| 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 | #include <slepc/private/dsimpl.h> /*I "slepcds.h" I*/ | ||
| 12 | #include <slepcblaslapack.h> | ||
| 13 | |||
| 14 | typedef struct { | ||
| 15 | PetscInt d; /* polynomial degree */ | ||
| 16 | PetscReal *pbc; /* polynomial basis coefficients */ | ||
| 17 | } DS_PEP; | ||
| 18 | |||
| 19 | 148 | static PetscErrorCode DSAllocate_PEP(DS ds,PetscInt ld) | |
| 20 | { | ||
| 21 | 148 | DS_PEP *ctx = (DS_PEP*)ds->data; | |
| 22 | 148 | PetscInt i; | |
| 23 | |||
| 24 |
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148 | PetscFunctionBegin; |
| 25 |
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148 | PetscCheck(ctx->d,PetscObjectComm((PetscObject)ds),PETSC_ERR_ARG_WRONGSTATE,"DSPEP requires specifying the polynomial degree via DSPEPSetDegree()"); |
| 26 |
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148 | PetscCall(DSAllocateMat_Private(ds,DS_MAT_X)); |
| 27 |
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148 | PetscCall(DSAllocateMat_Private(ds,DS_MAT_Y)); |
| 28 |
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656 | for (i=0;i<=ctx->d;i++) PetscCall(DSAllocateMat_Private(ds,DSMatExtra[i])); |
| 29 |
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148 | PetscCall(PetscFree(ds->perm)); |
| 30 |
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148 | PetscCall(PetscMalloc1(ld*ctx->d,&ds->perm)); |
| 31 |
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37 | PetscFunctionReturn(PETSC_SUCCESS); |
| 32 | } | ||
| 33 | |||
| 34 | 16 | static PetscErrorCode DSView_PEP(DS ds,PetscViewer viewer) | |
| 35 | { | ||
| 36 | 16 | DS_PEP *ctx = (DS_PEP*)ds->data; | |
| 37 | 16 | PetscViewerFormat format; | |
| 38 | 16 | PetscInt i; | |
| 39 | |||
| 40 |
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16 | PetscFunctionBegin; |
| 41 |
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16 | PetscCall(PetscViewerGetFormat(viewer,&format)); |
| 42 |
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16 | if (format == PETSC_VIEWER_ASCII_INFO) PetscFunctionReturn(PETSC_SUCCESS); |
| 43 |
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16 | if (format == PETSC_VIEWER_ASCII_INFO_DETAIL) { |
| 44 |
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16 | PetscCall(PetscViewerASCIIPrintf(viewer,"polynomial degree: %" PetscInt_FMT "\n",ctx->d)); |
| 45 |
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4 | PetscFunctionReturn(PETSC_SUCCESS); |
| 46 | } | ||
| 47 | ✗ | for (i=0;i<=ctx->d;i++) PetscCall(DSViewMat(ds,viewer,DSMatExtra[i])); | |
| 48 | ✗ | if (ds->state>DS_STATE_INTERMEDIATE) PetscCall(DSViewMat(ds,viewer,DS_MAT_X)); | |
| 49 | ✗ | PetscFunctionReturn(PETSC_SUCCESS); | |
| 50 | } | ||
| 51 | |||
| 52 | 104 | static PetscErrorCode DSVectors_PEP(DS ds,DSMatType mat,PetscInt *j,PetscReal *rnorm) | |
| 53 | { | ||
| 54 |
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104 | PetscFunctionBegin; |
| 55 |
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104 | PetscCheck(!rnorm,PetscObjectComm((PetscObject)ds),PETSC_ERR_SUP,"Not implemented yet"); |
| 56 |
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104 | switch (mat) { |
| 57 | case DS_MAT_X: | ||
| 58 | break; | ||
| 59 | case DS_MAT_Y: | ||
| 60 | break; | ||
| 61 | ✗ | default: | |
| 62 | ✗ | SETERRQ(PetscObjectComm((PetscObject)ds),PETSC_ERR_ARG_OUTOFRANGE,"Invalid mat parameter"); | |
| 63 | } | ||
| 64 |
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26 | PetscFunctionReturn(PETSC_SUCCESS); |
| 65 | } | ||
| 66 | |||
| 67 | 2475 | static PetscErrorCode DSSort_PEP(DS ds,PetscScalar *wr,PetscScalar *wi,PetscScalar *rr,PetscScalar *ri,PetscInt *kout) | |
| 68 | { | ||
| 69 | 2475 | DS_PEP *ctx = (DS_PEP*)ds->data; | |
| 70 | 2475 | PetscInt n,i,*perm,told; | |
| 71 | 2475 | PetscScalar *A; | |
| 72 | |||
| 73 |
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2475 | PetscFunctionBegin; |
| 74 |
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2475 | if (!ds->sc) PetscFunctionReturn(PETSC_SUCCESS); |
| 75 | 2475 | n = ds->n*ctx->d; | |
| 76 | 2475 | perm = ds->perm; | |
| 77 |
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60027 | for (i=0;i<n;i++) perm[i] = i; |
| 78 | 2475 | told = ds->t; | |
| 79 | 2475 | ds->t = n; /* force the sorting routines to consider d*n eigenvalues */ | |
| 80 |
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2475 | if (rr) PetscCall(DSSortEigenvalues_Private(ds,rr,ri,perm,PETSC_FALSE)); |
| 81 |
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2435 | else PetscCall(DSSortEigenvalues_Private(ds,wr,wi,perm,PETSC_FALSE)); |
| 82 | 2475 | ds->t = told; /* restore value of t */ | |
| 83 |
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2475 | PetscCall(MatDenseGetArray(ds->omat[DS_MAT_A],&A)); |
| 84 |
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60027 | for (i=0;i<n;i++) A[i] = wr[perm[i]]; |
| 85 |
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60027 | for (i=0;i<n;i++) wr[i] = A[i]; |
| 86 |
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60027 | for (i=0;i<n;i++) A[i] = wi[perm[i]]; |
| 87 |
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60027 | for (i=0;i<n;i++) wi[i] = A[i]; |
| 88 |
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2475 | PetscCall(MatDenseRestoreArray(ds->omat[DS_MAT_A],&A)); |
| 89 |
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2475 | PetscCall(DSPermuteColumnsTwo_Private(ds,0,n,ds->n,DS_MAT_X,DS_MAT_Y,perm)); |
| 90 |
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618 | PetscFunctionReturn(PETSC_SUCCESS); |
| 91 | } | ||
| 92 | |||
| 93 | 2475 | static PetscErrorCode DSSolve_PEP_QZ(DS ds,PetscScalar *wr,PetscScalar *wi) | |
| 94 | { | ||
| 95 | 2475 | DS_PEP *ctx = (DS_PEP*)ds->data; | |
| 96 | 2475 | PetscInt i,j,k,off; | |
| 97 | 2475 | PetscScalar *A,*B,*W,*X,*U,*Y,*work,*beta,a; | |
| 98 | 2475 | const PetscScalar *Ed,*Ei; | |
| 99 | 2475 | PetscReal *ca,*cb,*cg,norm,done=1.0; | |
| 100 | 2475 | PetscBLASInt info,n,ld,ldd,nd,lwork,one=1,zero=0,cols; | |
| 101 | 2475 | PetscBool useggev3=(ds->method==1)?PETSC_TRUE:PETSC_FALSE; | |
| 102 | |||
| 103 |
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2475 | PetscFunctionBegin; |
| 104 |
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2475 | PetscCall(PetscBLASIntCast(ds->n*ctx->d,&nd)); |
| 105 |
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2475 | PetscCall(PetscBLASIntCast(ds->n,&n)); |
| 106 |
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2475 | PetscCall(PetscBLASIntCast(ds->ld,&ld)); |
| 107 |
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2475 | PetscCall(PetscBLASIntCast(ds->ld*ctx->d,&ldd)); |
| 108 |
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2475 | PetscCall(DSAllocateMat_Private(ds,DS_MAT_A)); |
| 109 |
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2475 | PetscCall(DSAllocateMat_Private(ds,DS_MAT_B)); |
| 110 |
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2475 | PetscCall(DSAllocateMat_Private(ds,DS_MAT_W)); |
| 111 |
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2475 | PetscCall(DSAllocateMat_Private(ds,DS_MAT_U)); |
| 112 |
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2475 | PetscCall(MatDenseGetArray(ds->omat[DS_MAT_A],&A)); |
| 113 |
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2475 | PetscCall(MatDenseGetArray(ds->omat[DS_MAT_B],&B)); |
| 114 | |||
| 115 | /* build matrices A and B of the linearization */ | ||
| 116 |
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2475 | PetscCall(MatDenseGetArrayRead(ds->omat[DSMatExtra[ctx->d]],&Ed)); |
| 117 |
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2475 | PetscCall(PetscArrayzero(A,ldd*ldd)); |
| 118 |
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2475 | if (!ctx->pbc) { /* monomial basis */ |
| 119 |
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25940 | for (i=0;i<nd-ds->n;i++) A[i+(i+ds->n)*ldd] = 1.0; |
| 120 |
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6631 | for (i=0;i<ctx->d;i++) { |
| 121 |
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4426 | PetscCall(MatDenseGetArrayRead(ds->omat[DSMatExtra[i]],&Ei)); |
| 122 | 4426 | off = i*ds->n*ldd+(ctx->d-1)*ds->n; | |
| 123 |
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51752 | for (j=0;j<ds->n;j++) PetscCall(PetscArraycpy(A+off+j*ldd,Ei+j*ds->ld,ds->n)); |
| 124 |
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4426 | PetscCall(MatDenseRestoreArrayRead(ds->omat[DSMatExtra[i]],&Ei)); |
| 125 | } | ||
| 126 | } else { | ||
| 127 | 270 | ca = ctx->pbc; | |
| 128 | 270 | cb = ca+ctx->d+1; | |
| 129 | 270 | cg = cb+ctx->d+1; | |
| 130 |
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3860 | for (i=0;i<ds->n;i++) { |
| 131 | 3590 | A[i+(i+ds->n)*ldd] = ca[0]; | |
| 132 | 3590 | A[i+i*ldd] = cb[0]; | |
| 133 | } | ||
| 134 |
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3316 | for (;i<nd-ds->n;i++) { |
| 135 | 3046 | j = i/ds->n; | |
| 136 | 3046 | A[i+(i+ds->n)*ldd] = ca[j]; | |
| 137 | 3046 | A[i+i*ldd] = cb[j]; | |
| 138 | 3046 | A[i+(i-ds->n)*ldd] = cg[j]; | |
| 139 | } | ||
| 140 |
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540 | for (i=0;i<ctx->d-2;i++) { |
| 141 |
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270 | PetscCall(MatDenseGetArrayRead(ds->omat[DSMatExtra[i]],&Ei)); |
| 142 | 270 | off = i*ds->n*ldd+(ctx->d-1)*ds->n; | |
| 143 |
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3316 | for (j=0;j<ds->n;j++) |
| 144 |
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71548 | for (k=0;k<ds->n;k++) |
| 145 | 68502 | A[off+j*ldd+k] = Ei[j*ds->ld+k]*ca[ctx->d-1]; | |
| 146 |
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270 | PetscCall(MatDenseRestoreArrayRead(ds->omat[DSMatExtra[i]],&Ei)); |
| 147 | } | ||
| 148 |
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270 | PetscCall(MatDenseGetArrayRead(ds->omat[DSMatExtra[i]],&Ei)); |
| 149 | 270 | off = i*ds->n*ldd+(ctx->d-1)*ds->n; | |
| 150 |
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3860 | for (j=0;j<ds->n;j++) |
| 151 |
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136388 | for (k=0;k<ds->n;k++) |
| 152 | 132798 | A[off+j*ldd+k] = Ei[j*ds->ld+k]*ca[ctx->d-1]-Ed[j*ds->ld+k]*cg[ctx->d-1]; | |
| 153 |
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270 | PetscCall(MatDenseRestoreArrayRead(ds->omat[DSMatExtra[i]],&Ei)); |
| 154 | 270 | i++; | |
| 155 |
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270 | PetscCall(MatDenseGetArrayRead(ds->omat[DSMatExtra[i]],&Ei)); |
| 156 | 270 | off = i*ds->n*ldd+(ctx->d-1)*ds->n; | |
| 157 |
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3860 | for (j=0;j<ds->n;j++) |
| 158 |
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136388 | for (k=0;k<ds->n;k++) |
| 159 | 132798 | A[off+j*ldd+k] = Ei[j*ds->ld+k]*ca[ctx->d-1]-Ed[j*ds->ld+k]*cb[ctx->d-1]; | |
| 160 |
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270 | PetscCall(MatDenseRestoreArrayRead(ds->omat[DSMatExtra[i]],&Ei)); |
| 161 | } | ||
| 162 |
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2475 | PetscCall(PetscArrayzero(B,ldd*ldd)); |
| 163 |
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32846 | for (i=0;i<nd-ds->n;i++) B[i+i*ldd] = 1.0; |
| 164 | 2475 | off = (ctx->d-1)*ds->n*(ldd+1); | |
| 165 |
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29656 | for (j=0;j<ds->n;j++) { |
| 166 |
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478420 | for (i=0;i<ds->n;i++) B[off+i+j*ldd] = -Ed[i+j*ds->ld]; |
| 167 | } | ||
| 168 |
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2475 | PetscCall(MatDenseRestoreArrayRead(ds->omat[DSMatExtra[ctx->d]],&Ed)); |
| 169 | |||
| 170 | /* solve generalized eigenproblem */ | ||
| 171 |
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2475 | PetscCall(MatDenseGetArray(ds->omat[DS_MAT_W],&W)); |
| 172 |
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2475 | PetscCall(MatDenseGetArray(ds->omat[DS_MAT_U],&U)); |
| 173 | 2475 | lwork = -1; | |
| 174 | #if defined(PETSC_USE_COMPLEX) | ||
| 175 |
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1247 | if (useggev3) PetscCallBLAS("LAPACKggev3",LAPACKggev3_("V","V",&nd,A,&ldd,B,&ldd,wr,NULL,U,&ldd,W,&ldd,&a,&lwork,NULL,&info)); |
| 176 |
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1247 | else PetscCallBLAS("LAPACKggev",LAPACKggev_("V","V",&nd,A,&ldd,B,&ldd,wr,NULL,U,&ldd,W,&ldd,&a,&lwork,NULL,&info)); |
| 177 |
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1247 | PetscCall(PetscBLASIntCast((PetscInt)PetscRealPart(a),&lwork)); |
| 178 |
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1247 | PetscCall(DSAllocateWork_Private(ds,lwork+nd,8*nd,0)); |
| 179 | 1247 | beta = ds->work; | |
| 180 | 1247 | work = ds->work + nd; | |
| 181 |
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1247 | if (useggev3) PetscCallBLAS("LAPACKggev3",LAPACKggev3_("V","V",&nd,A,&ldd,B,&ldd,wr,beta,U,&ldd,W,&ldd,work,&lwork,ds->rwork,&info)); |
| 182 |
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1247 | else PetscCallBLAS("LAPACKggev",LAPACKggev_("V","V",&nd,A,&ldd,B,&ldd,wr,beta,U,&ldd,W,&ldd,work,&lwork,ds->rwork,&info)); |
| 183 | #else | ||
| 184 |
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1228 | if (useggev3) PetscCallBLAS("LAPACKggev3",LAPACKggev3_("V","V",&nd,A,&ldd,B,&ldd,wr,wi,NULL,U,&ldd,W,&ldd,&a,&lwork,&info)); |
| 185 |
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1228 | else PetscCallBLAS("LAPACKggev",LAPACKggev_("V","V",&nd,A,&ldd,B,&ldd,wr,wi,NULL,U,&ldd,W,&ldd,&a,&lwork,&info)); |
| 186 |
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1228 | PetscCall(PetscBLASIntCast((PetscInt)a,&lwork)); |
| 187 |
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1228 | PetscCall(DSAllocateWork_Private(ds,lwork+nd,0,0)); |
| 188 | 1228 | beta = ds->work; | |
| 189 | 1228 | work = ds->work + nd; | |
| 190 |
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1228 | if (useggev3) PetscCallBLAS("LAPACKggev3",LAPACKggev3_("V","V",&nd,A,&ldd,B,&ldd,wr,wi,beta,U,&ldd,W,&ldd,work,&lwork,&info)); |
| 191 |
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1228 | else PetscCallBLAS("LAPACKggev",LAPACKggev_("V","V",&nd,A,&ldd,B,&ldd,wr,wi,beta,U,&ldd,W,&ldd,work,&lwork,&info)); |
| 192 | #endif | ||
| 193 |
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2475 | SlepcCheckLapackInfo(useggev3?"ggev3":"ggev",info); |
| 194 |
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2475 | PetscCall(MatDenseRestoreArray(ds->omat[DS_MAT_A],&A)); |
| 195 |
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2475 | PetscCall(MatDenseRestoreArray(ds->omat[DS_MAT_B],&B)); |
| 196 | |||
| 197 | /* copy eigenvalues */ | ||
| 198 |
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60027 | for (i=0;i<nd;i++) { |
| 199 |
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57553 | if (beta[i]==0.0) wr[i] = (PetscRealPart(wr[i])>0.0)? PETSC_MAX_REAL: PETSC_MIN_REAL; |
| 200 | 57547 | else wr[i] /= beta[i]; | |
| 201 | #if !defined(PETSC_USE_COMPLEX) | ||
| 202 |
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27198 | if (beta[i]==0.0) wi[i] = 0.0; |
| 203 | 27198 | else wi[i] /= beta[i]; | |
| 204 | #else | ||
| 205 |
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30354 | if (wi) wi[i] = 0.0; |
| 206 | #endif | ||
| 207 | } | ||
| 208 | |||
| 209 | /* copy and normalize eigenvectors */ | ||
| 210 |
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2475 | PetscCall(MatDenseGetArray(ds->omat[DS_MAT_X],&X)); |
| 211 |
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2475 | PetscCall(MatDenseGetArray(ds->omat[DS_MAT_Y],&Y)); |
| 212 |
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60027 | for (j=0;j<nd;j++) { |
| 213 |
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57552 | PetscCall(PetscArraycpy(X+j*ds->ld,W+j*ldd,ds->n)); |
| 214 |
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57552 | PetscCall(PetscArraycpy(Y+j*ds->ld,U+ds->n*(ctx->d-1)+j*ldd,ds->n)); |
| 215 | } | ||
| 216 |
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2475 | PetscCall(MatDenseRestoreArray(ds->omat[DS_MAT_W],&W)); |
| 217 |
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2475 | PetscCall(MatDenseRestoreArray(ds->omat[DS_MAT_U],&U)); |
| 218 |
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57563 | for (j=0;j<nd;j++) { |
| 219 | 55088 | cols = 1; | |
| 220 | 55088 | norm = BLASnrm2_(&n,X+j*ds->ld,&one); | |
| 221 | #if !defined(PETSC_USE_COMPLEX) | ||
| 222 |
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24734 | if (wi[j] != 0.0) { |
| 223 | 2464 | norm = SlepcAbsEigenvalue(norm,BLASnrm2_(&n,X+(j+1)*ds->ld,&one)); | |
| 224 | 2464 | cols = 2; | |
| 225 | } | ||
| 226 | #endif | ||
| 227 |
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55088 | PetscCallBLAS("LAPACKlascl",LAPACKlascl_("G",&zero,&zero,&norm,&done,&n,&cols,X+j*ds->ld,&ld,&info)); |
| 228 |
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55088 | SlepcCheckLapackInfo("lascl",info); |
| 229 | 55088 | norm = BLASnrm2_(&n,Y+j*ds->ld,&one); | |
| 230 | #if !defined(PETSC_USE_COMPLEX) | ||
| 231 |
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24734 | if (wi[j] != 0.0) norm = SlepcAbsEigenvalue(norm,BLASnrm2_(&n,Y+(j+1)*ds->ld,&one)); |
| 232 | #endif | ||
| 233 |
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55088 | PetscCallBLAS("LAPACKlascl",LAPACKlascl_("G",&zero,&zero,&norm,&done,&n,&cols,Y+j*ds->ld,&ld,&info)); |
| 234 |
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55088 | SlepcCheckLapackInfo("lascl",info); |
| 235 | #if !defined(PETSC_USE_COMPLEX) | ||
| 236 |
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24734 | if (wi[j] != 0.0) j++; |
| 237 | #endif | ||
| 238 | } | ||
| 239 |
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2475 | PetscCall(MatDenseRestoreArray(ds->omat[DS_MAT_X],&X)); |
| 240 |
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2475 | PetscCall(MatDenseRestoreArray(ds->omat[DS_MAT_Y],&Y)); |
| 241 |
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618 | PetscFunctionReturn(PETSC_SUCCESS); |
| 242 | } | ||
| 243 | |||
| 244 | #if !defined(PETSC_HAVE_MPIUNI) | ||
| 245 | 440 | static PetscErrorCode DSSynchronize_PEP(DS ds,PetscScalar eigr[],PetscScalar eigi[]) | |
| 246 | { | ||
| 247 | 440 | DS_PEP *ctx = (DS_PEP*)ds->data; | |
| 248 | 440 | PetscInt ld=ds->ld,k=0; | |
| 249 | 440 | PetscMPIInt ldnd,rank,off=0,size,dn; | |
| 250 | 440 | PetscScalar *X,*Y; | |
| 251 | |||
| 252 |
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440 | PetscFunctionBegin; |
| 253 |
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440 | if (ds->state>=DS_STATE_CONDENSED) k += 2*ctx->d*ds->n*ld; |
| 254 |
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440 | if (eigr) k += ctx->d*ds->n; |
| 255 |
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440 | if (eigi) k += ctx->d*ds->n; |
| 256 |
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440 | PetscCall(DSAllocateWork_Private(ds,k,0,0)); |
| 257 |
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440 | PetscCall(PetscMPIIntCast(k*sizeof(PetscScalar),&size)); |
| 258 |
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440 | PetscCall(PetscMPIIntCast(ds->n*ctx->d*ld,&ldnd)); |
| 259 |
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440 | PetscCall(PetscMPIIntCast(ctx->d*ds->n,&dn)); |
| 260 |
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440 | if (ds->state>=DS_STATE_CONDENSED) { |
| 261 |
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440 | PetscCall(MatDenseGetArray(ds->omat[DS_MAT_X],&X)); |
| 262 |
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440 | PetscCall(MatDenseGetArray(ds->omat[DS_MAT_Y],&Y)); |
| 263 | } | ||
| 264 |
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440 | PetscCallMPI(MPI_Comm_rank(PetscObjectComm((PetscObject)ds),&rank)); |
| 265 |
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440 | if (!rank) { |
| 266 |
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220 | if (ds->state>=DS_STATE_CONDENSED) { |
| 267 |
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220 | PetscCallMPI(MPI_Pack(X,ldnd,MPIU_SCALAR,ds->work,size,&off,PetscObjectComm((PetscObject)ds))); |
| 268 |
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220 | PetscCallMPI(MPI_Pack(Y,ldnd,MPIU_SCALAR,ds->work,size,&off,PetscObjectComm((PetscObject)ds))); |
| 269 | } | ||
| 270 |
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220 | if (eigr) PetscCallMPI(MPI_Pack(eigr,dn,MPIU_SCALAR,ds->work,size,&off,PetscObjectComm((PetscObject)ds))); |
| 271 | #if !defined(PETSC_USE_COMPLEX) | ||
| 272 |
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116 | if (eigi) PetscCallMPI(MPI_Pack(eigi,dn,MPIU_SCALAR,ds->work,size,&off,PetscObjectComm((PetscObject)ds))); |
| 273 | #endif | ||
| 274 | } | ||
| 275 |
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880 | PetscCallMPI(MPI_Bcast(ds->work,size,MPI_BYTE,0,PetscObjectComm((PetscObject)ds))); |
| 276 |
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440 | if (rank) { |
| 277 |
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220 | if (ds->state>=DS_STATE_CONDENSED) { |
| 278 |
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220 | PetscCallMPI(MPI_Unpack(ds->work,size,&off,X,ldnd,MPIU_SCALAR,PetscObjectComm((PetscObject)ds))); |
| 279 |
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220 | PetscCallMPI(MPI_Unpack(ds->work,size,&off,Y,ldnd,MPIU_SCALAR,PetscObjectComm((PetscObject)ds))); |
| 280 | } | ||
| 281 |
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220 | if (eigr) PetscCallMPI(MPI_Unpack(ds->work,size,&off,eigr,dn,MPIU_SCALAR,PetscObjectComm((PetscObject)ds))); |
| 282 | #if !defined(PETSC_USE_COMPLEX) | ||
| 283 |
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116 | if (eigi) PetscCallMPI(MPI_Unpack(ds->work,size,&off,eigi,dn,MPIU_SCALAR,PetscObjectComm((PetscObject)ds))); |
| 284 | #endif | ||
| 285 | } | ||
| 286 |
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440 | if (ds->state>=DS_STATE_CONDENSED) { |
| 287 |
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440 | PetscCall(MatDenseRestoreArray(ds->omat[DS_MAT_X],&X)); |
| 288 |
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440 | PetscCall(MatDenseRestoreArray(ds->omat[DS_MAT_Y],&Y)); |
| 289 | } | ||
| 290 |
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110 | PetscFunctionReturn(PETSC_SUCCESS); |
| 291 | } | ||
| 292 | #endif | ||
| 293 | |||
| 294 | 156 | static PetscErrorCode DSPEPSetDegree_PEP(DS ds,PetscInt d) | |
| 295 | { | ||
| 296 | 156 | DS_PEP *ctx = (DS_PEP*)ds->data; | |
| 297 | |||
| 298 |
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156 | PetscFunctionBegin; |
| 299 |
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156 | PetscCheck(d>=0,PetscObjectComm((PetscObject)ds),PETSC_ERR_ARG_OUTOFRANGE,"The degree must be a non-negative integer"); |
| 300 |
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156 | PetscCheck(d<DS_NUM_EXTRA,PetscObjectComm((PetscObject)ds),PETSC_ERR_ARG_OUTOFRANGE,"Only implemented for polynomials of degree at most %d",DS_NUM_EXTRA-1); |
| 301 | 156 | ctx->d = d; | |
| 302 |
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156 | PetscFunctionReturn(PETSC_SUCCESS); |
| 303 | } | ||
| 304 | |||
| 305 | /*@ | ||
| 306 | DSPEPSetDegree - Sets the polynomial degree for a `DSPEP`. | ||
| 307 | |||
| 308 | Logically Collective | ||
| 309 | |||
| 310 | Input Parameters: | ||
| 311 | + ds - the direct solver context | ||
| 312 | - d - the degree | ||
| 313 | |||
| 314 | Level: intermediate | ||
| 315 | |||
| 316 | .seealso: [](sec:ds), `DSPEP`, `DSPEPGetDegree()` | ||
| 317 | @*/ | ||
| 318 | 156 | PetscErrorCode DSPEPSetDegree(DS ds,PetscInt d) | |
| 319 | { | ||
| 320 |
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156 | PetscFunctionBegin; |
| 321 |
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156 | PetscValidHeaderSpecific(ds,DS_CLASSID,1); |
| 322 |
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156 | PetscValidLogicalCollectiveInt(ds,d,2); |
| 323 |
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156 | PetscTryMethod(ds,"DSPEPSetDegree_C",(DS,PetscInt),(ds,d)); |
| 324 |
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156 | PetscFunctionReturn(PETSC_SUCCESS); |
| 325 | } | ||
| 326 | |||
| 327 | 10204 | static PetscErrorCode DSPEPGetDegree_PEP(DS ds,PetscInt *d) | |
| 328 | { | ||
| 329 | 10204 | DS_PEP *ctx = (DS_PEP*)ds->data; | |
| 330 | |||
| 331 |
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10204 | PetscFunctionBegin; |
| 332 | 10204 | *d = ctx->d; | |
| 333 |
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10204 | PetscFunctionReturn(PETSC_SUCCESS); |
| 334 | } | ||
| 335 | |||
| 336 | /*@ | ||
| 337 | DSPEPGetDegree - Returns the polynomial degree for a `DSPEP`. | ||
| 338 | |||
| 339 | Not Collective | ||
| 340 | |||
| 341 | Input Parameter: | ||
| 342 | . ds - the direct solver context | ||
| 343 | |||
| 344 | Output Parameter: | ||
| 345 | . d - the degree | ||
| 346 | |||
| 347 | Level: intermediate | ||
| 348 | |||
| 349 | .seealso: [](sec:ds), `DSPEP`, `DSPEPSetDegree()` | ||
| 350 | @*/ | ||
| 351 | 10204 | PetscErrorCode DSPEPGetDegree(DS ds,PetscInt *d) | |
| 352 | { | ||
| 353 |
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10204 | PetscFunctionBegin; |
| 354 |
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10204 | PetscValidHeaderSpecific(ds,DS_CLASSID,1); |
| 355 |
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10204 | PetscAssertPointer(d,2); |
| 356 |
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10204 | PetscUseMethod(ds,"DSPEPGetDegree_C",(DS,PetscInt*),(ds,d)); |
| 357 |
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10204 | PetscFunctionReturn(PETSC_SUCCESS); |
| 358 | } | ||
| 359 | |||
| 360 | 56 | static PetscErrorCode DSPEPSetCoefficients_PEP(DS ds,PetscReal *pbc) | |
| 361 | { | ||
| 362 | 56 | DS_PEP *ctx = (DS_PEP*)ds->data; | |
| 363 | 56 | PetscInt i; | |
| 364 | |||
| 365 |
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56 | PetscFunctionBegin; |
| 366 |
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56 | PetscCheck(ctx->d,PetscObjectComm((PetscObject)ds),PETSC_ERR_ARG_WRONGSTATE,"Must first specify the polynomial degree via DSPEPSetDegree()"); |
| 367 |
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56 | if (ctx->pbc) PetscCall(PetscFree(ctx->pbc)); |
| 368 |
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56 | PetscCall(PetscMalloc1(3*(ctx->d+1),&ctx->pbc)); |
| 369 |
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728 | for (i=0;i<3*(ctx->d+1);i++) ctx->pbc[i] = pbc[i]; |
| 370 | 56 | ds->state = DS_STATE_RAW; | |
| 371 |
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56 | PetscFunctionReturn(PETSC_SUCCESS); |
| 372 | } | ||
| 373 | |||
| 374 | /*@ | ||
| 375 | DSPEPSetCoefficients - Sets the polynomial basis coefficients for a `DSPEP`. | ||
| 376 | |||
| 377 | Logically Collective | ||
| 378 | |||
| 379 | Input Parameters: | ||
| 380 | + ds - the direct solver context | ||
| 381 | - pbc - the polynomial basis coefficients | ||
| 382 | |||
| 383 | Notes: | ||
| 384 | This function is required only in the case of a polynomial specified in a | ||
| 385 | non-monomial basis, to provide the coefficients that will be used | ||
| 386 | during the linearization, multiplying the identity blocks on the three main | ||
| 387 | diagonal blocks. Depending on the polynomial basis (Chebyshev, Legendre, ...) | ||
| 388 | the coefficients must be different. | ||
| 389 | |||
| 390 | There must be a total of $3(d+1)$ coefficients, where $d$ is the degree of the | ||
| 391 | polynomial. The coefficients are arranged in three groups, $\alpha_i$, $\beta_i$, and | ||
| 392 | $\gamma_i$, according to the definition of the three-term recurrence. In the case | ||
| 393 | of the monomial basis, $\alpha_i=1$ and $\beta_i=\gamma_i=0$, in which case it is not | ||
| 394 | necessary to invoke this function. | ||
| 395 | |||
| 396 | Level: advanced | ||
| 397 | |||
| 398 | .seealso: [](sec:ds), `DSPEP`, `DSPEPGetCoefficients()`, `DSPEPSetDegree()` | ||
| 399 | @*/ | ||
| 400 | 56 | PetscErrorCode DSPEPSetCoefficients(DS ds,PetscReal pbc[]) | |
| 401 | { | ||
| 402 |
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56 | PetscFunctionBegin; |
| 403 |
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56 | PetscValidHeaderSpecific(ds,DS_CLASSID,1); |
| 404 |
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56 | PetscAssertPointer(pbc,2); |
| 405 |
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56 | PetscTryMethod(ds,"DSPEPSetCoefficients_C",(DS,PetscReal*),(ds,pbc)); |
| 406 |
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56 | PetscFunctionReturn(PETSC_SUCCESS); |
| 407 | } | ||
| 408 | |||
| 409 | 8 | static PetscErrorCode DSPEPGetCoefficients_PEP(DS ds,PetscReal *pbc[]) | |
| 410 | { | ||
| 411 | 8 | DS_PEP *ctx = (DS_PEP*)ds->data; | |
| 412 | 8 | PetscInt i; | |
| 413 | |||
| 414 |
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8 | PetscFunctionBegin; |
| 415 |
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8 | PetscCheck(ctx->d,PetscObjectComm((PetscObject)ds),PETSC_ERR_ARG_WRONGSTATE,"Must first specify the polynomial degree via DSPEPSetDegree()"); |
| 416 |
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8 | PetscCall(PetscCalloc1(3*(ctx->d+1),pbc)); |
| 417 |
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8 | if (ctx->pbc) for (i=0;i<3*(ctx->d+1);i++) (*pbc)[i] = ctx->pbc[i]; |
| 418 |
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32 | else for (i=0;i<ctx->d+1;i++) (*pbc)[i] = 1.0; |
| 419 |
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2 | PetscFunctionReturn(PETSC_SUCCESS); |
| 420 | } | ||
| 421 | |||
| 422 | /*@C | ||
| 423 | DSPEPGetCoefficients - Returns the polynomial basis coefficients for a `DSPEP`. | ||
| 424 | |||
| 425 | Not Collective | ||
| 426 | |||
| 427 | Input Parameter: | ||
| 428 | . ds - the direct solver context | ||
| 429 | |||
| 430 | Output Parameter: | ||
| 431 | . pbc - the polynomial basis coefficients | ||
| 432 | |||
| 433 | Note: | ||
| 434 | The returned array has length $3(d+1)$, where $d$ is the degree of the | ||
| 435 | polynomial, and should be freed by the user. | ||
| 436 | |||
| 437 | Fortran Notes: | ||
| 438 | In Fortran the user must provide in argument `pbc` a sufficiently large array. | ||
| 439 | |||
| 440 | Level: advanced | ||
| 441 | |||
| 442 | .seealso: [](sec:ds), `DSPEP`, `DSPEPSetCoefficients()` | ||
| 443 | @*/ | ||
| 444 | 8 | PetscErrorCode DSPEPGetCoefficients(DS ds,PetscReal *pbc[]) PeNS | |
| 445 | { | ||
| 446 |
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8 | PetscFunctionBegin; |
| 447 |
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8 | PetscValidHeaderSpecific(ds,DS_CLASSID,1); |
| 448 |
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8 | PetscAssertPointer(pbc,2); |
| 449 |
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8 | PetscUseMethod(ds,"DSPEPGetCoefficients_C",(DS,PetscReal**),(ds,pbc)); |
| 450 |
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8 | PetscFunctionReturn(PETSC_SUCCESS); |
| 451 | } | ||
| 452 | |||
| 453 | 148 | static PetscErrorCode DSDestroy_PEP(DS ds) | |
| 454 | { | ||
| 455 | 148 | DS_PEP *ctx = (DS_PEP*)ds->data; | |
| 456 | |||
| 457 |
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148 | PetscFunctionBegin; |
| 458 |
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148 | if (ctx->pbc) PetscCall(PetscFree(ctx->pbc)); |
| 459 |
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148 | PetscCall(PetscFree(ds->data)); |
| 460 |
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148 | PetscCall(PetscObjectComposeFunction((PetscObject)ds,"DSPEPSetDegree_C",NULL)); |
| 461 |
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148 | PetscCall(PetscObjectComposeFunction((PetscObject)ds,"DSPEPGetDegree_C",NULL)); |
| 462 |
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148 | PetscCall(PetscObjectComposeFunction((PetscObject)ds,"DSPEPSetCoefficients_C",NULL)); |
| 463 |
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148 | PetscCall(PetscObjectComposeFunction((PetscObject)ds,"DSPEPGetCoefficients_C",NULL)); |
| 464 |
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37 | PetscFunctionReturn(PETSC_SUCCESS); |
| 465 | } | ||
| 466 | |||
| 467 | 7976 | static PetscErrorCode DSMatGetSize_PEP(DS ds,DSMatType t,PetscInt *rows,PetscInt *cols) | |
| 468 | { | ||
| 469 | 7976 | DS_PEP *ctx = (DS_PEP*)ds->data; | |
| 470 | |||
| 471 |
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7976 | PetscFunctionBegin; |
| 472 |
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7976 | PetscCheck(ctx->d,PetscObjectComm((PetscObject)ds),PETSC_ERR_ARG_WRONGSTATE,"DSPEP requires specifying the polynomial degree via DSPEPSetDegree()"); |
| 473 | 7976 | *rows = ds->n; | |
| 474 |
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7976 | if (t==DS_MAT_A || t==DS_MAT_B || t==DS_MAT_W || t==DS_MAT_U) *rows *= ctx->d; |
| 475 | 7976 | *cols = ds->n; | |
| 476 |
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7976 | if (t==DS_MAT_A || t==DS_MAT_B || t==DS_MAT_W || t==DS_MAT_U || t==DS_MAT_X || t==DS_MAT_Y) *cols *= ctx->d; |
| 477 |
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1993 | PetscFunctionReturn(PETSC_SUCCESS); |
| 478 | } | ||
| 479 | |||
| 480 | /*MC | ||
| 481 | DSPEP - Dense Polynomial Eigenvalue Problem. | ||
| 482 | |||
| 483 | Notes: | ||
| 484 | The problem is expressed as $P(\lambda)x = 0$, where $P(\cdot)$ is a | ||
| 485 | polynomial matrix of degree $d$. The eigenvalues $\lambda$ are the arguments | ||
| 486 | returned by `DSSolve()`. | ||
| 487 | |||
| 488 | The degree of the polynomial, $d$, can be set with `DSPEPSetDegree()`, with | ||
| 489 | the first $d+1$ extra matrices of the `DS` storing the polynomial coefficient. | ||
| 490 | By default, the polynomial is expressed in the monomial basis, but a | ||
| 491 | different basis can be used by setting the corresponding coefficients | ||
| 492 | via `DSPEPSetCoefficients()`. | ||
| 493 | |||
| 494 | The problem is solved via linearization, by building a pencil $(A,B)$ of | ||
| 495 | size $d\cdot n$ and solving the corresponding `GNHEP`. | ||
| 496 | |||
| 497 | Used DS matrices: | ||
| 498 | + `DS_MAT_E0` to `DS_MAT_E9` - coefficients of the matrix polynomial | ||
| 499 | . `DS_MAT_X` - right eigenvectors | ||
| 500 | . `DS_MAT_Y` - left eigenvectors | ||
| 501 | . `DS_MAT_A` - (workspace) first matrix of the linearization | ||
| 502 | . `DS_MAT_B` - (workspace) second matrix of the linearization | ||
| 503 | . `DS_MAT_W` - (workspace) right eigenvectors of the linearization | ||
| 504 | - `DS_MAT_U` - (workspace) left eigenvectors of the linearization | ||
| 505 | |||
| 506 | Implemented methods: | ||
| 507 | . 0 - QZ iteration on the linearization (`_ggev`) | ||
| 508 | |||
| 509 | Level: beginner | ||
| 510 | |||
| 511 | .seealso: [](sec:ds), `DSCreate()`, `DSSetType()`, `DSType`, `DSPEPSetDegree()`, `DSPEPSetCoefficients()` | ||
| 512 | M*/ | ||
| 513 | 148 | SLEPC_EXTERN PetscErrorCode DSCreate_PEP(DS ds) | |
| 514 | { | ||
| 515 | 148 | DS_PEP *ctx; | |
| 516 | |||
| 517 |
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148 | PetscFunctionBegin; |
| 518 |
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148 | PetscCall(PetscNew(&ctx)); |
| 519 | 148 | ds->data = (void*)ctx; | |
| 520 | |||
| 521 | 148 | ds->ops->allocate = DSAllocate_PEP; | |
| 522 | 148 | ds->ops->view = DSView_PEP; | |
| 523 | 148 | ds->ops->vectors = DSVectors_PEP; | |
| 524 | 148 | ds->ops->solve[0] = DSSolve_PEP_QZ; | |
| 525 | #if !defined(SLEPC_MISSING_LAPACK_GGES3) | ||
| 526 | 148 | ds->ops->solve[1] = DSSolve_PEP_QZ; | |
| 527 | #endif | ||
| 528 | 148 | ds->ops->sort = DSSort_PEP; | |
| 529 | #if !defined(PETSC_HAVE_MPIUNI) | ||
| 530 | 148 | ds->ops->synchronize = DSSynchronize_PEP; | |
| 531 | #endif | ||
| 532 | 148 | ds->ops->destroy = DSDestroy_PEP; | |
| 533 | 148 | ds->ops->matgetsize = DSMatGetSize_PEP; | |
| 534 |
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148 | PetscCall(PetscObjectComposeFunction((PetscObject)ds,"DSPEPSetDegree_C",DSPEPSetDegree_PEP)); |
| 535 |
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148 | PetscCall(PetscObjectComposeFunction((PetscObject)ds,"DSPEPGetDegree_C",DSPEPGetDegree_PEP)); |
| 536 |
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148 | PetscCall(PetscObjectComposeFunction((PetscObject)ds,"DSPEPSetCoefficients_C",DSPEPSetCoefficients_PEP)); |
| 537 |
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148 | PetscCall(PetscObjectComposeFunction((PetscObject)ds,"DSPEPGetCoefficients_C",DSPEPGetCoefficients_PEP)); |
| 538 |
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37 | PetscFunctionReturn(PETSC_SUCCESS); |
| 539 | } | ||
| 540 |