1 2 #include <private/pcimpl.h> /*I "petscpc.h" I*/ 3 #include <petscblaslapack.h> 4 5 /* 6 Private context (data structure) for the SVD preconditioner. 7 */ 8 typedef struct { 9 Vec diag,work; 10 Mat A,U,V; 11 PetscInt nzero; 12 PetscReal zerosing; /* measure of smallest singular value treated as nonzero */ 13 PetscViewer monitor; 14 } PC_SVD; 15 16 17 /* -------------------------------------------------------------------------- */ 18 /* 19 PCSetUp_SVD - Prepares for the use of the SVD preconditioner 20 by setting data structures and options. 21 22 Input Parameter: 23 . pc - the preconditioner context 24 25 Application Interface Routine: PCSetUp() 26 27 Notes: 28 The interface routine PCSetUp() is not usually called directly by 29 the user, but instead is called by PCApply() if necessary. 30 */ 31 #undef __FUNCT__ 32 #define __FUNCT__ "PCSetUp_SVD" 33 static PetscErrorCode PCSetUp_SVD(PC pc) 34 { 35 #if defined(PETSC_MISSING_LAPACK_GESVD) 36 SETERRQ(((PetscObject)pc)->comm,PETSC_ERR_SUP,"GESVD - Lapack routine is unavailable\nNot able to provide singular value estimates."); 37 #else 38 PC_SVD *jac = (PC_SVD*)pc->data; 39 PetscErrorCode ierr; 40 PetscScalar *a,*u,*v,*d,*work; 41 PetscBLASInt nb,lwork,lierr; 42 PetscInt i,n; 43 44 PetscFunctionBegin; 45 if (!jac->diag) { 46 /* assume square matrices */ 47 ierr = MatGetVecs(pc->pmat,&jac->diag,&jac->work);CHKERRQ(ierr); 48 } 49 ierr = MatDestroy(&jac->A);CHKERRQ(ierr); 50 ierr = MatConvert(pc->pmat,MATSEQDENSE,MAT_INITIAL_MATRIX,&jac->A);CHKERRQ(ierr); 51 if (!jac->U) { 52 ierr = MatDuplicate(jac->A,MAT_DO_NOT_COPY_VALUES,&jac->U);CHKERRQ(ierr); 53 ierr = MatDuplicate(jac->A,MAT_DO_NOT_COPY_VALUES,&jac->V);CHKERRQ(ierr); 54 } 55 ierr = MatGetSize(pc->pmat,&n,PETSC_NULL);CHKERRQ(ierr); 56 nb = PetscBLASIntCast(n); 57 lwork = 5*nb; 58 ierr = PetscMalloc(lwork*sizeof(PetscScalar),&work);CHKERRQ(ierr); 59 ierr = MatGetArray(jac->A,&a);CHKERRQ(ierr); 60 ierr = MatGetArray(jac->U,&u);CHKERRQ(ierr); 61 ierr = MatGetArray(jac->V,&v);CHKERRQ(ierr); 62 ierr = VecGetArray(jac->diag,&d);CHKERRQ(ierr); 63 #if !defined(PETSC_USE_COMPLEX) 64 LAPACKgesvd_("A","A",&nb,&nb,a,&nb,d,u,&nb,v,&nb,work,&lwork,&lierr); 65 #else 66 SETERRQ(PETSC_COMM_SELF,PETSC_ERR_SUP,"Not coded for complex"); 67 #endif 68 if (lierr) SETERRQ1(PETSC_COMM_SELF,PETSC_ERR_LIB,"gesv() error %d",lierr); 69 ierr = MatRestoreArray(jac->A,&a);CHKERRQ(ierr); 70 ierr = MatRestoreArray(jac->U,&u);CHKERRQ(ierr); 71 ierr = MatRestoreArray(jac->V,&v);CHKERRQ(ierr); 72 for (i=n-1; i>=0; i--) if (PetscRealPart(d[i]) > jac->zerosing) break; 73 jac->nzero = n-1-i; 74 if (jac->monitor) { 75 ierr = PetscViewerASCIIAddTab(jac->monitor,((PetscObject)pc)->tablevel);CHKERRQ(ierr); 76 ierr = PetscViewerASCIIPrintf(jac->monitor," SVD: condition number %14.12e, %D of %D singular values are (nearly) zero\n",(double)PetscRealPart(d[0]/d[n-1]),jac->nzero,n);CHKERRQ(ierr); 77 if (n >= 10) { /* print 5 smallest and 5 largest */ 78 ierr = PetscViewerASCIIPrintf(jac->monitor," SVD: smallest singular values: %14.12e %14.12e %14.12e %14.12e %14.12e\n",(double)PetscRealPart(d[n-1]),(double)PetscRealPart(d[n-2]),(double)PetscRealPart(d[n-3]),(double)PetscRealPart(d[n-4]),(double)PetscRealPart(d[n-5]));CHKERRQ(ierr); 79 ierr = PetscViewerASCIIPrintf(jac->monitor," SVD: largest singular values : %14.12e %14.12e %14.12e %14.12e %14.12e\n",(double)PetscRealPart(d[4]),(double)PetscRealPart(d[3]),(double)PetscRealPart(d[2]),(double)PetscRealPart(d[1]),(double)PetscRealPart(d[0]));CHKERRQ(ierr); 80 } else { /* print all singular values */ 81 char buf[256],*p; 82 size_t left = sizeof buf,used; 83 PetscInt thisline; 84 for (p=buf,i=n-1,thisline=1; i>=0; i--,thisline++) { 85 ierr = PetscSNPrintfCount(p,left," %14.12e",&used,(double)PetscRealPart(d[i]));CHKERRQ(ierr); 86 left -= used; 87 p += used; 88 if (thisline > 4 || i==0) { 89 ierr = PetscViewerASCIIPrintf(jac->monitor," SVD: singular values:%s\n",buf);CHKERRQ(ierr); 90 p = buf; 91 thisline = 0; 92 } 93 } 94 } 95 ierr = PetscViewerASCIISubtractTab(jac->monitor,((PetscObject)pc)->tablevel);CHKERRQ(ierr); 96 } 97 ierr = PetscInfo2(pc,"Largest and smallest singular values %14.12e %14.12e\n",(double)PetscRealPart(d[0]),(double)PetscRealPart(d[n-1])); 98 for (i=0; i<n-jac->nzero; i++) d[i] = 1.0/d[i]; 99 for (; i<n; i++) d[i] = 0.0; 100 ierr = PetscInfo1(pc,"Number of zero or nearly singular values %D\n",jac->nzero); 101 ierr = VecRestoreArray(jac->diag,&d);CHKERRQ(ierr); 102 #if defined(foo) 103 { 104 PetscViewer viewer; 105 ierr = PetscViewerBinaryOpen(PETSC_COMM_SELF,"joe",FILE_MODE_WRITE,&viewer);CHKERRQ(ierr); 106 ierr = MatView(jac->A,viewer);CHKERRQ(ierr); 107 ierr = MatView(jac->U,viewer);CHKERRQ(ierr); 108 ierr = MatView(jac->V,viewer);CHKERRQ(ierr); 109 ierr = VecView(jac->diag,viewer);CHKERRQ(ierr); 110 ierr = PetscViewerDestroy(viewer);CHKERRQ(ierr); 111 } 112 #endif 113 ierr = PetscFree(work); 114 PetscFunctionReturn(0); 115 #endif 116 } 117 118 /* -------------------------------------------------------------------------- */ 119 /* 120 PCApply_SVD - Applies the SVD preconditioner to a vector. 121 122 Input Parameters: 123 . pc - the preconditioner context 124 . x - input vector 125 126 Output Parameter: 127 . y - output vector 128 129 Application Interface Routine: PCApply() 130 */ 131 #undef __FUNCT__ 132 #define __FUNCT__ "PCApply_SVD" 133 static PetscErrorCode PCApply_SVD(PC pc,Vec x,Vec y) 134 { 135 PC_SVD *jac = (PC_SVD*)pc->data; 136 Vec work = jac->work; 137 PetscErrorCode ierr; 138 139 PetscFunctionBegin; 140 ierr = MatMultTranspose(jac->U,x,work);CHKERRQ(ierr); 141 ierr = VecPointwiseMult(work,work,jac->diag);CHKERRQ(ierr); 142 ierr = MatMultTranspose(jac->V,work,y);CHKERRQ(ierr); 143 PetscFunctionReturn(0); 144 } 145 146 #undef __FUNCT__ 147 #define __FUNCT__ "PCReset_SVD" 148 static PetscErrorCode PCReset_SVD(PC pc) 149 { 150 PC_SVD *jac = (PC_SVD*)pc->data; 151 PetscErrorCode ierr; 152 153 PetscFunctionBegin; 154 ierr = MatDestroy(&jac->A);CHKERRQ(ierr); 155 ierr = MatDestroy(&jac->U);CHKERRQ(ierr); 156 ierr = MatDestroy(&jac->V);CHKERRQ(ierr); 157 ierr = VecDestroy(&jac->diag);CHKERRQ(ierr); 158 ierr = VecDestroy(&jac->work);CHKERRQ(ierr); 159 PetscFunctionReturn(0); 160 } 161 162 /* -------------------------------------------------------------------------- */ 163 /* 164 PCDestroy_SVD - Destroys the private context for the SVD preconditioner 165 that was created with PCCreate_SVD(). 166 167 Input Parameter: 168 . pc - the preconditioner context 169 170 Application Interface Routine: PCDestroy() 171 */ 172 #undef __FUNCT__ 173 #define __FUNCT__ "PCDestroy_SVD" 174 static PetscErrorCode PCDestroy_SVD(PC pc) 175 { 176 PC_SVD *jac = (PC_SVD*)pc->data; 177 PetscErrorCode ierr; 178 179 PetscFunctionBegin; 180 ierr = PCReset_SVD(pc);CHKERRQ(ierr); 181 ierr = PetscViewerDestroy(&jac->monitor);CHKERRQ(ierr); 182 ierr = PetscFree(pc->data);CHKERRQ(ierr); 183 PetscFunctionReturn(0); 184 } 185 186 #undef __FUNCT__ 187 #define __FUNCT__ "PCSetFromOptions_SVD" 188 static PetscErrorCode PCSetFromOptions_SVD(PC pc) 189 { 190 PetscErrorCode ierr; 191 PC_SVD *jac = (PC_SVD*)pc->data; 192 PetscBool flg,set; 193 194 PetscFunctionBegin; 195 ierr = PetscOptionsHead("SVD options");CHKERRQ(ierr); 196 ierr = PetscOptionsReal("-pc_svd_zero_sing","Singular values smaller than this treated as zero","None",jac->zerosing,&jac->zerosing,PETSC_NULL);CHKERRQ(ierr); 197 ierr = PetscOptionsBool("-pc_svd_monitor","Monitor the conditioning, and extremeal singular values","None",jac->monitor?PETSC_TRUE:PETSC_FALSE,&flg,&set);CHKERRQ(ierr); 198 if (set) { /* Should make PCSVDSetMonitor() */ 199 if (flg && !jac->monitor) { 200 ierr = PetscViewerASCIIOpen(((PetscObject)pc)->comm,"stdout",&jac->monitor);CHKERRQ(ierr); 201 } else if (!flg) { 202 ierr = PetscViewerDestroy(&jac->monitor);CHKERRQ(ierr); 203 } 204 } 205 ierr = PetscOptionsTail();CHKERRQ(ierr); 206 PetscFunctionReturn(0); 207 } 208 209 /* -------------------------------------------------------------------------- */ 210 /* 211 PCCreate_SVD - Creates a SVD preconditioner context, PC_SVD, 212 and sets this as the private data within the generic preconditioning 213 context, PC, that was created within PCCreate(). 214 215 Input Parameter: 216 . pc - the preconditioner context 217 218 Application Interface Routine: PCCreate() 219 */ 220 221 /*MC 222 PCSVD - Use pseudo inverse defined by SVD of operator 223 224 Level: advanced 225 226 Concepts: SVD 227 228 Options Database: 229 . -pc_svd_zero_sing <rtol> Singular values smaller than this are treated as zero 230 231 .seealso: PCCreate(), PCSetType(), PCType (for list of available types), PC 232 M*/ 233 234 EXTERN_C_BEGIN 235 #undef __FUNCT__ 236 #define __FUNCT__ "PCCreate_SVD" 237 PetscErrorCode PCCreate_SVD(PC pc) 238 { 239 PC_SVD *jac; 240 PetscErrorCode ierr; 241 242 PetscFunctionBegin; 243 /* 244 Creates the private data structure for this preconditioner and 245 attach it to the PC object. 246 */ 247 ierr = PetscNewLog(pc,PC_SVD,&jac);CHKERRQ(ierr); 248 jac->zerosing = 1.e-12; 249 pc->data = (void*)jac; 250 251 /* 252 Set the pointers for the functions that are provided above. 253 Now when the user-level routines (such as PCApply(), PCDestroy(), etc.) 254 are called, they will automatically call these functions. Note we 255 choose not to provide a couple of these functions since they are 256 not needed. 257 */ 258 pc->ops->apply = PCApply_SVD; 259 pc->ops->applytranspose = PCApply_SVD; 260 pc->ops->setup = PCSetUp_SVD; 261 pc->ops->reset = PCReset_SVD; 262 pc->ops->destroy = PCDestroy_SVD; 263 pc->ops->setfromoptions = PCSetFromOptions_SVD; 264 pc->ops->view = 0; 265 pc->ops->applyrichardson = 0; 266 PetscFunctionReturn(0); 267 } 268 EXTERN_C_END 269 270