| 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 | ST interface routines, callable by users | ||
| 12 | */ | ||
| 13 | |||
| 14 | #include <slepc/private/stimpl.h> /*I "slepcst.h" I*/ | ||
| 15 | |||
| 16 | 1138061 | PetscErrorCode STApply_Generic(ST st,Vec x,Vec y) | |
| 17 | { | ||
| 18 |
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1138061 | PetscFunctionBegin; |
| 19 |
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1138061 | if (st->M && st->P) { |
| 20 |
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259046 | PetscCall(MatMult(st->M,x,st->work[0])); |
| 21 |
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259046 | PetscCall(STMatSolve(st,st->work[0],y)); |
| 22 |
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879015 | } else if (st->M) PetscCall(MatMult(st->M,x,y)); |
| 23 |
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182191 | else PetscCall(STMatSolve(st,x,y)); |
| 24 |
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226354 | PetscFunctionReturn(PETSC_SUCCESS); |
| 25 | } | ||
| 26 | |||
| 27 | /*@ | ||
| 28 | STApply - Applies the spectral transformation operator to a vector, for | ||
| 29 | instance $y=(A - \sigma B)^{-1} Bx$ in the case of the shift-and-invert transformation | ||
| 30 | and generalized eigenproblem. | ||
| 31 | |||
| 32 | Collective | ||
| 33 | |||
| 34 | Input Parameters: | ||
| 35 | + st - the spectral transformation context | ||
| 36 | - x - input vector | ||
| 37 | |||
| 38 | Output Parameter: | ||
| 39 | . y - output vector | ||
| 40 | |||
| 41 | Level: developer | ||
| 42 | |||
| 43 | .seealso: [](ch:st), `STApplyTranspose()`, `STApplyHermitianTranspose()`, `STApplyMat()` | ||
| 44 | @*/ | ||
| 45 | 592181 | PetscErrorCode STApply(ST st,Vec x,Vec y) | |
| 46 | { | ||
| 47 | 592181 | Mat Op; | |
| 48 | |||
| 49 |
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592181 | PetscFunctionBegin; |
| 50 |
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592181 | PetscValidHeaderSpecific(st,ST_CLASSID,1); |
| 51 |
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592181 | PetscValidHeaderSpecific(x,VEC_CLASSID,2); |
| 52 |
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592181 | PetscValidHeaderSpecific(y,VEC_CLASSID,3); |
| 53 |
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592181 | PetscValidType(st,1); |
| 54 |
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592181 | STCheckMatrices(st,1); |
| 55 |
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592181 | PetscCheck(x!=y,PetscObjectComm((PetscObject)st),PETSC_ERR_ARG_IDN,"x and y must be different vectors"); |
| 56 |
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592181 | PetscCall(VecSetErrorIfLocked(y,3)); |
| 57 |
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592181 | PetscCall(STGetOperator_Private(st,&Op)); |
| 58 |
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592181 | PetscCall(MatMult(Op,x,y)); |
| 59 |
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118786 | PetscFunctionReturn(PETSC_SUCCESS); |
| 60 | } | ||
| 61 | |||
| 62 | 51980 | PetscErrorCode STApplyMat_Generic(ST st,Mat B,Mat C) | |
| 63 | { | ||
| 64 | 51980 | Mat work; | |
| 65 | |||
| 66 |
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51980 | PetscFunctionBegin; |
| 67 |
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51980 | if (st->M && st->P) { |
| 68 |
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20422 | PetscCall(MatMatMult(st->M,B,MAT_INITIAL_MATRIX,PETSC_DEFAULT,&work)); |
| 69 |
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20422 | PetscCall(STMatMatSolve(st,work,C)); |
| 70 |
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20422 | PetscCall(MatDestroy(&work)); |
| 71 |
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31558 | } else if (st->M) PetscCall(MatMatMult(st->M,B,MAT_REUSE_MATRIX,PETSC_DEFAULT,&C)); |
| 72 |
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16018 | else PetscCall(STMatMatSolve(st,B,C)); |
| 73 |
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10169 | PetscFunctionReturn(PETSC_SUCCESS); |
| 74 | } | ||
| 75 | |||
| 76 | /*@ | ||
| 77 | STApplyMat - Applies the spectral transformation operator to a matrix, for | ||
| 78 | instance $Y = (A - \sigma B)^{-1} B X$ in the case of the shift-and-invert | ||
| 79 | transformation and generalized eigenproblem. | ||
| 80 | |||
| 81 | Collective | ||
| 82 | |||
| 83 | Input Parameters: | ||
| 84 | + st - the spectral transformation context | ||
| 85 | - X - input matrix | ||
| 86 | |||
| 87 | Output Parameter: | ||
| 88 | . Y - output matrix | ||
| 89 | |||
| 90 | Level: developer | ||
| 91 | |||
| 92 | .seealso: [](ch:st), `STApply()` | ||
| 93 | @*/ | ||
| 94 | 15152 | PetscErrorCode STApplyMat(ST st,Mat X,Mat Y) | |
| 95 | { | ||
| 96 |
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15152 | PetscFunctionBegin; |
| 97 |
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15152 | PetscValidHeaderSpecific(st,ST_CLASSID,1); |
| 98 |
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15152 | PetscValidHeaderSpecific(X,MAT_CLASSID,2); |
| 99 |
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15152 | PetscValidHeaderSpecific(Y,MAT_CLASSID,3); |
| 100 |
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15152 | PetscValidType(st,1); |
| 101 |
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15152 | STCheckMatrices(st,1); |
| 102 |
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15152 | PetscCheck(X!=Y,PetscObjectComm((PetscObject)st),PETSC_ERR_ARG_IDN,"X and Y must be different matrices"); |
| 103 |
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15152 | PetscUseTypeMethod(st,applymat,X,Y); |
| 104 |
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3007 | PetscFunctionReturn(PETSC_SUCCESS); |
| 105 | } | ||
| 106 | |||
| 107 | 8190 | PetscErrorCode STApplyTranspose_Generic(ST st,Vec x,Vec y) | |
| 108 | { | ||
| 109 |
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8190 | PetscFunctionBegin; |
| 110 |
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8190 | if (st->M && st->P) { |
| 111 |
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1785 | PetscCall(STMatSolveTranspose(st,x,st->work[0])); |
| 112 |
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1785 | PetscCall(MatMultTranspose(st->M,st->work[0],y)); |
| 113 |
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6405 | } else if (st->M) PetscCall(MatMultTranspose(st->M,x,y)); |
| 114 |
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2562 | else PetscCall(STMatSolveTranspose(st,x,y)); |
| 115 |
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1570 | PetscFunctionReturn(PETSC_SUCCESS); |
| 116 | } | ||
| 117 | |||
| 118 | /*@ | ||
| 119 | STApplyTranspose - Applies the transpose of the operator to a vector, for | ||
| 120 | instance $y = B^T(A - \sigma B)^{-T} x$ in the case of the shift-and-invert | ||
| 121 | transformation and generalized eigenproblem. | ||
| 122 | |||
| 123 | Collective | ||
| 124 | |||
| 125 | Input Parameters: | ||
| 126 | + st - the spectral transformation context | ||
| 127 | - x - input vector | ||
| 128 | |||
| 129 | Output Parameter: | ||
| 130 | . y - output vector | ||
| 131 | |||
| 132 | Level: developer | ||
| 133 | |||
| 134 | .seealso: [](ch:st), `STApply()`, `STApplyHermitianTranspose()` | ||
| 135 | @*/ | ||
| 136 | 90 | PetscErrorCode STApplyTranspose(ST st,Vec x,Vec y) | |
| 137 | { | ||
| 138 | 90 | Mat Op; | |
| 139 | |||
| 140 |
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90 | PetscFunctionBegin; |
| 141 |
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90 | PetscValidHeaderSpecific(st,ST_CLASSID,1); |
| 142 |
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90 | PetscValidHeaderSpecific(x,VEC_CLASSID,2); |
| 143 |
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90 | PetscValidHeaderSpecific(y,VEC_CLASSID,3); |
| 144 |
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90 | PetscValidType(st,1); |
| 145 |
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90 | STCheckMatrices(st,1); |
| 146 |
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90 | PetscCheck(x!=y,PetscObjectComm((PetscObject)st),PETSC_ERR_ARG_IDN,"x and y must be different vectors"); |
| 147 |
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90 | PetscCall(VecSetErrorIfLocked(y,3)); |
| 148 |
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90 | PetscCall(STGetOperator_Private(st,&Op)); |
| 149 |
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90 | PetscCall(MatMultTranspose(Op,x,y)); |
| 150 |
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18 | PetscFunctionReturn(PETSC_SUCCESS); |
| 151 | } | ||
| 152 | |||
| 153 | 7068 | PetscErrorCode STApplyHermitianTranspose_Generic(ST st,Vec x,Vec y) | |
| 154 | { | ||
| 155 |
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7068 | PetscFunctionBegin; |
| 156 |
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7068 | if (st->M && st->P) { |
| 157 |
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870 | PetscCall(STMatSolveHermitianTranspose(st,x,st->work[0])); |
| 158 |
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870 | PetscCall(MatMultHermitianTranspose(st->M,st->work[0],y)); |
| 159 |
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6198 | } else if (st->M) PetscCall(MatMultHermitianTranspose(st->M,x,y)); |
| 160 |
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2548 | else PetscCall(STMatSolveHermitianTranspose(st,x,y)); |
| 161 |
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1514 | PetscFunctionReturn(PETSC_SUCCESS); |
| 162 | } | ||
| 163 | |||
| 164 | /*@ | ||
| 165 | STApplyHermitianTranspose - Applies the Hermitian-transpose of the operator | ||
| 166 | to a vector, for instance $y=B^*(A - \sigma B)^{-*}x$ in the case of the shift-and-invert | ||
| 167 | transformation and generalized eigenproblem. | ||
| 168 | |||
| 169 | Collective | ||
| 170 | |||
| 171 | Input Parameters: | ||
| 172 | + st - the spectral transformation context | ||
| 173 | - x - input vector | ||
| 174 | |||
| 175 | Output Parameter: | ||
| 176 | . y - output vector | ||
| 177 | |||
| 178 | Note: | ||
| 179 | Currently implemented via `STApplyTranspose()` with appropriate conjugation. | ||
| 180 | |||
| 181 | Level: developer | ||
| 182 | |||
| 183 | .seealso: [](ch:st), `STApply()`, `STApplyTranspose()` | ||
| 184 | @*/ | ||
| 185 | 4623 | PetscErrorCode STApplyHermitianTranspose(ST st,Vec x,Vec y) | |
| 186 | { | ||
| 187 | 4623 | Mat Op; | |
| 188 | |||
| 189 |
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4623 | PetscFunctionBegin; |
| 190 |
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4623 | PetscValidHeaderSpecific(st,ST_CLASSID,1); |
| 191 |
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4623 | PetscValidHeaderSpecific(x,VEC_CLASSID,2); |
| 192 |
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4623 | PetscValidHeaderSpecific(y,VEC_CLASSID,3); |
| 193 |
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4623 | PetscValidType(st,1); |
| 194 |
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4623 | STCheckMatrices(st,1); |
| 195 |
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4623 | PetscCheck(x!=y,PetscObjectComm((PetscObject)st),PETSC_ERR_ARG_IDN,"x and y must be different vectors"); |
| 196 |
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4623 | PetscCall(VecSetErrorIfLocked(y,3)); |
| 197 |
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4623 | PetscCall(STGetOperator_Private(st,&Op)); |
| 198 |
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4623 | PetscCall(MatMultHermitianTranspose(Op,x,y)); |
| 199 |
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911 | PetscFunctionReturn(PETSC_SUCCESS); |
| 200 | } | ||
| 201 | |||
| 202 | /*@ | ||
| 203 | STGetBilinearForm - Returns the matrix used in the bilinear form with a | ||
| 204 | generalized eigenproblem with semi-definite $B$. | ||
| 205 | |||
| 206 | Logically Collective | ||
| 207 | |||
| 208 | Input Parameter: | ||
| 209 | . st - the spectral transformation context | ||
| 210 | |||
| 211 | Output Parameter: | ||
| 212 | . B - output matrix | ||
| 213 | |||
| 214 | Notes: | ||
| 215 | The output matrix `B` must be destroyed after use. It will be `NULL` in | ||
| 216 | case of standard eigenproblems. | ||
| 217 | |||
| 218 | Level: developer | ||
| 219 | |||
| 220 | .seealso: [](ch:st), `BVSetMatrix()` | ||
| 221 | @*/ | ||
| 222 | 1513 | PetscErrorCode STGetBilinearForm(ST st,Mat *B) | |
| 223 | { | ||
| 224 |
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1513 | PetscFunctionBegin; |
| 225 |
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1513 | PetscValidHeaderSpecific(st,ST_CLASSID,1); |
| 226 |
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1513 | PetscValidType(st,1); |
| 227 |
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1513 | PetscAssertPointer(B,2); |
| 228 |
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1513 | STCheckMatrices(st,1); |
| 229 |
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1513 | PetscUseTypeMethod(st,getbilinearform,B); |
| 230 |
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293 | PetscFunctionReturn(PETSC_SUCCESS); |
| 231 | } | ||
| 232 | |||
| 233 | 1428 | PetscErrorCode STGetBilinearForm_Default(ST st,Mat *B) | |
| 234 | { | ||
| 235 |
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1428 | PetscFunctionBegin; |
| 236 |
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1428 | if (st->nmat==1) *B = NULL; |
| 237 | else { | ||
| 238 | 1428 | *B = st->A[1]; | |
| 239 |
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1428 | PetscCall(PetscObjectReference((PetscObject)*B)); |
| 240 | } | ||
| 241 |
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276 | PetscFunctionReturn(PETSC_SUCCESS); |
| 242 | } | ||
| 243 | |||
| 244 | 1261378 | static PetscErrorCode MatMult_STOperator(Mat Op,Vec x,Vec y) | |
| 245 | { | ||
| 246 | 1261378 | ST st; | |
| 247 | |||
| 248 |
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1261378 | PetscFunctionBegin; |
| 249 |
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1261378 | PetscCall(MatShellGetContext(Op,&st)); |
| 250 |
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1261378 | PetscCall(STSetUp(st)); |
| 251 |
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1261378 | PetscCall(PetscLogEventBegin(ST_Apply,st,x,y,0)); |
| 252 |
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1261378 | if (st->D) { /* with balancing */ |
| 253 |
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7045 | PetscCall(VecPointwiseDivide(st->wb,x,st->D)); |
| 254 |
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7045 | PetscUseTypeMethod(st,apply,st->wb,y); |
| 255 |
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7045 | PetscCall(VecPointwiseMult(y,y,st->D)); |
| 256 |
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1254333 | } else PetscUseTypeMethod(st,apply,x,y); |
| 257 |
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1261378 | PetscCall(PetscLogEventEnd(ST_Apply,st,x,y,0)); |
| 258 |
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249690 | PetscFunctionReturn(PETSC_SUCCESS); |
| 259 | } | ||
| 260 | |||
| 261 | 8610 | static PetscErrorCode MatMultTranspose_STOperator(Mat Op,Vec x,Vec y) | |
| 262 | { | ||
| 263 | 8610 | ST st; | |
| 264 | |||
| 265 |
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8610 | PetscFunctionBegin; |
| 266 |
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8610 | PetscCall(MatShellGetContext(Op,&st)); |
| 267 |
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8610 | PetscCall(STSetUp(st)); |
| 268 |
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8610 | PetscCall(PetscLogEventBegin(ST_ApplyTranspose,st,x,y,0)); |
| 269 |
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8610 | if (st->D) { /* with balancing */ |
| 270 |
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250 | PetscCall(VecPointwiseMult(st->wb,x,st->D)); |
| 271 |
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250 | PetscUseTypeMethod(st,applytrans,st->wb,y); |
| 272 |
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250 | PetscCall(VecPointwiseDivide(y,y,st->D)); |
| 273 |
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8360 | } else PetscUseTypeMethod(st,applytrans,x,y); |
| 274 |
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8610 | PetscCall(PetscLogEventEnd(ST_ApplyTranspose,st,x,y,0)); |
| 275 |
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1646 | PetscFunctionReturn(PETSC_SUCCESS); |
| 276 | } | ||
| 277 | |||
| 278 | #if defined(PETSC_USE_COMPLEX) | ||
| 279 | 7528 | static PetscErrorCode MatMultHermitianTranspose_STOperator(Mat Op,Vec x,Vec y) | |
| 280 | { | ||
| 281 | 7528 | ST st; | |
| 282 | |||
| 283 |
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7528 | PetscFunctionBegin; |
| 284 |
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7528 | PetscCall(MatShellGetContext(Op,&st)); |
| 285 |
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7528 | PetscCall(STSetUp(st)); |
| 286 |
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7528 | PetscCall(PetscLogEventBegin(ST_ApplyHermitianTranspose,st,x,y,0)); |
| 287 |
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7528 | if (st->ops->applyhermtrans) { |
| 288 |
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7528 | if (st->D) { /* with balancing */ |
| 289 |
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250 | PetscCall(VecConjugate(st->D)); |
| 290 |
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250 | PetscCall(VecPointwiseMult(st->wb,x,st->D)); |
| 291 |
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250 | PetscUseTypeMethod(st,applyhermtrans,st->wb,y); |
| 292 |
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250 | PetscCall(VecPointwiseDivide(y,y,st->D)); |
| 293 |
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250 | PetscCall(VecConjugate(st->D)); |
| 294 |
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7278 | } else PetscUseTypeMethod(st,applyhermtrans,x,y); |
| 295 | } else { | ||
| 296 | ✗ | if (!st->wht) PetscCall(MatCreateVecs(st->A[0],&st->wht,NULL)); | |
| 297 | ✗ | PetscCall(VecCopy(x,st->wht)); | |
| 298 | ✗ | PetscCall(VecConjugate(st->wht)); | |
| 299 | ✗ | if (st->D) { /* with balancing */ | |
| 300 | ✗ | PetscCall(VecPointwiseMult(st->wb,st->wht,st->D)); | |
| 301 | ✗ | PetscUseTypeMethod(st,applytrans,st->wb,y); | |
| 302 | ✗ | PetscCall(VecPointwiseDivide(y,y,st->D)); | |
| 303 | ✗ | } else PetscUseTypeMethod(st,applytrans,st->wht,y); | |
| 304 | ✗ | PetscCall(VecConjugate(y)); | |
| 305 | } | ||
| 306 |
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7528 | PetscCall(PetscLogEventEnd(ST_ApplyHermitianTranspose,st,x,y,0)); |
| 307 |
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1590 | PetscFunctionReturn(PETSC_SUCCESS); |
| 308 | } | ||
| 309 | #endif | ||
| 310 | |||
| 311 | 36828 | static PetscErrorCode MatMatMult_STOperator(Mat Op,Mat B,Mat C,void *ctx) | |
| 312 | { | ||
| 313 | 36828 | ST st; | |
| 314 | |||
| 315 |
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36828 | PetscFunctionBegin; |
| 316 |
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36828 | PetscCall(MatShellGetContext(Op,&st)); |
| 317 |
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36828 | PetscCall(STSetUp(st)); |
| 318 |
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36828 | PetscCall(PetscLogEventBegin(ST_Apply,st,B,C,0)); |
| 319 |
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36828 | PetscCall(STApplyMat_Generic(st,B,C)); |
| 320 |
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36828 | PetscCall(PetscLogEventEnd(ST_Apply,st,B,C,0)); |
| 321 |
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7162 | PetscFunctionReturn(PETSC_SUCCESS); |
| 322 | } | ||
| 323 | |||
| 324 | 648428 | PetscErrorCode STGetOperator_Private(ST st,Mat *Op) | |
| 325 | { | ||
| 326 | 648428 | PetscInt m,n,M,N; | |
| 327 | 648428 | Vec v; | |
| 328 | 648428 | VecType vtype; | |
| 329 | |||
| 330 |
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648428 | PetscFunctionBegin; |
| 331 |
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648428 | if (!st->Op) { |
| 332 |
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5862 | if (Op) *Op = NULL; |
| 333 | /* create the shell matrix */ | ||
| 334 |
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5862 | PetscCall(MatGetLocalSize(st->A[0],&m,&n)); |
| 335 |
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5862 | PetscCall(MatGetSize(st->A[0],&M,&N)); |
| 336 |
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5862 | PetscCall(MatCreateShell(PetscObjectComm((PetscObject)st),m,n,M,N,st,&st->Op)); |
| 337 |
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5862 | PetscCall(MatShellSetOperation(st->Op,MATOP_MULT,(PetscErrorCodeFn*)MatMult_STOperator)); |
| 338 |
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|
5862 | PetscCall(MatShellSetOperation(st->Op,MATOP_MULT_TRANSPOSE,(PetscErrorCodeFn*)MatMultTranspose_STOperator)); |
| 339 | #if defined(PETSC_USE_COMPLEX) | ||
| 340 |
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2866 | PetscCall(MatShellSetOperation(st->Op,MATOP_MULT_HERMITIAN_TRANSPOSE,(PetscErrorCodeFn*)MatMultHermitianTranspose_STOperator)); |
| 341 | #else | ||
| 342 |
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2996 | PetscCall(MatShellSetOperation(st->Op,MATOP_MULT_HERMITIAN_TRANSPOSE,(PetscErrorCodeFn*)MatMultTranspose_STOperator)); |
| 343 | #endif | ||
| 344 |
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5862 | if (!st->D && st->ops->apply==STApply_Generic) { |
| 345 |
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5026 | PetscCall(MatShellSetMatProductOperation(st->Op,MATPRODUCT_AB,NULL,MatMatMult_STOperator,NULL,MATDENSE,MATDENSE)); |
| 346 |
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5026 | PetscCall(MatShellSetMatProductOperation(st->Op,MATPRODUCT_AB,NULL,MatMatMult_STOperator,NULL,MATDENSECUDA,MATDENSECUDA)); |
| 347 |
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5026 | PetscCall(MatShellSetMatProductOperation(st->Op,MATPRODUCT_AB,NULL,MatMatMult_STOperator,NULL,MATDENSEHIP,MATDENSEHIP)); |
| 348 | } | ||
| 349 | /* make sure the shell matrix generates a vector of the same type as the problem matrices */ | ||
| 350 |
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5862 | PetscCall(MatCreateVecs(st->A[0],&v,NULL)); |
| 351 |
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5862 | PetscCall(VecGetType(v,&vtype)); |
| 352 |
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5862 | PetscCall(MatShellSetVecType(st->Op,vtype)); |
| 353 |
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5862 | PetscCall(VecDestroy(&v)); |
| 354 | /* build the operator matrices */ | ||
| 355 |
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5862 | PetscCall(STComputeOperator(st)); |
| 356 | } | ||
| 357 |
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648428 | if (Op) *Op = st->Op; |
| 358 |
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129798 | PetscFunctionReturn(PETSC_SUCCESS); |
| 359 | } | ||
| 360 | |||
| 361 | /*@ | ||
| 362 | STGetOperator - Returns a shell matrix that represents the operator of the | ||
| 363 | spectral transformation. | ||
| 364 | |||
| 365 | Collective | ||
| 366 | |||
| 367 | Input Parameter: | ||
| 368 | . st - the spectral transformation context | ||
| 369 | |||
| 370 | Output Parameter: | ||
| 371 | . Op - operator matrix | ||
| 372 | |||
| 373 | Notes: | ||
| 374 | The operator is defined in linear eigenproblems only, not in polynomial ones, | ||
| 375 | so the call will fail if more than 2 matrices were passed in `STSetMatrices()`. | ||
| 376 | |||
| 377 | The returned shell matrix is essentially a wrapper to the `STApply()` and | ||
| 378 | `STApplyTranspose()` operations. The operator can often be expressed as | ||
| 379 | |||
| 380 | $$Op = D K^{-1} M D^{-1}$$ | ||
| 381 | |||
| 382 | where $D$ is the balancing matrix, and $M$ and $K$ are two matrices corresponding | ||
| 383 | to the numerator and denominator for spectral transformations that represent | ||
| 384 | a rational matrix function. In the case of `STSHELL`, the inner part $K^{-1}M$ | ||
| 385 | is replaced by the user-provided operation from `STShellSetApply()`. | ||
| 386 | |||
| 387 | The preconditioner matrix $K$ typically depends on the value of the shift, and | ||
| 388 | its inverse is handled via an internal `KSP` object. Normal usage does not | ||
| 389 | require explicitly calling `STGetOperator()`, but it can be used to force the | ||
| 390 | creation of $K$ and $M$, and then $K$ is passed to the `KSP`. This is useful for | ||
| 391 | setting options associated with the `PCFactor` (to set MUMPS options, for instance). | ||
| 392 | |||
| 393 | The returned matrix must NOT be destroyed by the user. Instead, when no | ||
| 394 | longer needed it must be returned with `STRestoreOperator()`. In particular, | ||
| 395 | this is required before modifying the `ST` matrices or the shift. | ||
| 396 | |||
| 397 | A `NULL` pointer can be passed in `Op` in case the matrix is not required but we | ||
| 398 | want to force its creation. In this case, `STRestoreOperator()` should not be | ||
| 399 | called. | ||
| 400 | |||
| 401 | Level: advanced | ||
| 402 | |||
| 403 | .seealso: [](ch:st), `STApply()`, `STApplyTranspose()`, `STSetBalanceMatrix()`, `STShellSetApply()`, `STGetKSP()`, `STSetShift()`, `STRestoreOperator()`, `STSetMatrices()` | ||
| 404 | @*/ | ||
| 405 | 51534 | PetscErrorCode STGetOperator(ST st,Mat *Op) | |
| 406 | { | ||
| 407 |
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51534 | PetscFunctionBegin; |
| 408 |
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51534 | PetscValidHeaderSpecific(st,ST_CLASSID,1); |
| 409 |
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51534 | PetscValidType(st,1); |
| 410 |
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51534 | STCheckMatrices(st,1); |
| 411 |
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51534 | STCheckNotSeized(st,1); |
| 412 |
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51534 | PetscCheck(st->nmat<=2,PetscObjectComm((PetscObject)st),PETSC_ERR_ARG_WRONGSTATE,"The operator is not defined in polynomial eigenproblems"); |
| 413 |
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51534 | PetscCall(STGetOperator_Private(st,Op)); |
| 414 |
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51534 | if (Op) st->opseized = PETSC_TRUE; |
| 415 |
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10083 | PetscFunctionReturn(PETSC_SUCCESS); |
| 416 | } | ||
| 417 | |||
| 418 | /*@ | ||
| 419 | STRestoreOperator - Restore the previously seized operator matrix. | ||
| 420 | |||
| 421 | Logically Collective | ||
| 422 | |||
| 423 | Input Parameters: | ||
| 424 | + st - the spectral transformation context | ||
| 425 | - Op - operator matrix | ||
| 426 | |||
| 427 | Notes: | ||
| 428 | The arguments must match the corresponding call to `STGetOperator()`. | ||
| 429 | |||
| 430 | Level: advanced | ||
| 431 | |||
| 432 | .seealso: [](ch:st), `STGetOperator()` | ||
| 433 | @*/ | ||
| 434 | 51209 | PetscErrorCode STRestoreOperator(ST st,Mat *Op) | |
| 435 | { | ||
| 436 |
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51209 | PetscFunctionBegin; |
| 437 |
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51209 | PetscValidHeaderSpecific(st,ST_CLASSID,1); |
| 438 |
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51209 | PetscAssertPointer(Op,2); |
| 439 |
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51209 | PetscValidHeaderSpecific(*Op,MAT_CLASSID,2); |
| 440 |
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51209 | PetscCheck(st->opseized,PetscObjectComm((PetscObject)st),PETSC_ERR_ARG_WRONGSTATE,"Must be called after STGetOperator()"); |
| 441 | 51209 | *Op = NULL; | |
| 442 | 51209 | st->opseized = PETSC_FALSE; | |
| 443 |
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51209 | PetscFunctionReturn(PETSC_SUCCESS); |
| 444 | } | ||
| 445 | |||
| 446 | /* | ||
| 447 | STComputeOperator - Computes the matrices that constitute the operator | ||
| 448 | |||
| 449 | Op = D*inv(K)*M*inv(D). | ||
| 450 | |||
| 451 | K and M are computed here (D is user-provided) from the system matrices | ||
| 452 | and the shift sigma (whenever these are changed, this function recomputes | ||
| 453 | K and M). This is used only in linear eigenproblems (nmat<3). | ||
| 454 | |||
| 455 | K is the "preconditioner matrix": it is the denominator in rational operators, | ||
| 456 | e.g. (A-sigma*B) in shift-and-invert. In non-rational transformations such | ||
| 457 | as STFILTER, K=NULL which means identity. After computing K, it is passed to | ||
| 458 | the internal KSP object via KSPSetOperators. | ||
| 459 | |||
| 460 | M is the numerator in rational operators. If unused it is set to NULL (e.g. | ||
| 461 | in STPRECOND). | ||
| 462 | |||
| 463 | STSHELL does not compute anything here, but sets the flag as if it was ready. | ||
| 464 | */ | ||
| 465 | 14974 | PetscErrorCode STComputeOperator(ST st) | |
| 466 | { | ||
| 467 | 14974 | PC pc; | |
| 468 | |||
| 469 |
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14974 | PetscFunctionBegin; |
| 470 |
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14974 | PetscValidHeaderSpecific(st,ST_CLASSID,1); |
| 471 |
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14974 | PetscValidType(st,1); |
| 472 |
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14974 | if (!st->opready && st->ops->computeoperator) { |
| 473 |
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8924 | PetscCall(PetscInfo(st,"Building the operator matrices\n")); |
| 474 |
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8924 | STCheckMatrices(st,1); |
| 475 |
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8924 | if (!st->T) PetscCall(PetscCalloc1(PetscMax(2,st->nmat),&st->T)); |
| 476 |
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8924 | PetscCall(PetscLogEventBegin(ST_ComputeOperator,st,0,0,0)); |
| 477 |
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8924 | PetscUseTypeMethod(st,computeoperator); |
| 478 |
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8924 | PetscCall(PetscLogEventEnd(ST_ComputeOperator,st,0,0,0)); |
| 479 |
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8924 | if (st->usesksp) { |
| 480 |
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4389 | if (!st->ksp) PetscCall(STGetKSP(st,&st->ksp)); |
| 481 |
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4389 | if (st->P) { |
| 482 |
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4047 | PetscCall(STSetDefaultKSP(st)); |
| 483 |
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4047 | PetscCall(ST_KSPSetOperators(st,st->P,st->Pmat?st->Pmat:st->P)); |
| 484 | } else { | ||
| 485 | /* STPRECOND defaults to PCNONE if st->P is empty */ | ||
| 486 |
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342 | PetscCall(KSPGetPC(st->ksp,&pc)); |
| 487 |
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342 | PetscCall(PCSetType(pc,PCNONE)); |
| 488 | } | ||
| 489 | } | ||
| 490 | } | ||
| 491 | 14974 | st->opready = PETSC_TRUE; | |
| 492 |
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14974 | PetscFunctionReturn(PETSC_SUCCESS); |
| 493 | } | ||
| 494 | |||
| 495 | /*@ | ||
| 496 | STSetUp - Prepares for the use of a spectral transformation. | ||
| 497 | |||
| 498 | Collective | ||
| 499 | |||
| 500 | Input Parameter: | ||
| 501 | . st - the spectral transformation context | ||
| 502 | |||
| 503 | Level: advanced | ||
| 504 | |||
| 505 | .seealso: [](ch:st), `STCreate()`, `STApply()`, `STDestroy()` | ||
| 506 | @*/ | ||
| 507 | 1328622 | PetscErrorCode STSetUp(ST st) | |
| 508 | { | ||
| 509 | 1328622 | PetscInt i,n,k; | |
| 510 | |||
| 511 |
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1328622 | PetscFunctionBegin; |
| 512 |
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1328622 | PetscValidHeaderSpecific(st,ST_CLASSID,1); |
| 513 |
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1328622 | PetscValidType(st,1); |
| 514 |
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1328622 | STCheckMatrices(st,1); |
| 515 |
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1328622 | switch (st->state) { |
| 516 | 10858 | case ST_STATE_INITIAL: | |
| 517 |
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10858 | PetscCall(PetscInfo(st,"Setting up new ST\n")); |
| 518 |
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10858 | if (!((PetscObject)st)->type_name) PetscCall(STSetType(st,STSHIFT)); |
| 519 | break; | ||
| 520 | 260642 | case ST_STATE_SETUP: | |
| 521 |
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260642 | PetscFunctionReturn(PETSC_SUCCESS); |
| 522 | 541 | case ST_STATE_UPDATED: | |
| 523 |
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541 | PetscCall(PetscInfo(st,"Setting up updated ST\n")); |
| 524 | break; | ||
| 525 | } | ||
| 526 |
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11399 | PetscCall(PetscLogEventBegin(ST_SetUp,st,0,0,0)); |
| 527 |
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11399 | if (st->state!=ST_STATE_UPDATED) { |
| 528 |
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10858 | if (!(st->nmat<3 && st->opready)) { |
| 529 |
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10593 | if (st->T) { |
| 530 |
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2760 | for (i=0;i<PetscMax(2,st->nmat);i++) PetscCall(MatDestroy(&st->T[i])); |
| 531 | } | ||
| 532 |
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10593 | PetscCall(MatDestroy(&st->P)); |
| 533 | } | ||
| 534 | } | ||
| 535 |
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11399 | if (st->D) { |
| 536 |
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|
130 | PetscCall(MatGetLocalSize(st->A[0],NULL,&n)); |
| 537 |
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|
130 | PetscCall(VecGetLocalSize(st->D,&k)); |
| 538 |
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130 | PetscCheck(n==k,PetscObjectComm((PetscObject)st),PETSC_ERR_ARG_SIZ,"Balance matrix has wrong dimension %" PetscInt_FMT " (should be %" PetscInt_FMT ")",k,n); |
| 539 |
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130 | if (!st->wb) PetscCall(VecDuplicate(st->D,&st->wb)); |
| 540 | } | ||
| 541 |
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|
11399 | if (st->nmat<3 && st->transform) PetscCall(STComputeOperator(st)); |
| 542 | else { | ||
| 543 |
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|
2287 | if (!st->T) PetscCall(PetscCalloc1(PetscMax(2,st->nmat),&st->T)); |
| 544 | } | ||
| 545 |
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|
11399 | PetscTryTypeMethod(st,setup); |
| 546 | 11399 | st->state = ST_STATE_SETUP; | |
| 547 |
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|
11399 | PetscCall(PetscLogEventEnd(ST_SetUp,st,0,0,0)); |
| 548 |
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|
2202 | PetscFunctionReturn(PETSC_SUCCESS); |
| 549 | } | ||
| 550 | |||
| 551 | /* | ||
| 552 | Computes coefficients for the transformed polynomial, | ||
| 553 | and stores the result in argument S. | ||
| 554 | |||
| 555 | alpha - value of the parameter of the transformed polynomial | ||
| 556 | beta - value of the previous shift (only used in inplace mode) | ||
| 557 | k - index of first matrix included in the computation | ||
| 558 | coeffs - coefficients of the expansion | ||
| 559 | initial - true if this is the first time | ||
| 560 | precond - whether the preconditioner matrix must be computed | ||
| 561 | */ | ||
| 562 | 16430 | PetscErrorCode STMatMAXPY_Private(ST st,PetscScalar alpha,PetscScalar beta,PetscInt k,PetscScalar *coeffs,PetscBool initial,PetscBool precond,Mat *S) | |
| 563 | { | ||
| 564 | 16430 | PetscInt *matIdx=NULL,nmat,i,ini=-1; | |
| 565 | 16430 | PetscScalar t=1.0,ta,gamma; | |
| 566 | 16430 | PetscBool nz=PETSC_FALSE; | |
| 567 |
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16430 | Mat *A=precond?st->Psplit:st->A; |
| 568 |
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16430 | MatStructure str=precond?st->strp:st->str; |
| 569 | |||
| 570 |
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16430 | PetscFunctionBegin; |
| 571 | 16430 | nmat = st->nmat-k; | |
| 572 |
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|
16430 | switch (st->matmode) { |
| 573 | 240 | case ST_MATMODE_INPLACE: | |
| 574 |
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240 | PetscCheck(st->nmat<=2,PetscObjectComm((PetscObject)st),PETSC_ERR_SUP,"ST_MATMODE_INPLACE not supported for polynomial eigenproblems"); |
| 575 |
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240 | PetscCheck(!precond,PetscObjectComm((PetscObject)st),PETSC_ERR_SUP,"ST_MATMODE_INPLACE not supported for split preconditioner"); |
| 576 |
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240 | if (initial) { |
| 577 |
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|
135 | PetscCall(PetscObjectReference((PetscObject)A[0])); |
| 578 | 135 | *S = A[0]; | |
| 579 | 135 | gamma = alpha; | |
| 580 | 105 | } else gamma = alpha-beta; | |
| 581 |
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240 | if (gamma != 0.0) { |
| 582 |
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|
195 | if (st->nmat>1) PetscCall(MatAXPY(*S,gamma,A[1],str)); |
| 583 |
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|
145 | else PetscCall(MatShift(*S,gamma)); |
| 584 | } | ||
| 585 | break; | ||
| 586 | 1094 | case ST_MATMODE_SHELL: | |
| 587 |
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|
1094 | PetscCheck(!precond,PetscObjectComm((PetscObject)st),PETSC_ERR_SUP,"ST_MATMODE_SHELL not supported for split preconditioner"); |
| 588 |
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1094 | if (initial) { |
| 589 |
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|
879 | if (st->nmat>2) { |
| 590 |
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|
100 | PetscCall(PetscMalloc1(nmat,&matIdx)); |
| 591 |
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|
390 | for (i=0;i<nmat;i++) matIdx[i] = k+i; |
| 592 | } | ||
| 593 |
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|
879 | PetscCall(STMatShellCreate(st,alpha,nmat,matIdx,coeffs,S)); |
| 594 |
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|
879 | if (st->nmat>2) PetscCall(PetscFree(matIdx)); |
| 595 |
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|
215 | } else PetscCall(STMatShellShift(*S,alpha)); |
| 596 | break; | ||
| 597 | 15096 | case ST_MATMODE_COPY: | |
| 598 |
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15096 | if (coeffs) { |
| 599 |
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|
5894 | for (i=0;i<nmat && ini==-1;i++) { |
| 600 |
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|
3452 | if (coeffs[i]!=0.0) ini = i; |
| 601 | 1010 | else t *= alpha; | |
| 602 | } | ||
| 603 |
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|
2442 | if (coeffs[ini] != 1.0) nz = PETSC_TRUE; |
| 604 |
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|
4569 | for (i=ini+1;i<nmat&&!nz;i++) if (coeffs[i]!=0.0) nz = PETSC_TRUE; |
| 605 | } else { nz = PETSC_TRUE; ini = 0; } | ||
| 606 |
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15096 | if ((alpha == 0.0 || !nz) && t==1.0) { |
| 607 |
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|
7424 | PetscCall(PetscObjectReference((PetscObject)A[k+ini])); |
| 608 |
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|
7424 | PetscCall(MatDestroy(S)); |
| 609 | 7424 | *S = A[k+ini]; | |
| 610 | } else { | ||
| 611 |
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7672 | if (*S && *S!=A[k+ini]) { |
| 612 |
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|
5288 | PetscCall(MatSetOption(*S,MAT_NEW_NONZERO_ALLOCATION_ERR,PETSC_FALSE)); |
| 613 |
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|
5288 | PetscCall(MatCopy(A[k+ini],*S,DIFFERENT_NONZERO_PATTERN)); |
| 614 | } else { | ||
| 615 |
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2384 | PetscCall(MatDestroy(S)); |
| 616 |
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2384 | PetscCall(MatDuplicate(A[k+ini],MAT_COPY_VALUES,S)); |
| 617 |
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2384 | PetscCall(MatSetOption(*S,MAT_NEW_NONZERO_ALLOCATION_ERR,PETSC_FALSE)); |
| 618 | } | ||
| 619 |
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7672 | if (coeffs && coeffs[ini]!=1.0) PetscCall(MatScale(*S,coeffs[ini])); |
| 620 |
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|
17898 | for (i=ini+k+1;i<PetscMax(2,st->nmat);i++) { |
| 621 | 10226 | t *= alpha; | |
| 622 | 10226 | ta = t; | |
| 623 |
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10226 | if (coeffs) ta *= coeffs[i-k]; |
| 624 |
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10226 | if (ta!=0.0) { |
| 625 |
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|
10216 | if (st->nmat>1) PetscCall(MatAXPY(*S,ta,A[i],str)); |
| 626 |
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|
10226 | else PetscCall(MatShift(*S,ta)); |
| 627 | } | ||
| 628 | } | ||
| 629 | } | ||
| 630 | } | ||
| 631 |
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|
16430 | PetscCall(MatSetOption(*S,MAT_SYMMETRIC,st->asymm)); |
| 632 |
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|
18070 | PetscCall(MatSetOption(*S,MAT_HERMITIAN,(PetscImaginaryPart(st->sigma)==0.0)?st->aherm:PETSC_FALSE)); |
| 633 |
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|
3218 | PetscFunctionReturn(PETSC_SUCCESS); |
| 634 | } | ||
| 635 | |||
| 636 | /* | ||
| 637 | Computes the values of the coefficients required by STMatMAXPY_Private | ||
| 638 | for the case of monomial basis. | ||
| 639 | */ | ||
| 640 | 419 | PetscErrorCode STCoeffs_Monomial(ST st, PetscScalar *coeffs) | |
| 641 | { | ||
| 642 | 419 | PetscInt k,i,ini,inip; | |
| 643 | |||
| 644 |
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419 | PetscFunctionBegin; |
| 645 | /* Compute binomial coefficients */ | ||
| 646 | 419 | ini = (st->nmat*(st->nmat-1))/2; | |
| 647 |
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1776 | for (i=0;i<st->nmat;i++) coeffs[ini+i]=1.0; |
| 648 |
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|
1357 | for (k=st->nmat-1;k>=1;k--) { |
| 649 | 938 | inip = ini+1; | |
| 650 | 938 | ini = (k*(k-1))/2; | |
| 651 | 938 | coeffs[ini] = 1.0; | |
| 652 |
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|
1557 | for (i=1;i<k;i++) coeffs[ini+i] = coeffs[ini+i-1]+coeffs[inip+i-1]; |
| 653 | } | ||
| 654 |
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|
419 | PetscFunctionReturn(PETSC_SUCCESS); |
| 655 | } | ||
| 656 | |||
| 657 | /*@ | ||
| 658 | STPostSolve - Optional post-solve phase, intended for any actions that must | ||
| 659 | be performed on the `ST` object after the eigensolver has finished. | ||
| 660 | |||
| 661 | Collective | ||
| 662 | |||
| 663 | Input Parameter: | ||
| 664 | . st - the spectral transformation context | ||
| 665 | |||
| 666 | Level: developer | ||
| 667 | |||
| 668 | .seealso: [](ch:st), `EPSSolve()` | ||
| 669 | @*/ | ||
| 670 | 11824 | PetscErrorCode STPostSolve(ST st) | |
| 671 | { | ||
| 672 |
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|
11824 | PetscFunctionBegin; |
| 673 |
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|
11824 | PetscValidHeaderSpecific(st,ST_CLASSID,1); |
| 674 |
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11824 | PetscValidType(st,1); |
| 675 |
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|
11824 | PetscTryTypeMethod(st,postsolve); |
| 676 |
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|
2284 | PetscFunctionReturn(PETSC_SUCCESS); |
| 677 | } | ||
| 678 | |||
| 679 | /*@ | ||
| 680 | STBackTransform - Back-transformation phase, intended for | ||
| 681 | spectral transformations which require to transform the computed | ||
| 682 | eigenvalues back to the original eigenvalue problem. | ||
| 683 | |||
| 684 | Not Collective | ||
| 685 | |||
| 686 | Input Parameters: | ||
| 687 | + st - the spectral transformation context | ||
| 688 | . n - number of eigenvalues | ||
| 689 | . eigr - real part of a computed eigenvalues | ||
| 690 | - eigi - imaginary part of a computed eigenvalues | ||
| 691 | |||
| 692 | Level: developer | ||
| 693 | |||
| 694 | .seealso: [](ch:st), `STIsInjective()` | ||
| 695 | @*/ | ||
| 696 | 19731669 | PetscErrorCode STBackTransform(ST st,PetscInt n,PetscScalar eigr[],PetscScalar eigi[]) | |
| 697 | { | ||
| 698 |
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|
19731669 | PetscFunctionBegin; |
| 699 |
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|
19731669 | PetscValidHeaderSpecific(st,ST_CLASSID,1); |
| 700 |
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19731669 | PetscValidType(st,1); |
| 701 |
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|
19731669 | PetscTryTypeMethod(st,backtransform,n,eigr,eigi); |
| 702 |
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|
3999861 | PetscFunctionReturn(PETSC_SUCCESS); |
| 703 | } | ||
| 704 | |||
| 705 | /*@ | ||
| 706 | STIsInjective - Returns whether this spectral transformation is injective or not | ||
| 707 | (that is, if it corresponds to a one-to-one mapping). If not, then it | ||
| 708 | does not make sense to call `STBackTransform()`. | ||
| 709 | |||
| 710 | Not Collective | ||
| 711 | |||
| 712 | Input Parameter: | ||
| 713 | . st - the spectral transformation context | ||
| 714 | |||
| 715 | Output Parameter: | ||
| 716 | . is - the answer | ||
| 717 | |||
| 718 | Note: | ||
| 719 | In case of non-injective transformations such as `STFILTER`, the eigenvalues | ||
| 720 | of the original eigenproblem are computed via the Rayleigh quotient | ||
| 721 | $\rho(A,x) = \frac{x^*Ax}{x^*x}$ for each computed eigenvector $x$. | ||
| 722 | |||
| 723 | Level: developer | ||
| 724 | |||
| 725 | .seealso: [](ch:st), `STBackTransform()` | ||
| 726 | @*/ | ||
| 727 | 7852 | PetscErrorCode STIsInjective(ST st,PetscBool* is) | |
| 728 | { | ||
| 729 | 7852 | PetscBool shell; | |
| 730 | |||
| 731 |
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7852 | PetscFunctionBegin; |
| 732 |
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|
7852 | PetscValidHeaderSpecific(st,ST_CLASSID,1); |
| 733 |
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7852 | PetscValidType(st,1); |
| 734 |
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7852 | PetscAssertPointer(is,2); |
| 735 | |||
| 736 |
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7852 | PetscCall(PetscObjectTypeCompare((PetscObject)st,STSHELL,&shell)); |
| 737 |
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7852 | if (shell) PetscCall(STIsInjective_Shell(st,is)); |
| 738 | 7521 | else *is = st->ops->backtransform? PETSC_TRUE: PETSC_FALSE; | |
| 739 |
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1482 | PetscFunctionReturn(PETSC_SUCCESS); |
| 740 | } | ||
| 741 | |||
| 742 | /*@ | ||
| 743 | STMatSetUp - Build the preconditioner matrix used in `STMatSolve()`. | ||
| 744 | |||
| 745 | Collective | ||
| 746 | |||
| 747 | Input Parameters: | ||
| 748 | + st - the spectral transformation context | ||
| 749 | . sigma - the shift | ||
| 750 | - coeffs - the coefficients (may be `NULL`) | ||
| 751 | |||
| 752 | Note: | ||
| 753 | This function is not intended to be called by end users, but by SLEPc | ||
| 754 | solvers that use `ST`. It builds the internal matrix for the preconditioner as | ||
| 755 | $$ | ||
| 756 | P=\begin{cases} | ||
| 757 | \sum_{i=0}^{\mathtt{nmat}-1}\mathtt{coeffs[i]}\,\sigma^i A_i, & \text{if coefficients given}\\ | ||
| 758 | \sum_{i=0}^{\mathtt{nmat}-1}\sigma^i A_i, & \text{otherwise} | ||
| 759 | \end{cases} | ||
| 760 | $$ | ||
| 761 | then calls `KSPSetUp()`. | ||
| 762 | |||
| 763 | Level: developer | ||
| 764 | |||
| 765 | .seealso: [](ch:st), `STMatSolve()` | ||
| 766 | @*/ | ||
| 767 | 1574 | PetscErrorCode STMatSetUp(ST st,PetscScalar sigma,PetscScalar coeffs[]) | |
| 768 | { | ||
| 769 |
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1574 | PetscFunctionBegin; |
| 770 |
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1574 | PetscValidHeaderSpecific(st,ST_CLASSID,1); |
| 771 |
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1574 | PetscValidLogicalCollectiveScalar(st,sigma,2); |
| 772 |
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1574 | STCheckMatrices(st,1); |
| 773 | |||
| 774 |
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1574 | PetscCall(PetscLogEventBegin(ST_MatSetUp,st,0,0,0)); |
| 775 |
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1574 | PetscCall(STMatMAXPY_Private(st,sigma,0.0,0,coeffs,PETSC_TRUE,PETSC_FALSE,&st->P)); |
| 776 |
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1574 | if (st->Psplit) PetscCall(STMatMAXPY_Private(st,sigma,0.0,0,coeffs,PETSC_TRUE,PETSC_TRUE,&st->Pmat)); |
| 777 |
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1574 | PetscCall(ST_KSPSetOperators(st,st->P,st->Pmat?st->Pmat:st->P)); |
| 778 |
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1574 | PetscCall(KSPSetUp(st->ksp)); |
| 779 |
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1574 | PetscCall(PetscLogEventEnd(ST_MatSetUp,st,0,0,0)); |
| 780 |
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304 | PetscFunctionReturn(PETSC_SUCCESS); |
| 781 | } | ||
| 782 | |||
| 783 | /*@ | ||
| 784 | STSetWorkVecs - Sets a number of work vectors into the `ST` object. | ||
| 785 | |||
| 786 | Collective | ||
| 787 | |||
| 788 | Input Parameters: | ||
| 789 | + st - the spectral transformation context | ||
| 790 | - nw - number of work vectors to allocate | ||
| 791 | |||
| 792 | Developer Notes: | ||
| 793 | This is `SLEPC_EXTERN` because it may be required by shell `ST`s. | ||
| 794 | |||
| 795 | Level: developer | ||
| 796 | |||
| 797 | .seealso: [](ch:st), `STMatCreateVecs()` | ||
| 798 | @*/ | ||
| 799 | 4029 | PetscErrorCode STSetWorkVecs(ST st,PetscInt nw) | |
| 800 | { | ||
| 801 | 4029 | PetscInt i; | |
| 802 | |||
| 803 |
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4029 | PetscFunctionBegin; |
| 804 |
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4029 | PetscValidHeaderSpecific(st,ST_CLASSID,1); |
| 805 |
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4029 | PetscValidLogicalCollectiveInt(st,nw,2); |
| 806 |
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4029 | PetscCheck(nw>0,PetscObjectComm((PetscObject)st),PETSC_ERR_ARG_OUTOFRANGE,"nw must be > 0: nw = %" PetscInt_FMT,nw); |
| 807 |
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4029 | if (st->nwork < nw) { |
| 808 |
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3809 | PetscCall(VecDestroyVecs(st->nwork,&st->work)); |
| 809 | 3809 | st->nwork = nw; | |
| 810 |
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3809 | PetscCall(PetscMalloc1(nw,&st->work)); |
| 811 |
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8060 | for (i=0;i<nw;i++) PetscCall(STMatCreateVecs(st,&st->work[i],NULL)); |
| 812 | } | ||
| 813 |
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782 | PetscFunctionReturn(PETSC_SUCCESS); |
| 814 | } | ||
| 815 |