| 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: "lobpcg" | ||
| 12 | |||
| 13 | Method: Locally Optimal Block Preconditioned Conjugate Gradient | ||
| 14 | |||
| 15 | Algorithm: | ||
| 16 | |||
| 17 | LOBPCG with soft and hard locking. Follows the implementation | ||
| 18 | in BLOPEX [2]. | ||
| 19 | |||
| 20 | References: | ||
| 21 | |||
| 22 | [1] A. V. Knyazev, "Toward the optimal preconditioned eigensolver: | ||
| 23 | locally optimal block preconditioned conjugate gradient method", | ||
| 24 | SIAM J. Sci. Comput. 23(2):517-541, 2001. | ||
| 25 | |||
| 26 | [2] A. V. Knyazev et al., "Block Locally Optimal Preconditioned | ||
| 27 | Eigenvalue Xolvers (BLOPEX) in Hypre and PETSc", SIAM J. Sci. | ||
| 28 | Comput. 29(5):2224-2239, 2007. | ||
| 29 | */ | ||
| 30 | |||
| 31 | #include <slepc/private/epsimpl.h> /*I "slepceps.h" I*/ | ||
| 32 | |||
| 33 | typedef struct { | ||
| 34 | PetscInt bs; /* block size */ | ||
| 35 | PetscBool lock; /* soft locking active/inactive */ | ||
| 36 | PetscReal restart; /* restart parameter */ | ||
| 37 | PetscInt guard; /* number of guard vectors */ | ||
| 38 | } EPS_LOBPCG; | ||
| 39 | |||
| 40 | 226 | static PetscErrorCode EPSSetDimensions_LOBPCG(EPS eps,PetscInt *nev,PetscInt *ncv,PetscInt *mpd) | |
| 41 | { | ||
| 42 | 226 | EPS_LOBPCG *ctx = (EPS_LOBPCG*)eps->data; | |
| 43 | 226 | PetscInt k; | |
| 44 | |||
| 45 |
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226 | PetscFunctionBegin; |
| 46 |
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226 | if (*nev==0) *nev = 1; |
| 47 | 226 | k = PetscMax(3*ctx->bs,((*nev-1)/ctx->bs+3)*ctx->bs); | |
| 48 |
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226 | if (*ncv!=PETSC_DETERMINE) { /* ncv set */ |
| 49 |
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76 | PetscCheck(*ncv>=k,PetscObjectComm((PetscObject)eps),PETSC_ERR_USER_INPUT,"The value of ncv is not sufficiently large"); |
| 50 | 150 | } else *ncv = k; | |
| 51 |
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226 | if (*mpd==PETSC_DETERMINE) *mpd = 3*ctx->bs; |
| 52 |
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48 | else PetscCheck(*mpd==3*ctx->bs,PetscObjectComm((PetscObject)eps),PETSC_ERR_USER_INPUT,"This solver does not allow a value of mpd different from 3*blocksize"); |
| 53 |
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58 | PetscFunctionReturn(PETSC_SUCCESS); |
| 54 | } | ||
| 55 | |||
| 56 | 226 | static PetscErrorCode EPSSetUp_LOBPCG(EPS eps) | |
| 57 | { | ||
| 58 | 226 | EPS_LOBPCG *ctx = (EPS_LOBPCG*)eps->data; | |
| 59 | |||
| 60 |
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226 | PetscFunctionBegin; |
| 61 |
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226 | EPSCheckHermitianDefinite(eps); |
| 62 |
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226 | EPSCheckNotStructured(eps); |
| 63 |
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326 | if (!ctx->bs) ctx->bs = PetscMin(16,eps->nev?eps->nev:1); |
| 64 |
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226 | PetscCheck(eps->n-eps->nds>=5*ctx->bs,PetscObjectComm((PetscObject)eps),PETSC_ERR_SUP,"The problem size is too small relative to the block size"); |
| 65 |
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226 | PetscCall(EPSSetDimensions_LOBPCG(eps,&eps->nev,&eps->ncv,&eps->mpd)); |
| 66 |
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226 | if (eps->max_it==PETSC_DETERMINE) eps->max_it = PetscMax(100,2*eps->n/eps->ncv); |
| 67 |
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226 | if (!eps->which) eps->which = EPS_SMALLEST_REAL; |
| 68 |
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226 | PetscCheck(eps->which==EPS_SMALLEST_REAL || eps->which==EPS_LARGEST_REAL,PetscObjectComm((PetscObject)eps),PETSC_ERR_SUP,"This solver supports only smallest real or largest real eigenvalues"); |
| 69 |
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226 | EPSCheckUnsupported(eps,EPS_FEATURE_ARBITRARY | EPS_FEATURE_REGION | EPS_FEATURE_EXTRACTION | EPS_FEATURE_THRESHOLD); |
| 70 |
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226 | EPSCheckIgnored(eps,EPS_FEATURE_BALANCE); |
| 71 | |||
| 72 |
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226 | if (!ctx->restart) ctx->restart = 0.9; |
| 73 | |||
| 74 | /* number of guard vectors */ | ||
| 75 |
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226 | if (ctx->bs==1) ctx->guard = 0; |
| 76 | 194 | else ctx->guard = PetscMin((PetscInt)((1.0-ctx->restart)*ctx->bs+0.45),ctx->bs-1); | |
| 77 | |||
| 78 |
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226 | PetscCall(EPSAllocateSolution(eps,0)); |
| 79 |
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226 | PetscCall(EPS_SetInnerProduct(eps)); |
| 80 |
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226 | PetscCall(DSSetType(eps->ds,DSGHEP)); |
| 81 |
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226 | PetscCall(DSAllocate(eps->ds,eps->mpd)); |
| 82 |
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226 | PetscCall(EPSSetWorkVecs(eps,1)); |
| 83 |
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58 | PetscFunctionReturn(PETSC_SUCCESS); |
| 84 | } | ||
| 85 | |||
| 86 | 226 | static PetscErrorCode EPSSolve_LOBPCG(EPS eps) | |
| 87 | { | ||
| 88 | 226 | EPS_LOBPCG *ctx = (EPS_LOBPCG*)eps->data; | |
| 89 | 226 | PetscInt i,j,k,nv,ini,nmat,nc,nconv,locked,its,prev=0; | |
| 90 | 226 | PetscReal norm; | |
| 91 | 226 | PetscScalar *eigr,dot; | |
| 92 | 226 | PetscBool breakdown,countc,flip=PETSC_FALSE,checkprecond=PETSC_FALSE; | |
| 93 | 226 | Mat A,B,M,V=NULL,W=NULL; | |
| 94 | 226 | Vec v,z,w=eps->work[0]; | |
| 95 | 226 | BV X,Y=NULL,Z,R,P,AX,BX; | |
| 96 | 226 | SlepcSC sc; | |
| 97 | |||
| 98 |
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226 | PetscFunctionBegin; |
| 99 |
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226 | PetscCall(STGetNumMatrices(eps->st,&nmat)); |
| 100 |
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226 | PetscCall(STGetMatrix(eps->st,0,&A)); |
| 101 |
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226 | if (nmat>1) PetscCall(STGetMatrix(eps->st,1,&B)); |
| 102 | 166 | else B = NULL; | |
| 103 | |||
| 104 |
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226 | if (eps->which==EPS_LARGEST_REAL) { /* flip spectrum */ |
| 105 | 10 | flip = PETSC_TRUE; | |
| 106 |
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10 | PetscCall(DSGetSlepcSC(eps->ds,&sc)); |
| 107 | 10 | sc->comparison = SlepcCompareSmallestReal; | |
| 108 | } | ||
| 109 | |||
| 110 | /* undocumented option to check for a positive-definite preconditioner (turn-off by default) */ | ||
| 111 |
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226 | PetscCall(PetscOptionsGetBool(NULL,NULL,"-eps_lobpcg_checkprecond",&checkprecond,NULL)); |
| 112 | |||
| 113 | /* 1. Allocate memory */ | ||
| 114 |
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226 | PetscCall(PetscCalloc1(3*ctx->bs,&eigr)); |
| 115 |
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226 | PetscCall(BVDuplicateResize(eps->V,3*ctx->bs,&Z)); |
| 116 |
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226 | PetscCall(BVDuplicateResize(eps->V,ctx->bs,&X)); |
| 117 |
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226 | PetscCall(BVDuplicateResize(eps->V,ctx->bs,&R)); |
| 118 |
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226 | PetscCall(BVDuplicateResize(eps->V,ctx->bs,&P)); |
| 119 |
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226 | PetscCall(BVDuplicateResize(eps->V,ctx->bs,&AX)); |
| 120 |
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226 | if (B) PetscCall(BVDuplicateResize(eps->V,ctx->bs,&BX)); |
| 121 | 226 | nc = eps->nds; | |
| 122 |
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226 | if (nc>0 || eps->nev>ctx->bs-ctx->guard) PetscCall(BVDuplicateResize(eps->V,nc+eps->nev,&Y)); |
| 123 |
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226 | if (nc>0) { |
| 124 |
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46 | for (j=0;j<nc;j++) { |
| 125 |
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28 | PetscCall(BVGetColumn(eps->V,-nc+j,&v)); |
| 126 |
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28 | PetscCall(BVInsertVec(Y,j,v)); |
| 127 |
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28 | PetscCall(BVRestoreColumn(eps->V,-nc+j,&v)); |
| 128 | } | ||
| 129 |
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18 | PetscCall(BVSetActiveColumns(Y,0,nc)); |
| 130 | } | ||
| 131 | |||
| 132 | /* 2. Apply the constraints to the initial vectors */ | ||
| 133 | /* 3. B-orthogonalize initial vectors */ | ||
| 134 |
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2342 | for (k=eps->nini;k<eps->ncv-ctx->bs;k++) { /* Generate more initial vectors if necessary */ |
| 135 |
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2116 | PetscCall(BVSetRandomColumn(eps->V,k)); |
| 136 |
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2116 | PetscCall(BVOrthonormalizeColumn(eps->V,k,PETSC_TRUE,NULL,NULL)); |
| 137 | } | ||
| 138 | 226 | nv = ctx->bs; | |
| 139 |
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226 | PetscCall(BVSetActiveColumns(eps->V,0,nv)); |
| 140 |
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226 | PetscCall(BVSetActiveColumns(Z,0,nv)); |
| 141 |
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226 | PetscCall(BVCopy(eps->V,Z)); |
| 142 |
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226 | PetscCall(BVCopy(Z,X)); |
| 143 | |||
| 144 | /* 4. Compute initial Ritz vectors */ | ||
| 145 |
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226 | PetscCall(BVMatMult(X,A,AX)); |
| 146 |
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226 | PetscCall(DSSetDimensions(eps->ds,nv,0,0)); |
| 147 |
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226 | PetscCall(DSGetMat(eps->ds,DS_MAT_A,&M)); |
| 148 |
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226 | PetscCall(BVMatProject(AX,NULL,X,M)); |
| 149 |
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226 | if (flip) PetscCall(MatScale(M,-1.0)); |
| 150 |
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226 | PetscCall(DSRestoreMat(eps->ds,DS_MAT_A,&M)); |
| 151 |
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226 | PetscCall(DSSetIdentity(eps->ds,DS_MAT_B)); |
| 152 |
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226 | PetscCall(DSSetState(eps->ds,DS_STATE_RAW)); |
| 153 |
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226 | PetscCall(DSSolve(eps->ds,eigr,NULL)); |
| 154 |
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226 | PetscCall(DSSort(eps->ds,eigr,NULL,NULL,NULL,NULL)); |
| 155 |
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226 | PetscCall(DSSynchronize(eps->ds,eigr,NULL)); |
| 156 |
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1086 | for (j=0;j<nv;j++) eps->eigr[j] = flip? -eigr[j]: eigr[j]; |
| 157 |
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226 | PetscCall(DSVectors(eps->ds,DS_MAT_X,NULL,NULL)); |
| 158 |
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226 | PetscCall(DSGetMat(eps->ds,DS_MAT_X,&M)); |
| 159 |
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226 | PetscCall(BVMultInPlace(X,M,0,nv)); |
| 160 |
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226 | PetscCall(BVMultInPlace(AX,M,0,nv)); |
| 161 |
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226 | PetscCall(DSRestoreMat(eps->ds,DS_MAT_X,&M)); |
| 162 | |||
| 163 | /* 5. Initialize range of active iterates */ | ||
| 164 | locked = 0; /* hard-locked vectors, the leading locked columns of V are eigenvectors */ | ||
| 165 | nconv = 0; /* number of converged eigenvalues in the current block */ | ||
| 166 | its = 0; /* iterations for the current block */ | ||
| 167 | |||
| 168 | /* 6. Main loop */ | ||
| 169 | 12376 | while (eps->reason == EPS_CONVERGED_ITERATING) { | |
| 170 | |||
| 171 |
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12376 | if (ctx->lock) { |
| 172 |
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9596 | PetscCall(BVSetActiveColumns(R,nconv,ctx->bs)); |
| 173 |
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9596 | PetscCall(BVSetActiveColumns(AX,nconv,ctx->bs)); |
| 174 |
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|
9596 | if (B) PetscCall(BVSetActiveColumns(BX,nconv,ctx->bs)); |
| 175 | } | ||
| 176 | |||
| 177 | /* 7. Compute residuals */ | ||
| 178 |
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12376 | ini = (ctx->lock)? nconv: 0; |
| 179 |
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12376 | PetscCall(BVCopy(AX,R)); |
| 180 |
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12376 | if (B) PetscCall(BVMatMult(X,B,BX)); |
| 181 |
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48649 | for (j=ini;j<ctx->bs;j++) { |
| 182 |
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36273 | PetscCall(BVGetColumn(R,j,&v)); |
| 183 |
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36273 | PetscCall(BVGetColumn(B?BX:X,j,&z)); |
| 184 |
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36273 | PetscCall(VecAXPY(v,-eps->eigr[locked+j],z)); |
| 185 |
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36273 | PetscCall(BVRestoreColumn(R,j,&v)); |
| 186 |
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36273 | PetscCall(BVRestoreColumn(B?BX:X,j,&z)); |
| 187 | } | ||
| 188 | |||
| 189 | /* 8. Compute residual norms and update index set of active iterates */ | ||
| 190 | k = ini; | ||
| 191 | countc = PETSC_TRUE; | ||
| 192 |
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14177 | for (j=ini;j<ctx->bs;j++) { |
| 193 | 13979 | i = locked+j; | |
| 194 |
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13979 | PetscCall(BVGetColumn(R,j,&v)); |
| 195 |
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13979 | PetscCall(VecNorm(v,NORM_2,&norm)); |
| 196 |
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13979 | PetscCall(BVRestoreColumn(R,j,&v)); |
| 197 |
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|
13979 | PetscCall((*eps->converged)(eps,eps->eigr[i],eps->eigi[i],norm,&eps->errest[i],eps->convergedctx)); |
| 198 |
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13979 | if (countc) { |
| 199 |
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13979 | if (eps->errest[i] < eps->tol) k++; |
| 200 | else countc = PETSC_FALSE; | ||
| 201 | } | ||
| 202 |
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13979 | if (!countc && !eps->trackall) break; |
| 203 | } | ||
| 204 | 12376 | nconv = k; | |
| 205 | 12376 | eps->nconv = locked + nconv; | |
| 206 |
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12376 | if (its) PetscCall(EPSMonitor(eps,eps->its+its,eps->nconv,eps->eigr,eps->eigi,eps->errest,locked+ctx->bs)); |
| 207 |
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12376 | PetscCall((*eps->stopping)(eps,eps->its+its,eps->max_it,eps->nconv,eps->nev,&eps->reason,eps->stoppingctx)); |
| 208 |
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12376 | if (eps->reason != EPS_CONVERGED_ITERATING || nconv >= ctx->bs-ctx->guard) { |
| 209 |
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278 | PetscCall(BVSetActiveColumns(eps->V,locked,eps->nconv)); |
| 210 |
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278 | PetscCall(BVSetActiveColumns(X,0,nconv)); |
| 211 |
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278 | PetscCall(BVCopy(X,eps->V)); |
| 212 | } | ||
| 213 |
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12376 | if (eps->reason != EPS_CONVERGED_ITERATING) { |
| 214 | break; | ||
| 215 |
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12150 | } else if (nconv >= ctx->bs-ctx->guard) { |
| 216 | 52 | eps->its += its-1; | |
| 217 | 52 | its = 0; | |
| 218 | 12098 | } else its++; | |
| 219 | |||
| 220 |
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12150 | if (nconv >= ctx->bs-ctx->guard) { /* force hard locking of vectors and compute new R */ |
| 221 | |||
| 222 | /* extend constraints */ | ||
| 223 |
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52 | PetscCall(BVSetActiveColumns(Y,nc+locked,nc+locked+nconv)); |
| 224 |
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52 | PetscCall(BVCopy(X,Y)); |
| 225 |
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52 | PetscCall(BVSetActiveColumns(Y,0,nc+locked+nconv)); |
| 226 | |||
| 227 | /* shift work BV's */ | ||
| 228 |
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80 | for (j=nconv;j<ctx->bs;j++) { |
| 229 |
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28 | PetscCall(BVCopyColumn(X,j,j-nconv)); |
| 230 |
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28 | PetscCall(BVCopyColumn(R,j,j-nconv)); |
| 231 |
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28 | PetscCall(BVCopyColumn(P,j,j-nconv)); |
| 232 |
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28 | PetscCall(BVCopyColumn(AX,j,j-nconv)); |
| 233 |
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28 | if (B) PetscCall(BVCopyColumn(BX,j,j-nconv)); |
| 234 | } | ||
| 235 | |||
| 236 | /* set new initial vectors */ | ||
| 237 |
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52 | PetscCall(BVSetActiveColumns(eps->V,locked+ctx->bs,locked+ctx->bs+nconv)); |
| 238 |
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52 | PetscCall(BVSetActiveColumns(X,ctx->bs-nconv,ctx->bs)); |
| 239 |
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52 | PetscCall(BVCopy(eps->V,X)); |
| 240 |
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252 | for (j=ctx->bs-nconv;j<ctx->bs;j++) { |
| 241 |
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200 | PetscCall(BVGetColumn(X,j,&v)); |
| 242 |
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200 | PetscCall(BVOrthogonalizeVec(Y,v,NULL,&norm,&breakdown)); |
| 243 |
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200 | if (norm>0.0 && !breakdown) PetscCall(VecScale(v,1.0/norm)); |
| 244 | else { | ||
| 245 | ✗ | PetscCall(PetscInfo(eps,"Orthogonalization of initial vector failed\n")); | |
| 246 | ✗ | eps->reason = EPS_DIVERGED_BREAKDOWN; | |
| 247 | ✗ | goto diverged; | |
| 248 | } | ||
| 249 |
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200 | PetscCall(BVRestoreColumn(X,j,&v)); |
| 250 | } | ||
| 251 | 52 | locked += nconv; | |
| 252 | 52 | nconv = 0; | |
| 253 |
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52 | PetscCall(BVSetActiveColumns(X,nconv,ctx->bs)); |
| 254 | |||
| 255 | /* B-orthogonalize initial vectors */ | ||
| 256 |
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52 | PetscCall(BVOrthogonalize(X,NULL)); |
| 257 |
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52 | PetscCall(BVSetActiveColumns(Z,nconv,ctx->bs)); |
| 258 |
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52 | PetscCall(BVSetActiveColumns(AX,nconv,ctx->bs)); |
| 259 |
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52 | PetscCall(BVCopy(X,Z)); |
| 260 | |||
| 261 | /* compute initial Ritz vectors */ | ||
| 262 | 52 | nv = ctx->bs; | |
| 263 |
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52 | PetscCall(BVMatMult(X,A,AX)); |
| 264 |
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52 | PetscCall(DSSetDimensions(eps->ds,nv,0,0)); |
| 265 |
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52 | PetscCall(DSGetMat(eps->ds,DS_MAT_A,&M)); |
| 266 |
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52 | PetscCall(BVMatProject(AX,NULL,X,M)); |
| 267 |
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52 | if (flip) PetscCall(MatScale(M,-1.0)); |
| 268 |
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52 | PetscCall(DSRestoreMat(eps->ds,DS_MAT_A,&M)); |
| 269 |
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52 | PetscCall(DSSetIdentity(eps->ds,DS_MAT_B)); |
| 270 |
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52 | PetscCall(DSSetState(eps->ds,DS_STATE_RAW)); |
| 271 |
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52 | PetscCall(DSSolve(eps->ds,eigr,NULL)); |
| 272 |
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52 | PetscCall(DSSort(eps->ds,eigr,NULL,NULL,NULL,NULL)); |
| 273 |
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52 | PetscCall(DSSynchronize(eps->ds,eigr,NULL)); |
| 274 |
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|
280 | for (j=0;j<nv;j++) if (locked+j<eps->ncv) eps->eigr[locked+j] = flip? -eigr[j]: eigr[j]; |
| 275 |
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52 | PetscCall(DSVectors(eps->ds,DS_MAT_X,NULL,NULL)); |
| 276 |
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52 | PetscCall(DSGetMat(eps->ds,DS_MAT_X,&M)); |
| 277 |
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52 | PetscCall(BVMultInPlace(X,M,0,nv)); |
| 278 |
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52 | PetscCall(BVMultInPlace(AX,M,0,nv)); |
| 279 |
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52 | PetscCall(DSRestoreMat(eps->ds,DS_MAT_X,&M)); |
| 280 | |||
| 281 | 52 | continue; /* skip the rest of the iteration */ | |
| 282 | } | ||
| 283 | |||
| 284 |
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12098 | ini = (ctx->lock)? nconv: 0; |
| 285 |
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12098 | if (ctx->lock) { |
| 286 |
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9350 | PetscCall(BVSetActiveColumns(R,nconv,ctx->bs)); |
| 287 |
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9350 | PetscCall(BVSetActiveColumns(P,nconv,ctx->bs)); |
| 288 |
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9350 | PetscCall(BVSetActiveColumns(AX,nconv,ctx->bs)); |
| 289 |
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|
9350 | if (B) PetscCall(BVSetActiveColumns(BX,nconv,ctx->bs)); |
| 290 | } | ||
| 291 | |||
| 292 | /* 9. Apply preconditioner to the residuals */ | ||
| 293 |
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12098 | PetscCall(BVGetMat(R,&V)); |
| 294 |
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12098 | if (prev != ctx->bs-ini) { |
| 295 | 710 | prev = ctx->bs-ini; | |
| 296 |
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710 | PetscCall(MatDestroy(&W)); |
| 297 |
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710 | PetscCall(MatDuplicate(V,MAT_SHARE_NONZERO_PATTERN,&W)); |
| 298 | } | ||
| 299 |
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12098 | PetscCall(STApplyMat(eps->st,V,W)); |
| 300 |
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12098 | if (checkprecond) { |
| 301 |
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|
10992 | for (j=ini;j<ctx->bs;j++) { |
| 302 |
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8244 | PetscCall(MatDenseGetColumnVecRead(V,j-ini,&v)); |
| 303 |
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|
8244 | PetscCall(MatDenseGetColumnVecRead(W,j-ini,&w)); |
| 304 |
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|
8244 | PetscCall(VecDot(v,w,&dot)); |
| 305 |
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|
8244 | PetscCall(MatDenseRestoreColumnVecRead(W,j-ini,&w)); |
| 306 |
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|
8244 | PetscCall(MatDenseRestoreColumnVecRead(V,j-ini,&v)); |
| 307 |
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|
8244 | if (PetscRealPart(dot)<0.0) { |
| 308 | ✗ | PetscCall(PetscInfo(eps,"The preconditioner is not positive-definite\n")); | |
| 309 | ✗ | eps->reason = EPS_DIVERGED_BREAKDOWN; | |
| 310 | ✗ | goto diverged; | |
| 311 | } | ||
| 312 | } | ||
| 313 | } | ||
| 314 |
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|
12098 | if (nc+locked>0) { |
| 315 |
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|
11043 | for (j=ini;j<ctx->bs;j++) { |
| 316 |
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|
8498 | PetscCall(MatDenseGetColumnVecWrite(W,j-ini,&w)); |
| 317 |
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|
8498 | PetscCall(BVOrthogonalizeVec(Y,w,NULL,&norm,&breakdown)); |
| 318 |
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|
8498 | if (norm>0.0 && !breakdown) PetscCall(VecScale(w,1.0/norm)); |
| 319 |
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|
8498 | PetscCall(MatDenseRestoreColumnVecWrite(W,j-ini,&w)); |
| 320 |
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|
8498 | if (norm<=0.0 || breakdown) { |
| 321 | ✗ | PetscCall(PetscInfo(eps,"Orthogonalization of preconditioned residual failed\n")); | |
| 322 | ✗ | eps->reason = EPS_DIVERGED_BREAKDOWN; | |
| 323 | ✗ | goto diverged; | |
| 324 | } | ||
| 325 | } | ||
| 326 | } | ||
| 327 |
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|
12098 | PetscCall(MatCopy(W,V,SAME_NONZERO_PATTERN)); |
| 328 |
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|
12098 | PetscCall(BVRestoreMat(R,&V)); |
| 329 | |||
| 330 | /* 11. B-orthonormalize preconditioned residuals */ | ||
| 331 |
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|
12098 | PetscCall(BVOrthogonalize(R,NULL)); |
| 332 | |||
| 333 | /* 13-16. B-orthonormalize conjugate directions */ | ||
| 334 |
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|
12098 | if (its>1) PetscCall(BVOrthogonalize(P,NULL)); |
| 335 | |||
| 336 | /* 17-23. Compute symmetric Gram matrices */ | ||
| 337 |
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|
12098 | PetscCall(BVSetActiveColumns(Z,0,ctx->bs)); |
| 338 |
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|
12098 | PetscCall(BVSetActiveColumns(X,0,ctx->bs)); |
| 339 |
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|
12098 | PetscCall(BVCopy(X,Z)); |
| 340 |
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|
12098 | PetscCall(BVSetActiveColumns(Z,ctx->bs,2*ctx->bs-ini)); |
| 341 |
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|
12098 | PetscCall(BVCopy(R,Z)); |
| 342 |
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|
12098 | if (its>1) { |
| 343 |
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|
11828 | PetscCall(BVSetActiveColumns(Z,2*ctx->bs-ini,3*ctx->bs-2*ini)); |
| 344 |
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|
11828 | PetscCall(BVCopy(P,Z)); |
| 345 | } | ||
| 346 | |||
| 347 |
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|
11862 | if (its>1) nv = 3*ctx->bs-2*ini; |
| 348 | 270 | else nv = 2*ctx->bs-ini; | |
| 349 | |||
| 350 |
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|
12098 | PetscCall(BVSetActiveColumns(Z,0,nv)); |
| 351 |
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|
12098 | PetscCall(DSSetDimensions(eps->ds,nv,0,0)); |
| 352 |
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|
12098 | PetscCall(DSGetMat(eps->ds,DS_MAT_A,&M)); |
| 353 |
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|
12098 | PetscCall(BVMatProject(Z,A,Z,M)); |
| 354 |
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|
12098 | if (flip) PetscCall(MatScale(M,-1.0)); |
| 355 |
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|
12098 | PetscCall(DSRestoreMat(eps->ds,DS_MAT_A,&M)); |
| 356 |
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|
12098 | PetscCall(DSGetMat(eps->ds,DS_MAT_B,&M)); |
| 357 |
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|
12098 | PetscCall(BVMatProject(Z,B,Z,M)); /* covers also the case B=NULL */ |
| 358 |
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|
12098 | PetscCall(DSRestoreMat(eps->ds,DS_MAT_B,&M)); |
| 359 | |||
| 360 | /* 24. Solve the generalized eigenvalue problem */ | ||
| 361 |
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|
12098 | PetscCall(DSSetState(eps->ds,DS_STATE_RAW)); |
| 362 |
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|
12098 | PetscCall(DSSolve(eps->ds,eigr,NULL)); |
| 363 |
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|
12098 | PetscCall(DSSort(eps->ds,eigr,NULL,NULL,NULL,NULL)); |
| 364 |
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|
12098 | PetscCall(DSSynchronize(eps->ds,eigr,NULL)); |
| 365 |
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|
124169 | for (j=0;j<nv;j++) if (locked+j<eps->ncv) eps->eigr[locked+j] = flip? -eigr[j]: eigr[j]; |
| 366 |
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|
12098 | PetscCall(DSVectors(eps->ds,DS_MAT_X,NULL,NULL)); |
| 367 | |||
| 368 | /* 25-33. Compute Ritz vectors */ | ||
| 369 |
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|
12098 | PetscCall(DSGetMat(eps->ds,DS_MAT_X,&M)); |
| 370 |
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|
12098 | PetscCall(BVSetActiveColumns(Z,ctx->bs,nv)); |
| 371 |
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|
12098 | if (ctx->lock) PetscCall(BVSetActiveColumns(P,0,ctx->bs)); |
| 372 |
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|
12098 | PetscCall(BVMult(P,1.0,0.0,Z,M)); |
| 373 |
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|
12098 | PetscCall(BVCopy(P,X)); |
| 374 |
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|
12098 | if (ctx->lock) PetscCall(BVSetActiveColumns(P,nconv,ctx->bs)); |
| 375 |
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12098 | PetscCall(BVSetActiveColumns(Z,0,ctx->bs)); |
| 376 |
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|
12098 | PetscCall(BVMult(X,1.0,1.0,Z,M)); |
| 377 |
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|
12098 | if (ctx->lock) PetscCall(BVSetActiveColumns(X,nconv,ctx->bs)); |
| 378 |
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|
12098 | PetscCall(BVMatMult(X,A,AX)); |
| 379 |
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|
24474 | PetscCall(DSRestoreMat(eps->ds,DS_MAT_X,&M)); |
| 380 | } | ||
| 381 | |||
| 382 | 226 | diverged: | |
| 383 | 226 | eps->its += its; | |
| 384 | |||
| 385 |
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226 | if (flip) sc->comparison = SlepcCompareLargestReal; |
| 386 |
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|
226 | PetscCall(PetscFree(eigr)); |
| 387 |
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|
226 | PetscCall(MatDestroy(&W)); |
| 388 |
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|
226 | if (V) PetscCall(BVRestoreMat(R,&V)); /* only needed when goto diverged is reached */ |
| 389 |
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226 | PetscCall(BVDestroy(&Z)); |
| 390 |
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226 | PetscCall(BVDestroy(&X)); |
| 391 |
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226 | PetscCall(BVDestroy(&R)); |
| 392 |
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226 | PetscCall(BVDestroy(&P)); |
| 393 |
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226 | PetscCall(BVDestroy(&AX)); |
| 394 |
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|
226 | if (B) PetscCall(BVDestroy(&BX)); |
| 395 |
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226 | if (nc>0 || eps->nev>ctx->bs-ctx->guard) PetscCall(BVDestroy(&Y)); |
| 396 |
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|
58 | PetscFunctionReturn(PETSC_SUCCESS); |
| 397 | } | ||
| 398 | |||
| 399 | 62 | static PetscErrorCode EPSLOBPCGSetBlockSize_LOBPCG(EPS eps,PetscInt bs) | |
| 400 | { | ||
| 401 | 62 | EPS_LOBPCG *ctx = (EPS_LOBPCG*)eps->data; | |
| 402 | |||
| 403 |
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62 | PetscFunctionBegin; |
| 404 |
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62 | if (bs == PETSC_DEFAULT || bs == PETSC_DECIDE) bs = 0; |
| 405 |
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62 | else PetscCheck(bs>0,PetscObjectComm((PetscObject)eps),PETSC_ERR_ARG_OUTOFRANGE,"Invalid block size %" PetscInt_FMT,bs); |
| 406 |
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|
62 | if (ctx->bs != bs) { |
| 407 | 62 | ctx->bs = bs; | |
| 408 | 62 | eps->state = EPS_STATE_INITIAL; | |
| 409 | } | ||
| 410 |
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|
16 | PetscFunctionReturn(PETSC_SUCCESS); |
| 411 | } | ||
| 412 | |||
| 413 | /*@ | ||
| 414 | EPSLOBPCGSetBlockSize - Sets the block size of the LOBPCG method. | ||
| 415 | |||
| 416 | Logically Collective | ||
| 417 | |||
| 418 | Input Parameters: | ||
| 419 | + eps - the linear eigensolver context | ||
| 420 | - bs - the block size | ||
| 421 | |||
| 422 | Options Database Key: | ||
| 423 | . -eps_lobpcg_blocksize \<bs\> - sets the block size | ||
| 424 | |||
| 425 | Level: advanced | ||
| 426 | |||
| 427 | .seealso: [](ch:eps), `EPSLOBPCG`, `EPSLOBPCGGetBlockSize()` | ||
| 428 | @*/ | ||
| 429 | 62 | PetscErrorCode EPSLOBPCGSetBlockSize(EPS eps,PetscInt bs) | |
| 430 | { | ||
| 431 |
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62 | PetscFunctionBegin; |
| 432 |
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62 | PetscValidHeaderSpecific(eps,EPS_CLASSID,1); |
| 433 |
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62 | PetscValidLogicalCollectiveInt(eps,bs,2); |
| 434 |
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62 | PetscTryMethod(eps,"EPSLOBPCGSetBlockSize_C",(EPS,PetscInt),(eps,bs)); |
| 435 |
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62 | PetscFunctionReturn(PETSC_SUCCESS); |
| 436 | } | ||
| 437 | |||
| 438 | 10 | static PetscErrorCode EPSLOBPCGGetBlockSize_LOBPCG(EPS eps,PetscInt *bs) | |
| 439 | { | ||
| 440 | 10 | EPS_LOBPCG *ctx = (EPS_LOBPCG*)eps->data; | |
| 441 | |||
| 442 |
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10 | PetscFunctionBegin; |
| 443 | 10 | *bs = ctx->bs; | |
| 444 |
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10 | PetscFunctionReturn(PETSC_SUCCESS); |
| 445 | } | ||
| 446 | |||
| 447 | /*@ | ||
| 448 | EPSLOBPCGGetBlockSize - Gets the block size used in the LOBPCG method. | ||
| 449 | |||
| 450 | Not Collective | ||
| 451 | |||
| 452 | Input Parameter: | ||
| 453 | . eps - the linear eigensolver context | ||
| 454 | |||
| 455 | Output Parameter: | ||
| 456 | . bs - the block size | ||
| 457 | |||
| 458 | Level: advanced | ||
| 459 | |||
| 460 | .seealso: [](ch:eps), `EPSLOBPCG`, `EPSLOBPCGSetBlockSize()` | ||
| 461 | @*/ | ||
| 462 | 10 | PetscErrorCode EPSLOBPCGGetBlockSize(EPS eps,PetscInt *bs) | |
| 463 | { | ||
| 464 |
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10 | PetscFunctionBegin; |
| 465 |
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10 | PetscValidHeaderSpecific(eps,EPS_CLASSID,1); |
| 466 |
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10 | PetscAssertPointer(bs,2); |
| 467 |
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10 | PetscUseMethod(eps,"EPSLOBPCGGetBlockSize_C",(EPS,PetscInt*),(eps,bs)); |
| 468 |
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10 | PetscFunctionReturn(PETSC_SUCCESS); |
| 469 | } | ||
| 470 | |||
| 471 | 10 | static PetscErrorCode EPSLOBPCGSetRestart_LOBPCG(EPS eps,PetscReal restart) | |
| 472 | { | ||
| 473 | 10 | EPS_LOBPCG *ctx = (EPS_LOBPCG*)eps->data; | |
| 474 | |||
| 475 |
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10 | PetscFunctionBegin; |
| 476 |
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10 | if (restart==(PetscReal)PETSC_DEFAULT || restart==(PetscReal)PETSC_DECIDE) restart = 0.9; |
| 477 |
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10 | PetscCheck(restart>=0.1 && restart<=1.0,PetscObjectComm((PetscObject)eps),PETSC_ERR_ARG_OUTOFRANGE,"The restart argument %g must be in the range [0.1,1.0]",(double)restart); |
| 478 |
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10 | if (restart != ctx->restart) { |
| 479 | 10 | ctx->restart = restart; | |
| 480 | 10 | eps->state = EPS_STATE_INITIAL; | |
| 481 | } | ||
| 482 |
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2 | PetscFunctionReturn(PETSC_SUCCESS); |
| 483 | } | ||
| 484 | |||
| 485 | /*@ | ||
| 486 | EPSLOBPCGSetRestart - Sets the restart parameter for the LOBPCG method. | ||
| 487 | |||
| 488 | Logically Collective | ||
| 489 | |||
| 490 | Input Parameters: | ||
| 491 | + eps - the linear eigensolver context | ||
| 492 | - restart - the percentage of the block of vectors to force a restart | ||
| 493 | |||
| 494 | Options Database Key: | ||
| 495 | . -eps_lobpcg_restart \<restart\> - sets the restart parameter | ||
| 496 | |||
| 497 | Notes: | ||
| 498 | The meaning of this parameter is the proportion of vectors within the | ||
| 499 | current block iterate that must have converged in order to force a | ||
| 500 | restart with hard locking. | ||
| 501 | Allowed values are in the range [0.1,1.0]. The default is 0.9. | ||
| 502 | |||
| 503 | Level: advanced | ||
| 504 | |||
| 505 | .seealso: [](ch:eps), `EPSLOBPCG`, `EPSLOBPCGGetRestart()` | ||
| 506 | @*/ | ||
| 507 | 10 | PetscErrorCode EPSLOBPCGSetRestart(EPS eps,PetscReal restart) | |
| 508 | { | ||
| 509 |
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10 | PetscFunctionBegin; |
| 510 |
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10 | PetscValidHeaderSpecific(eps,EPS_CLASSID,1); |
| 511 |
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10 | PetscValidLogicalCollectiveReal(eps,restart,2); |
| 512 |
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10 | PetscTryMethod(eps,"EPSLOBPCGSetRestart_C",(EPS,PetscReal),(eps,restart)); |
| 513 |
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10 | PetscFunctionReturn(PETSC_SUCCESS); |
| 514 | } | ||
| 515 | |||
| 516 | 10 | static PetscErrorCode EPSLOBPCGGetRestart_LOBPCG(EPS eps,PetscReal *restart) | |
| 517 | { | ||
| 518 | 10 | EPS_LOBPCG *ctx = (EPS_LOBPCG*)eps->data; | |
| 519 | |||
| 520 |
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10 | PetscFunctionBegin; |
| 521 | 10 | *restart = ctx->restart; | |
| 522 |
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10 | PetscFunctionReturn(PETSC_SUCCESS); |
| 523 | } | ||
| 524 | |||
| 525 | /*@ | ||
| 526 | EPSLOBPCGGetRestart - Gets the restart parameter used in the LOBPCG method. | ||
| 527 | |||
| 528 | Not Collective | ||
| 529 | |||
| 530 | Input Parameter: | ||
| 531 | . eps - the linear eigensolver context | ||
| 532 | |||
| 533 | Output Parameter: | ||
| 534 | . restart - the restart parameter | ||
| 535 | |||
| 536 | Level: advanced | ||
| 537 | |||
| 538 | .seealso: [](ch:eps), `EPSLOBPCG`, `EPSLOBPCGSetRestart()` | ||
| 539 | @*/ | ||
| 540 | 10 | PetscErrorCode EPSLOBPCGGetRestart(EPS eps,PetscReal *restart) | |
| 541 | { | ||
| 542 |
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10 | PetscFunctionBegin; |
| 543 |
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10 | PetscValidHeaderSpecific(eps,EPS_CLASSID,1); |
| 544 |
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10 | PetscAssertPointer(restart,2); |
| 545 |
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10 | PetscUseMethod(eps,"EPSLOBPCGGetRestart_C",(EPS,PetscReal*),(eps,restart)); |
| 546 |
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10 | PetscFunctionReturn(PETSC_SUCCESS); |
| 547 | } | ||
| 548 | |||
| 549 | 8 | static PetscErrorCode EPSLOBPCGSetLocking_LOBPCG(EPS eps,PetscBool lock) | |
| 550 | { | ||
| 551 | 8 | EPS_LOBPCG *ctx = (EPS_LOBPCG*)eps->data; | |
| 552 | |||
| 553 |
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8 | PetscFunctionBegin; |
| 554 | 8 | ctx->lock = lock; | |
| 555 |
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8 | PetscFunctionReturn(PETSC_SUCCESS); |
| 556 | } | ||
| 557 | |||
| 558 | /*@ | ||
| 559 | EPSLOBPCGSetLocking - Choose between locking and non-locking variants of | ||
| 560 | the LOBPCG method. | ||
| 561 | |||
| 562 | Logically Collective | ||
| 563 | |||
| 564 | Input Parameters: | ||
| 565 | + eps - the linear eigensolver context | ||
| 566 | - lock - true if the locking variant must be selected | ||
| 567 | |||
| 568 | Options Database Key: | ||
| 569 | . -eps_lobpcg_locking - sets the locking flag | ||
| 570 | |||
| 571 | Notes: | ||
| 572 | This flag refers to soft locking (converged vectors within the current | ||
| 573 | block iterate), since hard locking is always used (when `nev` is larger | ||
| 574 | than the block size). | ||
| 575 | |||
| 576 | Level: advanced | ||
| 577 | |||
| 578 | .seealso: [](ch:eps), `EPSLOBPCG`, `EPSLOBPCGGetLocking()` | ||
| 579 | @*/ | ||
| 580 | 8 | PetscErrorCode EPSLOBPCGSetLocking(EPS eps,PetscBool lock) | |
| 581 | { | ||
| 582 |
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8 | PetscFunctionBegin; |
| 583 |
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8 | PetscValidHeaderSpecific(eps,EPS_CLASSID,1); |
| 584 |
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8 | PetscValidLogicalCollectiveBool(eps,lock,2); |
| 585 |
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8 | PetscTryMethod(eps,"EPSLOBPCGSetLocking_C",(EPS,PetscBool),(eps,lock)); |
| 586 |
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8 | PetscFunctionReturn(PETSC_SUCCESS); |
| 587 | } | ||
| 588 | |||
| 589 | 10 | static PetscErrorCode EPSLOBPCGGetLocking_LOBPCG(EPS eps,PetscBool *lock) | |
| 590 | { | ||
| 591 | 10 | EPS_LOBPCG *ctx = (EPS_LOBPCG*)eps->data; | |
| 592 | |||
| 593 |
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10 | PetscFunctionBegin; |
| 594 | 10 | *lock = ctx->lock; | |
| 595 |
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10 | PetscFunctionReturn(PETSC_SUCCESS); |
| 596 | } | ||
| 597 | |||
| 598 | /*@ | ||
| 599 | EPSLOBPCGGetLocking - Gets the locking flag used in the LOBPCG method. | ||
| 600 | |||
| 601 | Not Collective | ||
| 602 | |||
| 603 | Input Parameter: | ||
| 604 | . eps - the linear eigensolver context | ||
| 605 | |||
| 606 | Output Parameter: | ||
| 607 | . lock - the locking flag | ||
| 608 | |||
| 609 | Level: advanced | ||
| 610 | |||
| 611 | .seealso: [](ch:eps), `EPSLOBPCG`, `EPSLOBPCGSetLocking()` | ||
| 612 | @*/ | ||
| 613 | 10 | PetscErrorCode EPSLOBPCGGetLocking(EPS eps,PetscBool *lock) | |
| 614 | { | ||
| 615 |
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10 | PetscFunctionBegin; |
| 616 |
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10 | PetscValidHeaderSpecific(eps,EPS_CLASSID,1); |
| 617 |
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10 | PetscAssertPointer(lock,2); |
| 618 |
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10 | PetscUseMethod(eps,"EPSLOBPCGGetLocking_C",(EPS,PetscBool*),(eps,lock)); |
| 619 |
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10 | PetscFunctionReturn(PETSC_SUCCESS); |
| 620 | } | ||
| 621 | |||
| 622 | ✗ | static PetscErrorCode EPSView_LOBPCG(EPS eps,PetscViewer viewer) | |
| 623 | { | ||
| 624 | ✗ | EPS_LOBPCG *ctx = (EPS_LOBPCG*)eps->data; | |
| 625 | ✗ | PetscBool isascii; | |
| 626 | |||
| 627 | ✗ | PetscFunctionBegin; | |
| 628 | ✗ | PetscCall(PetscObjectTypeCompare((PetscObject)viewer,PETSCVIEWERASCII,&isascii)); | |
| 629 | ✗ | if (isascii) { | |
| 630 | ✗ | PetscCall(PetscViewerASCIIPrintf(viewer," block size %" PetscInt_FMT "\n",ctx->bs)); | |
| 631 | ✗ | PetscCall(PetscViewerASCIIPrintf(viewer," restart parameter=%g (using %" PetscInt_FMT " guard vectors)\n",(double)ctx->restart,ctx->guard)); | |
| 632 | ✗ | PetscCall(PetscViewerASCIIPrintf(viewer," soft locking %sactivated\n",ctx->lock?"":"de")); | |
| 633 | } | ||
| 634 | ✗ | PetscFunctionReturn(PETSC_SUCCESS); | |
| 635 | } | ||
| 636 | |||
| 637 | 178 | static PetscErrorCode EPSSetFromOptions_LOBPCG(EPS eps,PetscOptionItems PetscOptionsObject) | |
| 638 | { | ||
| 639 | 178 | PetscBool lock,flg; | |
| 640 | 178 | PetscInt bs; | |
| 641 | 178 | PetscReal restart; | |
| 642 | |||
| 643 |
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178 | PetscFunctionBegin; |
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178 | PetscOptionsHeadBegin(PetscOptionsObject,"EPS LOBPCG Options"); |
| 645 | |||
| 646 |
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178 | PetscCall(PetscOptionsInt("-eps_lobpcg_blocksize","Block size","EPSLOBPCGSetBlockSize",20,&bs,&flg)); |
| 647 |
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178 | if (flg) PetscCall(EPSLOBPCGSetBlockSize(eps,bs)); |
| 648 | |||
| 649 |
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178 | PetscCall(PetscOptionsReal("-eps_lobpcg_restart","Percentage of the block of vectors to force a restart","EPSLOBPCGSetRestart",0.5,&restart,&flg)); |
| 650 |
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178 | if (flg) PetscCall(EPSLOBPCGSetRestart(eps,restart)); |
| 651 | |||
| 652 |
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178 | PetscCall(PetscOptionsBool("-eps_lobpcg_locking","Choose between locking and non-locking variants","EPSLOBPCGSetLocking",PETSC_TRUE,&lock,&flg)); |
| 653 |
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178 | if (flg) PetscCall(EPSLOBPCGSetLocking(eps,lock)); |
| 654 | |||
| 655 |
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178 | PetscOptionsHeadEnd(); |
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46 | PetscFunctionReturn(PETSC_SUCCESS); |
| 657 | } | ||
| 658 | |||
| 659 | 178 | static PetscErrorCode EPSDestroy_LOBPCG(EPS eps) | |
| 660 | { | ||
| 661 |
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178 | PetscFunctionBegin; |
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178 | PetscCall(PetscFree(eps->data)); |
| 663 |
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178 | PetscCall(PetscObjectComposeFunction((PetscObject)eps,"EPSLOBPCGSetBlockSize_C",NULL)); |
| 664 |
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178 | PetscCall(PetscObjectComposeFunction((PetscObject)eps,"EPSLOBPCGGetBlockSize_C",NULL)); |
| 665 |
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178 | PetscCall(PetscObjectComposeFunction((PetscObject)eps,"EPSLOBPCGSetRestart_C",NULL)); |
| 666 |
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178 | PetscCall(PetscObjectComposeFunction((PetscObject)eps,"EPSLOBPCGGetRestart_C",NULL)); |
| 667 |
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178 | PetscCall(PetscObjectComposeFunction((PetscObject)eps,"EPSLOBPCGSetLocking_C",NULL)); |
| 668 |
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178 | PetscCall(PetscObjectComposeFunction((PetscObject)eps,"EPSLOBPCGGetLocking_C",NULL)); |
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46 | PetscFunctionReturn(PETSC_SUCCESS); |
| 670 | } | ||
| 671 | |||
| 672 | /*MC | ||
| 673 | EPSLOBPCG - EPSLOBPCG = "lobpcg" - The Locally Optimal Block Preconditioned | ||
| 674 | Conjugate Gradient method. | ||
| 675 | |||
| 676 | Notes: | ||
| 677 | This is a preconditioned eigensolver, that is, a preconditioner can | ||
| 678 | be used to accelerate convergence, but as opposed to Davidson methods | ||
| 679 | it is intended for computing leftmost eigenvalues of Hermitian | ||
| 680 | problems, and not interior eigenvalues. | ||
| 681 | |||
| 682 | The implemented method is LOBPCG {cite:p}`Kny01`. Note that SLEPc | ||
| 683 | provides another implementation of LOBPCG via BLOPEX, see `EPSBLOPEX`. | ||
| 684 | |||
| 685 | The preconditioner is specified via the internal `ST` object and its | ||
| 686 | associated `KSP`. | ||
| 687 | |||
| 688 | Level: beginner | ||
| 689 | |||
| 690 | .seealso: [](ch:eps), `EPS`, `EPSType`, `EPSSetType()`, `EPSGetST()`, `EPSBLOPEX` | ||
| 691 | M*/ | ||
| 692 | 178 | SLEPC_EXTERN PetscErrorCode EPSCreate_LOBPCG(EPS eps) | |
| 693 | { | ||
| 694 | 178 | EPS_LOBPCG *lobpcg; | |
| 695 | |||
| 696 |
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178 | PetscFunctionBegin; |
| 697 |
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178 | PetscCall(PetscNew(&lobpcg)); |
| 698 | 178 | eps->data = (void*)lobpcg; | |
| 699 | 178 | lobpcg->lock = PETSC_TRUE; | |
| 700 | |||
| 701 | 178 | eps->useds = PETSC_TRUE; | |
| 702 | 178 | eps->categ = EPS_CATEGORY_PRECOND; | |
| 703 | |||
| 704 | 178 | eps->ops->solve = EPSSolve_LOBPCG; | |
| 705 | 178 | eps->ops->setup = EPSSetUp_LOBPCG; | |
| 706 | 178 | eps->ops->setupsort = EPSSetUpSort_Default; | |
| 707 | 178 | eps->ops->setfromoptions = EPSSetFromOptions_LOBPCG; | |
| 708 | 178 | eps->ops->destroy = EPSDestroy_LOBPCG; | |
| 709 | 178 | eps->ops->view = EPSView_LOBPCG; | |
| 710 | 178 | eps->ops->backtransform = EPSBackTransform_Default; | |
| 711 | 178 | eps->ops->setdefaultst = EPSSetDefaultST_GMRES; | |
| 712 | |||
| 713 |
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178 | PetscCall(PetscObjectComposeFunction((PetscObject)eps,"EPSLOBPCGSetBlockSize_C",EPSLOBPCGSetBlockSize_LOBPCG)); |
| 714 |
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178 | PetscCall(PetscObjectComposeFunction((PetscObject)eps,"EPSLOBPCGGetBlockSize_C",EPSLOBPCGGetBlockSize_LOBPCG)); |
| 715 |
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178 | PetscCall(PetscObjectComposeFunction((PetscObject)eps,"EPSLOBPCGSetRestart_C",EPSLOBPCGSetRestart_LOBPCG)); |
| 716 |
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178 | PetscCall(PetscObjectComposeFunction((PetscObject)eps,"EPSLOBPCGGetRestart_C",EPSLOBPCGGetRestart_LOBPCG)); |
| 717 |
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178 | PetscCall(PetscObjectComposeFunction((PetscObject)eps,"EPSLOBPCGSetLocking_C",EPSLOBPCGSetLocking_LOBPCG)); |
| 718 |
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178 | PetscCall(PetscObjectComposeFunction((PetscObject)eps,"EPSLOBPCGGetLocking_C",EPSLOBPCGGetLocking_LOBPCG)); |
| 719 |
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46 | PetscFunctionReturn(PETSC_SUCCESS); |
| 720 | } | ||
| 721 |