1 #include <../src/snes/impls/richardson/snesrichardsonimpl.h> 2 3 4 #undef __FUNCT__ 5 #define __FUNCT__ "SNESReset_NRichardson" 6 PetscErrorCode SNESReset_NRichardson(SNES snes) 7 { 8 PetscFunctionBegin; 9 PetscFunctionReturn(0); 10 } 11 12 /* 13 SNESDestroy_NRichardson - Destroys the private SNES_NRichardson context that was created with SNESCreate_NRichardson(). 14 15 Input Parameter: 16 . snes - the SNES context 17 18 Application Interface Routine: SNESDestroy() 19 */ 20 #undef __FUNCT__ 21 #define __FUNCT__ "SNESDestroy_NRichardson" 22 PetscErrorCode SNESDestroy_NRichardson(SNES snes) 23 { 24 PetscErrorCode ierr; 25 26 PetscFunctionBegin; 27 ierr = SNESReset_NRichardson(snes);CHKERRQ(ierr); 28 ierr = PetscFree(snes->data);CHKERRQ(ierr); 29 PetscFunctionReturn(0); 30 } 31 32 /* 33 SNESSetUp_NRichardson - Sets up the internal data structures for the later use 34 of the SNESNRICHARDSON nonlinear solver. 35 36 Input Parameters: 37 + snes - the SNES context 38 - x - the solution vector 39 40 Application Interface Routine: SNESSetUp() 41 */ 42 #undef __FUNCT__ 43 #define __FUNCT__ "SNESSetUp_NRichardson" 44 PetscErrorCode SNESSetUp_NRichardson(SNES snes) 45 { 46 PetscFunctionBegin; 47 PetscFunctionReturn(0); 48 } 49 50 /* 51 SNESSetFromOptions_NRichardson - Sets various parameters for the SNESNEWTONLS method. 52 53 Input Parameter: 54 . snes - the SNES context 55 56 Application Interface Routine: SNESSetFromOptions() 57 */ 58 #undef __FUNCT__ 59 #define __FUNCT__ "SNESSetFromOptions_NRichardson" 60 static PetscErrorCode SNESSetFromOptions_NRichardson(SNES snes) 61 { 62 PetscErrorCode ierr; 63 SNESLineSearch linesearch; 64 65 PetscFunctionBegin; 66 ierr = PetscOptionsHead("SNES Richardson options");CHKERRQ(ierr); 67 ierr = PetscOptionsTail();CHKERRQ(ierr); 68 if (!snes->linesearch) { 69 ierr = SNESGetLineSearch(snes, &linesearch);CHKERRQ(ierr); 70 ierr = SNESLineSearchSetType(linesearch, SNESLINESEARCHL2);CHKERRQ(ierr); 71 } 72 PetscFunctionReturn(0); 73 } 74 75 /* 76 SNESView_NRichardson - Prints info from the SNESRichardson data structure. 77 78 Input Parameters: 79 + SNES - the SNES context 80 - viewer - visualization context 81 82 Application Interface Routine: SNESView() 83 */ 84 #undef __FUNCT__ 85 #define __FUNCT__ "SNESView_NRichardson" 86 static PetscErrorCode SNESView_NRichardson(SNES snes, PetscViewer viewer) 87 { 88 PetscBool iascii; 89 PetscErrorCode ierr; 90 91 PetscFunctionBegin; 92 ierr = PetscObjectTypeCompare((PetscObject) viewer, PETSCVIEWERASCII, &iascii);CHKERRQ(ierr); 93 if (iascii) { 94 } 95 PetscFunctionReturn(0); 96 } 97 98 /* 99 SNESSolve_NRichardson - Solves a nonlinear system with the Richardson method. 100 101 Input Parameters: 102 . snes - the SNES context 103 104 Output Parameter: 105 . outits - number of iterations until termination 106 107 Application Interface Routine: SNESSolve() 108 */ 109 #undef __FUNCT__ 110 #define __FUNCT__ "SNESSolve_NRichardson" 111 PetscErrorCode SNESSolve_NRichardson(SNES snes) 112 { 113 Vec X, Y, F; 114 PetscReal xnorm, fnorm, ynorm; 115 PetscInt maxits, i; 116 PetscErrorCode ierr; 117 PetscBool lsSuccess; 118 SNESConvergedReason reason; 119 120 PetscFunctionBegin; 121 snes->reason = SNES_CONVERGED_ITERATING; 122 123 maxits = snes->max_its; /* maximum number of iterations */ 124 X = snes->vec_sol; /* X^n */ 125 Y = snes->vec_sol_update; /* \tilde X */ 126 F = snes->vec_func; /* residual vector */ 127 128 ierr = PetscObjectAMSTakeAccess((PetscObject)snes);CHKERRQ(ierr); 129 snes->iter = 0; 130 snes->norm = 0.; 131 ierr = PetscObjectAMSGrantAccess((PetscObject)snes);CHKERRQ(ierr); 132 if (!snes->vec_func_init_set) { 133 ierr = SNESComputeFunction(snes,X,F);CHKERRQ(ierr); 134 if (snes->domainerror) { 135 snes->reason = SNES_DIVERGED_FUNCTION_DOMAIN; 136 PetscFunctionReturn(0); 137 } 138 } else snes->vec_func_init_set = PETSC_FALSE; 139 140 if (!snes->norm_init_set) { 141 ierr = VecNorm(F,NORM_2,&fnorm);CHKERRQ(ierr); /* fnorm <- ||F|| */ 142 if (PetscIsInfOrNanReal(fnorm)) { 143 snes->reason = SNES_DIVERGED_FNORM_NAN; 144 PetscFunctionReturn(0); 145 } 146 } else { 147 fnorm = snes->norm_init; 148 snes->norm_init_set = PETSC_FALSE; 149 } 150 151 ierr = PetscObjectAMSTakeAccess((PetscObject)snes);CHKERRQ(ierr); 152 snes->norm = fnorm; 153 ierr = PetscObjectAMSGrantAccess((PetscObject)snes);CHKERRQ(ierr); 154 ierr = SNESLogConvergenceHistory(snes,fnorm,0);CHKERRQ(ierr); 155 ierr = SNESMonitor(snes,0,fnorm);CHKERRQ(ierr); 156 157 /* set parameter for default relative tolerance convergence test */ 158 snes->ttol = fnorm*snes->rtol; 159 /* test convergence */ 160 ierr = (*snes->ops->converged)(snes,0,0.0,0.0,fnorm,&snes->reason,snes->cnvP);CHKERRQ(ierr); 161 if (snes->reason) PetscFunctionReturn(0); 162 163 for (i = 0; i < maxits; i++) { 164 lsSuccess = PETSC_TRUE; 165 /* Call general purpose update function */ 166 if (snes->ops->update) { 167 ierr = (*snes->ops->update)(snes, snes->iter);CHKERRQ(ierr); 168 } 169 if (snes->pc && snes->pcside == PC_RIGHT) { 170 ierr = VecCopy(X,Y);CHKERRQ(ierr); 171 ierr = SNESSetInitialFunction(snes->pc, F);CHKERRQ(ierr); 172 ierr = SNESSetInitialFunctionNorm(snes->pc, fnorm);CHKERRQ(ierr); 173 ierr = PetscLogEventBegin(SNES_NPCSolve,snes->pc,Y,snes->vec_rhs,0);CHKERRQ(ierr); 174 ierr = SNESSolve(snes->pc, snes->vec_rhs, Y);CHKERRQ(ierr); 175 ierr = PetscLogEventEnd(SNES_NPCSolve,snes->pc,Y,snes->vec_rhs,0);CHKERRQ(ierr); 176 ierr = SNESGetConvergedReason(snes->pc,&reason);CHKERRQ(ierr); 177 if (reason < 0 && reason != SNES_DIVERGED_MAX_IT) { 178 snes->reason = SNES_DIVERGED_INNER; 179 PetscFunctionReturn(0); 180 } 181 ierr = VecAYPX(Y,-1.0,X);CHKERRQ(ierr); 182 } else { 183 ierr = VecCopy(F,Y);CHKERRQ(ierr); 184 } 185 ierr = SNESLineSearchApply(snes->linesearch, X, F, &fnorm, Y);CHKERRQ(ierr); 186 ierr = SNESLineSearchGetNorms(snes->linesearch, &xnorm, &fnorm, &ynorm);CHKERRQ(ierr); 187 ierr = SNESLineSearchGetSuccess(snes->linesearch, &lsSuccess);CHKERRQ(ierr); 188 if (!lsSuccess) { 189 if (++snes->numFailures >= snes->maxFailures) { 190 snes->reason = SNES_DIVERGED_LINE_SEARCH; 191 break; 192 } 193 } 194 if (snes->nfuncs >= snes->max_funcs) { 195 snes->reason = SNES_DIVERGED_FUNCTION_COUNT; 196 break; 197 } 198 if (snes->domainerror) { 199 snes->reason = SNES_DIVERGED_FUNCTION_DOMAIN; 200 PetscFunctionReturn(0); 201 } 202 /* Monitor convergence */ 203 ierr = PetscObjectAMSTakeAccess((PetscObject)snes);CHKERRQ(ierr); 204 snes->iter = i+1; 205 snes->norm = fnorm; 206 ierr = PetscObjectAMSGrantAccess((PetscObject)snes);CHKERRQ(ierr); 207 ierr = SNESLogConvergenceHistory(snes,snes->norm,0);CHKERRQ(ierr); 208 ierr = SNESMonitor(snes,snes->iter,snes->norm);CHKERRQ(ierr); 209 /* Test for convergence */ 210 ierr = (*snes->ops->converged)(snes,snes->iter,xnorm,ynorm,fnorm,&snes->reason,snes->cnvP);CHKERRQ(ierr); 211 if (snes->reason) break; 212 } 213 if (i == maxits) { 214 ierr = PetscInfo1(snes, "Maximum number of iterations has been reached: %D\n", maxits);CHKERRQ(ierr); 215 if (!snes->reason) snes->reason = SNES_DIVERGED_MAX_IT; 216 } 217 PetscFunctionReturn(0); 218 } 219 220 /*MC 221 SNESNRICHARDSON - Richardson nonlinear solver that uses successive substitutions, also sometimes known as Picard iteration. 222 223 Level: beginner 224 225 Options Database: 226 + -snes_linesearch_type <l2,cp,basic> Line search type. 227 - -snes_linesearch_damping<1.0> Damping for the line search. 228 229 Notes: If no inner nonlinear preconditioner is provided then solves F(x) - b = 0 using x^{n+1} = x^{n} - lambda 230 (F(x^n) - b) where lambda is obtained either SNESLineSearchSetDamping(), -snes_damping or a line search. If 231 an inner nonlinear preconditioner is provided (either with -npc_snes_type or SNESSetPC()) then the inner 232 solver is called an initial solution x^n and the nonlinear Richardson uses x^{n+1} = x^{n} + lambda d^{n} 233 where d^{n} = \hat{x}^{n} - x^{n} where \hat{x}^{n} is the solution returned from the inner solver. 234 235 The update, especially without inner nonlinear preconditioner, may be ill-scaled. If using the basic 236 linesearch, one may have to scale the update with -snes_linesearch_damping 237 238 This uses no derivative information thus will be much slower then Newton's method obtained with -snes_type ls 239 240 .seealso: SNESCreate(), SNES, SNESSetType(), SNESNEWTONLS, SNESNEWTONTR, SNESNGMRES, SNESQN, SNESNCG 241 M*/ 242 #undef __FUNCT__ 243 #define __FUNCT__ "SNESCreate_NRichardson" 244 PETSC_EXTERN PetscErrorCode SNESCreate_NRichardson(SNES snes) 245 { 246 PetscErrorCode ierr; 247 SNES_NRichardson *neP; 248 249 PetscFunctionBegin; 250 snes->ops->destroy = SNESDestroy_NRichardson; 251 snes->ops->setup = SNESSetUp_NRichardson; 252 snes->ops->setfromoptions = SNESSetFromOptions_NRichardson; 253 snes->ops->view = SNESView_NRichardson; 254 snes->ops->solve = SNESSolve_NRichardson; 255 snes->ops->reset = SNESReset_NRichardson; 256 257 snes->usesksp = PETSC_FALSE; 258 snes->usespc = PETSC_TRUE; 259 260 ierr = PetscNewLog(snes, SNES_NRichardson, &neP);CHKERRQ(ierr); 261 snes->data = (void*) neP; 262 263 if (!snes->tolerancesset) { 264 snes->max_funcs = 30000; 265 snes->max_its = 10000; 266 snes->stol = 1e-20; 267 } 268 PetscFunctionReturn(0); 269 } 270