1 #define PETSCMAT_DLL 2 3 /* 4 Implements the DS PETSc approach for computing the h 5 parameter used with the finite difference based matrix-free 6 Jacobian-vector products. 7 8 To make your own: clone this file and modify for your needs. 9 10 Mandatory functions: 11 ------------------- 12 MatMFFDCompute_ - for a given point and direction computes h 13 14 MatCreateMFFD _ - fills in the MatMFFD data structure 15 for this particular implementation 16 17 18 Optional functions: 19 ------------------- 20 MatMFFDView_ - prints information about the parameters being used. 21 This is called when SNESView() or -snes_view is used. 22 23 MatMFFDSetFromOptions_ - checks the options database for options that 24 apply to this method. 25 26 MatMFFDDestroy_ - frees any space allocated by the routines above 27 28 */ 29 30 /* 31 This include file defines the data structure MatMFFD that 32 includes information about the computation of h. It is shared by 33 all implementations that people provide 34 */ 35 #include "private/matimpl.h" 36 #include "../src/mat/impls/mffd/mffdimpl.h" /*I "petscmat.h" I*/ 37 38 /* 39 The method has one parameter that is used to 40 "cutoff" very small values. This is stored in a data structure 41 that is only visible to this file. If your method has no parameters 42 it can omit this, if it has several simply reorganize the data structure. 43 The data structure is "hung-off" the MatMFFD data structure in 44 the void *hctx; field. 45 */ 46 typedef struct { 47 PetscReal umin; /* minimum allowable u'a value relative to |u|_1 */ 48 } MatMFFD_DS; 49 50 #undef __FUNCT__ 51 #define __FUNCT__ "MatMFFDCompute_DS" 52 /* 53 MatMFFDCompute_DS - Standard PETSc code for computing the 54 differencing paramter (h) for use with matrix-free finite differences. 55 56 Input Parameters: 57 + ctx - the matrix free context 58 . U - the location at which you want the Jacobian 59 - a - the direction you want the derivative 60 61 62 Output Parameter: 63 . h - the scale computed 64 65 */ 66 static PetscErrorCode MatMFFDCompute_DS(MatMFFD ctx,Vec U,Vec a,PetscScalar *h,PetscBool *zeroa) 67 { 68 MatMFFD_DS *hctx = (MatMFFD_DS*)ctx->hctx; 69 PetscReal nrm,sum,umin = hctx->umin; 70 PetscScalar dot; 71 PetscErrorCode ierr; 72 73 PetscFunctionBegin; 74 if (!(ctx->count % ctx->recomputeperiod)) { 75 /* 76 This algorithm requires 2 norms and 1 inner product. Rather than 77 use directly the VecNorm() and VecDot() routines (and thus have 78 three separate collective operations, we use the VecxxxBegin/End() routines 79 */ 80 ierr = VecDotBegin(U,a,&dot);CHKERRQ(ierr); 81 ierr = VecNormBegin(a,NORM_1,&sum);CHKERRQ(ierr); 82 ierr = VecNormBegin(a,NORM_2,&nrm);CHKERRQ(ierr); 83 ierr = VecDotEnd(U,a,&dot);CHKERRQ(ierr); 84 ierr = VecNormEnd(a,NORM_1,&sum);CHKERRQ(ierr); 85 ierr = VecNormEnd(a,NORM_2,&nrm);CHKERRQ(ierr); 86 87 if (nrm == 0.0) { 88 *zeroa = PETSC_TRUE; 89 PetscFunctionReturn(0); 90 } 91 *zeroa = PETSC_FALSE; 92 93 /* 94 Safeguard for step sizes that are "too small" 95 */ 96 #if defined(PETSC_USE_COMPLEX) 97 if (PetscAbsScalar(dot) < umin*sum && PetscRealPart(dot) >= 0.0) dot = umin*sum; 98 else if (PetscAbsScalar(dot) < 0.0 && PetscRealPart(dot) > -umin*sum) dot = -umin*sum; 99 #else 100 if (dot < umin*sum && dot >= 0.0) dot = umin*sum; 101 else if (dot < 0.0 && dot > -umin*sum) dot = -umin*sum; 102 #endif 103 *h = ctx->error_rel*dot/(nrm*nrm); 104 } else { 105 *h = ctx->currenth; 106 } 107 if (*h != *h) SETERRQ3(PETSC_COMM_SELF,PETSC_ERR_PLIB,"Differencing parameter is not a number sum = %G dot = %G norm = %G",sum,PetscRealPart(dot),nrm); 108 ctx->count++; 109 PetscFunctionReturn(0); 110 } 111 112 #undef __FUNCT__ 113 #define __FUNCT__ "MatMFFDView_DS" 114 /* 115 MatMFFDView_DS - Prints information about this particular 116 method for computing h. Note that this does not print the general 117 information about the matrix-free method, as such info is printed 118 by the calling routine. 119 120 Input Parameters: 121 + ctx - the matrix free context 122 - viewer - the PETSc viewer 123 */ 124 static PetscErrorCode MatMFFDView_DS(MatMFFD ctx,PetscViewer viewer) 125 { 126 MatMFFD_DS *hctx = (MatMFFD_DS *)ctx->hctx; 127 PetscErrorCode ierr; 128 PetscBool iascii; 129 130 PetscFunctionBegin; 131 /* 132 Currently this only handles the ascii file viewers, others 133 could be added, but for this type of object other viewers 134 make less sense 135 */ 136 ierr = PetscTypeCompare((PetscObject)viewer,PETSCVIEWERASCII,&iascii);CHKERRQ(ierr); 137 if (iascii) { 138 ierr = PetscViewerASCIIPrintf(viewer," umin=%G (minimum iterate parameter)\n",hctx->umin);CHKERRQ(ierr); 139 } else { 140 SETERRQ1(PETSC_COMM_SELF,PETSC_ERR_SUP,"Viewer type %s not supported for this SNES matrix free matrix",((PetscObject)viewer)->type_name); 141 } 142 PetscFunctionReturn(0); 143 } 144 145 #undef __FUNCT__ 146 #define __FUNCT__ "MatMFFDSetFromOptions_DS" 147 /* 148 MatMFFDSetFromOptions_DS - Looks in the options database for 149 any options appropriate for this method. 150 151 Input Parameter: 152 . ctx - the matrix free context 153 154 */ 155 static PetscErrorCode MatMFFDSetFromOptions_DS(MatMFFD ctx) 156 { 157 PetscErrorCode ierr; 158 MatMFFD_DS *hctx = (MatMFFD_DS*)ctx->hctx; 159 160 PetscFunctionBegin; 161 ierr = PetscOptionsHead("Finite difference matrix free parameters");CHKERRQ(ierr); 162 ierr = PetscOptionsReal("-mat_mffd_umin","umin","MatMFFDDSSetUmin",hctx->umin,&hctx->umin,0);CHKERRQ(ierr); 163 ierr = PetscOptionsTail();CHKERRQ(ierr); 164 PetscFunctionReturn(0); 165 } 166 167 #undef __FUNCT__ 168 #define __FUNCT__ "MatMFFDDestroy_DS" 169 /* 170 MatMFFDDestroy_DS - Frees the space allocated by 171 MatCreateMFFD_DS(). 172 173 Input Parameter: 174 . ctx - the matrix free context 175 176 Notes: 177 Does not free the ctx, that is handled by the calling routine 178 */ 179 static PetscErrorCode MatMFFDDestroy_DS(MatMFFD ctx) 180 { 181 PetscErrorCode ierr; 182 183 PetscFunctionBegin; 184 ierr = PetscFree(ctx->hctx);CHKERRQ(ierr); 185 PetscFunctionReturn(0); 186 } 187 188 EXTERN_C_BEGIN 189 #undef __FUNCT__ 190 #define __FUNCT__ "MatMFFDDSSetUmin_DS" 191 /* 192 The following two routines use the PetscObjectCompose() and PetscObjectQuery() 193 mechanism to allow the user to change the Umin parameter used in this method. 194 */ 195 PetscErrorCode MatMFFDDSSetUmin_DS(Mat mat,PetscReal umin) 196 { 197 MatMFFD ctx = (MatMFFD)mat->data; 198 MatMFFD_DS *hctx; 199 200 PetscFunctionBegin; 201 if (!ctx) SETERRQ(PETSC_COMM_SELF,PETSC_ERR_ARG_WRONG,"MatMFFDDSSetUmin() attached to non-shell matrix"); 202 hctx = (MatMFFD_DS*)ctx->hctx; 203 hctx->umin = umin; 204 PetscFunctionReturn(0); 205 } 206 EXTERN_C_END 207 208 #undef __FUNCT__ 209 #define __FUNCT__ "MatMFFDDSSetUmin" 210 /*@ 211 MatMFFDDSSetUmin - Sets the "umin" parameter used by the 212 PETSc routine for computing the differencing parameter, h, which is used 213 for matrix-free Jacobian-vector products. 214 215 Input Parameters: 216 + A - the matrix created with MatCreateSNESMF() 217 - umin - the parameter 218 219 Level: advanced 220 221 Notes: 222 See the manual page for MatCreateSNESMF() for a complete description of the 223 algorithm used to compute h. 224 225 .seealso: MatMFFDSetFunctionError(), MatCreateSNESMF() 226 227 @*/ 228 PetscErrorCode MatMFFDDSSetUmin(Mat A,PetscReal umin) 229 { 230 PetscErrorCode ierr; 231 232 PetscFunctionBegin; 233 PetscValidHeaderSpecific(A,MAT_CLASSID,1); 234 ierr = PetscTryMethod(A,"MatMFFDDSSetUmin_C",(Mat,PetscReal),(A,umin));CHKERRQ(ierr); 235 PetscFunctionReturn(0); 236 } 237 238 /*MC 239 MATMFFD_DS - the code for compute the "h" used in the finite difference 240 matrix-free matrix vector product. This code 241 implements the strategy in Dennis and Schnabel, "Numerical Methods for Unconstrained 242 Optimization and Nonlinear Equations". 243 244 Options Database Keys: 245 . -mat_mffd_umin <umin> see MatMFFDDSSetUmin() 246 247 Level: intermediate 248 249 Notes: Requires 2 norms and 1 inner product, but they are computed together 250 so only one parallel collective operation is needed. See MATMFFD_WP for a method 251 (with GMRES) that requires NO collective operations. 252 253 Formula used: 254 F'(u)*a = [F(u+h*a) - F(u)]/h where 255 h = error_rel*u'a/||a||^2 if |u'a| > umin*||a||_{1} 256 = error_rel*umin*sign(u'a)*||a||_{1}/||a||^2 otherwise 257 where 258 error_rel = square root of relative error in function evaluation 259 umin = minimum iterate parameter 260 261 .seealso: MATMFFD, MatCreateMFFD(), MatCreateSNESMF(), MATMFFD_WP, MatMFFDDSSetUmin() 262 263 M*/ 264 EXTERN_C_BEGIN 265 #undef __FUNCT__ 266 #define __FUNCT__ "MatCreateMFFD_DS" 267 PetscErrorCode MatCreateMFFD_DS(MatMFFD ctx) 268 { 269 MatMFFD_DS *hctx; 270 PetscErrorCode ierr; 271 272 PetscFunctionBegin; 273 274 /* allocate my own private data structure */ 275 ierr = PetscNewLog(ctx,MatMFFD_DS,&hctx);CHKERRQ(ierr); 276 ctx->hctx = (void*)hctx; 277 /* set a default for my parameter */ 278 hctx->umin = 1.e-6; 279 280 /* set the functions I am providing */ 281 ctx->ops->compute = MatMFFDCompute_DS; 282 ctx->ops->destroy = MatMFFDDestroy_DS; 283 ctx->ops->view = MatMFFDView_DS; 284 ctx->ops->setfromoptions = MatMFFDSetFromOptions_DS; 285 286 ierr = PetscObjectComposeFunctionDynamic((PetscObject)ctx->mat,"MatMFFDDSSetUmin_C", 287 "MatMFFDDSSetUmin_DS", 288 MatMFFDDSSetUmin_DS);CHKERRQ(ierr); 289 PetscFunctionReturn(0); 290 } 291 EXTERN_C_END 292 293 294 295 296 297 298 299