| 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 | BV operations involving global communication | ||
| 12 | */ | ||
| 13 | |||
| 14 | #include <slepc/private/bvimpl.h> /*I "slepcbv.h" I*/ | ||
| 15 | |||
| 16 | /* | ||
| 17 | BVDot for the particular case of non-standard inner product with | ||
| 18 | matrix B, which is assumed to be symmetric (or complex Hermitian) | ||
| 19 | */ | ||
| 20 | 680 | static inline PetscErrorCode BVDot_Private(BV X,BV Y,Mat M) | |
| 21 | { | ||
| 22 | 680 | PetscObjectId idx,idy; | |
| 23 | 680 | PetscInt i,j,jend,m; | |
| 24 | 680 | PetscScalar *marray; | |
| 25 | 680 | PetscBool symm=PETSC_FALSE; | |
| 26 | 680 | Mat B; | |
| 27 | 680 | Vec z; | |
| 28 | |||
| 29 |
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680 | PetscFunctionBegin; |
| 30 |
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680 | BVCheckOp(Y,1,dotvec); |
| 31 |
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680 | PetscCall(MatGetSize(M,&m,NULL)); |
| 32 |
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680 | PetscCall(MatDenseGetArray(M,&marray)); |
| 33 |
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680 | PetscCall(PetscObjectGetId((PetscObject)X,&idx)); |
| 34 |
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680 | PetscCall(PetscObjectGetId((PetscObject)Y,&idy)); |
| 35 | 680 | B = Y->matrix; | |
| 36 | 680 | Y->matrix = NULL; | |
| 37 |
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680 | if (idx==idy) symm=PETSC_TRUE; /* M=X'BX is symmetric */ |
| 38 | 680 | jend = X->k; | |
| 39 |
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4120 | for (j=X->l;j<jend;j++) { |
| 40 |
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3440 | if (symm) Y->k = j+1; |
| 41 |
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3440 | PetscCall(BVGetColumn(X->cached,j,&z)); |
| 42 |
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3440 | PetscUseTypeMethod(Y,dotvec,z,marray+j*m+Y->l); |
| 43 |
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3440 | PetscCall(BVRestoreColumn(X->cached,j,&z)); |
| 44 |
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3440 | if (symm) { |
| 45 |
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10320 | for (i=X->l;i<j;i++) |
| 46 | 7360 | marray[j+i*m] = PetscConj(marray[i+j*m]); | |
| 47 | } | ||
| 48 | } | ||
| 49 |
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680 | PetscCall(MatDenseRestoreArray(M,&marray)); |
| 50 | 680 | Y->matrix = B; | |
| 51 |
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680 | PetscFunctionReturn(PETSC_SUCCESS); |
| 52 | } | ||
| 53 | |||
| 54 | /*@ | ||
| 55 | BVDot - Computes the 'block-dot' product of two basis vectors objects. | ||
| 56 | |||
| 57 | Collective | ||
| 58 | |||
| 59 | Input Parameters: | ||
| 60 | + X - first basis vectors | ||
| 61 | - Y - second basis vectors | ||
| 62 | |||
| 63 | Output Parameter: | ||
| 64 | . M - the resulting matrix | ||
| 65 | |||
| 66 | Notes: | ||
| 67 | This is the generalization of VecDot() for a collection of vectors, M = Y^H*X. | ||
| 68 | The result is a matrix M whose entry m_ij is equal to y_i^H x_j (where y_i^H | ||
| 69 | denotes the conjugate transpose of y_i). | ||
| 70 | |||
| 71 | If a non-standard inner product has been specified with BVSetMatrix(), | ||
| 72 | then the result is M = Y^H*B*X. In this case, both X and Y must have | ||
| 73 | the same associated matrix. | ||
| 74 | |||
| 75 | On entry, M must be a sequential dense Mat with dimensions m,n at least, where | ||
| 76 | m is the number of active columns of Y and n is the number of active columns of X. | ||
| 77 | Only rows (resp. columns) of M starting from ly (resp. lx) are computed, | ||
| 78 | where ly (resp. lx) is the number of leading columns of Y (resp. X). | ||
| 79 | |||
| 80 | X and Y need not be different objects. | ||
| 81 | |||
| 82 | Level: intermediate | ||
| 83 | |||
| 84 | .seealso: BVDotVec(), BVDotColumn(), BVSetActiveColumns(), BVSetMatrix() | ||
| 85 | @*/ | ||
| 86 | 295016 | PetscErrorCode BVDot(BV X,BV Y,Mat M) | |
| 87 | { | ||
| 88 | 295016 | PetscInt m,n; | |
| 89 | |||
| 90 |
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295016 | PetscFunctionBegin; |
| 91 |
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295016 | PetscValidHeaderSpecific(X,BV_CLASSID,1); |
| 92 |
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295016 | PetscValidHeaderSpecific(Y,BV_CLASSID,2); |
| 93 |
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295016 | PetscValidHeaderSpecific(M,MAT_CLASSID,3); |
| 94 |
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295016 | PetscValidType(X,1); |
| 95 |
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295016 | BVCheckSizes(X,1); |
| 96 |
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295016 | PetscValidType(Y,2); |
| 97 |
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295016 | BVCheckSizes(Y,2); |
| 98 |
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295016 | PetscValidType(M,3); |
| 99 |
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295016 | PetscCheckSameTypeAndComm(X,1,Y,2); |
| 100 |
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295016 | SlepcMatCheckSeq(M); |
| 101 | |||
| 102 |
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295016 | PetscCall(MatGetSize(M,&m,&n)); |
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295016 | PetscCheck(m>=Y->k,PetscObjectComm((PetscObject)X),PETSC_ERR_ARG_SIZ,"Mat argument has %" PetscInt_FMT " rows, should have at least %" PetscInt_FMT,m,Y->k); |
| 104 |
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295016 | PetscCheck(n>=X->k,PetscObjectComm((PetscObject)X),PETSC_ERR_ARG_SIZ,"Mat argument has %" PetscInt_FMT " columns, should have at least %" PetscInt_FMT,n,X->k); |
| 105 |
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295016 | PetscCheck(X->n==Y->n,PetscObjectComm((PetscObject)X),PETSC_ERR_ARG_INCOMP,"Mismatching local dimension X %" PetscInt_FMT ", Y %" PetscInt_FMT,X->n,Y->n); |
| 106 |
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295016 | PetscCheck(X->matrix==Y->matrix,PetscObjectComm((PetscObject)X),PETSC_ERR_ARG_WRONGSTATE,"X and Y must have the same inner product matrix"); |
| 107 |
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295016 | if (X->l==X->k || Y->l==Y->k) PetscFunctionReturn(PETSC_SUCCESS); |
| 108 | |||
| 109 |
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294084 | PetscCall(PetscLogEventBegin(BV_Dot,X,Y,0,0)); |
| 110 |
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294084 | if (X->matrix) { /* non-standard inner product */ |
| 111 | /* compute BX first */ | ||
| 112 |
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3579 | PetscCall(BV_IPMatMultBV(X)); |
| 113 |
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3579 | if (X->vmm==BV_MATMULT_VECS) { |
| 114 | /* perform computation column by column */ | ||
| 115 |
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680 | PetscCall(BVDot_Private(X,Y,M)); |
| 116 |
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2899 | } else PetscUseTypeMethod(X->cached,dot,Y,M); |
| 117 |
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290505 | } else PetscUseTypeMethod(X,dot,Y,M); |
| 118 |
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294084 | PetscCall(PetscLogEventEnd(BV_Dot,X,Y,0,0)); |
| 119 |
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57550 | PetscFunctionReturn(PETSC_SUCCESS); |
| 120 | } | ||
| 121 | |||
| 122 | /*@ | ||
| 123 | BVDotVec - Computes multiple dot products of a vector against all the | ||
| 124 | column vectors of a BV. | ||
| 125 | |||
| 126 | Collective | ||
| 127 | |||
| 128 | Input Parameters: | ||
| 129 | + X - basis vectors | ||
| 130 | - y - a vector | ||
| 131 | |||
| 132 | Output Parameter: | ||
| 133 | . m - an array where the result must be placed | ||
| 134 | |||
| 135 | Notes: | ||
| 136 | This is analogue to VecMDot(), but using BV to represent a collection | ||
| 137 | of vectors. The result is m = X^H*y, so m_i is equal to x_i^H y. Note | ||
| 138 | that here X is transposed as opposed to BVDot(). | ||
| 139 | |||
| 140 | If a non-standard inner product has been specified with BVSetMatrix(), | ||
| 141 | then the result is m = X^H*B*y. | ||
| 142 | |||
| 143 | The length of array m must be equal to the number of active columns of X | ||
| 144 | minus the number of leading columns, i.e. the first entry of m is the | ||
| 145 | product of the first non-leading column with y. | ||
| 146 | |||
| 147 | Level: intermediate | ||
| 148 | |||
| 149 | .seealso: BVDot(), BVDotColumn(), BVSetActiveColumns(), BVSetMatrix() | ||
| 150 | @*/ | ||
| 151 | 1439075 | PetscErrorCode BVDotVec(BV X,Vec y,PetscScalar m[]) | |
| 152 | { | ||
| 153 | 1439075 | PetscInt n; | |
| 154 | |||
| 155 |
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1439075 | PetscFunctionBegin; |
| 156 |
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1439075 | PetscValidHeaderSpecific(X,BV_CLASSID,1); |
| 157 |
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1439075 | PetscValidHeaderSpecific(y,VEC_CLASSID,2); |
| 158 |
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1439075 | PetscValidType(X,1); |
| 159 |
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1439075 | BVCheckSizes(X,1); |
| 160 |
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1439075 | BVCheckOp(X,1,dotvec); |
| 161 |
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1439075 | PetscValidType(y,2); |
| 162 |
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1439075 | PetscCheckSameTypeAndComm(X,1,y,2); |
| 163 | |||
| 164 |
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1439075 | PetscCall(VecGetLocalSize(y,&n)); |
| 165 |
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1439075 | PetscCheck(X->n==n,PetscObjectComm((PetscObject)X),PETSC_ERR_ARG_INCOMP,"Mismatching local dimension X %" PetscInt_FMT ", y %" PetscInt_FMT,X->n,n); |
| 166 | |||
| 167 |
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1439075 | PetscCall(PetscLogEventBegin(BV_DotVec,X,y,0,0)); |
| 168 |
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1439075 | PetscUseTypeMethod(X,dotvec,y,m); |
| 169 |
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1439075 | PetscCall(PetscLogEventEnd(BV_DotVec,X,y,0,0)); |
| 170 |
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283639 | PetscFunctionReturn(PETSC_SUCCESS); |
| 171 | } | ||
| 172 | |||
| 173 | /*@ | ||
| 174 | BVDotVecBegin - Starts a split phase dot product computation. | ||
| 175 | |||
| 176 | Input Parameters: | ||
| 177 | + X - basis vectors | ||
| 178 | . y - a vector | ||
| 179 | - m - an array where the result will go (can be NULL) | ||
| 180 | |||
| 181 | Note: | ||
| 182 | Each call to BVDotVecBegin() should be paired with a call to BVDotVecEnd(). | ||
| 183 | |||
| 184 | Level: advanced | ||
| 185 | |||
| 186 | .seealso: BVDotVecEnd(), BVDotVec() | ||
| 187 | @*/ | ||
| 188 | 45330 | PetscErrorCode BVDotVecBegin(BV X,Vec y,PetscScalar *m) | |
| 189 | { | ||
| 190 | 45330 | PetscInt i,n,nv; | |
| 191 | 45330 | PetscSplitReduction *sr; | |
| 192 | 45330 | MPI_Comm comm; | |
| 193 | |||
| 194 |
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45330 | PetscFunctionBegin; |
| 195 |
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45330 | PetscValidHeaderSpecific(X,BV_CLASSID,1); |
| 196 |
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45330 | PetscValidHeaderSpecific(y,VEC_CLASSID,2); |
| 197 |
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45330 | PetscValidType(X,1); |
| 198 |
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45330 | BVCheckSizes(X,1); |
| 199 |
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45330 | PetscValidType(y,2); |
| 200 |
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45330 | PetscCheckSameTypeAndComm(X,1,y,2); |
| 201 | |||
| 202 |
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45330 | PetscCall(VecGetLocalSize(y,&n)); |
| 203 |
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45330 | PetscCheck(X->n==n,PetscObjectComm((PetscObject)X),PETSC_ERR_ARG_INCOMP,"Mismatching local dimension X %" PetscInt_FMT ", y %" PetscInt_FMT,X->n,n); |
| 204 | |||
| 205 |
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45330 | if (X->ops->dotvec_begin) PetscUseTypeMethod(X,dotvec_begin,y,m); |
| 206 | else { | ||
| 207 |
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45310 | BVCheckOp(X,1,dotvec_local); |
| 208 | 45310 | nv = X->k-X->l; | |
| 209 |
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45310 | PetscCall(PetscObjectGetComm((PetscObject)X,&comm)); |
| 210 |
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45310 | PetscCall(PetscSplitReductionGet(comm,&sr)); |
| 211 |
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45310 | PetscCheck(sr->state==STATE_BEGIN,PetscObjectComm((PetscObject)X),PETSC_ERR_ORDER,"Called before all VecxxxEnd() called"); |
| 212 |
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588802 | for (i=0;i<nv;i++) { |
| 213 |
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543492 | if (sr->numopsbegin+i >= sr->maxops) PetscCall(PetscSplitReductionExtend(sr)); |
| 214 | 543492 | sr->reducetype[sr->numopsbegin+i] = PETSC_SR_REDUCE_SUM; | |
| 215 | 543492 | sr->invecs[sr->numopsbegin+i] = (void*)X; | |
| 216 | } | ||
| 217 |
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45310 | PetscCall(PetscLogEventBegin(BV_DotVec,X,y,0,0)); |
| 218 |
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45310 | PetscUseTypeMethod(X,dotvec_local,y,sr->lvalues+sr->numopsbegin); |
| 219 | 45310 | sr->numopsbegin += nv; | |
| 220 |
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45310 | PetscCall(PetscLogEventEnd(BV_DotVec,X,y,0,0)); |
| 221 | } | ||
| 222 |
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8690 | PetscFunctionReturn(PETSC_SUCCESS); |
| 223 | } | ||
| 224 | |||
| 225 | /*@ | ||
| 226 | BVDotVecEnd - Ends a split phase dot product computation. | ||
| 227 | |||
| 228 | Input Parameters: | ||
| 229 | + X - basis vectors | ||
| 230 | . y - a vector | ||
| 231 | - m - an array where the result will go | ||
| 232 | |||
| 233 | Note: | ||
| 234 | Each call to BVDotVecBegin() should be paired with a call to BVDotVecEnd(). | ||
| 235 | |||
| 236 | Level: advanced | ||
| 237 | |||
| 238 | .seealso: BVDotVecBegin(), BVDotVec() | ||
| 239 | @*/ | ||
| 240 | 45330 | PetscErrorCode BVDotVecEnd(BV X,Vec y,PetscScalar *m) | |
| 241 | { | ||
| 242 | 45330 | PetscInt i,nv; | |
| 243 | 45330 | PetscSplitReduction *sr; | |
| 244 | 45330 | MPI_Comm comm; | |
| 245 | |||
| 246 |
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45330 | PetscFunctionBegin; |
| 247 |
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45330 | PetscValidHeaderSpecific(X,BV_CLASSID,1); |
| 248 |
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45330 | PetscValidType(X,1); |
| 249 |
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45330 | BVCheckSizes(X,1); |
| 250 | |||
| 251 |
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45330 | if (X->ops->dotvec_end) PetscUseTypeMethod(X,dotvec_end,y,m); |
| 252 | else { | ||
| 253 | 45310 | nv = X->k-X->l; | |
| 254 |
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45310 | PetscCall(PetscObjectGetComm((PetscObject)X,&comm)); |
| 255 |
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45310 | PetscCall(PetscSplitReductionGet(comm,&sr)); |
| 256 |
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45310 | PetscCall(PetscSplitReductionEnd(sr)); |
| 257 | |||
| 258 |
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45310 | PetscCheck(sr->numopsend<sr->numopsbegin,PetscObjectComm((PetscObject)X),PETSC_ERR_ARG_WRONGSTATE,"Called VecxxxEnd() more times than VecxxxBegin()"); |
| 259 |
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45310 | PetscCheck((void*)X==sr->invecs[sr->numopsend],PetscObjectComm((PetscObject)X),PETSC_ERR_ARG_WRONGSTATE,"Called BVxxxEnd() in a different order or with a different BV than BVxxxBegin()"); |
| 260 |
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45310 | PetscCheck(sr->reducetype[sr->numopsend]==PETSC_SR_REDUCE_SUM,PetscObjectComm((PetscObject)X),PETSC_ERR_ARG_WRONGSTATE,"Wrong type of reduction"); |
| 261 |
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588802 | for (i=0;i<nv;i++) m[i] = sr->gvalues[sr->numopsend++]; |
| 262 | |||
| 263 | /* Finished getting all the results so reset to no outstanding requests */ | ||
| 264 |
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45310 | if (sr->numopsend == sr->numopsbegin) { |
| 265 | 23251 | sr->state = STATE_BEGIN; | |
| 266 | 23251 | sr->numopsend = 0; | |
| 267 | 23251 | sr->numopsbegin = 0; | |
| 268 | } | ||
| 269 | } | ||
| 270 |
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8690 | PetscFunctionReturn(PETSC_SUCCESS); |
| 271 | } | ||
| 272 | |||
| 273 | /*@ | ||
| 274 | BVDotColumn - Computes multiple dot products of a column against all the | ||
| 275 | previous columns of a BV. | ||
| 276 | |||
| 277 | Collective | ||
| 278 | |||
| 279 | Input Parameters: | ||
| 280 | + X - basis vectors | ||
| 281 | - j - the column index | ||
| 282 | |||
| 283 | Output Parameter: | ||
| 284 | . q - an array where the result must be placed | ||
| 285 | |||
| 286 | Notes: | ||
| 287 | This operation is equivalent to BVDotVec() but it uses column j of X | ||
| 288 | rather than taking a Vec as an argument. The number of active columns of | ||
| 289 | X is set to j before the computation, and restored afterwards. | ||
| 290 | If X has leading columns specified, then these columns do not participate | ||
| 291 | in the computation. Therefore, the length of array q must be equal to j | ||
| 292 | minus the number of leading columns. | ||
| 293 | |||
| 294 | Developer Notes: | ||
| 295 | If q is NULL, then the result is written in position nc+l of the internal | ||
| 296 | buffer vector, see BVGetBufferVec(). | ||
| 297 | |||
| 298 | Level: advanced | ||
| 299 | |||
| 300 | .seealso: BVDot(), BVDotVec(), BVSetActiveColumns(), BVSetMatrix() | ||
| 301 | @*/ | ||
| 302 | 93958 | PetscErrorCode BVDotColumn(BV X,PetscInt j,PetscScalar *q) | |
| 303 | { | ||
| 304 | 93958 | PetscInt ksave; | |
| 305 | 93958 | Vec y; | |
| 306 | |||
| 307 |
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93958 | PetscFunctionBegin; |
| 308 |
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93958 | PetscValidHeaderSpecific(X,BV_CLASSID,1); |
| 309 |
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93958 | PetscValidLogicalCollectiveInt(X,j,2); |
| 310 |
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93958 | PetscValidType(X,1); |
| 311 |
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93958 | BVCheckSizes(X,1); |
| 312 |
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93958 | BVCheckOp(X,1,dotvec); |
| 313 | |||
| 314 |
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93958 | PetscCheck(j>=0,PetscObjectComm((PetscObject)X),PETSC_ERR_ARG_OUTOFRANGE,"Index j must be non-negative"); |
| 315 |
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93958 | PetscCheck(j<X->m,PetscObjectComm((PetscObject)X),PETSC_ERR_ARG_OUTOFRANGE,"Index j=%" PetscInt_FMT " but BV only has %" PetscInt_FMT " columns",j,X->m); |
| 316 | |||
| 317 |
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93958 | PetscCall(PetscLogEventBegin(BV_DotVec,X,0,0,0)); |
| 318 | 93958 | ksave = X->k; | |
| 319 | 93958 | X->k = j; | |
| 320 |
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93958 | if (!q && !X->buffer) PetscCall(BVGetBufferVec(X,&X->buffer)); |
| 321 |
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93958 | PetscCall(BVGetColumn(X,j,&y)); |
| 322 |
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93958 | PetscUseTypeMethod(X,dotvec,y,q); |
| 323 |
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93958 | PetscCall(BVRestoreColumn(X,j,&y)); |
| 324 | 93958 | X->k = ksave; | |
| 325 |
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93958 | PetscCall(PetscLogEventEnd(BV_DotVec,X,0,0,0)); |
| 326 |
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19332 | PetscFunctionReturn(PETSC_SUCCESS); |
| 327 | } | ||
| 328 | |||
| 329 | /*@ | ||
| 330 | BVDotColumnBegin - Starts a split phase dot product computation. | ||
| 331 | |||
| 332 | Input Parameters: | ||
| 333 | + X - basis vectors | ||
| 334 | . j - the column index | ||
| 335 | - m - an array where the result will go (can be NULL) | ||
| 336 | |||
| 337 | Note: | ||
| 338 | Each call to BVDotColumnBegin() should be paired with a call to BVDotColumnEnd(). | ||
| 339 | |||
| 340 | Level: advanced | ||
| 341 | |||
| 342 | .seealso: BVDotColumnEnd(), BVDotColumn() | ||
| 343 | @*/ | ||
| 344 | 24724 | PetscErrorCode BVDotColumnBegin(BV X,PetscInt j,PetscScalar *m) | |
| 345 | { | ||
| 346 | 24724 | PetscInt i,nv,ksave; | |
| 347 | 24724 | PetscSplitReduction *sr; | |
| 348 | 24724 | MPI_Comm comm; | |
| 349 | 24724 | Vec y; | |
| 350 | |||
| 351 |
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24724 | PetscFunctionBegin; |
| 352 |
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24724 | PetscValidHeaderSpecific(X,BV_CLASSID,1); |
| 353 |
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24724 | PetscValidLogicalCollectiveInt(X,j,2); |
| 354 |
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24724 | PetscValidType(X,1); |
| 355 |
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24724 | BVCheckSizes(X,1); |
| 356 | |||
| 357 |
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24724 | PetscCheck(j>=0,PetscObjectComm((PetscObject)X),PETSC_ERR_ARG_OUTOFRANGE,"Index j must be non-negative"); |
| 358 |
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24724 | PetscCheck(j<X->m,PetscObjectComm((PetscObject)X),PETSC_ERR_ARG_OUTOFRANGE,"Index j=%" PetscInt_FMT " but BV only has %" PetscInt_FMT " columns",j,X->m); |
| 359 | 24724 | ksave = X->k; | |
| 360 | 24724 | X->k = j; | |
| 361 |
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24724 | PetscCall(BVGetColumn(X,j,&y)); |
| 362 | |||
| 363 |
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24724 | if (X->ops->dotvec_begin) PetscUseTypeMethod(X,dotvec_begin,y,m); |
| 364 | else { | ||
| 365 |
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24704 | BVCheckOp(X,1,dotvec_local); |
| 366 | 24704 | nv = X->k-X->l; | |
| 367 |
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24704 | PetscCall(PetscObjectGetComm((PetscObject)X,&comm)); |
| 368 |
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24704 | PetscCall(PetscSplitReductionGet(comm,&sr)); |
| 369 |
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24704 | PetscCheck(sr->state==STATE_BEGIN,PetscObjectComm((PetscObject)X),PETSC_ERR_ORDER,"Called before all VecxxxEnd() called"); |
| 370 |
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247960 | for (i=0;i<nv;i++) { |
| 371 |
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223256 | if (sr->numopsbegin+i >= sr->maxops) PetscCall(PetscSplitReductionExtend(sr)); |
| 372 | 223256 | sr->reducetype[sr->numopsbegin+i] = PETSC_SR_REDUCE_SUM; | |
| 373 | 223256 | sr->invecs[sr->numopsbegin+i] = (void*)X; | |
| 374 | } | ||
| 375 |
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24704 | PetscCall(PetscLogEventBegin(BV_DotVec,X,0,0,0)); |
| 376 |
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24704 | PetscUseTypeMethod(X,dotvec_local,y,sr->lvalues+sr->numopsbegin); |
| 377 | 24704 | sr->numopsbegin += nv; | |
| 378 |
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24704 | PetscCall(PetscLogEventEnd(BV_DotVec,X,0,0,0)); |
| 379 | } | ||
| 380 |
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24724 | PetscCall(BVRestoreColumn(X,j,&y)); |
| 381 | 24724 | X->k = ksave; | |
| 382 |
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24724 | PetscFunctionReturn(PETSC_SUCCESS); |
| 383 | } | ||
| 384 | |||
| 385 | /*@ | ||
| 386 | BVDotColumnEnd - Ends a split phase dot product computation. | ||
| 387 | |||
| 388 | Input Parameters: | ||
| 389 | + X - basis vectors | ||
| 390 | . j - the column index | ||
| 391 | - m - an array where the result will go | ||
| 392 | |||
| 393 | Notes: | ||
| 394 | Each call to BVDotColumnBegin() should be paired with a call to BVDotColumnEnd(). | ||
| 395 | |||
| 396 | Level: advanced | ||
| 397 | |||
| 398 | .seealso: BVDotColumnBegin(), BVDotColumn() | ||
| 399 | @*/ | ||
| 400 | 24724 | PetscErrorCode BVDotColumnEnd(BV X,PetscInt j,PetscScalar *m) | |
| 401 | { | ||
| 402 | 24724 | PetscInt i,nv,ksave; | |
| 403 | 24724 | PetscSplitReduction *sr; | |
| 404 | 24724 | MPI_Comm comm; | |
| 405 | 24724 | Vec y; | |
| 406 | |||
| 407 |
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24724 | PetscFunctionBegin; |
| 408 |
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24724 | PetscValidHeaderSpecific(X,BV_CLASSID,1); |
| 409 |
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24724 | PetscValidLogicalCollectiveInt(X,j,2); |
| 410 |
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24724 | PetscValidType(X,1); |
| 411 |
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24724 | BVCheckSizes(X,1); |
| 412 | |||
| 413 |
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24724 | PetscCheck(j>=0,PetscObjectComm((PetscObject)X),PETSC_ERR_ARG_OUTOFRANGE,"Index j must be non-negative"); |
| 414 |
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24724 | PetscCheck(j<X->m,PetscObjectComm((PetscObject)X),PETSC_ERR_ARG_OUTOFRANGE,"Index j=%" PetscInt_FMT " but BV only has %" PetscInt_FMT " columns",j,X->m); |
| 415 | 24724 | ksave = X->k; | |
| 416 | 24724 | X->k = j; | |
| 417 | |||
| 418 |
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24724 | if (X->ops->dotvec_end) { |
| 419 |
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20 | PetscCall(BVGetColumn(X,j,&y)); |
| 420 |
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20 | PetscUseTypeMethod(X,dotvec_end,y,m); |
| 421 |
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20 | PetscCall(BVRestoreColumn(X,j,&y)); |
| 422 | } else { | ||
| 423 | 24704 | nv = X->k-X->l; | |
| 424 |
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24704 | PetscCall(PetscObjectGetComm((PetscObject)X,&comm)); |
| 425 |
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24704 | PetscCall(PetscSplitReductionGet(comm,&sr)); |
| 426 |
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24704 | PetscCall(PetscSplitReductionEnd(sr)); |
| 427 | |||
| 428 |
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24704 | PetscCheck(sr->numopsend<sr->numopsbegin,PetscObjectComm((PetscObject)X),PETSC_ERR_ARG_WRONGSTATE,"Called VecxxxEnd() more times than VecxxxBegin()"); |
| 429 |
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24704 | PetscCheck((void*)X==sr->invecs[sr->numopsend],PetscObjectComm((PetscObject)X),PETSC_ERR_ARG_WRONGSTATE,"Called BVxxxEnd() in a different order or with a different BV than BVxxxBegin()"); |
| 430 |
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24704 | PetscCheck(sr->reducetype[sr->numopsend]==PETSC_SR_REDUCE_SUM,PetscObjectComm((PetscObject)X),PETSC_ERR_ARG_WRONGSTATE,"Wrong type of reduction"); |
| 431 |
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247960 | for (i=0;i<nv;i++) m[i] = sr->gvalues[sr->numopsend++]; |
| 432 | |||
| 433 | /* Finished getting all the results so reset to no outstanding requests */ | ||
| 434 |
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24704 | if (sr->numopsend == sr->numopsbegin) { |
| 435 | 7754 | sr->state = STATE_BEGIN; | |
| 436 | 7754 | sr->numopsend = 0; | |
| 437 | 7754 | sr->numopsbegin = 0; | |
| 438 | } | ||
| 439 | } | ||
| 440 | 24724 | X->k = ksave; | |
| 441 |
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24724 | PetscFunctionReturn(PETSC_SUCCESS); |
| 442 | } | ||
| 443 | |||
| 444 | 211548 | static inline PetscErrorCode BVNorm_Private(BV bv,Vec z,NormType type,PetscReal *val) | |
| 445 | { | ||
| 446 | 211548 | PetscScalar p; | |
| 447 | |||
| 448 |
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211548 | PetscFunctionBegin; |
| 449 |
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211548 | PetscCall(BV_IPMatMult(bv,z)); |
| 450 |
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211548 | PetscCall(VecDot(bv->Bx,z,&p)); |
| 451 |
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211548 | PetscCall(BV_SafeSqrt(bv,p,val)); |
| 452 |
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43013 | PetscFunctionReturn(PETSC_SUCCESS); |
| 453 | } | ||
| 454 | |||
| 455 | 5174 | static inline PetscErrorCode BVNorm_Begin_Private(BV bv,Vec z,NormType type,PetscReal *val) | |
| 456 | { | ||
| 457 | 5174 | PetscScalar p; | |
| 458 | |||
| 459 |
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5174 | PetscFunctionBegin; |
| 460 |
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5174 | PetscCall(BV_IPMatMult(bv,z)); |
| 461 |
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5174 | PetscCall(VecDotBegin(bv->Bx,z,&p)); |
| 462 |
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846 | PetscFunctionReturn(PETSC_SUCCESS); |
| 463 | } | ||
| 464 | |||
| 465 | 5174 | static inline PetscErrorCode BVNorm_End_Private(BV bv,Vec z,NormType type,PetscReal *val) | |
| 466 | { | ||
| 467 | 5174 | PetscScalar p; | |
| 468 | |||
| 469 |
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5174 | PetscFunctionBegin; |
| 470 |
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5174 | PetscCall(VecDotEnd(bv->Bx,z,&p)); |
| 471 |
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5174 | PetscCall(BV_SafeSqrt(bv,p,val)); |
| 472 |
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846 | PetscFunctionReturn(PETSC_SUCCESS); |
| 473 | } | ||
| 474 | |||
| 475 | /*@ | ||
| 476 | BVNorm - Computes the matrix norm of the BV. | ||
| 477 | |||
| 478 | Collective | ||
| 479 | |||
| 480 | Input Parameters: | ||
| 481 | + bv - basis vectors | ||
| 482 | - type - the norm type | ||
| 483 | |||
| 484 | Output Parameter: | ||
| 485 | . val - the norm | ||
| 486 | |||
| 487 | Notes: | ||
| 488 | All active columns (except the leading ones) are considered as a matrix. | ||
| 489 | The allowed norms are NORM_1, NORM_FROBENIUS, and NORM_INFINITY. | ||
| 490 | |||
| 491 | This operation fails if a non-standard inner product has been | ||
| 492 | specified with BVSetMatrix(). | ||
| 493 | |||
| 494 | Level: intermediate | ||
| 495 | |||
| 496 | .seealso: BVNormVec(), BVNormColumn(), BVNormalize(), BVSetActiveColumns(), BVSetMatrix() | ||
| 497 | @*/ | ||
| 498 | 3374 | PetscErrorCode BVNorm(BV bv,NormType type,PetscReal *val) | |
| 499 | { | ||
| 500 |
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3374 | PetscFunctionBegin; |
| 501 |
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3374 | PetscValidHeaderSpecific(bv,BV_CLASSID,1); |
| 502 |
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3374 | PetscValidLogicalCollectiveEnum(bv,type,2); |
| 503 |
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3374 | PetscAssertPointer(val,3); |
| 504 |
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3374 | PetscValidType(bv,1); |
| 505 |
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3374 | BVCheckSizes(bv,1); |
| 506 | |||
| 507 |
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3374 | PetscCheck(type!=NORM_2 && type!=NORM_1_AND_2,PetscObjectComm((PetscObject)bv),PETSC_ERR_SUP,"Requested norm not available"); |
| 508 |
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3374 | PetscCheck(!bv->matrix,PetscObjectComm((PetscObject)bv),PETSC_ERR_SUP,"Matrix norm not available for non-standard inner product"); |
| 509 | |||
| 510 |
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3374 | PetscCall(PetscLogEventBegin(BV_Norm,bv,0,0,0)); |
| 511 |
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|
3374 | PetscUseTypeMethod(bv,norm,-1,type,val); |
| 512 |
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3374 | PetscCall(PetscLogEventEnd(BV_Norm,bv,0,0,0)); |
| 513 |
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|
566 | PetscFunctionReturn(PETSC_SUCCESS); |
| 514 | } | ||
| 515 | |||
| 516 | /*@ | ||
| 517 | BVNormVec - Computes the norm of a given vector. | ||
| 518 | |||
| 519 | Collective | ||
| 520 | |||
| 521 | Input Parameters: | ||
| 522 | + bv - basis vectors | ||
| 523 | . v - the vector | ||
| 524 | - type - the norm type | ||
| 525 | |||
| 526 | Output Parameter: | ||
| 527 | . val - the norm | ||
| 528 | |||
| 529 | Notes: | ||
| 530 | This is the analogue of BVNormColumn() but for a vector that is not in the BV. | ||
| 531 | If a non-standard inner product has been specified with BVSetMatrix(), | ||
| 532 | then the returned value is sqrt(v'*B*v), where B is the inner product | ||
| 533 | matrix (argument 'type' is ignored). Otherwise, VecNorm() is called. | ||
| 534 | |||
| 535 | Level: developer | ||
| 536 | |||
| 537 | .seealso: BVNorm(), BVNormColumn(), BVSetMatrix() | ||
| 538 | @*/ | ||
| 539 | 800678 | PetscErrorCode BVNormVec(BV bv,Vec v,NormType type,PetscReal *val) | |
| 540 | { | ||
| 541 | 800678 | PetscInt n; | |
| 542 | |||
| 543 |
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800678 | PetscFunctionBegin; |
| 544 |
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800678 | PetscValidHeaderSpecific(bv,BV_CLASSID,1); |
| 545 |
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800678 | PetscValidHeaderSpecific(v,VEC_CLASSID,2); |
| 546 |
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800678 | PetscValidLogicalCollectiveEnum(bv,type,3); |
| 547 |
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800678 | PetscAssertPointer(val,4); |
| 548 |
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800678 | PetscValidType(bv,1); |
| 549 |
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800678 | BVCheckSizes(bv,1); |
| 550 |
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800678 | PetscValidType(v,2); |
| 551 |
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800678 | PetscCheckSameComm(bv,1,v,2); |
| 552 | |||
| 553 |
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800678 | PetscCheck(type!=NORM_1_AND_2 || bv->matrix,PetscObjectComm((PetscObject)bv),PETSC_ERR_SUP,"Requested norm not available"); |
| 554 | |||
| 555 |
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800678 | PetscCall(PetscLogEventBegin(BV_NormVec,bv,0,0,0)); |
| 556 |
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800678 | if (bv->matrix) { /* non-standard inner product */ |
| 557 |
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67300 | PetscCall(VecGetLocalSize(v,&n)); |
| 558 |
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67300 | PetscCheck(bv->n==n,PetscObjectComm((PetscObject)bv),PETSC_ERR_ARG_INCOMP,"Mismatching local dimension bv %" PetscInt_FMT ", v %" PetscInt_FMT,bv->n,n); |
| 559 |
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67300 | PetscCall(BVNorm_Private(bv,v,type,val)); |
| 560 |
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733378 | } else PetscCall(VecNorm(v,type,val)); |
| 561 |
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800678 | PetscCall(PetscLogEventEnd(BV_NormVec,bv,0,0,0)); |
| 562 |
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158931 | PetscFunctionReturn(PETSC_SUCCESS); |
| 563 | } | ||
| 564 | |||
| 565 | /*@ | ||
| 566 | BVNormVecBegin - Starts a split phase norm computation. | ||
| 567 | |||
| 568 | Input Parameters: | ||
| 569 | + bv - basis vectors | ||
| 570 | . v - the vector | ||
| 571 | . type - the norm type | ||
| 572 | - val - the norm | ||
| 573 | |||
| 574 | Note: | ||
| 575 | Each call to BVNormVecBegin() should be paired with a call to BVNormVecEnd(). | ||
| 576 | |||
| 577 | Level: advanced | ||
| 578 | |||
| 579 | .seealso: BVNormVecEnd(), BVNormVec() | ||
| 580 | @*/ | ||
| 581 | 6909 | PetscErrorCode BVNormVecBegin(BV bv,Vec v,NormType type,PetscReal *val) | |
| 582 | { | ||
| 583 | 6909 | PetscInt n; | |
| 584 | |||
| 585 |
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6909 | PetscFunctionBegin; |
| 586 |
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6909 | PetscValidHeaderSpecific(bv,BV_CLASSID,1); |
| 587 |
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6909 | PetscValidHeaderSpecific(v,VEC_CLASSID,2); |
| 588 |
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6909 | PetscValidLogicalCollectiveEnum(bv,type,3); |
| 589 |
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6909 | PetscAssertPointer(val,4); |
| 590 |
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6909 | PetscValidType(bv,1); |
| 591 |
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6909 | BVCheckSizes(bv,1); |
| 592 |
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6909 | PetscValidType(v,2); |
| 593 |
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6909 | PetscCheckSameTypeAndComm(bv,1,v,2); |
| 594 | |||
| 595 |
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6909 | PetscCheck(type!=NORM_1_AND_2 || bv->matrix,PetscObjectComm((PetscObject)bv),PETSC_ERR_SUP,"Requested norm not available"); |
| 596 | |||
| 597 |
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6909 | PetscCall(PetscLogEventBegin(BV_NormVec,bv,0,0,0)); |
| 598 |
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6909 | if (bv->matrix) { /* non-standard inner product */ |
| 599 |
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218 | PetscCall(VecGetLocalSize(v,&n)); |
| 600 |
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218 | PetscCheck(bv->n==n,PetscObjectComm((PetscObject)bv),PETSC_ERR_ARG_INCOMP,"Mismatching local dimension bv %" PetscInt_FMT ", v %" PetscInt_FMT,bv->n,n); |
| 601 |
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218 | PetscCall(BVNorm_Begin_Private(bv,v,type,val)); |
| 602 |
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6691 | } else PetscCall(VecNormBegin(v,type,val)); |
| 603 |
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6909 | PetscCall(PetscLogEventEnd(BV_NormVec,bv,0,0,0)); |
| 604 |
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1377 | PetscFunctionReturn(PETSC_SUCCESS); |
| 605 | } | ||
| 606 | |||
| 607 | /*@ | ||
| 608 | BVNormVecEnd - Ends a split phase norm computation. | ||
| 609 | |||
| 610 | Input Parameters: | ||
| 611 | + bv - basis vectors | ||
| 612 | . v - the vector | ||
| 613 | . type - the norm type | ||
| 614 | - val - the norm | ||
| 615 | |||
| 616 | Note: | ||
| 617 | Each call to BVNormVecBegin() should be paired with a call to BVNormVecEnd(). | ||
| 618 | |||
| 619 | Level: advanced | ||
| 620 | |||
| 621 | .seealso: BVNormVecBegin(), BVNormVec() | ||
| 622 | @*/ | ||
| 623 | 6909 | PetscErrorCode BVNormVecEnd(BV bv,Vec v,NormType type,PetscReal *val) | |
| 624 | { | ||
| 625 |
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6909 | PetscFunctionBegin; |
| 626 |
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6909 | PetscValidHeaderSpecific(bv,BV_CLASSID,1); |
| 627 |
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6909 | PetscValidLogicalCollectiveEnum(bv,type,3); |
| 628 |
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6909 | PetscAssertPointer(val,4); |
| 629 |
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6909 | PetscValidType(bv,1); |
| 630 |
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6909 | BVCheckSizes(bv,1); |
| 631 | |||
| 632 |
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6909 | PetscCheck(type!=NORM_1_AND_2,PetscObjectComm((PetscObject)bv),PETSC_ERR_SUP,"Requested norm not available"); |
| 633 | |||
| 634 |
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6909 | if (bv->matrix) PetscCall(BVNorm_End_Private(bv,v,type,val)); /* non-standard inner product */ |
| 635 |
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6691 | else PetscCall(VecNormEnd(v,type,val)); |
| 636 |
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|
1377 | PetscFunctionReturn(PETSC_SUCCESS); |
| 637 | } | ||
| 638 | |||
| 639 | /*@ | ||
| 640 | BVNormColumn - Computes the vector norm of a selected column. | ||
| 641 | |||
| 642 | Collective | ||
| 643 | |||
| 644 | Input Parameters: | ||
| 645 | + bv - basis vectors | ||
| 646 | . j - column number to be used | ||
| 647 | - type - the norm type | ||
| 648 | |||
| 649 | Output Parameter: | ||
| 650 | . val - the norm | ||
| 651 | |||
| 652 | Notes: | ||
| 653 | The norm of V[j] is computed (NORM_1, NORM_2, or NORM_INFINITY). | ||
| 654 | If a non-standard inner product has been specified with BVSetMatrix(), | ||
| 655 | then the returned value is sqrt(V[j]'*B*V[j]), | ||
| 656 | where B is the inner product matrix (argument 'type' is ignored). | ||
| 657 | |||
| 658 | Level: intermediate | ||
| 659 | |||
| 660 | .seealso: BVNorm(), BVNormVec(), BVNormalize(), BVSetActiveColumns(), BVSetMatrix() | ||
| 661 | @*/ | ||
| 662 | 219790 | PetscErrorCode BVNormColumn(BV bv,PetscInt j,NormType type,PetscReal *val) | |
| 663 | { | ||
| 664 | 219790 | Vec z; | |
| 665 | |||
| 666 |
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219790 | PetscFunctionBegin; |
| 667 |
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219790 | PetscValidHeaderSpecific(bv,BV_CLASSID,1); |
| 668 |
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219790 | PetscValidLogicalCollectiveInt(bv,j,2); |
| 669 |
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219790 | PetscValidLogicalCollectiveEnum(bv,type,3); |
| 670 |
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219790 | PetscAssertPointer(val,4); |
| 671 |
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219790 | PetscValidType(bv,1); |
| 672 |
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219790 | BVCheckSizes(bv,1); |
| 673 | |||
| 674 |
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219790 | PetscCheck(j>=0 && j<bv->m,PetscObjectComm((PetscObject)bv),PETSC_ERR_ARG_OUTOFRANGE,"Argument j has wrong value %" PetscInt_FMT ", the number of columns is %" PetscInt_FMT,j,bv->m); |
| 675 |
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219790 | PetscCheck(type!=NORM_1_AND_2 || bv->matrix,PetscObjectComm((PetscObject)bv),PETSC_ERR_SUP,"Requested norm not available"); |
| 676 | |||
| 677 |
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219790 | PetscCall(PetscLogEventBegin(BV_NormVec,bv,0,0,0)); |
| 678 |
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219790 | if (bv->matrix) { /* non-standard inner product */ |
| 679 |
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144248 | PetscCall(BVGetColumn(bv,j,&z)); |
| 680 |
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144248 | PetscCall(BVNorm_Private(bv,z,type,val)); |
| 681 |
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144248 | PetscCall(BVRestoreColumn(bv,j,&z)); |
| 682 |
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75542 | } else PetscUseTypeMethod(bv,norm,j,type,val); |
| 683 |
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219790 | PetscCall(PetscLogEventEnd(BV_NormVec,bv,0,0,0)); |
| 684 |
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43600 | PetscFunctionReturn(PETSC_SUCCESS); |
| 685 | } | ||
| 686 | |||
| 687 | /*@ | ||
| 688 | BVNormColumnBegin - Starts a split phase norm computation. | ||
| 689 | |||
| 690 | Input Parameters: | ||
| 691 | + bv - basis vectors | ||
| 692 | . j - column number to be used | ||
| 693 | . type - the norm type | ||
| 694 | - val - the norm | ||
| 695 | |||
| 696 | Note: | ||
| 697 | Each call to BVNormColumnBegin() should be paired with a call to BVNormColumnEnd(). | ||
| 698 | |||
| 699 | Level: advanced | ||
| 700 | |||
| 701 | .seealso: BVNormColumnEnd(), BVNormColumn() | ||
| 702 | @*/ | ||
| 703 | 34821 | PetscErrorCode BVNormColumnBegin(BV bv,PetscInt j,NormType type,PetscReal *val) | |
| 704 | { | ||
| 705 | 34821 | PetscSplitReduction *sr; | |
| 706 | 34821 | PetscReal lresult; | |
| 707 | 34821 | MPI_Comm comm; | |
| 708 | 34821 | Vec z; | |
| 709 | |||
| 710 |
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34821 | PetscFunctionBegin; |
| 711 |
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34821 | PetscValidHeaderSpecific(bv,BV_CLASSID,1); |
| 712 |
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34821 | PetscValidLogicalCollectiveInt(bv,j,2); |
| 713 |
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34821 | PetscValidLogicalCollectiveEnum(bv,type,3); |
| 714 |
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34821 | PetscAssertPointer(val,4); |
| 715 |
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34821 | PetscValidType(bv,1); |
| 716 |
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34821 | BVCheckSizes(bv,1); |
| 717 | |||
| 718 |
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34821 | PetscCheck(j>=0 && j<bv->m,PetscObjectComm((PetscObject)bv),PETSC_ERR_ARG_OUTOFRANGE,"Argument j has wrong value %" PetscInt_FMT ", the number of columns is %" PetscInt_FMT,j,bv->m); |
| 719 |
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34821 | PetscCheck(type!=NORM_1_AND_2 || bv->matrix,PetscObjectComm((PetscObject)bv),PETSC_ERR_SUP,"Requested norm not available"); |
| 720 | |||
| 721 |
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34821 | PetscCall(PetscLogEventBegin(BV_NormVec,bv,0,0,0)); |
| 722 |
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34821 | PetscCall(BVGetColumn(bv,j,&z)); |
| 723 |
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34821 | if (bv->matrix) PetscCall(BVNorm_Begin_Private(bv,z,type,val)); /* non-standard inner product */ |
| 724 |
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29865 | else if (bv->ops->norm_begin) PetscUseTypeMethod(bv,norm_begin,j,type,val); |
| 725 | else { | ||
| 726 |
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29845 | BVCheckOp(bv,1,norm_local); |
| 727 |
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29845 | PetscCall(PetscObjectGetComm((PetscObject)z,&comm)); |
| 728 |
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29845 | PetscCall(PetscSplitReductionGet(comm,&sr)); |
| 729 |
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29845 | PetscCheck(sr->state==STATE_BEGIN,PetscObjectComm((PetscObject)bv),PETSC_ERR_ORDER,"Called before all VecxxxEnd() called"); |
| 730 |
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29845 | if (sr->numopsbegin >= sr->maxops) PetscCall(PetscSplitReductionExtend(sr)); |
| 731 | 29845 | sr->invecs[sr->numopsbegin] = (void*)bv; | |
| 732 |
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29845 | PetscUseTypeMethod(bv,norm_local,j,type,&lresult); |
| 733 |
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29845 | if (type == NORM_2) lresult = lresult*lresult; |
| 734 |
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29845 | if (type == NORM_MAX) sr->reducetype[sr->numopsbegin] = PETSC_SR_REDUCE_MAX; |
| 735 | 29845 | else sr->reducetype[sr->numopsbegin] = PETSC_SR_REDUCE_SUM; | |
| 736 | 29845 | sr->lvalues[sr->numopsbegin++] = lresult; | |
| 737 | } | ||
| 738 |
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34821 | PetscCall(BVRestoreColumn(bv,j,&z)); |
| 739 |
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34821 | PetscCall(PetscLogEventEnd(BV_NormVec,bv,0,0,0)); |
| 740 |
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6233 | PetscFunctionReturn(PETSC_SUCCESS); |
| 741 | } | ||
| 742 | |||
| 743 | /*@ | ||
| 744 | BVNormColumnEnd - Ends a split phase norm computation. | ||
| 745 | |||
| 746 | Input Parameters: | ||
| 747 | + bv - basis vectors | ||
| 748 | . j - column number to be used | ||
| 749 | . type - the norm type | ||
| 750 | - val - the norm | ||
| 751 | |||
| 752 | Note: | ||
| 753 | Each call to BVNormColumnBegin() should be paired with a call to BVNormColumnEnd(). | ||
| 754 | |||
| 755 | Level: advanced | ||
| 756 | |||
| 757 | .seealso: BVNormColumnBegin(), BVNormColumn() | ||
| 758 | @*/ | ||
| 759 | 34821 | PetscErrorCode BVNormColumnEnd(BV bv,PetscInt j,NormType type,PetscReal *val) | |
| 760 | { | ||
| 761 | 34821 | PetscSplitReduction *sr; | |
| 762 | 34821 | MPI_Comm comm; | |
| 763 | 34821 | Vec z; | |
| 764 | |||
| 765 |
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34821 | PetscFunctionBegin; |
| 766 |
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34821 | PetscValidHeaderSpecific(bv,BV_CLASSID,1); |
| 767 |
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34821 | PetscValidLogicalCollectiveInt(bv,j,2); |
| 768 |
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34821 | PetscValidLogicalCollectiveEnum(bv,type,3); |
| 769 |
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34821 | PetscAssertPointer(val,4); |
| 770 |
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34821 | PetscValidType(bv,1); |
| 771 |
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34821 | BVCheckSizes(bv,1); |
| 772 | |||
| 773 |
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34821 | PetscCheck(type!=NORM_1_AND_2,PetscObjectComm((PetscObject)bv),PETSC_ERR_SUP,"Requested norm not available"); |
| 774 | |||
| 775 |
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34821 | PetscCall(BVGetColumn(bv,j,&z)); |
| 776 |
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34821 | if (bv->matrix) PetscCall(BVNorm_End_Private(bv,z,type,val)); /* non-standard inner product */ |
| 777 |
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29865 | else if (bv->ops->norm_end) PetscUseTypeMethod(bv,norm_end,j,type,val); |
| 778 | else { | ||
| 779 |
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29845 | PetscCall(PetscObjectGetComm((PetscObject)z,&comm)); |
| 780 |
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29845 | PetscCall(PetscSplitReductionGet(comm,&sr)); |
| 781 |
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29845 | PetscCall(PetscSplitReductionEnd(sr)); |
| 782 | |||
| 783 |
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29845 | PetscCheck(sr->numopsend<sr->numopsbegin,PetscObjectComm((PetscObject)bv),PETSC_ERR_ARG_WRONGSTATE,"Called VecxxxEnd() more times then VecxxxBegin()"); |
| 784 |
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29845 | PetscCheck((void*)bv==sr->invecs[sr->numopsend],PetscObjectComm((PetscObject)bv),PETSC_ERR_ARG_WRONGSTATE,"Called VecxxxEnd() in a different order or with a different vector than VecxxxBegin()"); |
| 785 |
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29845 | PetscCheck(sr->reducetype[sr->numopsend]==PETSC_SR_REDUCE_MAX || type!=NORM_MAX,PetscObjectComm((PetscObject)bv),PETSC_ERR_ARG_WRONGSTATE,"Called BVNormEnd(,NORM_MAX,) on a reduction started with VecDotBegin() or NORM_1 or NORM_2"); |
| 786 | 29845 | *val = PetscRealPart(sr->gvalues[sr->numopsend++]); | |
| 787 |
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29845 | if (type == NORM_2) *val = PetscSqrtReal(*val); |
| 788 |
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29845 | if (sr->numopsend == sr->numopsbegin) { |
| 789 | 1630 | sr->state = STATE_BEGIN; | |
| 790 | 1630 | sr->numopsend = 0; | |
| 791 | 1630 | sr->numopsbegin = 0; | |
| 792 | } | ||
| 793 | } | ||
| 794 |
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34821 | PetscCall(BVRestoreColumn(bv,j,&z)); |
| 795 |
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|
6233 | PetscFunctionReturn(PETSC_SUCCESS); |
| 796 | } | ||
| 797 | |||
| 798 | /*@ | ||
| 799 | BVNormalize - Normalize all columns (starting from the leading ones). | ||
| 800 | |||
| 801 | Collective | ||
| 802 | |||
| 803 | Input Parameters: | ||
| 804 | + bv - basis vectors | ||
| 805 | - eigi - (optional) imaginary parts of eigenvalues | ||
| 806 | |||
| 807 | Notes: | ||
| 808 | On output, all columns will have unit norm. The normalization is done with | ||
| 809 | respect to the 2-norm, or to the B-norm if a non-standard inner product has | ||
| 810 | been specified with BVSetMatrix(), see BVNormColumn(). | ||
| 811 | |||
| 812 | If the optional argument eigi is passed (taken into account only in real | ||
| 813 | scalars) it is interpreted as the imaginary parts of the eigenvalues and | ||
| 814 | the BV is supposed to contain the corresponding eigenvectors. Suppose the | ||
| 815 | first three values are eigi = { 0, alpha, -alpha }, then the first column | ||
| 816 | is normalized as usual, but the second and third ones are normalized assuming | ||
| 817 | that they contain the real and imaginary parts of a complex conjugate pair of | ||
| 818 | eigenvectors. | ||
| 819 | |||
| 820 | If eigi is passed, the inner-product matrix is ignored. | ||
| 821 | |||
| 822 | If there are leading columns, they are not modified (are assumed to be already | ||
| 823 | normalized). | ||
| 824 | |||
| 825 | Level: intermediate | ||
| 826 | |||
| 827 | .seealso: BVNormColumn() | ||
| 828 | @*/ | ||
| 829 | 39262 | PetscErrorCode BVNormalize(BV bv,PetscScalar *eigi) | |
| 830 | { | ||
| 831 | 39262 | PetscReal norm; | |
| 832 | 39262 | PetscInt i; | |
| 833 | |||
| 834 |
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39262 | PetscFunctionBegin; |
| 835 |
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39262 | PetscValidHeaderSpecific(bv,BV_CLASSID,1); |
| 836 |
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39262 | PetscValidType(bv,1); |
| 837 |
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39262 | BVCheckSizes(bv,1); |
| 838 | |||
| 839 |
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39262 | PetscCall(PetscLogEventBegin(BV_Normalize,bv,0,0,0)); |
| 840 |
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39262 | if (bv->matrix && !eigi) { |
| 841 |
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12683 | for (i=bv->l;i<bv->k;i++) { |
| 842 |
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11861 | PetscCall(BVNormColumn(bv,i,NORM_2,&norm)); |
| 843 |
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11861 | PetscCall(BVScaleColumn(bv,i,1.0/norm)); |
| 844 | } | ||
| 845 |
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38440 | } else PetscTryTypeMethod(bv,normalize,eigi); |
| 846 |
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39262 | PetscCall(PetscLogEventEnd(BV_Normalize,bv,0,0,0)); |
| 847 |
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39262 | PetscCall(PetscObjectStateIncrease((PetscObject)bv)); |
| 848 |
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39262 | PetscFunctionReturn(PETSC_SUCCESS); |
| 849 | } | ||
| 850 | |||
| 851 | /* | ||
| 852 | Compute Y^H*A*X: right part column by column (with MatMult) and bottom | ||
| 853 | part row by row (with MatMultHermitianTranspose); result placed in marray[*,ldm] | ||
| 854 | */ | ||
| 855 | 180 | static inline PetscErrorCode BVMatProject_Vec(BV X,Mat A,BV Y,PetscScalar *marray,PetscInt ldm,PetscBool symm) | |
| 856 | { | ||
| 857 | 180 | PetscInt i,j,lx,ly,kx,ky,ulim; | |
| 858 | 180 | Vec z,f; | |
| 859 | |||
| 860 |
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180 | PetscFunctionBegin; |
| 861 | 180 | lx = X->l; kx = X->k; | |
| 862 | 180 | ly = Y->l; ky = Y->k; | |
| 863 |
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180 | PetscCall(BVCreateVec(X,&f)); |
| 864 |
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36 | BVCheckOp(Y,3,dotvec); |
| 865 |
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720 | for (j=lx;j<kx;j++) { |
| 866 |
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540 | PetscCall(BVGetColumn(X,j,&z)); |
| 867 |
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540 | PetscCall(MatMult(A,z,f)); |
| 868 |
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540 | PetscCall(BVRestoreColumn(X,j,&z)); |
| 869 | 540 | ulim = PetscMin(ly+(j-lx)+1,ky); | |
| 870 | 540 | Y->l = 0; Y->k = ulim; | |
| 871 |
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540 | PetscUseTypeMethod(Y,dotvec,f,marray+j*ldm); |
| 872 |
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540 | if (symm) { |
| 873 |
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900 | for (i=0;i<j;i++) marray[j+i*ldm] = PetscConj(marray[i+j*ldm]); |
| 874 | } | ||
| 875 | } | ||
| 876 |
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180 | if (!symm) { |
| 877 |
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120 | BVCheckOp(X,1,dotvec); |
| 878 |
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120 | PetscCall(BV_AllocateCoeffs(Y)); |
| 879 |
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480 | for (j=ly;j<ky;j++) { |
| 880 |
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360 | PetscCall(BVGetColumn(Y,j,&z)); |
| 881 |
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360 | PetscCall(MatMultHermitianTranspose(A,z,f)); |
| 882 |
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360 | PetscCall(BVRestoreColumn(Y,j,&z)); |
| 883 | 360 | ulim = PetscMin(lx+(j-ly),kx); | |
| 884 | 360 | X->l = 0; X->k = ulim; | |
| 885 |
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360 | PetscUseTypeMethod(X,dotvec,f,Y->h); |
| 886 |
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1800 | for (i=0;i<ulim;i++) marray[j+i*ldm] = PetscConj(Y->h[i]); |
| 887 | } | ||
| 888 | } | ||
| 889 |
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180 | PetscCall(VecDestroy(&f)); |
| 890 | 180 | X->l = lx; X->k = kx; | |
| 891 | 180 | Y->l = ly; Y->k = ky; | |
| 892 |
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180 | PetscFunctionReturn(PETSC_SUCCESS); |
| 893 | } | ||
| 894 | |||
| 895 | /* | ||
| 896 | Compute Y^H*A*X= [ -- | Y0'*W1 ] | ||
| 897 | [ Y1'*W0 | Y1'*W1 ] | ||
| 898 | Allocates auxiliary BV to store the result of A*X, then one BVDot | ||
| 899 | call for top-right part and another one for bottom part; | ||
| 900 | result placed in marray[*,ldm] | ||
| 901 | */ | ||
| 902 | 21977 | static inline PetscErrorCode BVMatProject_MatMult(BV X,Mat A,BV Y,PetscScalar *marray,PetscInt ldm) | |
| 903 | { | ||
| 904 | 21977 | PetscInt j,lx,ly,kx,ky; | |
| 905 | 21977 | const PetscScalar *harray; | |
| 906 | 21977 | Mat H; | |
| 907 | 21977 | BV W; | |
| 908 | |||
| 909 |
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21977 | PetscFunctionBegin; |
| 910 | 21977 | lx = X->l; kx = X->k; | |
| 911 | 21977 | ly = Y->l; ky = Y->k; | |
| 912 |
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21977 | PetscCall(BVDuplicate(X,&W)); |
| 913 | 21977 | X->l = 0; X->k = kx; | |
| 914 | 21977 | W->l = 0; W->k = kx; | |
| 915 |
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21977 | PetscCall(BVMatMult(X,A,W)); |
| 916 | |||
| 917 | /* top-right part, Y0'*AX1 */ | ||
| 918 |
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21977 | if (ly>0 && lx<kx) { |
| 919 | ✗ | PetscCall(MatCreateSeqDense(PETSC_COMM_SELF,ly,kx,NULL,&H)); | |
| 920 | ✗ | W->l = lx; W->k = kx; | |
| 921 | ✗ | Y->l = 0; Y->k = ly; | |
| 922 | ✗ | PetscCall(BVDot(W,Y,H)); | |
| 923 | ✗ | PetscCall(MatDenseGetArrayRead(H,&harray)); | |
| 924 | ✗ | for (j=lx;j<kx;j++) PetscCall(PetscArraycpy(marray+j*ldm,harray+j*ly,ly)); | |
| 925 | ✗ | PetscCall(MatDenseRestoreArrayRead(H,&harray)); | |
| 926 | ✗ | PetscCall(MatDestroy(&H)); | |
| 927 | } | ||
| 928 | |||
| 929 | /* bottom part, Y1'*AX */ | ||
| 930 |
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21977 | if (kx>0 && ly<ky) { |
| 931 |
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21977 | PetscCall(MatCreateSeqDense(PETSC_COMM_SELF,ky,kx,NULL,&H)); |
| 932 | 21977 | W->l = 0; W->k = kx; | |
| 933 | 21977 | Y->l = ly; Y->k = ky; | |
| 934 |
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21977 | PetscCall(BVDot(W,Y,H)); |
| 935 |
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21977 | PetscCall(MatDenseGetArrayRead(H,&harray)); |
| 936 |
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|
238586 | for (j=0;j<kx;j++) PetscCall(PetscArraycpy(marray+j*ldm+ly,harray+j*ky+ly,ky-ly)); |
| 937 |
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21977 | PetscCall(MatDenseRestoreArrayRead(H,&harray)); |
| 938 |
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21977 | PetscCall(MatDestroy(&H)); |
| 939 | } | ||
| 940 |
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21977 | PetscCall(BVDestroy(&W)); |
| 941 | 21977 | X->l = lx; X->k = kx; | |
| 942 | 21977 | Y->l = ly; Y->k = ky; | |
| 943 |
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21977 | PetscFunctionReturn(PETSC_SUCCESS); |
| 944 | } | ||
| 945 | |||
| 946 | /* | ||
| 947 | Compute Y^H*A*X= [ -- | Y0'*W1 ] | ||
| 948 | [ Y1'*W0 | Y1'*W1 ] | ||
| 949 | First stage: allocate auxiliary BV to store A*X1, one BVDot for right part; | ||
| 950 | Second stage: resize BV to accommodate A'*Y1, then call BVDot for transpose of | ||
| 951 | bottom-left part; result placed in marray[*,ldm] | ||
| 952 | */ | ||
| 953 | 5809 | static inline PetscErrorCode BVMatProject_MatMult_2(BV X,Mat A,BV Y,PetscScalar *marray,PetscInt ldm,PetscBool symm) | |
| 954 | { | ||
| 955 | 5809 | PetscInt i,j,lx,ly,kx,ky; | |
| 956 | 5809 | const PetscScalar *harray; | |
| 957 | 5809 | Mat H; | |
| 958 | 5809 | BV W; | |
| 959 | |||
| 960 |
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5809 | PetscFunctionBegin; |
| 961 | 5809 | lx = X->l; kx = X->k; | |
| 962 | 5809 | ly = Y->l; ky = Y->k; | |
| 963 | |||
| 964 | /* right part, Y'*AX1 */ | ||
| 965 |
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5809 | PetscCall(BVDuplicateResize(X,kx-lx,&W)); |
| 966 |
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5809 | if (ky>0 && lx<kx) { |
| 967 |
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5809 | PetscCall(BVMatMult(X,A,W)); |
| 968 |
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|
5809 | PetscCall(MatCreateSeqDense(PETSC_COMM_SELF,ky,kx-lx,NULL,&H)); |
| 969 | 5809 | Y->l = 0; Y->k = ky; | |
| 970 |
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5809 | PetscCall(BVDot(W,Y,H)); |
| 971 |
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5809 | PetscCall(MatDenseGetArrayRead(H,&harray)); |
| 972 |
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|
14622 | for (j=lx;j<kx;j++) PetscCall(PetscArraycpy(marray+j*ldm,harray+(j-lx)*ky,ky)); |
| 973 |
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5809 | PetscCall(MatDenseRestoreArrayRead(H,&harray)); |
| 974 |
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5809 | PetscCall(MatDestroy(&H)); |
| 975 | } | ||
| 976 | |||
| 977 | /* bottom-left part, Y1'*AX0 */ | ||
| 978 |
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5809 | if (lx>0 && ly<ky) { |
| 979 |
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4789 | if (symm) { |
| 980 | /* do not compute, just copy symmetric elements */ | ||
| 981 |
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8372 | for (i=ly;i<ky;i++) { |
| 982 |
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21261 | for (j=0;j<lx;j++) marray[i+j*ldm] = PetscConj(marray[j+i*ldm]); |
| 983 | } | ||
| 984 | } else { | ||
| 985 |
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701 | PetscCall(BVResize(W,ky-ly,PETSC_FALSE)); |
| 986 | 701 | Y->l = ly; Y->k = ky; | |
| 987 |
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701 | PetscCall(BVMatMultHermitianTranspose(Y,A,W)); |
| 988 |
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701 | PetscCall(MatCreateSeqDense(PETSC_COMM_SELF,lx,ky-ly,NULL,&H)); |
| 989 | 701 | X->l = 0; X->k = lx; | |
| 990 |
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701 | PetscCall(BVDot(W,X,H)); |
| 991 |
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701 | PetscCall(MatDenseGetArrayRead(H,&harray)); |
| 992 |
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1834 | for (i=0;i<ky-ly;i++) { |
| 993 |
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4592 | for (j=0;j<lx;j++) { |
| 994 | 3459 | marray[i+j*ldm+ly] = PetscConj(harray[j+i*(ky-ly)]); | |
| 995 | } | ||
| 996 | } | ||
| 997 |
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701 | PetscCall(MatDenseRestoreArrayRead(H,&harray)); |
| 998 |
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701 | PetscCall(MatDestroy(&H)); |
| 999 | } | ||
| 1000 | } | ||
| 1001 |
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5809 | PetscCall(BVDestroy(&W)); |
| 1002 | 5809 | X->l = lx; X->k = kx; | |
| 1003 | 5809 | Y->l = ly; Y->k = ky; | |
| 1004 |
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5809 | PetscFunctionReturn(PETSC_SUCCESS); |
| 1005 | } | ||
| 1006 | |||
| 1007 | /* | ||
| 1008 | Compute Y^H*X = [ -- | Y0'*X1 ] (X contains A*X): | ||
| 1009 | [ Y1'*X0 | Y1'*X1 ] | ||
| 1010 | one BVDot call for top-right part and another one for bottom part; | ||
| 1011 | result placed in marray[*,ldm] | ||
| 1012 | */ | ||
| 1013 | 158889 | static inline PetscErrorCode BVMatProject_Dot(BV X,BV Y,PetscScalar *marray,PetscInt ldm) | |
| 1014 | { | ||
| 1015 | 158889 | PetscInt j,lx,ly,kx,ky; | |
| 1016 | 158889 | const PetscScalar *harray; | |
| 1017 | 158889 | Mat H; | |
| 1018 | |||
| 1019 |
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158889 | PetscFunctionBegin; |
| 1020 | 158889 | lx = X->l; kx = X->k; | |
| 1021 | 158889 | ly = Y->l; ky = Y->k; | |
| 1022 | |||
| 1023 | /* top-right part, Y0'*X1 */ | ||
| 1024 |
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158889 | if (ly>0 && lx<kx) { |
| 1025 |
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89978 | PetscCall(MatCreateSeqDense(PETSC_COMM_SELF,ly,kx,NULL,&H)); |
| 1026 | 89978 | X->l = lx; X->k = kx; | |
| 1027 | 89978 | Y->l = 0; Y->k = ly; | |
| 1028 |
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89978 | PetscCall(BVDot(X,Y,H)); |
| 1029 |
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89978 | PetscCall(MatDenseGetArrayRead(H,&harray)); |
| 1030 |
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218608 | for (j=lx;j<kx;j++) PetscCall(PetscArraycpy(marray+j*ldm,harray+j*ly,ly)); |
| 1031 |
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89978 | PetscCall(MatDenseRestoreArrayRead(H,&harray)); |
| 1032 |
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89978 | PetscCall(MatDestroy(&H)); |
| 1033 | } | ||
| 1034 | |||
| 1035 | /* bottom part, Y1'*X */ | ||
| 1036 |
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158889 | if (kx>0 && ly<ky) { |
| 1037 |
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158889 | PetscCall(MatCreateSeqDense(PETSC_COMM_SELF,ky,kx,NULL,&H)); |
| 1038 | 158889 | X->l = 0; X->k = kx; | |
| 1039 | 158889 | Y->l = ly; Y->k = ky; | |
| 1040 |
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158889 | PetscCall(BVDot(X,Y,H)); |
| 1041 |
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158889 | PetscCall(MatDenseGetArrayRead(H,&harray)); |
| 1042 |
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1523635 | for (j=0;j<kx;j++) PetscCall(PetscArraycpy(marray+j*ldm+ly,harray+j*ky+ly,ky-ly)); |
| 1043 |
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158889 | PetscCall(MatDenseRestoreArrayRead(H,&harray)); |
| 1044 |
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158889 | PetscCall(MatDestroy(&H)); |
| 1045 | } | ||
| 1046 | 158889 | X->l = lx; X->k = kx; | |
| 1047 | 158889 | Y->l = ly; Y->k = ky; | |
| 1048 |
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158889 | PetscFunctionReturn(PETSC_SUCCESS); |
| 1049 | } | ||
| 1050 | |||
| 1051 | /*@ | ||
| 1052 | BVMatProject - Computes the projection of a matrix onto a subspace. | ||
| 1053 | |||
| 1054 | Collective | ||
| 1055 | |||
| 1056 | Input Parameters: | ||
| 1057 | + X - basis vectors | ||
| 1058 | . A - (optional) matrix to be projected | ||
| 1059 | - Y - left basis vectors, can be equal to X | ||
| 1060 | |||
| 1061 | Output Parameter: | ||
| 1062 | . M - the resulting matrix | ||
| 1063 | |||
| 1064 | Notes: | ||
| 1065 | If A=NULL, then it is assumed that X already contains A*X. | ||
| 1066 | |||
| 1067 | This operation is similar to BVDot(), with important differences. | ||
| 1068 | The goal is to compute the matrix resulting from the orthogonal projection | ||
| 1069 | of A onto the subspace spanned by the columns of X, M = X^H*A*X, or the | ||
| 1070 | oblique projection onto X along Y, M = Y^H*A*X. | ||
| 1071 | |||
| 1072 | A difference with respect to BVDot() is that the standard inner product | ||
| 1073 | is always used, regardless of a non-standard inner product being specified | ||
| 1074 | with BVSetMatrix(). | ||
| 1075 | |||
| 1076 | On entry, M must be a sequential dense Mat with dimensions ky,kx at least, | ||
| 1077 | where ky (resp. kx) is the number of active columns of Y (resp. X). | ||
| 1078 | Another difference with respect to BVDot() is that all entries of M are | ||
| 1079 | computed except the leading ly,lx part, where ly (resp. lx) is the | ||
| 1080 | number of leading columns of Y (resp. X). Hence, the leading columns of | ||
| 1081 | X and Y participate in the computation, as opposed to BVDot(). | ||
| 1082 | The leading part of M is assumed to be already available from previous | ||
| 1083 | computations. | ||
| 1084 | |||
| 1085 | In the orthogonal projection case, Y=X, some computation can be saved if | ||
| 1086 | A is real symmetric (or complex Hermitian). In order to exploit this | ||
| 1087 | property, the symmetry flag of A must be set with MatSetOption(). | ||
| 1088 | |||
| 1089 | Level: intermediate | ||
| 1090 | |||
| 1091 | .seealso: BVDot(), BVSetActiveColumns(), BVSetMatrix() | ||
| 1092 | @*/ | ||
| 1093 | 186855 | PetscErrorCode BVMatProject(BV X,Mat A,BV Y,Mat M) | |
| 1094 | { | ||
| 1095 | 186855 | PetscBool set,flg,symm=PETSC_FALSE; | |
| 1096 | 186855 | PetscInt m,n,ldm; | |
| 1097 | 186855 | PetscScalar *marray; | |
| 1098 | 186855 | Mat Xmatrix,Ymatrix; | |
| 1099 | 186855 | PetscObjectId idx,idy; | |
| 1100 | |||
| 1101 |
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186855 | PetscFunctionBegin; |
| 1102 |
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186855 | PetscValidHeaderSpecific(X,BV_CLASSID,1); |
| 1103 |
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186855 | if (A) PetscValidHeaderSpecific(A,MAT_CLASSID,2); |
| 1104 |
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186855 | PetscValidHeaderSpecific(Y,BV_CLASSID,3); |
| 1105 |
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186855 | PetscValidHeaderSpecific(M,MAT_CLASSID,4); |
| 1106 |
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186855 | PetscValidType(X,1); |
| 1107 |
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186855 | BVCheckSizes(X,1); |
| 1108 |
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186855 | if (A) { |
| 1109 |
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155860 | PetscValidType(A,2); |
| 1110 |
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155860 | PetscCheckSameComm(X,1,A,2); |
| 1111 | } | ||
| 1112 |
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186855 | PetscValidType(Y,3); |
| 1113 |
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186855 | BVCheckSizes(Y,3); |
| 1114 |
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186855 | PetscValidType(M,4); |
| 1115 |
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186855 | PetscCheckSameTypeAndComm(X,1,Y,3); |
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186855 | SlepcMatCheckSeq(M); |
| 1117 | |||
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186855 | PetscCall(MatGetSize(M,&m,&n)); |
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186855 | PetscCall(MatDenseGetLDA(M,&ldm)); |
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186855 | PetscCheck(m>=Y->k,PetscObjectComm((PetscObject)X),PETSC_ERR_ARG_SIZ,"Matrix M has %" PetscInt_FMT " rows, should have at least %" PetscInt_FMT,m,Y->k); |
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186855 | PetscCheck(n>=X->k,PetscObjectComm((PetscObject)X),PETSC_ERR_ARG_SIZ,"Matrix M has %" PetscInt_FMT " columns, should have at least %" PetscInt_FMT,n,X->k); |
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186855 | PetscCheck(X->n==Y->n,PetscObjectComm((PetscObject)X),PETSC_ERR_ARG_INCOMP,"Mismatching local dimension X %" PetscInt_FMT ", Y %" PetscInt_FMT,X->n,Y->n); |
| 1123 | |||
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186855 | PetscCall(PetscLogEventBegin(BV_MatProject,X,A,Y,0)); |
| 1125 | /* temporarily set standard inner product */ | ||
| 1126 | 186855 | Xmatrix = X->matrix; | |
| 1127 | 186855 | Ymatrix = Y->matrix; | |
| 1128 | 186855 | X->matrix = Y->matrix = NULL; | |
| 1129 | |||
| 1130 |
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186855 | PetscCall(PetscObjectGetId((PetscObject)X,&idx)); |
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186855 | PetscCall(PetscObjectGetId((PetscObject)Y,&idy)); |
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186855 | if (A && idx==idy) { /* check symmetry of M=X'AX */ |
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27808 | PetscCall(MatIsHermitianKnown(A,&set,&flg)); |
| 1134 |
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27808 | symm = set? flg: PETSC_FALSE; |
| 1135 | } | ||
| 1136 | |||
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186855 | PetscCall(MatDenseGetArray(M,&marray)); |
| 1138 | |||
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186855 | if (A) { |
| 1140 |
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27966 | if (X->vmm==BV_MATMULT_VECS) { |
| 1141 | /* perform computation column by column */ | ||
| 1142 |
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180 | PetscCall(BVMatProject_Vec(X,A,Y,marray,ldm,symm)); |
| 1143 | } else { | ||
| 1144 | /* use BVMatMult, then BVDot */ | ||
| 1145 |
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27786 | PetscCall(MatHasOperation(A,MATOP_MULT_TRANSPOSE,&flg)); |
| 1146 |
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27786 | if (symm || (flg && X->l>=X->k/2 && Y->l>=Y->k/2)) PetscCall(BVMatProject_MatMult_2(X,A,Y,marray,ldm,symm)); |
| 1147 |
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21977 | else PetscCall(BVMatProject_MatMult(X,A,Y,marray,ldm)); |
| 1148 | } | ||
| 1149 | } else { | ||
| 1150 | /* use BVDot on subblocks */ | ||
| 1151 |
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158889 | PetscCall(BVMatProject_Dot(X,Y,marray,ldm)); |
| 1152 | } | ||
| 1153 | |||
| 1154 |
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186855 | PetscCall(MatDenseRestoreArray(M,&marray)); |
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186855 | PetscCall(PetscLogEventEnd(BV_MatProject,X,A,Y,0)); |
| 1156 | /* restore non-standard inner product */ | ||
| 1157 | 186855 | X->matrix = Xmatrix; | |
| 1158 | 186855 | Y->matrix = Ymatrix; | |
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186855 | PetscFunctionReturn(PETSC_SUCCESS); |
| 1160 | } | ||
| 1161 |