1 2 #include <petsc-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; 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 { 65 PetscBLASInt lierr; 66 ierr = PetscFPTrapPush(PETSC_FP_TRAP_OFF);CHKERRQ(ierr); 67 LAPACKgesvd_("A","A",&nb,&nb,a,&nb,d,u,&nb,v,&nb,work,&lwork,&lierr); 68 if (lierr) SETERRQ1(PETSC_COMM_SELF,PETSC_ERR_LIB,"gesv() error %d",lierr); 69 ierr = PetscFPTrapPop();CHKERRQ(ierr); 70 } 71 #else 72 SETERRQ(PETSC_COMM_SELF,PETSC_ERR_SUP,"Not coded for complex"); 73 #endif 74 ierr = MatRestoreArray(jac->A,&a);CHKERRQ(ierr); 75 ierr = MatRestoreArray(jac->U,&u);CHKERRQ(ierr); 76 ierr = MatRestoreArray(jac->V,&v);CHKERRQ(ierr); 77 for (i=n-1; i>=0; i--) if (PetscRealPart(d[i]) > jac->zerosing) break; 78 jac->nzero = n-1-i; 79 if (jac->monitor) { 80 ierr = PetscViewerASCIIAddTab(jac->monitor,((PetscObject)pc)->tablevel);CHKERRQ(ierr); 81 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); 82 if (n >= 10) { /* print 5 smallest and 5 largest */ 83 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); 84 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); 85 } else { /* print all singular values */ 86 char buf[256],*p; 87 size_t left = sizeof buf,used; 88 PetscInt thisline; 89 for (p=buf,i=n-1,thisline=1; i>=0; i--,thisline++) { 90 ierr = PetscSNPrintfCount(p,left," %14.12e",&used,(double)PetscRealPart(d[i]));CHKERRQ(ierr); 91 left -= used; 92 p += used; 93 if (thisline > 4 || i==0) { 94 ierr = PetscViewerASCIIPrintf(jac->monitor," SVD: singular values:%s\n",buf);CHKERRQ(ierr); 95 p = buf; 96 thisline = 0; 97 } 98 } 99 } 100 ierr = PetscViewerASCIISubtractTab(jac->monitor,((PetscObject)pc)->tablevel);CHKERRQ(ierr); 101 } 102 ierr = PetscInfo2(pc,"Largest and smallest singular values %14.12e %14.12e\n",(double)PetscRealPart(d[0]),(double)PetscRealPart(d[n-1])); 103 for (i=0; i<n-jac->nzero; i++) d[i] = 1.0/d[i]; 104 for (; i<n; i++) d[i] = 0.0; 105 ierr = PetscInfo1(pc,"Number of zero or nearly singular values %D\n",jac->nzero); 106 ierr = VecRestoreArray(jac->diag,&d);CHKERRQ(ierr); 107 #if defined(foo) 108 { 109 PetscViewer viewer; 110 ierr = PetscViewerBinaryOpen(PETSC_COMM_SELF,"joe",FILE_MODE_WRITE,&viewer);CHKERRQ(ierr); 111 ierr = MatView(jac->A,viewer);CHKERRQ(ierr); 112 ierr = MatView(jac->U,viewer);CHKERRQ(ierr); 113 ierr = MatView(jac->V,viewer);CHKERRQ(ierr); 114 ierr = VecView(jac->diag,viewer);CHKERRQ(ierr); 115 ierr = PetscViewerDestroy(viewer);CHKERRQ(ierr); 116 } 117 #endif 118 ierr = PetscFree(work); 119 PetscFunctionReturn(0); 120 #endif 121 } 122 123 /* -------------------------------------------------------------------------- */ 124 /* 125 PCApply_SVD - Applies the SVD preconditioner to a vector. 126 127 Input Parameters: 128 . pc - the preconditioner context 129 . x - input vector 130 131 Output Parameter: 132 . y - output vector 133 134 Application Interface Routine: PCApply() 135 */ 136 #undef __FUNCT__ 137 #define __FUNCT__ "PCApply_SVD" 138 static PetscErrorCode PCApply_SVD(PC pc,Vec x,Vec y) 139 { 140 PC_SVD *jac = (PC_SVD*)pc->data; 141 Vec work = jac->work; 142 PetscErrorCode ierr; 143 144 PetscFunctionBegin; 145 ierr = MatMultTranspose(jac->U,x,work);CHKERRQ(ierr); 146 ierr = VecPointwiseMult(work,work,jac->diag);CHKERRQ(ierr); 147 ierr = MatMultTranspose(jac->V,work,y);CHKERRQ(ierr); 148 PetscFunctionReturn(0); 149 } 150 151 #undef __FUNCT__ 152 #define __FUNCT__ "PCReset_SVD" 153 static PetscErrorCode PCReset_SVD(PC pc) 154 { 155 PC_SVD *jac = (PC_SVD*)pc->data; 156 PetscErrorCode ierr; 157 158 PetscFunctionBegin; 159 ierr = MatDestroy(&jac->A);CHKERRQ(ierr); 160 ierr = MatDestroy(&jac->U);CHKERRQ(ierr); 161 ierr = MatDestroy(&jac->V);CHKERRQ(ierr); 162 ierr = VecDestroy(&jac->diag);CHKERRQ(ierr); 163 ierr = VecDestroy(&jac->work);CHKERRQ(ierr); 164 PetscFunctionReturn(0); 165 } 166 167 /* -------------------------------------------------------------------------- */ 168 /* 169 PCDestroy_SVD - Destroys the private context for the SVD preconditioner 170 that was created with PCCreate_SVD(). 171 172 Input Parameter: 173 . pc - the preconditioner context 174 175 Application Interface Routine: PCDestroy() 176 */ 177 #undef __FUNCT__ 178 #define __FUNCT__ "PCDestroy_SVD" 179 static PetscErrorCode PCDestroy_SVD(PC pc) 180 { 181 PC_SVD *jac = (PC_SVD*)pc->data; 182 PetscErrorCode ierr; 183 184 PetscFunctionBegin; 185 ierr = PCReset_SVD(pc);CHKERRQ(ierr); 186 ierr = PetscViewerDestroy(&jac->monitor);CHKERRQ(ierr); 187 ierr = PetscFree(pc->data);CHKERRQ(ierr); 188 PetscFunctionReturn(0); 189 } 190 191 #undef __FUNCT__ 192 #define __FUNCT__ "PCSetFromOptions_SVD" 193 static PetscErrorCode PCSetFromOptions_SVD(PC pc) 194 { 195 PetscErrorCode ierr; 196 PC_SVD *jac = (PC_SVD*)pc->data; 197 PetscBool flg,set; 198 199 PetscFunctionBegin; 200 ierr = PetscOptionsHead("SVD options");CHKERRQ(ierr); 201 ierr = PetscOptionsReal("-pc_svd_zero_sing","Singular values smaller than this treated as zero","None",jac->zerosing,&jac->zerosing,PETSC_NULL);CHKERRQ(ierr); 202 ierr = PetscOptionsBool("-pc_svd_monitor","Monitor the conditioning, and extremal singular values","None",jac->monitor?PETSC_TRUE:PETSC_FALSE,&flg,&set);CHKERRQ(ierr); 203 if (set) { /* Should make PCSVDSetMonitor() */ 204 if (flg && !jac->monitor) { 205 ierr = PetscViewerASCIIOpen(((PetscObject)pc)->comm,"stdout",&jac->monitor);CHKERRQ(ierr); 206 } else if (!flg) { 207 ierr = PetscViewerDestroy(&jac->monitor);CHKERRQ(ierr); 208 } 209 } 210 ierr = PetscOptionsTail();CHKERRQ(ierr); 211 PetscFunctionReturn(0); 212 } 213 214 /* -------------------------------------------------------------------------- */ 215 /* 216 PCCreate_SVD - Creates a SVD preconditioner context, PC_SVD, 217 and sets this as the private data within the generic preconditioning 218 context, PC, that was created within PCCreate(). 219 220 Input Parameter: 221 . pc - the preconditioner context 222 223 Application Interface Routine: PCCreate() 224 */ 225 226 /*MC 227 PCSVD - Use pseudo inverse defined by SVD of operator 228 229 Level: advanced 230 231 Concepts: SVD 232 233 Options Database: 234 - -pc_svd_zero_sing <rtol> Singular values smaller than this are treated as zero 235 + -pc_svd_monitor Print information on the extreme singular values of the operator 236 237 .seealso: PCCreate(), PCSetType(), PCType (for list of available types), PC 238 M*/ 239 240 EXTERN_C_BEGIN 241 #undef __FUNCT__ 242 #define __FUNCT__ "PCCreate_SVD" 243 PetscErrorCode PCCreate_SVD(PC pc) 244 { 245 PC_SVD *jac; 246 PetscErrorCode ierr; 247 248 PetscFunctionBegin; 249 /* 250 Creates the private data structure for this preconditioner and 251 attach it to the PC object. 252 */ 253 ierr = PetscNewLog(pc,PC_SVD,&jac);CHKERRQ(ierr); 254 jac->zerosing = 1.e-12; 255 pc->data = (void*)jac; 256 257 /* 258 Set the pointers for the functions that are provided above. 259 Now when the user-level routines (such as PCApply(), PCDestroy(), etc.) 260 are called, they will automatically call these functions. Note we 261 choose not to provide a couple of these functions since they are 262 not needed. 263 */ 264 pc->ops->apply = PCApply_SVD; 265 pc->ops->applytranspose = PCApply_SVD; 266 pc->ops->setup = PCSetUp_SVD; 267 pc->ops->reset = PCReset_SVD; 268 pc->ops->destroy = PCDestroy_SVD; 269 pc->ops->setfromoptions = PCSetFromOptions_SVD; 270 pc->ops->view = 0; 271 pc->ops->applyrichardson = 0; 272 PetscFunctionReturn(0); 273 } 274 EXTERN_C_END 275 276