVSCHUR *ctx = (EPS_KRYLOVSCHUR*)eps->data; | |
| 574 | |||
| 575 |
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44 | PetscFunctionBegin; |
| 576 | 44 | *npart = ctx->npart; | |
| 577 |
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44 | PetscFunctionReturn(PETSC_SUCCESS); |
| 578 | } | ||
| 579 | |||
| 580 | /*@ | ||
| 581 | EPSKrylovSchurGetPartitions - Gets the number of partitions of the | ||
| 582 | communicator in case of spectrum slicing. | ||
| 583 | |||
| 584 | Not Collective | ||
| 585 | |||
| 586 | Input Parameter: | ||
| 587 | . eps - the eigenproblem solver context | ||
| 588 | |||
| 589 | Output Parameter: | ||
| 590 | . npart - number of partitions | ||
| 591 | |||
| 592 | Level: advanced | ||
| 593 | |||
| 594 | .seealso: EPSKrylovSchurSetPartitions() | ||
| 595 | @*/ | ||
| 596 | 44 | PetscErrorCode EPSKrylovSchurGetPartitions(EPS eps,PetscInt *npart) | |
| 597 | { | ||
| 598 |
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44 | PetscFunctionBegin; |
| 599 |
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44 | PetscValidHeaderSpecific(eps,EPS_CLASSID,1); |
| 600 |
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44 | PetscAssertPointer(npart,2); |
| 601 |
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44 | PetscUseMethod(eps,"EPSKrylovSchurGetPartitions_C",(EPS,PetscInt*),(eps,npart)); |
| 602 |
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44 | PetscFunctionReturn(PETSC_SUCCESS); |
| 603 | } | ||
| 604 | |||
| 605 | 32 | static PetscErrorCode EPSKrylovSchurSetDetectZeros_KrylovSchur(EPS eps,PetscBool detect) | |
| 606 | { | ||
| 607 | 32 | EPS_KRYLOVSCHUR *ctx = (EPS_KRYLOVSCHUR*)eps->data; | |
| 608 | |||
| 609 |
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32 | PetscFunctionBegin; |
| 610 | 32 | ctx->detect = detect; | |
| 611 | 32 | eps->state = EPS_STATE_INITIAL; | |
| 612 |
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32 | PetscFunctionReturn(PETSC_SUCCESS); |
| 613 | } | ||
| 614 | |||
| 615 | /*@ | ||
| 616 | EPSKrylovSchurSetDetectZeros - Sets a flag to enforce detection of | ||
| 617 | zeros during the factorizations throughout the spectrum slicing computation. | ||
| 618 | |||
| 619 | Logically Collective | ||
| 620 | |||
| 621 | Input Parameters: | ||
| 622 | + eps - the eigenproblem solver context | ||
| 623 | - detect - check for zeros | ||
| 624 | |||
| 625 | Options Database Key: | ||
| 626 | . -eps_krylovschur_detect_zeros - Check for zeros; this takes an optional | ||
| 627 | bool value (0/1/no/yes/true/false) | ||
| 628 | |||
| 629 | Notes: | ||
| 630 | A zero in the factorization indicates that a shift coincides with an eigenvalue. | ||
| 631 | |||
| 632 | This flag is turned off by default, and may be necessary in some cases, | ||
| 633 | especially when several partitions are being used. This feature currently | ||
| 634 | requires an external package for factorizations with support for zero | ||
| 635 | detection, e.g. MUMPS. | ||
| 636 | |||
| 637 | Level: advanced | ||
| 638 | |||
| 639 | .seealso: EPSKrylovSchurSetPartitions(), EPSSetInterval() | ||
| 640 | @*/ | ||
| 641 | 32 | PetscErrorCode EPSKrylovSchurSetDetectZeros(EPS eps,PetscBool detect) | |
| 642 | { | ||
| 643 |
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32 | PetscFunctionBegin; |
| 644 |
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32 | PetscValidHeaderSpecific(eps,EPS_CLASSID,1); |
| 645 |
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32 | PetscValidLogicalCollectiveBool(eps,detect,2); |
| 646 |
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32 | PetscTryMethod(eps,"EPSKrylovSchurSetDetectZeros_C",(EPS,PetscBool),(eps,detect)); |
| 647 |
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32 | PetscFunctionReturn(PETSC_SUCCESS); |
| 648 | } | ||
| 649 | |||
| 650 | 60 | static PetscErrorCode EPSKrylovSchurGetDetectZeros_KrylovSchur(EPS eps,PetscBool *detect) | |
| 651 | { | ||
| 652 | 60 | EPS_KRYLOVSCHUR *ctx = (EPS_KRYLOVSCHUR*)eps->data; | |
| 653 | |||
| 654 |
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60 | PetscFunctionBegin; |
| 655 | 60 | *detect = ctx->detect; | |
| 656 |
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60 | PetscFunctionReturn(PETSC_SUCCESS); |
| 657 | } | ||
| 658 | |||
| 659 | /*@ | ||
| 660 | EPSKrylovSchurGetDetectZeros - Gets the flag that enforces zero detection | ||
| 661 | in spectrum slicing. | ||
| 662 | |||
| 663 | Not Collective | ||
| 664 | |||
| 665 | Input Parameter: | ||
| 666 | . eps - the eigenproblem solver context | ||
| 667 | |||
| 668 | Output Parameter: | ||
| 669 | . detect - whether zeros detection is enforced during factorizations | ||
| 670 | |||
| 671 | Level: advanced | ||
| 672 | |||
| 673 | .seealso: EPSKrylovSchurSetDetectZeros() | ||
| 674 | @*/ | ||
| 675 | 60 | PetscErrorCode EPSKrylovSchurGetDetectZeros(EPS eps,PetscBool *detect) | |
| 676 | { | ||
| 677 |
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60 | PetscFunctionBegin; |
| 678 |
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60 | PetscValidHeaderSpecific(eps,EPS_CLASSID,1); |
| 679 |
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60 | PetscAssertPointer(detect,2); |
| 680 |
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60 | PetscUseMethod(eps,"EPSKrylovSchurGetDetectZeros_C",(EPS,PetscBool*),(eps,detect)); |
| 681 |
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60 | PetscFunctionReturn(PETSC_SUCCESS); |
| 682 | } | ||
| 683 | |||
| 684 | 42 | static PetscErrorCode EPSKrylovSchurSetDimensions_KrylovSchur(EPS eps,PetscInt nev,PetscInt ncv,PetscInt mpd) | |
| 685 | { | ||
| 686 | 42 | EPS_KRYLOVSCHUR *ctx = (EPS_KRYLOVSCHUR*)eps->data; | |
| 687 | |||
| 688 |
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42 | PetscFunctionBegin; |
| 689 |
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42 | if (nev != PETSC_CURRENT) { |
| 690 |
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42 | PetscCheck(nev>0,PetscObjectComm((PetscObject)eps),PETSC_ERR_ARG_OUTOFRANGE,"Illegal value of nev. Must be > 0"); |
| 691 | 42 | ctx->nev = nev; | |
| 692 | } | ||
| 693 |
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42 | if (ncv == PETSC_DETERMINE) { |
| 694 | ✗ | ctx->ncv = PETSC_DETERMINE; | |
| 695 |
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42 | } else if (ncv != PETSC_CURRENT) { |
| 696 |
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42 | PetscCheck(ncv>0,PetscObjectComm((PetscObject)eps),PETSC_ERR_ARG_OUTOFRANGE,"Illegal value of ncv. Must be > 0"); |
| 697 | 42 | ctx->ncv = ncv; | |
| 698 | } | ||
| 699 |
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42 | if (mpd == PETSC_DETERMINE) { |
| 700 | ✗ | ctx->mpd = PETSC_DETERMINE; | |
| 701 |
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42 | } else if (mpd != PETSC_CURRENT) { |
| 702 |
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42 | PetscCheck(mpd>0,PetscObjectComm((PetscObject)eps),PETSC_ERR_ARG_OUTOFRANGE,"Illegal value of mpd. Must be > 0"); |
| 703 | 42 | ctx->mpd = mpd; | |
| 704 | } | ||
| 705 | 42 | eps->state = EPS_STATE_INITIAL; | |
| 706 |
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42 | PetscFunctionReturn(PETSC_SUCCESS); |
| 707 | } | ||
| 708 | |||
| 709 | /*@ | ||
| 710 | EPSKrylovSchurSetDimensions - Sets the dimensions used for each subsolve | ||
| 711 | step in case of doing spectrum slicing for a computational interval. | ||
| 712 | The meaning of the parameters is the same as in EPSSetDimensions(). | ||
| 713 | |||
| 714 | Logically Collective | ||
| 715 | |||
| 716 | Input Parameters: | ||
| 717 | + eps - the eigenproblem solver context | ||
| 718 | . nev - number of eigenvalues to compute | ||
| 719 | . ncv - the maximum dimension of the subspace to be used by the subsolve | ||
| 720 | - mpd - the maximum dimension allowed for the projected problem | ||
| 721 | |||
| 722 | Options Database Key: | ||
| 723 | + -eps_krylovschur_nev <nev> - Sets the number of eigenvalues | ||
| 724 | . -eps_krylovschur_ncv <ncv> - Sets the dimension of the subspace | ||
| 725 | - -eps_krylovschur_mpd <mpd> - Sets the maximum projected dimension | ||
| 726 | |||
| 727 | Note: | ||
| 728 | Use PETSC_DETERMINE for ncv and mpd to assign a default value. For any | ||
| 729 | of the arguments, use PETSC_CURRENT to preserve the current value. | ||
| 730 | |||
| 731 | Level: advanced | ||
| 732 | |||
| 733 | .seealso: EPSKrylovSchurGetDimensions(), EPSSetDimensions(), EPSSetInterval() | ||
| 734 | @*/ | ||
| 735 | 42 | PetscErrorCode EPSKrylovSchurSetDimensions(EPS eps,PetscInt nev,PetscInt ncv,PetscInt mpd) | |
| 736 | { | ||
| 737 |
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42 | PetscFunctionBegin; |
| 738 |
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42 | PetscValidHeaderSpecific(eps,EPS_CLASSID,1); |
| 739 |
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42 | PetscValidLogicalCollectiveInt(eps,nev,2); |
| 740 |
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|
42 | PetscValidLogicalCollectiveInt(eps,ncv,3); |
| 741 |
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|
42 | PetscValidLogicalCollectiveInt(eps,mpd,4); |
| 742 |
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|
42 | PetscTryMethod(eps,"EPSKrylovSchurSetDimensions_C",(EPS,PetscInt,PetscInt,PetscInt),(eps,nev,ncv,mpd)); |
| 743 |
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|
42 | PetscFunctionReturn(PETSC_SUCCESS); |
| 744 | } | ||
| 745 | |||
| 746 | 84 | static PetscErrorCode EPSKrylovSchurGetDimensions_KrylovSchur(EPS eps,PetscInt *nev,PetscInt *ncv,PetscInt *mpd) | |
| 747 | { | ||
| 748 | 84 | EPS_KRYLOVSCHUR *ctx = (EPS_KRYLOVSCHUR*)eps->data; | |
| 749 | |||
| 750 |
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84 | PetscFunctionBegin; |
| 751 |
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84 | if (nev) *nev = ctx->nev; |
| 752 |
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84 | if (ncv) *ncv = ctx->ncv; |
| 753 |
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84 | if (mpd) *mpd = ctx->mpd; |
| 754 |
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|
84 | PetscFunctionReturn(PETSC_SUCCESS); |
| 755 | } | ||
| 756 | |||
| 757 | /*@ | ||
| 758 | EPSKrylovSchurGetDimensions - Gets the dimensions used for each subsolve | ||
| 759 | step in case of doing spectrum slicing for a computational interval. | ||
| 760 | |||
| 761 | Not Collective | ||
| 762 | |||
| 763 | Input Parameter: | ||
| 764 | . eps - the eigenproblem solver context | ||
| 765 | |||
| 766 | Output Parameters: | ||
| 767 | + nev - number of eigenvalues to compute | ||
| 768 | . ncv - the maximum dimension of the subspace to be used by the subsolve | ||
| 769 | - mpd - the maximum dimension allowed for the projected problem | ||
| 770 | |||
| 771 | Level: advanced | ||
| 772 | |||
| 773 | .seealso: EPSKrylovSchurSetDimensions() | ||
| 774 | @*/ | ||
| 775 | 84 | PetscErrorCode EPSKrylovSchurGetDimensions(EPS eps,PetscInt *nev,PetscInt *ncv,PetscInt *mpd) | |
| 776 | { | ||
| 777 |
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84 | PetscFunctionBegin; |
| 778 |
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84 | PetscValidHeaderSpecific(eps,EPS_CLASSID,1); |
| 779 |
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|
84 | PetscUseMethod(eps,"EPSKrylovSchurGetDimensions_C",(EPS,PetscInt*,PetscInt*,PetscInt*),(eps,nev,ncv,mpd)); |
| 780 |
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|
84 | PetscFunctionReturn(PETSC_SUCCESS); |
| 781 | } | ||
| 782 | |||
| 783 | 32 | static PetscErrorCode EPSKrylovSchurSetSubintervals_KrylovSchur(EPS eps,PetscReal* subint) | |
| 784 | { | ||
| 785 | 32 | EPS_KRYLOVSCHUR *ctx = (EPS_KRYLOVSCHUR*)eps->data; | |
| 786 | 32 | PetscInt i; | |
| 787 | |||
| 788 |
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32 | PetscFunctionBegin; |
| 789 |
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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()"); |
| 790 |
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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"); |
| 791 |
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32 | if (ctx->subintervals) PetscCall(PetscFree(ctx->subintervals)); |
| 792 |
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32 | PetscCall(PetscMalloc1(ctx->npart+1,&ctx->subintervals)); |
| 793 |
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|
128 | for (i=0;i<ctx->npart+1;i++) ctx->subintervals[i] = subint[i]; |
| 794 | 32 | ctx->subintset = PETSC_TRUE; | |
| 795 | 32 | eps->state = EPS_STATE_INITIAL; | |
| 796 |
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32 | PetscFunctionReturn(PETSC_SUCCESS); |
| 797 | } | ||
| 798 | |||
| 799 | /*@ | ||
| 800 | EPSKrylovSchurSetSubintervals - Sets the points that delimit the | ||
| 801 | subintervals to be used in spectrum slicing with several partitions. | ||
| 802 | |||
| 803 | Logically Collective | ||
| 804 | |||
| 805 | Input Parameters: | ||
| 806 | + eps - the eigenproblem solver context | ||
| 807 | - subint - array of real values specifying subintervals | ||
| 808 | |||
| 809 | Notes: | ||
| 810 | This function must be called after EPSKrylovSchurSetPartitions(). For npart | ||
| 811 | partitions, the argument subint must contain npart+1 real values sorted in | ||
| 812 | ascending order, subint_0, subint_1, ..., subint_npart, where the first | ||
| 813 | and last values must coincide with the interval endpoints set with | ||
| 814 | EPSSetInterval(). | ||
| 815 | |||
| 816 | The subintervals are then defined by two consecutive points [subint_0,subint_1], | ||
| 817 | [subint_1,subint_2], and so on. | ||
| 818 | |||
| 819 | Level: advanced | ||
| 820 | |||
| 821 | .seealso: EPSKrylovSchurSetPartitions(), EPSKrylovSchurGetSubintervals(), EPSSetInterval() | ||
| 822 | @*/ | ||
| 823 | 32 | PetscErrorCode EPSKrylovSchurSetSubintervals(EPS eps,PetscReal subint[]) | |
| 824 | { | ||
| 825 |
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32 | PetscFunctionBegin; |
| 826 |
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32 | PetscValidHeaderSpecific(eps,EPS_CLASSID,1); |
| 827 |
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32 | PetscAssertPointer(subint,2); |
| 828 |
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32 | PetscTryMethod(eps,"EPSKrylovSchurSetSubintervals_C",(EPS,PetscReal*),(eps,subint)); |
| 829 |
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32 | PetscFunctionReturn(PETSC_SUCCESS); |
| 830 | } | ||
| 831 | |||
| 832 | 32 | static PetscErrorCode EPSKrylovSchurGetSubintervals_KrylovSchur(EPS eps,PetscReal *subint[]) | |
| 833 | { | ||
| 834 | 32 | EPS_KRYLOVSCHUR *ctx = (EPS_KRYLOVSCHUR*)eps->data; | |
| 835 | 32 | PetscInt i; | |
| 836 | |||
| 837 |
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32 | PetscFunctionBegin; |
| 838 |
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|
32 | if (!ctx->subintset) { |
| 839 | ✗ | PetscCheck(eps->state,PetscObjectComm((PetscObject)eps),PETSC_ERR_ARG_WRONGSTATE,"Must call EPSSetUp() first"); | |
| 840 | ✗ | PetscCheck(ctx->sr,PetscObjectComm((PetscObject)eps),PETSC_ERR_ARG_WRONGSTATE,"Only available in interval computations, see EPSSetInterval()"); | |
| 841 | } | ||
| 842 |
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32 | PetscCall(PetscMalloc1(ctx->npart+1,subint)); |
| 843 |
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128 | for (i=0;i<=ctx->npart;i++) (*subint)[i] = ctx->subintervals[i]; |
| 844 |
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4 | PetscFunctionReturn(PETSC_SUCCESS); |
| 845 | } | ||
| 846 | |||
| 847 | /*@C | ||
| 848 | EPSKrylovSchurGetSubintervals - Returns the points that delimit the | ||
| 849 | subintervals used in spectrum slicing with several partitions. | ||
| 850 | |||
| 851 | Not Collective | ||
| 852 | |||
| 853 | Input Parameter: | ||
| 854 | . eps - the eigenproblem solver context | ||
| 855 | |||
| 856 | Output Parameter: | ||
| 857 | . subint - array of real values specifying subintervals | ||
| 858 | |||
| 859 | Notes: | ||
| 860 | If the user passed values with EPSKrylovSchurSetSubintervals(), then the | ||
| 861 | same values are returned. Otherwise, the values computed internally are | ||
| 862 | obtained. | ||
| 863 | |||
| 864 | This function is only available for spectrum slicing runs. | ||
| 865 | |||
| 866 | The returned array has length npart+1 (see EPSKrylovSchurGetPartitions()) | ||
| 867 | and should be freed by the user. | ||
| 868 | |||
| 869 | Fortran Notes: | ||
| 870 | The calling sequence from Fortran is | ||
| 871 | .vb | ||
| 872 | EPSKrylovSchurGetSubintervals(eps,subint,ierr) | ||
| 873 | double precision subint(npart+1) output | ||
| 874 | .ve | ||
| 875 | |||
| 876 | Level: advanced | ||
| 877 | |||
| 878 | .seealso: EPSKrylovSchurSetSubintervals(), EPSKrylovSchurGetPartitions(), EPSSetInterval() | ||
| 879 | @*/ | ||
| 880 | 32 | PetscErrorCode EPSKrylovSchurGetSubintervals(EPS eps,PetscReal *subint[]) PeNS | |
| 881 | { | ||
| 882 |
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32 | PetscFunctionBegin; |
| 883 |
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32 | PetscValidHeaderSpecific(eps,EPS_CLASSID,1); |
| 884 |
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32 | PetscAssertPointer(subint,2); |
| 885 |
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32 | PetscUseMethod(eps,"EPSKrylovSchurGetSubintervals_C",(EPS,PetscReal**),(eps,subint)); |
| 886 |
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32 | PetscFunctionReturn(PETSC_SUCCESS); |
| 887 | } | ||
| 888 | |||
| 889 | 74 | static PetscErrorCode EPSKrylovSchurGetInertias_KrylovSchur(EPS eps,PetscInt *n,PetscReal *shifts[],PetscInt *inertias[]) | |
| 890 | { | ||
| 891 | 74 | EPS_KRYLOVSCHUR *ctx = (EPS_KRYLOVSCHUR*)eps->data; | |
| 892 | 74 | PetscInt i,numsh; | |
| 893 | 74 | EPS_SR sr = ctx->sr; | |
| 894 | |||
| 895 |
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74 | PetscFunctionBegin; |
| 896 |
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74 | PetscCheck(eps->state,PetscObjectComm((PetscObject)eps),PETSC_ERR_ARG_WRONGSTATE,"Must call EPSSetUp() first"); |
| 897 |
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74 | PetscCheck(ctx->sr,PetscObjectComm((PetscObject)eps),PETSC_ERR_ARG_WRONGSTATE,"Only available in interval computations, see EPSSetInterval()"); |
| 898 |
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74 | switch (eps->state) { |
| 899 | case EPS_STATE_INITIAL: | ||
| 900 | break; | ||
| 901 | 64 | case EPS_STATE_SETUP: | |
| 902 | 64 | numsh = ctx->npart+1; | |
| 903 |
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64 | if (n) *n = numsh; |
| 904 |
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64 | if (shifts) { |
| 905 |
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|
64 | PetscCall(PetscMalloc1(numsh,shifts)); |
| 906 | 64 | (*shifts)[0] = eps->inta; | |
| 907 |
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64 | if (ctx->npart==1) (*shifts)[1] = eps->intb; |
| 908 |
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|
132 | else for (i=1;i<numsh;i++) (*shifts)[i] = ctx->subintervals[i]; |
| 909 | } | ||
| 910 |
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64 | if (inertias) { |
| 911 |
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64 | PetscCall(PetscMalloc1(numsh,inertias)); |
| 912 |
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64 | (*inertias)[0] = (sr->dir==1)?sr->inertia0:sr->inertia1; |
| 913 |
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64 | if (ctx->npart==1) (*inertias)[1] = (sr->dir==1)?sr->inertia1:sr->inertia0; |
| 914 |
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|
132 | else for (i=1;i<numsh;i++) (*inertias)[i] = (*inertias)[i-1]+ctx->nconv_loc[i-1]; |
| 915 | } | ||
| 916 | break; | ||
| 917 | 10 | case EPS_STATE_SOLVED: | |
| 918 | case EPS_STATE_EIGENVECTORS: | ||
| 919 | 10 | numsh = ctx->nshifts; | |
| 920 |
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10 | if (n) *n = numsh; |
| 921 |
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10 | if (shifts) { |
| 922 |
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10 | PetscCall(PetscMalloc1(numsh,shifts)); |
| 923 |
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30 | for (i=0;i<numsh;i++) (*shifts)[i] = ctx->shifts[i]; |
| 924 | } | ||
| 925 |
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10 | if (inertias) { |
| 926 |
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10 | PetscCall(PetscMalloc1(numsh,inertias)); |
| 927 |
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|
30 | for (i=0;i<numsh;i++) (*inertias)[i] = ctx->inertias[i]; |
| 928 | } | ||
| 929 | break; | ||
| 930 | } | ||
| 931 |
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|
10 | PetscFunctionReturn(PETSC_SUCCESS); |
| 932 | } | ||
| 933 | |||
| 934 | /*@C | ||
| 935 | EPSKrylovSchurGetInertias - Gets the values of the shifts and their | ||
| 936 | corresponding inertias in case of doing spectrum slicing for a | ||
| 937 | computational interval. | ||
| 938 | |||
| 939 | Not Collective | ||
| 940 | |||
| 941 | Input Parameter: | ||
| 942 | . eps - the eigenproblem solver context | ||
| 943 | |||
| 944 | Output Parameters: | ||
| 945 | + n - number of shifts, including the endpoints of the interval | ||
| 946 | . shifts - the values of the shifts used internally in the solver | ||
| 947 | - inertias - the values of the inertia in each shift | ||
| 948 | |||
| 949 | Notes: | ||
| 950 | If called after EPSSolve(), all shifts used internally by the solver are | ||
| 951 | returned (including both endpoints and any intermediate ones). If called | ||
| 952 | before EPSSolve() and after EPSSetUp() then only the information of the | ||
| 953 | endpoints of subintervals is available. | ||
| 954 | |||
| 955 | This function is only available for spectrum slicing runs. | ||
| 956 | |||
| 957 | The returned arrays should be freed by the user. Can pass NULL in any of | ||
| 958 | the two arrays if not required. | ||
| 959 | |||
| 960 | Fortran Notes: | ||
| 961 | The calling sequence from Fortran is | ||
| 962 | .vb | ||
| 963 | EPSKrylovSchurGetInertias(eps,n,shifts,inertias,ierr) | ||
| 964 | integer n | ||
| 965 | double precision shifts(*) | ||
| 966 | integer inertias(*) | ||
| 967 | .ve | ||
| 968 | The arrays should be at least of length n. The value of n can be determined | ||
| 969 | by an initial call | ||
| 970 | .vb | ||
| 971 | EPSKrylovSchurGetInertias(eps,n,PETSC_NULL_REAL_ARRAY,PETSC_NULL_INTEGER_ARRAY,ierr) | ||
| 972 | .ve | ||
| 973 | |||
| 974 | Level: advanced | ||
| 975 | |||
| 976 | .seealso: EPSSetInterval(), EPSKrylovSchurSetSubintervals() | ||
| 977 | @*/ | ||
| 978 | 74 | PetscErrorCode EPSKrylovSchurGetInertias(EPS eps,PetscInt *n,PetscReal *shifts[],PetscInt *inertias[]) PeNS | |
| 979 | { | ||
| 980 |
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74 | PetscFunctionBegin; |
| 981 |
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74 | PetscValidHeaderSpecific(eps,EPS_CLASSID,1); |
| 982 |
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74 | PetscAssertPointer(n,2); |
| 983 |
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|
74 | PetscUseMethod(eps,"EPSKrylovSchurGetInertias_C",(EPS,PetscInt*,PetscReal**,PetscInt**),(eps,n,shifts,inertias)); |
| 984 |
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|
74 | PetscFunctionReturn(PETSC_SUCCESS); |
| 985 | } | ||
| 986 | |||
| 987 | 32 | static PetscErrorCode EPSKrylovSchurGetSubcommInfo_KrylovSchur(EPS eps,PetscInt *k,PetscInt *n,Vec *v) | |
| 988 | { | ||
| 989 | 32 | EPS_KRYLOVSCHUR *ctx = (EPS_KRYLOVSCHUR*)eps->data; | |
| 990 | 32 | EPS_SR sr = ((EPS_KRYLOVSCHUR*)ctx->eps->data)->sr; | |
| 991 | |||
| 992 |
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32 | PetscFunctionBegin; |
| 993 |
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32 | PetscCheck(eps->state,PetscObjectComm((PetscObject)eps),PETSC_ERR_ARG_WRONGSTATE,"Must call EPSSetUp() first"); |
| 994 |
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32 | PetscCheck(ctx->sr,PetscObjectComm((PetscObject)eps),PETSC_ERR_ARG_WRONGSTATE,"Only available in interval computations, see EPSSetInterval()"); |
| 995 |
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|
32 | if (k) *k = (ctx->npart==1)? 0: ctx->subc->color; |
| 996 |
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32 | if (n) *n = sr->numEigs; |
| 997 |
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|
32 | if (v) PetscCall(BVCreateVec(sr->V,v)); |
| 998 |
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|
4 | PetscFunctionReturn(PETSC_SUCCESS); |
| 999 | } | ||
| 1000 | |||
| 1001 | /*@ | ||
| 1002 | EPSKrylovSchurGetSubcommInfo - Gets information related to the case of | ||
| 1003 | doing spectrum slicing for a computational interval with multiple | ||
| 1004 | communicators. | ||
| 1005 | |||
| 1006 | Collective on the subcommunicator (if v is given) | ||
| 1007 | |||
| 1008 | Input Parameter: | ||
| 1009 | . eps - the eigenproblem solver context | ||
| 1010 | |||
| 1011 | Output Parameters: | ||
| 1012 | + k - index of the subinterval for the calling process | ||
| 1013 | . n - number of eigenvalues found in the k-th subinterval | ||
| 1014 | - v - a vector owned by processes in the subcommunicator with dimensions | ||
| 1015 | compatible for locally computed eigenvectors (or NULL) | ||
| 1016 | |||
| 1017 | Notes: | ||
| 1018 | This function is only available for spectrum slicing runs. | ||
| 1019 | |||
| 1020 | The returned Vec should be destroyed by the user. | ||
| 1021 | |||
| 1022 | Level: advanced | ||
| 1023 | |||
| 1024 | .seealso: EPSSetInterval(), EPSKrylovSchurSetPartitions(), EPSKrylovSchurGetSubcommPairs() | ||
| 1025 | @*/ | ||
| 1026 | 32 | PetscErrorCode EPSKrylovSchurGetSubcommInfo(EPS eps,PetscInt *k,PetscInt *n,Vec *v) | |
| 1027 | { | ||
| 1028 |
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32 | PetscFunctionBegin; |
| 1029 |
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32 | PetscValidHeaderSpecific(eps,EPS_CLASSID,1); |
| 1030 |
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|
32 | PetscUseMethod(eps,"EPSKrylovSchurGetSubcommInfo_C",(EPS,PetscInt*,PetscInt*,Vec*),(eps,k,n,v)); |
| 1031 |
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|
32 | PetscFunctionReturn(PETSC_SUCCESS); |
| 1032 | } | ||
| 1033 | |||
| 1034 | 748 | static PetscErrorCode EPSKrylovSchurGetSubcommPairs_KrylovSchur(EPS eps,PetscInt i,PetscScalar *eig,Vec v) | |
| 1035 | { | ||
| 1036 | 748 | EPS_KRYLOVSCHUR *ctx = (EPS_KRYLOVSCHUR*)eps->data; | |
| 1037 | 748 | EPS_SR sr = ((EPS_KRYLOVSCHUR*)ctx->eps->data)->sr; | |
| 1038 | |||
| 1039 |
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748 | PetscFunctionBegin; |
| 1040 |
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748 | EPSCheckSolved(eps,1); |
| 1041 |
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|
748 | PetscCheck(ctx->sr,PetscObjectComm((PetscObject)eps),PETSC_ERR_ARG_WRONGSTATE,"Only available in interval computations, see EPSSetInterval()"); |
| 1042 |
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748 | PetscCheck(i>=0 && i<sr->numEigs,PetscObjectComm((PetscObject)eps),PETSC_ERR_ARG_OUTOFRANGE,"Argument 2 out of range"); |
| 1043 |
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|
748 | if (eig) *eig = sr->eigr[sr->perm[i]]; |
| 1044 |
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|
748 | if (v) PetscCall(BVCopyVec(sr->V,sr->perm[i],v)); |
| 1045 |
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|
116 | PetscFunctionReturn(PETSC_SUCCESS); |
| 1046 | } | ||
| 1047 | |||
| 1048 | /*@ | ||
| 1049 | EPSKrylovSchurGetSubcommPairs - Gets the i-th eigenpair stored | ||
| 1050 | internally in the subcommunicator to which the calling process belongs. | ||
| 1051 | |||
| 1052 | Collective on the subcommunicator (if v is given) | ||
| 1053 | |||
| 1054 | Input Parameters: | ||
| 1055 | + eps - the eigenproblem solver context | ||
| 1056 | - i - index of the solution | ||
| 1057 | |||
| 1058 | Output Parameters: | ||
| 1059 | + eig - the eigenvalue | ||
| 1060 | - v - the eigenvector | ||
| 1061 | |||
| 1062 | Notes: | ||
| 1063 | It is allowed to pass NULL for v if the eigenvector is not required. | ||
| 1064 | Otherwise, the caller must provide a valid Vec objects, i.e., | ||
| 1065 | it must be created by the calling program with EPSKrylovSchurGetSubcommInfo(). | ||
| 1066 | |||
| 1067 | The index i should be a value between 0 and n-1, where n is the number of | ||
| 1068 | vectors in the local subinterval, see EPSKrylovSchurGetSubcommInfo(). | ||
| 1069 | |||
| 1070 | Level: advanced | ||
| 1071 | |||
| 1072 | .seealso: EPSSetInterval(), EPSKrylovSchurSetPartitions(), EPSKrylovSchurGetSubcommInfo(), EPSKrylovSchurGetSubcommMats() | ||
| 1073 | @*/ | ||
| 1074 | 748 | PetscErrorCode EPSKrylovSchurGetSubcommPairs(EPS eps,PetscInt i,PetscScalar *eig,Vec v) | |
| 1075 | { | ||
| 1076 |
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748 | PetscFunctionBegin; |
| 1077 |
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748 | PetscValidHeaderSpecific(eps,EPS_CLASSID,1); |
| 1078 |
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|
748 | if (v) PetscValidLogicalCollectiveInt(v,i,2); |
| 1079 |
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|
748 | PetscUseMethod(eps,"EPSKrylovSchurGetSubcommPairs_C",(EPS,PetscInt,PetscScalar*,Vec),(eps,i,eig,v)); |
| 1080 |
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|
748 | PetscFunctionReturn(PETSC_SUCCESS); |
| 1081 | } | ||
| 1082 | |||
| 1083 | 32 | static PetscErrorCode EPSKrylovSchurGetSubcommMats_KrylovSchur(EPS eps,Mat *A,Mat *B) | |
| 1084 | { | ||
| 1085 | 32 | EPS_KRYLOVSCHUR *ctx = (EPS_KRYLOVSCHUR*)eps->data; | |
| 1086 | |||
| 1087 |
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32 | PetscFunctionBegin; |
| 1088 |
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32 | PetscCheck(ctx->sr,PetscObjectComm((PetscObject)eps),PETSC_ERR_ARG_WRONGSTATE,"Only available in interval computations, see EPSSetInterval()"); |
| 1089 |
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32 | PetscCheck(eps->state,PetscObjectComm((PetscObject)eps),PETSC_ERR_ARG_WRONGSTATE,"Must call EPSSetUp() first"); |
| 1090 |
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32 | PetscCall(EPSGetOperators(ctx->eps,A,B)); |
| 1091 |
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4 | PetscFunctionReturn(PETSC_SUCCESS); |
| 1092 | } | ||
| 1093 | |||
| 1094 | /*@ | ||
| 1095 | EPSKrylovSchurGetSubcommMats - Gets the eigenproblem matrices stored | ||
| 1096 | internally in the subcommunicator to which the calling process belongs. | ||
| 1097 | |||
| 1098 | Collective on the subcommunicator | ||
| 1099 | |||
| 1100 | Input Parameter: | ||
| 1101 | . eps - the eigenproblem solver context | ||
| 1102 | |||
| 1103 | Output Parameters: | ||
| 1104 | + A - the matrix associated with the eigensystem | ||
| 1105 | - B - the second matrix in the case of generalized eigenproblems | ||
| 1106 | |||
| 1107 | Notes: | ||
| 1108 | This is the analog of EPSGetOperators(), but returns the matrices distributed | ||
| 1109 | differently (in the subcommunicator rather than in the parent communicator). | ||
| 1110 | |||
| 1111 | These matrices should not be modified by the user. | ||
| 1112 | |||
| 1113 | Level: advanced | ||
| 1114 | |||
| 1115 | .seealso: EPSSetInterval(), EPSKrylovSchurSetPartitions(), EPSKrylovSchurGetSubcommInfo() | ||
| 1116 | @*/ | ||
| 1117 | 32 | PetscErrorCode EPSKrylovSchurGetSubcommMats(EPS eps,Mat *A,Mat *B) | |
| 1118 | { | ||
| 1119 |
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32 | PetscFunctionBegin; |
| 1120 |
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32 | PetscValidHeaderSpecific(eps,EPS_CLASSID,1); |
| 1121 |
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32 | PetscTryMethod(eps,"EPSKrylovSchurGetSubcommMats_C",(EPS,Mat*,Mat*),(eps,A,B)); |
| 1122 |
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32 | PetscFunctionReturn(PETSC_SUCCESS); |
| 1123 | } | ||
| 1124 | |||
| 1125 | 32 | static PetscErrorCode EPSKrylovSchurUpdateSubcommMats_KrylovSchur(EPS eps,PetscScalar a,PetscScalar ap,Mat Au,PetscScalar b,PetscScalar bp, Mat Bu,MatStructure str,PetscBool globalup) | |
| 1126 | { | ||
| 1127 | 32 | EPS_KRYLOVSCHUR *ctx = (EPS_KRYLOVSCHUR*)eps->data,*subctx; | |
| 1128 | 32 | Mat A,B=NULL,Ag,Bg=NULL; | |
| 1129 | 32 | PetscBool reuse=PETSC_TRUE; | |
| 1130 | |||
| 1131 |
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32 | PetscFunctionBegin; |
| 1132 |
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32 | PetscCheck(ctx->sr,PetscObjectComm((PetscObject)eps),PETSC_ERR_ARG_WRONGSTATE,"Only available in interval computations, see EPSSetInterval()"); |
| 1133 |
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32 | PetscCheck(eps->state,PetscObjectComm((PetscObject)eps),PETSC_ERR_ARG_WRONGSTATE,"Must call EPSSetUp() first"); |
| 1134 |
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32 | PetscCall(EPSGetOperators(eps,&Ag,&Bg)); |
| 1135 |
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32 | PetscCall(EPSGetOperators(ctx->eps,&A,&B)); |
| 1136 | |||
| 1137 |
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32 | PetscCall(MatScale(A,a)); |
| 1138 |
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32 | if (Au) PetscCall(MatAXPY(A,ap,Au,str)); |
| 1139 |
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32 | if (B) PetscCall(MatScale(B,b)); |
| 1140 |
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32 | if (Bu) PetscCall(MatAXPY(B,bp,Bu,str)); |
| 1141 |
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32 | PetscCall(EPSSetOperators(ctx->eps,A,B)); |
| 1142 | |||
| 1143 | /* Update stored matrix state */ | ||
| 1144 | 32 | subctx = (EPS_KRYLOVSCHUR*)ctx->eps->data; | |
| 1145 |
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32 | PetscCall(MatGetState(A,&subctx->Astate)); |
| 1146 |
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32 | if (B) PetscCall(MatGetState(B,&subctx->Bstate)); |
| 1147 | |||
| 1148 | /* Update matrices in the parent communicator if requested by user */ | ||
| 1149 |
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32 | if (globalup) { |
| 1150 |
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32 | if (ctx->npart>1) { |
| 1151 |
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32 | if (!ctx->isrow) { |
| 1152 |
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32 | PetscCall(MatGetOwnershipIS(Ag,&ctx->isrow,&ctx->iscol)); |
| 1153 | reuse = PETSC_FALSE; | ||
| 1154 | } | ||
| 1155 |
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32 | if (str==DIFFERENT_NONZERO_PATTERN || str==UNKNOWN_NONZERO_PATTERN) reuse = PETSC_FALSE; |
| 1156 |
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32 | if (ctx->submata && !reuse) PetscCall(MatDestroyMatrices(1,&ctx->submata)); |
| 1157 |
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32 | PetscCall(MatCreateSubMatrices(A,1,&ctx->isrow,&ctx->iscol,(reuse)?MAT_REUSE_MATRIX:MAT_INITIAL_MATRIX,&ctx->submata)); |
| 1158 |
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32 | PetscCall(MatCreateMPIMatConcatenateSeqMat(((PetscObject)Ag)->comm,ctx->submata[0],PETSC_DECIDE,MAT_REUSE_MATRIX,&Ag)); |
| 1159 |
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32 | if (B) { |
| 1160 |
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32 | if (ctx->submatb && !reuse) PetscCall(MatDestroyMatrices(1,&ctx->submatb)); |
| 1161 |
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32 | PetscCall(MatCreateSubMatrices(B,1,&ctx->isrow,&ctx->iscol,(reuse)?MAT_REUSE_MATRIX:MAT_INITIAL_MATRIX,&ctx->submatb)); |
| 1162 |
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32 | PetscCall(MatCreateMPIMatConcatenateSeqMat(((PetscObject)Bg)->comm,ctx->submatb[0],PETSC_DECIDE,MAT_REUSE_MATRIX,&Bg)); |
| 1163 | } | ||
| 1164 | } | ||
| 1165 |
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32 | PetscCall(MatGetState(Ag,&ctx->Astate)); |
| 1166 |
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32 | if (Bg) PetscCall(MatGetState(Bg,&ctx->Bstate)); |
| 1167 | } | ||
| 1168 |
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32 | PetscCall(EPSSetOperators(eps,Ag,Bg)); |
| 1169 |
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4 | PetscFunctionReturn(PETSC_SUCCESS); |
| 1170 | } | ||
| 1171 | |||
| 1172 | /*@ | ||
| 1173 | EPSKrylovSchurUpdateSubcommMats - Update the eigenproblem matrices stored | ||
| 1174 | internally in the subcommunicator to which the calling process belongs. | ||
| 1175 | |||
| 1176 | Collective | ||
| 1177 | |||
| 1178 | Input Parameters: | ||
| 1179 | + eps - the eigenproblem solver context | ||
| 1180 | . s - scalar that multiplies the existing A matrix | ||
| 1181 | . a - scalar used in the axpy operation on A | ||
| 1182 | . Au - matrix used in the axpy operation on A | ||
| 1183 | . t - scalar that multiplies the existing B matrix | ||
| 1184 | . b - scalar used in the axpy operation on B | ||
| 1185 | . Bu - matrix used in the axpy operation on B | ||
| 1186 | . str - structure flag | ||
| 1187 | - globalup - flag indicating if global matrices must be updated | ||
| 1188 | |||
| 1189 | Notes: | ||
| 1190 | This function modifies the eigenproblem matrices at the subcommunicator level, | ||
| 1191 | and optionally updates the global matrices in the parent communicator. The updates | ||
| 1192 | are expressed as A <-- s*A + a*Au, B <-- t*B + b*Bu. | ||
| 1193 | |||
| 1194 | It is possible to update one of the matrices, or both. | ||
| 1195 | |||
| 1196 | The matrices Au and Bu must be equal in all subcommunicators. | ||
| 1197 | |||
| 1198 | The str flag is passed to the MatAXPY() operations to perform the updates. | ||
| 1199 | |||
| 1200 | If globalup is true, communication is carried out to reconstruct the updated | ||
| 1201 | matrices in the parent communicator. The user must be warned that if global | ||
| 1202 | matrices are not in sync with subcommunicator matrices, the errors computed | ||
| 1203 | by EPSComputeError() will be wrong even if the computed solution is correct | ||
| 1204 | (the synchronization may be done only once at the end). | ||
| 1205 | |||
| 1206 | Level: advanced | ||
| 1207 | |||
| 1208 | .seealso: EPSSetInterval(), EPSKrylovSchurSetPartitions(), EPSKrylovSchurGetSubcommMats() | ||
| 1209 | @*/ | ||
| 1210 | 32 | PetscErrorCode EPSKrylovSchurUpdateSubcommMats(EPS eps,PetscScalar s,PetscScalar a,Mat Au,PetscScalar t,PetscScalar b,Mat Bu,MatStructure str,PetscBool globalup) | |
| 1211 | { | ||
| 1212 |
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32 | PetscFunctionBegin; |
| 1213 |
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32 | PetscValidHeaderSpecific(eps,EPS_CLASSID,1); |
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32 | PetscValidLogicalCollectiveScalar(eps,s,2); |
| 1215 |
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32 | PetscValidLogicalCollectiveScalar(eps,a,3); |
| 1216 |
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32 | if (Au) PetscValidHeaderSpecific(Au,MAT_CLASSID,4); |
| 1217 |
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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); |
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32 | PetscValidLogicalCollectiveEnum(eps,str,8); |
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32 | PetscValidLogicalCollectiveBool(eps,globalup,9); |
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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)); |
| 1223 |
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|
32 | PetscFunctionReturn(PETSC_SUCCESS); |
| 1224 | } | ||
| 1225 | |||
| 1226 | 416 | PetscErrorCode EPSKrylovSchurGetChildEPS(EPS eps,EPS *childeps) | |
| 1227 | { | ||
| 1228 | 416 | EPS_KRYLOVSCHUR *ctx=(EPS_KRYLOVSCHUR*)eps->data,*ctx_local; | |
| 1229 | 416 | Mat A,B=NULL,Ar=NULL,Br=NULL; | |
| 1230 | 416 | PetscMPIInt rank; | |
| 1231 | 416 | PetscObjectState Astate,Bstate=0; | |
| 1232 | 416 | PetscObjectId Aid,Bid=0; | |
| 1233 | 416 | STType sttype; | |
| 1234 | 416 | PetscInt nmat; | |
| 1235 | 416 | const char *prefix; | |
| 1236 | 416 | MPI_Comm child; | |
| 1237 | |||
| 1238 |
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416 | PetscFunctionBegin; |
| 1239 |
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416 | PetscCall(EPSGetOperators(eps,&A,&B)); |
| 1240 |
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416 | if (ctx->npart==1) { |
| 1241 |
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210 | if (!ctx->eps) PetscCall(EPSCreate(((PetscObject)eps)->comm,&ctx->eps)); |
| 1242 |
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210 | PetscCall(EPSGetOptionsPrefix(eps,&prefix)); |
| 1243 |
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210 | PetscCall(EPSSetOptionsPrefix(ctx->eps,prefix)); |
| 1244 |
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210 | PetscCall(EPSSetOperators(ctx->eps,A,B)); |
| 1245 | } else { | ||
| 1246 |
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206 | PetscCall(MatGetState(A,&Astate)); |
| 1247 |
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206 | PetscCall(PetscObjectGetId((PetscObject)A,&Aid)); |
| 1248 |
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206 | if (B) { |
| 1249 |
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206 | PetscCall(MatGetState(B,&Bstate)); |
| 1250 |
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206 | PetscCall(PetscObjectGetId((PetscObject)B,&Bid)); |
| 1251 | } | ||
| 1252 |
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206 | if (!ctx->subc) { |
| 1253 | /* Create context for subcommunicators */ | ||
| 1254 |
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77 | PetscCall(PetscSubcommCreate(PetscObjectComm((PetscObject)eps),&ctx->subc)); |
| 1255 |
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77 | PetscCall(PetscSubcommSetNumber(ctx->subc,ctx->npart)); |
| 1256 |
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77 | PetscCall(PetscSubcommSetType(ctx->subc,PETSC_SUBCOMM_CONTIGUOUS)); |
| 1257 |
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77 | PetscCall(PetscSubcommGetChild(ctx->subc,&child)); |
| 1258 | |||
| 1259 | /* Duplicate matrices */ | ||
| 1260 |
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77 | PetscCall(MatCreateRedundantMatrix(A,0,child,MAT_INITIAL_MATRIX,&Ar)); |
| 1261 | 77 | ctx->Astate = Astate; | |
| 1262 | 77 | ctx->Aid = Aid; | |
| 1263 |
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77 | PetscCall(MatPropagateSymmetryOptions(A,Ar)); |
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77 | if (B) { |
| 1265 |
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77 | PetscCall(MatCreateRedundantMatrix(B,0,child,MAT_INITIAL_MATRIX,&Br)); |
| 1266 | 77 | ctx->Bstate = Bstate; | |
| 1267 | 77 | ctx->Bid = Bid; | |
| 1268 |
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77 | PetscCall(MatPropagateSymmetryOptions(B,Br)); |
| 1269 | } | ||
| 1270 | } else { | ||
| 1271 |
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129 | PetscCall(PetscSubcommGetChild(ctx->subc,&child)); |
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129 | if (ctx->Astate != Astate || (B && ctx->Bstate != Bstate) || ctx->Aid != Aid || (B && ctx->Bid != Bid)) { |
| 1273 | ✗ | PetscCall(STGetNumMatrices(ctx->eps->st,&nmat)); | |
| 1274 | ✗ | if (nmat) PetscCall(EPSGetOperators(ctx->eps,&Ar,&Br)); | |
| 1275 | ✗ | PetscCall(MatCreateRedundantMatrix(A,0,child,MAT_INITIAL_MATRIX,&Ar)); | |
| 1276 | ✗ | ctx->Astate = Astate; | |
| 1277 | ✗ | ctx->Aid = Aid; | |
| 1278 | ✗ | PetscCall(MatPropagateSymmetryOptions(A,Ar)); | |
| 1279 | ✗ | if (B) { | |
| 1280 | ✗ | PetscCall(MatCreateRedundantMatrix(B,0,child,MAT_INITIAL_MATRIX,&Br)); | |
| 1281 | ✗ | ctx->Bstate = Bstate; | |
| 1282 | ✗ | ctx->Bid = Bid; | |
| 1283 | ✗ | PetscCall(MatPropagateSymmetryOptions(B,Br)); | |
| 1284 | } | ||
| 1285 | ✗ | PetscCall(EPSSetOperators(ctx->eps,Ar,Br)); | |
| 1286 | ✗ | PetscCall(MatDestroy(&Ar)); | |
| 1287 | ✗ | PetscCall(MatDestroy(&Br)); | |
| 1288 | } | ||
| 1289 | } | ||
| 1290 | |||
| 1291 | /* Create auxiliary EPS */ | ||
| 1292 |
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206 | if (!ctx->eps) { |
| 1293 |
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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)); |
| 1299 | } | ||
| 1300 | /* Create subcommunicator grouping processes with same rank */ | ||
| 1301 |
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206 | if (!ctx->commset) { |
| 1302 |
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77 | PetscCallMPI(MPI_Comm_rank(child,&rank)); |
| 1303 |
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77 | PetscCallMPI(MPI_Comm_split(((PetscObject)eps)->comm,rank,ctx->subc->color,&ctx->commrank)); |
| 1304 | 77 | ctx->commset = PETSC_TRUE; | |
| 1305 | } | ||
| 1306 | } | ||
| 1307 |
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416 | PetscCall(EPSSetType(ctx->eps,((PetscObject)eps)->type_name)); |
| 1308 |
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416 | PetscCall(STGetType(eps->st,&sttype)); |
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416 | PetscCall(STSetType(ctx->eps->st,sttype)); |
| 1310 | |||
| 1311 | 416 | ctx_local = (EPS_KRYLOVSCHUR*)ctx->eps->data; | |
| 1312 | 416 | ctx_local->npart = ctx->npart; | |
| 1313 | 416 | ctx_local->global = PETSC_FALSE; | |
| 1314 | 416 | ctx_local->eps = eps; | |
| 1315 | 416 | ctx_local->subc = ctx->subc; | |
| 1316 | 416 | ctx_local->commrank = ctx->commrank; | |
| 1317 | 416 | *childeps = ctx->eps; | |
| 1318 |
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416 | PetscFunctionReturn(PETSC_SUCCESS); |
| 1319 | } | ||
| 1320 | |||
| 1321 | 219 | static PetscErrorCode EPSKrylovSchurGetKSP_KrylovSchur(EPS eps,KSP *ksp) | |
| 1322 | { | ||
| 1323 | 219 | EPS_KRYLOVSCHUR *ctx=(EPS_KRYLOVSCHUR*)eps->data; | |
| 1324 | 219 | ST st; | |
| 1325 | 219 | PetscBool isfilt; | |
| 1326 | |||
| 1327 |
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219 | PetscFunctionBegin; |
| 1328 |
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219 | PetscCall(PetscObjectTypeCompare((PetscObject)eps->st,STFILTER,&isfilt)); |
| 1329 |
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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"); |
| 1330 |
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219 | PetscCall(EPSKrylovSchurGetChildEPS(eps,&ctx->eps)); |
| 1331 |
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219 | PetscCall(EPSGetST(ctx->eps,&st)); |
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219 | PetscCall(STGetOperator(st,NULL)); |
| 1333 |
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219 | PetscCall(STGetKSP(st,ksp)); |
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36 | PetscFunctionReturn(PETSC_SUCCESS); |
| 1335 | } | ||
| 1336 | |||
| 1337 | /*@ | ||
| 1338 | EPSKrylovSchurGetKSP - Retrieve the linear solver object associated with the | ||
| 1339 | internal EPS object in case of doing spectrum slicing for a computational interval. | ||
| 1340 | |||
| 1341 | Collective | ||
| 1342 | |||
| 1343 | Input Parameter: | ||
| 1344 | . eps - the eigenproblem solver context | ||
| 1345 | |||
| 1346 | Output Parameter: | ||
| 1347 | . ksp - the internal KSP object | ||
| 1348 | |||
| 1349 | Notes: | ||
| 1350 | When invoked to compute all eigenvalues in an interval with spectrum | ||
| 1351 | slicing, EPSKRYLOVSCHUR creates another EPS object internally that is | ||
| 1352 | used to compute eigenvalues by chunks near selected shifts. This function | ||
| 1353 | allows access to the KSP object associated to this internal EPS object. | ||
| 1354 | |||
| 1355 | This function is only available for spectrum slicing runs. In case of | ||
| 1356 | having more than one partition, the returned KSP will be different | ||
| 1357 | in MPI processes belonging to different partitions. Hence, if required, | ||
| 1358 | EPSKrylovSchurSetPartitions() must be called BEFORE this function. | ||
| 1359 | |||
| 1360 | Level: advanced | ||
| 1361 | |||
| 1362 | .seealso: EPSSetInterval(), EPSKrylovSchurSetPartitions() | ||
| 1363 | @*/ | ||
| 1364 | 62 | PetscErrorCode EPSKrylovSchurGetKSP(EPS eps,KSP *ksp) | |
| 1365 | { | ||
| 1366 |
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62 | PetscFunctionBegin; |
| 1367 |
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62 | PetscValidHeaderSpecific(eps,EPS_CLASSID,1); |
| 1368 |
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|
62 | PetscUseMethod(eps,"EPSKrylovSchurGetKSP_C",(EPS,KSP*),(eps,ksp)); |
| 1369 |
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|
62 | PetscFunctionReturn(PETSC_SUCCESS); |
| 1370 | } | ||
| 1371 | |||
| 1372 | 329 | static PetscErrorCode EPSKrylovSchurSetBSEType_KrylovSchur(EPS eps,EPSKrylovSchurBSEType bse) | |
| 1373 | { | ||
| 1374 | 329 | EPS_KRYLOVSCHUR *ctx = (EPS_KRYLOVSCHUR*)eps->data; | |
| 1375 | |||
| 1376 |
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329 | PetscFunctionBegin; |
| 1377 |
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329 | switch (bse) { |
| 1378 | 329 | case EPS_KRYLOVSCHUR_BSE_SHAO: | |
| 1379 | case EPS_KRYLOVSCHUR_BSE_GRUNING: | ||
| 1380 | case EPS_KRYLOVSCHUR_BSE_PROJECTEDBSE: | ||
| 1381 |
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|
329 | if (ctx->bse != bse) { |
| 1382 | 216 | ctx->bse = bse; | |
| 1383 | 216 | eps->state = EPS_STATE_INITIAL; | |
| 1384 | } | ||
| 1385 | 49 | break; | |
| 1386 | ✗ | default: | |
| 1387 | ✗ | SETERRQ(PetscObjectComm((PetscObject)eps),PETSC_ERR_ARG_OUTOFRANGE,"Invalid BSE type"); | |
| 1388 | } | ||
| 1389 |
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|
49 | PetscFunctionReturn(PETSC_SUCCESS); |
| 1390 | } | ||
| 1391 | |||
| 1392 | /*@ | ||
| 1393 | EPSKrylovSchurSetBSEType - Sets the method to be used for BSE structured eigenproblems | ||
| 1394 | in the Krylov-Schur solver. | ||
| 1395 | |||
| 1396 | Logically Collective | ||
| 1397 | |||
| 1398 | Input Parameters: | ||
| 1399 | + eps - the eigenproblem solver context | ||
| 1400 | - bse - the BSE method | ||
| 1401 | |||
| 1402 | Options Database Key: | ||
| 1403 | . -eps_krylovschur_bse_type - Sets the BSE type (either 'shao', 'gruning', or 'projectedbse') | ||
| 1404 | |||
| 1405 | Level: advanced | ||
| 1406 | |||
| 1407 | .seealso: EPSKrylovSchurGetBSEType(), EPSKrylovSchurBSEType, MatCreateBSE() | ||
| 1408 | @*/ | ||
| 1409 | 329 | PetscErrorCode EPSKrylovSchurSetBSEType(EPS eps,EPSKrylovSchurBSEType bse) | |
| 1410 | { | ||
| 1411 |
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329 | PetscFunctionBegin; |
| 1412 |
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329 | PetscValidHeaderSpecific(eps,EPS_CLASSID,1); |
| 1413 |
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|
329 | PetscValidLogicalCollectiveEnum(eps,bse,2); |
| 1414 |
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329 | PetscTryMethod(eps,"EPSKrylovSchurSetBSEType_C",(EPS,EPSKrylovSchurBSEType),(eps,bse)); |
| 1415 |
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|
329 | PetscFunctionReturn(PETSC_SUCCESS); |
| 1416 | } | ||
| 1417 | |||
| 1418 | ✗ | static PetscErrorCode EPSKrylovSchurGetBSEType_KrylovSchur(EPS eps,EPSKrylovSchurBSEType *bse) | |
| 1419 | { | ||
| 1420 | ✗ | EPS_KRYLOVSCHUR *ctx = (EPS_KRYLOVSCHUR*)eps->data; | |
| 1421 | |||
| 1422 | ✗ | PetscFunctionBegin; | |
| 1423 | ✗ | *bse = ctx->bse; | |
| 1424 | ✗ | PetscFunctionReturn(PETSC_SUCCESS); | |
| 1425 | } | ||
| 1426 | |||
| 1427 | /*@ | ||
| 1428 | EPSKrylovSchurGetBSEType - Gets the method used for BSE structured eigenproblems | ||
| 1429 | in the Krylov-Schur solver. | ||
| 1430 | |||
| 1431 | Not Collective | ||
| 1432 | |||
| 1433 | Input Parameter: | ||
| 1434 | . eps - the eigenproblem solver context | ||
| 1435 | |||
| 1436 | Output Parameter: | ||
| 1437 | . bse - the BSE method | ||
| 1438 | |||
| 1439 | Level: advanced | ||
| 1440 | |||
| 1441 | .seealso: EPSKrylovSchurSetBSEType(), EPSKrylovSchurBSEType, MatCreateBSE() | ||
| 1442 | @*/ | ||
| 1443 | ✗ | PetscErrorCode EPSKrylovSchurGetBSEType(EPS eps,EPSKrylovSchurBSEType *bse) | |
| 1444 | { | ||
| 1445 | ✗ | PetscFunctionBegin; | |
| 1446 | ✗ | PetscValidHeaderSpecific(eps,EPS_CLASSID,1); | |
| 1447 | ✗ | PetscAssertPointer(bse,2); | |
| 1448 | ✗ | PetscUseMethod(eps,"EPSKrylovSchurGetBSEType_C",(EPS,EPSKrylovSchurBSEType*),(eps,bse)); | |
| 1449 | ✗ | PetscFunctionReturn(PETSC_SUCCESS); | |
| 1450 | } | ||
| 1451 | |||
| 1452 | 3705 | static PetscErrorCode EPSSetFromOptions_KrylovSchur(EPS eps,PetscOptionItems PetscOptionsObject) | |
| 1453 | { | ||
| 1454 | 3705 | EPS_KRYLOVSCHUR *ctx = (EPS_KRYLOVSCHUR*)eps->data; | |
| 1455 | 3705 | PetscBool flg,lock,b,f1,f2,f3,isfilt; | |
| 1456 | 3705 | PetscReal keep; | |
| 1457 | 3705 | PetscInt i,j,k; | |
| 1458 | 3705 | KSP ksp; | |
| 1459 | 3705 | EPSKrylovSchurBSEType bse; | |
| 1460 | |||
| 1461 |
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3705 | PetscFunctionBegin; |
| 1462 |
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3705 | PetscOptionsHeadBegin(PetscOptionsObject,"EPS Krylov-Schur Options"); |
| 1463 | |||
| 1464 |
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3705 | PetscCall(PetscOptionsReal("-eps_krylovschur_restart","Proportion of vectors kept after restart","EPSKrylovSchurSetRestart",0.5,&keep,&flg)); |
| 1465 |
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|
3705 | if (flg) PetscCall(EPSKrylovSchurSetRestart(eps,keep)); |
| 1466 | |||
| 1467 |
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3705 | PetscCall(PetscOptionsBool("-eps_krylovschur_locking","Choose between locking and non-locking variants","EPSKrylovSchurSetLocking",PETSC_TRUE,&lock,&flg)); |
| 1468 |
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|
3705 | if (flg) PetscCall(EPSKrylovSchurSetLocking(eps,lock)); |
| 1469 | |||
| 1470 | 3705 | i = ctx->npart; | |
| 1471 |
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3705 | PetscCall(PetscOptionsInt("-eps_krylovschur_partitions","Number of partitions of the communicator for spectrum slicing","EPSKrylovSchurSetPartitions",ctx->npart,&i,&flg)); |
| 1472 |
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3705 | if (flg) PetscCall(EPSKrylovSchurSetPartitions(eps,i)); |
| 1473 | |||
| 1474 | 3705 | b = ctx->detect; | |
| 1475 |
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3705 | PetscCall(PetscOptionsBool("-eps_krylovschur_detect_zeros","Check zeros during factorizations at subinterval boundaries","EPSKrylovSchurSetDetectZeros",ctx->detect,&b,&flg)); |
| 1476 |
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3705 | if (flg) PetscCall(EPSKrylovSchurSetDetectZeros(eps,b)); |
| 1477 | |||
| 1478 | 3705 | i = 1; | |
| 1479 | 3705 | j = k = PETSC_DECIDE; | |
| 1480 |
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3705 | PetscCall(PetscOptionsInt("-eps_krylovschur_nev","Number of eigenvalues to compute in each subsolve (only for spectrum slicing)","EPSKrylovSchurSetDimensions",40,&i,&f1)); |
| 1481 |
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3705 | PetscCall(PetscOptionsInt("-eps_krylovschur_ncv","Number of basis vectors in each subsolve (only for spectrum slicing)","EPSKrylovSchurSetDimensions",80,&j,&f2)); |
| 1482 |
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3705 | PetscCall(PetscOptionsInt("-eps_krylovschur_mpd","Maximum dimension of projected problem in each subsolve (only for spectrum slicing)","EPSKrylovSchurSetDimensions",80,&k,&f3)); |
| 1483 |
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3705 | if (f1 || f2 || f3) PetscCall(EPSKrylovSchurSetDimensions(eps,i,j,k)); |
| 1484 | |||
| 1485 |
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3705 | PetscCall(PetscOptionsEnum("-eps_krylovschur_bse_type","Method for BSE structured eigenproblems","EPSKrylovSchurSetBSEType",EPSKrylovSchurBSETypes,(PetscEnum)ctx->bse,(PetscEnum*)&bse,&flg)); |
| 1486 |
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3705 | if (flg) PetscCall(EPSKrylovSchurSetBSEType(eps,bse)); |
| 1487 | |||
| 1488 |
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3705 | PetscOptionsHeadEnd(); |
| 1489 | |||
| 1490 | /* set options of child KSP in spectrum slicing */ | ||
| 1491 |
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3705 | if (eps->which==EPS_ALL) { |
| 1492 |
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275 | if (!eps->st) PetscCall(EPSGetST(eps,&eps->st)); |
| 1493 |
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275 | PetscCall(EPSSetDefaultST(eps)); |
| 1494 |
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275 | PetscCall(STSetFromOptions(eps->st)); /* need to advance this to check ST type */ |
| 1495 |
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275 | PetscCall(PetscObjectTypeCompare((PetscObject)eps->st,STFILTER,&isfilt)); |
| 1496 |
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275 | if (!isfilt) { |
| 1497 |
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157 | PetscCall(EPSKrylovSchurGetKSP_KrylovSchur(eps,&ksp)); |
| 1498 |
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157 | PetscCall(KSPSetFromOptions(ksp)); |
| 1499 | } | ||
| 1500 | } | ||
| 1501 |
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|
705 | PetscFunctionReturn(PETSC_SUCCESS); |
| 1502 | } | ||
| 1503 | |||
| 1504 | 40 | static PetscErrorCode EPSView_KrylovSchur(EPS eps,PetscViewer viewer) | |
| 1505 | { | ||
| 1506 | 40 | EPS_KRYLOVSCHUR *ctx = (EPS_KRYLOVSCHUR*)eps->data; | |
| 1507 | 40 | PetscBool isascii,isfilt; | |
| 1508 | 40 | KSP ksp; | |
| 1509 | 40 | PetscViewer sviewer; | |
| 1510 | |||
| 1511 |
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40 | PetscFunctionBegin; |
| 1512 |
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40 | PetscCall(PetscObjectTypeCompare((PetscObject)viewer,PETSCVIEWERASCII,&isascii)); |
| 1513 |
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40 | if (isascii) { |
| 1514 |
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40 | PetscCall(PetscViewerASCIIPrintf(viewer," %d%% of basis vectors kept after restart\n",(int)(100*ctx->keep))); |
| 1515 |
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40 | PetscCall(PetscViewerASCIIPrintf(viewer," using the %slocking variant\n",ctx->lock?"":"non-")); |
| 1516 |
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40 | if (eps->problem_type==EPS_BSE) PetscCall(PetscViewerASCIIPrintf(viewer," BSE method: %s\n",EPSKrylovSchurBSETypes[ctx->bse])); |
| 1517 |
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40 | if (eps->which==EPS_ALL) { |
| 1518 | ✗ | PetscCall(PetscObjectTypeCompare((PetscObject)eps->st,STFILTER,&isfilt)); | |
| 1519 | ✗ | if (isfilt) PetscCall(PetscViewerASCIIPrintf(viewer," using filtering to extract all eigenvalues in an interval\n")); | |
| 1520 | else { | ||
| 1521 | ✗ | PetscCall(PetscViewerASCIIPrintf(viewer," doing spectrum slicing with nev=%" PetscInt_FMT ", ncv=%" PetscInt_FMT ", mpd=%" PetscInt_FMT "\n",ctx->nev,ctx->ncv,ctx->mpd)); | |
| 1522 | ✗ | if (ctx->npart>1) { | |
| 1523 | ✗ | PetscCall(PetscViewerASCIIPrintf(viewer," multi-communicator spectrum slicing with %" PetscInt_FMT " partitions\n",ctx->npart)); | |
| 1524 | ✗ | if (ctx->detect) PetscCall(PetscViewerASCIIPrintf(viewer," detecting zeros when factorizing at subinterval boundaries\n")); | |
| 1525 | } | ||
| 1526 | /* view child KSP */ | ||
| 1527 | ✗ | PetscCall(EPSKrylovSchurGetKSP_KrylovSchur(eps,&ksp)); | |
| 1528 | ✗ | PetscCall(PetscViewerASCIIPushTab(viewer)); | |
| 1529 | ✗ | if (ctx->npart>1 && ctx->subc) { | |
| 1530 | ✗ | PetscCall(PetscViewerGetSubViewer(viewer,ctx->subc->child,&sviewer)); | |
| 1531 | ✗ | if (!ctx->subc->color) PetscCall(KSPView(ksp,sviewer)); | |
| 1532 | ✗ | PetscCall(PetscViewerFlush(sviewer)); | |
| 1533 | ✗ | PetscCall(PetscViewerRestoreSubViewer(viewer,ctx->subc->child,&sviewer)); | |
| 1534 | /* extra call needed because of the two calls to PetscViewerASCIIPushSynchronized() in PetscViewerGetSubViewer() */ | ||
| 1535 | ✗ | PetscCall(PetscViewerASCIIPopSynchronized(viewer)); | |
| 1536 | ✗ | } else PetscCall(KSPView(ksp,viewer)); | |
| 1537 | ✗ | PetscCall(PetscViewerASCIIPopTab(viewer)); | |
| 1538 | } | ||
| 1539 | } | ||
| 1540 | } | ||
| 1541 |
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8 | PetscFunctionReturn(PETSC_SUCCESS); |
| 1542 | } | ||
| 1543 | |||
| 1544 | 4129 | static PetscErrorCode EPSDestroy_KrylovSchur(EPS eps) | |
| 1545 | { | ||
| 1546 | 4129 | PetscBool isfilt; | |
| 1547 | |||
| 1548 |
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4129 | PetscFunctionBegin; |
| 1549 |
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4129 | PetscCall(PetscObjectTypeCompare((PetscObject)eps->st,STFILTER,&isfilt)); |
| 1550 |
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4129 | if (eps->which==EPS_ALL && !isfilt) PetscCall(EPSDestroy_KrylovSchur_Slice(eps)); |
| 1551 |
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4129 | PetscCall(PetscFree(eps->data)); |
| 1552 |
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4129 | PetscCall(PetscObjectComposeFunction((PetscObject)eps,"EPSKrylovSchurSetRestart_C",NULL)); |
| 1553 |
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4129 | PetscCall(PetscObjectComposeFunction((PetscObject)eps,"EPSKrylovSchurGetRestart_C",NULL)); |
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4129 | PetscCall(PetscObjectComposeFunction((PetscObject)eps,"EPSKrylovSchurSetLocking_C",NULL)); |
| 1555 |
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4129 | PetscCall(PetscObjectComposeFunction((PetscObject)eps,"EPSKrylovSchurGetLocking_C",NULL)); |
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4129 | PetscCall(PetscObjectComposeFunction((PetscObject)eps,"EPSKrylovSchurSetPartitions_C",NULL)); |
| 1557 |
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4129 | PetscCall(PetscObjectComposeFunction((PetscObject)eps,"EPSKrylovSchurGetPartitions_C",NULL)); |
| 1558 |
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4129 | PetscCall(PetscObjectComposeFunction((PetscObject)eps,"EPSKrylovSchurSetDetectZeros_C",NULL)); |
| 1559 |
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4129 | PetscCall(PetscObjectComposeFunction((PetscObject)eps,"EPSKrylovSchurGetDetectZeros_C",NULL)); |
| 1560 |
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4129 | PetscCall(PetscObjectComposeFunction((PetscObject)eps,"EPSKrylovSchurSetDimensions_C",NULL)); |
| 1561 |
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4129 | PetscCall(PetscObjectComposeFunction((PetscObject)eps,"EPSKrylovSchurGetDimensions_C",NULL)); |
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4129 | PetscCall(PetscObjectComposeFunction((PetscObject)eps,"EPSKrylovSchurSetSubintervals_C",NULL)); |
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4129 | PetscCall(PetscObjectComposeFunction((PetscObject)eps,"EPSKrylovSchurGetSubintervals_C",NULL)); |
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4129 | PetscCall(PetscObjectComposeFunction((PetscObject)eps,"EPSKrylovSchurGetInertias_C",NULL)); |
| 1565 |
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4129 | PetscCall(PetscObjectComposeFunction((PetscObject)eps,"EPSKrylovSchurGetSubcommInfo_C",NULL)); |
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4129 | PetscCall(PetscObjectComposeFunction((PetscObject)eps,"EPSKrylovSchurGetSubcommPairs_C",NULL)); |
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4129 | PetscCall(PetscObjectComposeFunction((PetscObject)eps,"EPSKrylovSchurGetSubcommMats_C",NULL)); |
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4129 | PetscCall(PetscObjectComposeFunction((PetscObject)eps,"EPSKrylovSchurUpdateSubcommMats_C",NULL)); |
| 1569 |
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4129 | PetscCall(PetscObjectComposeFunction((PetscObject)eps,"EPSKrylovSchurGetKSP_C",NULL)); |
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4129 | PetscCall(PetscObjectComposeFunction((PetscObject)eps,"EPSKrylovSchurSetBSEType_C",NULL)); |
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4129 | PetscCall(PetscObjectComposeFunction((PetscObject)eps,"EPSKrylovSchurGetBSEType_C",NULL)); |
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782 | PetscFunctionReturn(PETSC_SUCCESS); |
| 1573 | } | ||
| 1574 | |||
| 1575 | 5699 | static PetscErrorCode EPSReset_KrylovSchur(EPS eps) | |
| 1576 | { | ||
| 1577 | 5699 | PetscBool isfilt; | |
| 1578 | |||
| 1579 |
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5699 | PetscFunctionBegin; |
| 1580 |
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5699 | PetscCall(PetscObjectTypeCompare((PetscObject)eps->st,STFILTER,&isfilt)); |
| 1581 |
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5699 | if (eps->which==EPS_ALL && !isfilt) PetscCall(EPSReset_KrylovSchur_Slice(eps)); |
| 1582 |
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1078 | PetscFunctionReturn(PETSC_SUCCESS); |
| 1583 | } | ||
| 1584 | |||
| 1585 | 10101 | static PetscErrorCode EPSSetDefaultST_KrylovSchur(EPS eps) | |
| 1586 | { | ||
| 1587 |
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10101 | PetscFunctionBegin; |
| 1588 |
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10101 | if (eps->which==EPS_ALL) { |
| 1589 |
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1122 | if (!((PetscObject)eps->st)->type_name) PetscCall(STSetType(eps->st,STSINVERT)); |
| 1590 | } | ||
| 1591 |
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1894 | PetscFunctionReturn(PETSC_SUCCESS); |
| 1592 | } | ||
| 1593 | |||
| 1594 | 4129 | SLEPC_EXTERN PetscErrorCode EPSCreate_KrylovSchur(EPS eps) | |
| 1595 | { | ||
| 1596 | 4129 | EPS_KRYLOVSCHUR *ctx; | |
| 1597 | |||
| 1598 |
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4129 | PetscFunctionBegin; |
| 1599 |
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4129 | PetscCall(PetscNew(&ctx)); |
| 1600 | 4129 | eps->data = (void*)ctx; | |
| 1601 | 4129 | ctx->lock = PETSC_TRUE; | |
| 1602 | 4129 | ctx->nev = 1; | |
| 1603 | 4129 | ctx->ncv = PETSC_DETERMINE; | |
| 1604 | 4129 | ctx->mpd = PETSC_DETERMINE; | |
| 1605 | 4129 | ctx->npart = 1; | |
| 1606 | 4129 | ctx->detect = PETSC_FALSE; | |
| 1607 | 4129 | ctx->global = PETSC_TRUE; | |
| 1608 | |||
| 1609 | 4129 | eps->useds = PETSC_TRUE; | |
| 1610 | |||
| 1611 | /* solve and computevectors determined at setup */ | ||
| 1612 | 4129 | eps->ops->setup = EPSSetUp_KrylovSchur; | |
| 1613 | 4129 | eps->ops->setupsort = EPSSetUpSort_KrylovSchur; | |
| 1614 | 4129 | eps->ops->setfromoptions = EPSSetFromOptions_KrylovSchur; | |
| 1615 | 4129 | eps->ops->destroy = EPSDestroy_KrylovSchur; | |
| 1616 | 4129 | eps->ops->reset = EPSReset_KrylovSchur; | |
| 1617 | 4129 | eps->ops->view = EPSView_KrylovSchur; | |
| 1618 | 4129 | eps->ops->backtransform = EPSBackTransform_Default; | |
| 1619 | 4129 | eps->ops->setdefaultst = EPSSetDefaultST_KrylovSchur; | |
| 1620 | |||
| 1621 |
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4129 | PetscCall(PetscObjectComposeFunction((PetscObject)eps,"EPSKrylovSchurSetRestart_C",EPSKrylovSchurSetRestart_KrylovSchur)); |
| 1622 |
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4129 | PetscCall(PetscObjectComposeFunction((PetscObject)eps,"EPSKrylovSchurGetRestart_C",EPSKrylovSchurGetRestart_KrylovSchur)); |
| 1623 |
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4129 | PetscCall(PetscObjectComposeFunction((PetscObject)eps,"EPSKrylovSchurSetLocking_C",EPSKrylovSchurSetLocking_KrylovSchur)); |
| 1624 |
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4129 | PetscCall(PetscObjectComposeFunction((PetscObject)eps,"EPSKrylovSchurGetLocking_C",EPSKrylovSchurGetLocking_KrylovSchur)); |
| 1625 |
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4129 | PetscCall(PetscObjectComposeFunction((PetscObject)eps,"EPSKrylovSchurSetPartitions_C",EPSKrylovSchurSetPartitions_KrylovSchur)); |
| 1626 |
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4129 | PetscCall(PetscObjectComposeFunction((PetscObject)eps,"EPSKrylovSchurGetPartitions_C",EPSKrylovSchurGetPartitions_KrylovSchur)); |
| 1627 |
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4129 | PetscCall(PetscObjectComposeFunction((PetscObject)eps,"EPSKrylovSchurSetDetectZeros_C",EPSKrylovSchurSetDetectZeros_KrylovSchur)); |
| 1628 |
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4129 | PetscCall(PetscObjectComposeFunction((PetscObject)eps,"EPSKrylovSchurGetDetectZeros_C",EPSKrylovSchurGetDetectZeros_KrylovSchur)); |
| 1629 |
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4129 | PetscCall(PetscObjectComposeFunction((PetscObject)eps,"EPSKrylovSchurSetDimensions_C",EPSKrylovSchurSetDimensions_KrylovSchur)); |
| 1630 |
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4129 | PetscCall(PetscObjectComposeFunction((PetscObject)eps,"EPSKrylovSchurGetDimensions_C",EPSKrylovSchurGetDimensions_KrylovSchur)); |
| 1631 |
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4129 | PetscCall(PetscObjectComposeFunction((PetscObject)eps,"EPSKrylovSchurSetSubintervals_C",EPSKrylovSchurSetSubintervals_KrylovSchur)); |
| 1632 |
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4129 | PetscCall(PetscObjectComposeFunction((PetscObject)eps,"EPSKrylovSchurGetSubintervals_C",EPSKrylovSchurGetSubintervals_KrylovSchur)); |
| 1633 |
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4129 | PetscCall(PetscObjectComposeFunction((PetscObject)eps,"EPSKrylovSchurGetInertias_C",EPSKrylovSchurGetInertias_KrylovSchur)); |
| 1634 |
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4129 | PetscCall(PetscObjectComposeFunction((PetscObject)eps,"EPSKrylovSchurGetSubcommInfo_C",EPSKrylovSchurGetSubcommInfo_KrylovSchur)); |
| 1635 |
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4129 | PetscCall(PetscObjectComposeFunction((PetscObject)eps,"EPSKrylovSchurGetSubcommPairs_C",EPSKrylovSchurGetSubcommPairs_KrylovSchur)); |
| 1636 |
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4129 | PetscCall(PetscObjectComposeFunction((PetscObject)eps,"EPSKrylovSchurGetSubcommMats_C",EPSKrylovSchurGetSubcommMats_KrylovSchur)); |
| 1637 |
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4129 | PetscCall(PetscObjectComposeFunction((PetscObject)eps,"EPSKrylovSchurUpdateSubcommMats_C",EPSKrylovSchurUpdateSubcommMats_KrylovSchur)); |
| 1638 |
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4129 | PetscCall(PetscObjectComposeFunction((PetscObject)eps,"EPSKrylovSchurGetKSP_C",EPSKrylovSchurGetKSP_KrylovSchur)); |
| 1639 |
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4129 | PetscCall(PetscObjectComposeFunction((PetscObject)eps,"EPSKrylovSchurSetBSEType_C",EPSKrylovSchurSetBSEType_KrylovSchur)); |
| 1640 |
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4129 | PetscCall(PetscObjectComposeFunction((PetscObject)eps,"EPSKrylovSchurGetBSEType_C",EPSKrylovSchurGetBSEType_KrylovSchur)); |
| 1641 |
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782 | PetscFunctionReturn(PETSC_SUCCESS); |
| 1642 | } | ||
| 1643 |