1 #include <../src/snes/impls/gs/gsimpl.h> /*I "petscsnes.h" I*/ 2 3 /*@ 4 SNESNGSSetTolerances - Sets various parameters used in convergence tests for nonlinear Gauss-Seidel `SNESNCG` 5 6 Logically Collective 7 8 Input Parameters: 9 + snes - the `SNES` context 10 . abstol - absolute convergence tolerance 11 . rtol - relative convergence tolerance 12 . stol - convergence tolerance in terms of the norm of the change in the solution between steps, || delta x || < stol*|| x || 13 - maxit - maximum number of iterations 14 15 Options Database Keys: 16 + -snes_ngs_atol <abstol> - Sets abstol 17 . -snes_ngs_rtol <rtol> - Sets rtol 18 . -snes_ngs_stol <stol> - Sets stol 19 - -snes_max_it <maxit> - Sets maxit 20 21 Level: intermediate 22 23 .seealso: `SNESNCG`, `SNESSetTrustRegionTolerance()` 24 @*/ 25 PetscErrorCode SNESNGSSetTolerances(SNES snes, PetscReal abstol, PetscReal rtol, PetscReal stol, PetscInt maxit) 26 { 27 SNES_NGS *gs = (SNES_NGS *)snes->data; 28 29 PetscFunctionBegin; 30 PetscValidHeaderSpecific(snes, SNES_CLASSID, 1); 31 32 if (abstol != (PetscReal)PETSC_DEFAULT) { 33 PetscCheck(abstol >= 0.0, PetscObjectComm((PetscObject)snes), PETSC_ERR_ARG_OUTOFRANGE, "Absolute tolerance %g must be non-negative", (double)abstol); 34 gs->abstol = abstol; 35 } 36 if (rtol != (PetscReal)PETSC_DEFAULT) { 37 PetscCheck(rtol >= 0.0 && rtol < 1.0, PetscObjectComm((PetscObject)snes), PETSC_ERR_ARG_OUTOFRANGE, "Relative tolerance %g must be non-negative and less than 1.0", (double)rtol); 38 gs->rtol = rtol; 39 } 40 if (stol != (PetscReal)PETSC_DEFAULT) { 41 PetscCheck(stol >= 0.0, PetscObjectComm((PetscObject)snes), PETSC_ERR_ARG_OUTOFRANGE, "Step tolerance %g must be non-negative", (double)stol); 42 gs->stol = stol; 43 } 44 if (maxit != PETSC_DEFAULT) { 45 PetscCheck(maxit >= 0, PetscObjectComm((PetscObject)snes), PETSC_ERR_ARG_OUTOFRANGE, "Maximum number of iterations %" PetscInt_FMT " must be non-negative", maxit); 46 gs->max_its = maxit; 47 } 48 PetscFunctionReturn(PETSC_SUCCESS); 49 } 50 51 /*@ 52 SNESNGSGetTolerances - Gets various parameters used in convergence tests for nonlinear Gauss-Seidel `SNESNCG` 53 54 Not Collective 55 56 Input Parameters: 57 + snes - the `SNES` context 58 . atol - absolute convergence tolerance 59 . rtol - relative convergence tolerance 60 . stol - convergence tolerance in terms of the norm 61 of the change in the solution between steps 62 - maxit - maximum number of iterations 63 64 Level: intermediate 65 66 Note: 67 The user can specify NULL for any parameter that is not needed. 68 69 .seealso: `SNESNCG`, `SNESSetTolerances()` 70 @*/ 71 PetscErrorCode SNESNGSGetTolerances(SNES snes, PetscReal *atol, PetscReal *rtol, PetscReal *stol, PetscInt *maxit) 72 { 73 SNES_NGS *gs = (SNES_NGS *)snes->data; 74 75 PetscFunctionBegin; 76 PetscValidHeaderSpecific(snes, SNES_CLASSID, 1); 77 if (atol) *atol = gs->abstol; 78 if (rtol) *rtol = gs->rtol; 79 if (stol) *stol = gs->stol; 80 if (maxit) *maxit = gs->max_its; 81 PetscFunctionReturn(PETSC_SUCCESS); 82 } 83 84 /*@ 85 SNESNGSSetSweeps - Sets the number of sweeps of nonlinear GS to use in `SNESNCG` 86 87 Input Parameters: 88 + snes - the `SNES` context 89 - sweeps - the number of sweeps of nonlinear GS to perform. 90 91 Options Database Key: 92 . -snes_ngs_sweeps <n> - Number of sweeps of nonlinear GS to apply 93 94 Level: intermediate 95 96 .seealso: `SNESNCG`, `SNESSetNGS()`, `SNESGetNGS()`, `SNESSetNPC()`, `SNESNGSGetSweeps()` 97 @*/ 98 PetscErrorCode SNESNGSSetSweeps(SNES snes, PetscInt sweeps) 99 { 100 SNES_NGS *gs = (SNES_NGS *)snes->data; 101 102 PetscFunctionBegin; 103 PetscValidHeaderSpecific(snes, SNES_CLASSID, 1); 104 gs->sweeps = sweeps; 105 PetscFunctionReturn(PETSC_SUCCESS); 106 } 107 108 /*@ 109 SNESNGSGetSweeps - Gets the number of sweeps nonlinear GS will use in `SNESNCG` 110 111 Input Parameter: 112 . snes - the `SNES` context 113 114 Output Parameter: 115 . sweeps - the number of sweeps of nonlinear GS to perform. 116 117 Level: intermediate 118 119 .seealso: `SNESNCG`, `SNESSetNGS()`, `SNESGetNGS()`, `SNESSetNPC()`, `SNESNGSSetSweeps()` 120 @*/ 121 PetscErrorCode SNESNGSGetSweeps(SNES snes, PetscInt *sweeps) 122 { 123 SNES_NGS *gs = (SNES_NGS *)snes->data; 124 125 PetscFunctionBegin; 126 PetscValidHeaderSpecific(snes, SNES_CLASSID, 1); 127 *sweeps = gs->sweeps; 128 PetscFunctionReturn(PETSC_SUCCESS); 129 } 130 131 static PetscErrorCode SNESReset_NGS(SNES snes) 132 { 133 SNES_NGS *gs = (SNES_NGS *)snes->data; 134 135 PetscFunctionBegin; 136 PetscCall(ISColoringDestroy(&gs->coloring)); 137 PetscFunctionReturn(PETSC_SUCCESS); 138 } 139 140 static PetscErrorCode SNESDestroy_NGS(SNES snes) 141 { 142 PetscFunctionBegin; 143 PetscCall(SNESReset_NGS(snes)); 144 PetscCall(PetscFree(snes->data)); 145 PetscFunctionReturn(PETSC_SUCCESS); 146 } 147 148 static PetscErrorCode SNESSetUp_NGS(SNES snes) 149 { 150 PetscErrorCode (*f)(SNES, Vec, Vec, void *); 151 152 PetscFunctionBegin; 153 PetscCall(SNESGetNGS(snes, &f, NULL)); 154 if (!f) PetscCall(SNESSetNGS(snes, SNESComputeNGSDefaultSecant, NULL)); 155 PetscFunctionReturn(PETSC_SUCCESS); 156 } 157 158 static PetscErrorCode SNESSetFromOptions_NGS(SNES snes, PetscOptionItems *PetscOptionsObject) 159 { 160 SNES_NGS *gs = (SNES_NGS *)snes->data; 161 PetscInt sweeps, max_its = PETSC_DEFAULT; 162 PetscReal rtol = PETSC_DEFAULT, atol = PETSC_DEFAULT, stol = PETSC_DEFAULT; 163 PetscBool flg, flg1, flg2, flg3; 164 165 PetscFunctionBegin; 166 PetscOptionsHeadBegin(PetscOptionsObject, "SNES GS options"); 167 /* GS Options */ 168 PetscCall(PetscOptionsInt("-snes_ngs_sweeps", "Number of sweeps of GS to apply", "SNESComputeGS", gs->sweeps, &sweeps, &flg)); 169 if (flg) PetscCall(SNESNGSSetSweeps(snes, sweeps)); 170 PetscCall(PetscOptionsReal("-snes_ngs_atol", "Absolute residual tolerance for GS iteration", "SNESComputeGS", gs->abstol, &atol, &flg)); 171 PetscCall(PetscOptionsReal("-snes_ngs_rtol", "Relative residual tolerance for GS iteration", "SNESComputeGS", gs->rtol, &rtol, &flg1)); 172 PetscCall(PetscOptionsReal("-snes_ngs_stol", "Absolute update tolerance for GS iteration", "SNESComputeGS", gs->stol, &stol, &flg2)); 173 PetscCall(PetscOptionsInt("-snes_ngs_max_it", "Maximum number of sweeps of GS to apply", "SNESComputeGS", gs->max_its, &max_its, &flg3)); 174 if (flg || flg1 || flg2 || flg3) PetscCall(SNESNGSSetTolerances(snes, atol, rtol, stol, max_its)); 175 flg = PETSC_FALSE; 176 PetscCall(PetscOptionsBool("-snes_ngs_secant", "Use finite difference secant approximation with coloring", "", flg, &flg, NULL)); 177 if (flg) { 178 PetscCall(SNESSetNGS(snes, SNESComputeNGSDefaultSecant, NULL)); 179 PetscCall(PetscInfo(snes, "Setting default finite difference secant approximation with coloring\n")); 180 } 181 PetscCall(PetscOptionsReal("-snes_ngs_secant_h", "Differencing parameter for secant search", "", gs->h, &gs->h, NULL)); 182 PetscCall(PetscOptionsBool("-snes_ngs_secant_mat_coloring", "Use the graph coloring of the Jacobian for the secant GS", "", gs->secant_mat, &gs->secant_mat, &flg)); 183 184 PetscOptionsHeadEnd(); 185 PetscFunctionReturn(PETSC_SUCCESS); 186 } 187 188 static PetscErrorCode SNESView_NGS(SNES snes, PetscViewer viewer) 189 { 190 PetscErrorCode (*f)(SNES, Vec, Vec, void *); 191 SNES_NGS *gs = (SNES_NGS *)snes->data; 192 PetscBool iascii; 193 194 PetscFunctionBegin; 195 PetscCall(PetscObjectTypeCompare((PetscObject)viewer, PETSCVIEWERASCII, &iascii)); 196 if (iascii) { 197 PetscCall(DMSNESGetNGS(snes->dm, &f, NULL)); 198 if (f == SNESComputeNGSDefaultSecant) PetscCall(PetscViewerASCIIPrintf(viewer, " Use finite difference secant approximation with coloring with h = %g \n", (double)gs->h)); 199 } 200 PetscFunctionReturn(PETSC_SUCCESS); 201 } 202 203 static PetscErrorCode SNESSolve_NGS(SNES snes) 204 { 205 Vec F; 206 Vec X; 207 Vec B; 208 PetscInt i; 209 PetscReal fnorm; 210 SNESNormSchedule normschedule; 211 212 PetscFunctionBegin; 213 214 PetscCheck(!snes->xl && !snes->xu && !snes->ops->computevariablebounds, PetscObjectComm((PetscObject)snes), PETSC_ERR_ARG_WRONGSTATE, "SNES solver %s does not support bounds", ((PetscObject)snes)->type_name); 215 216 PetscCall(PetscCitationsRegister(SNESCitation, &SNEScite)); 217 X = snes->vec_sol; 218 F = snes->vec_func; 219 B = snes->vec_rhs; 220 221 PetscCall(PetscObjectSAWsTakeAccess((PetscObject)snes)); 222 snes->iter = 0; 223 snes->norm = 0.; 224 PetscCall(PetscObjectSAWsGrantAccess((PetscObject)snes)); 225 snes->reason = SNES_CONVERGED_ITERATING; 226 227 PetscCall(SNESGetNormSchedule(snes, &normschedule)); 228 if (normschedule == SNES_NORM_ALWAYS || normschedule == SNES_NORM_INITIAL_ONLY || normschedule == SNES_NORM_INITIAL_FINAL_ONLY) { 229 /* compute the initial function and preconditioned update delX */ 230 if (!snes->vec_func_init_set) { 231 PetscCall(SNESComputeFunction(snes, X, F)); 232 } else snes->vec_func_init_set = PETSC_FALSE; 233 234 PetscCall(VecNorm(F, NORM_2, &fnorm)); /* fnorm <- ||F|| */ 235 SNESCheckFunctionNorm(snes, fnorm); 236 PetscCall(PetscObjectSAWsTakeAccess((PetscObject)snes)); 237 snes->iter = 0; 238 snes->norm = fnorm; 239 PetscCall(PetscObjectSAWsGrantAccess((PetscObject)snes)); 240 PetscCall(SNESLogConvergenceHistory(snes, snes->norm, 0)); 241 242 /* test convergence */ 243 PetscCall(SNESConverged(snes, 0, 0.0, 0.0, fnorm)); 244 PetscCall(SNESMonitor(snes, 0, snes->norm)); 245 if (snes->reason) PetscFunctionReturn(PETSC_SUCCESS); 246 } else { 247 PetscCall(PetscObjectSAWsGrantAccess((PetscObject)snes)); 248 PetscCall(SNESLogConvergenceHistory(snes, snes->norm, 0)); 249 } 250 251 /* Call general purpose update function */ 252 PetscTryTypeMethod(snes, update, snes->iter); 253 254 for (i = 0; i < snes->max_its; i++) { 255 PetscCall(SNESComputeNGS(snes, B, X)); 256 /* only compute norms if requested or about to exit due to maximum iterations */ 257 if (normschedule == SNES_NORM_ALWAYS || ((i == snes->max_its - 1) && (normschedule == SNES_NORM_INITIAL_FINAL_ONLY || normschedule == SNES_NORM_FINAL_ONLY))) { 258 PetscCall(SNESComputeFunction(snes, X, F)); 259 PetscCall(VecNorm(F, NORM_2, &fnorm)); /* fnorm <- ||F|| */ 260 SNESCheckFunctionNorm(snes, fnorm); 261 } 262 /* Monitor convergence */ 263 PetscCall(PetscObjectSAWsTakeAccess((PetscObject)snes)); 264 snes->iter = i + 1; 265 snes->norm = fnorm; 266 PetscCall(PetscObjectSAWsGrantAccess((PetscObject)snes)); 267 PetscCall(SNESLogConvergenceHistory(snes, snes->norm, snes->iter)); 268 /* Test for convergence */ 269 PetscCall(SNESConverged(snes, snes->iter, 0.0, 0.0, fnorm)); 270 PetscCall(SNESMonitor(snes, snes->iter, snes->norm)); 271 if (snes->reason) PetscFunctionReturn(PETSC_SUCCESS); 272 /* Call general purpose update function */ 273 PetscTryTypeMethod(snes, update, snes->iter); 274 } 275 PetscFunctionReturn(PETSC_SUCCESS); 276 } 277 278 /*MC 279 SNESNGS - Either calls the user-provided solution routine provided with `SNESSetNGS()` or does a finite difference secant approximation 280 using coloring. 281 282 Level: advanced 283 284 Options Database Keys: 285 + -snes_ngs_sweeps <n> - Number of sweeps of nonlinear GS to apply 286 . -snes_ngs_atol <atol> - Absolute residual tolerance for nonlinear GS iteration 287 . -snes_ngs_rtol <rtol> - Relative residual tolerance for nonlinear GS iteration 288 . -snes_ngs_stol <stol> - Absolute update tolerance for nonlinear GS iteration 289 . -snes_ngs_max_it <maxit> - Maximum number of sweeps of nonlinea GS to apply 290 . -snes_ngs_secant - Use pointwise secant local Jacobian approximation with coloring instead of user provided Gauss-Seidel routine, this is 291 used by default if no user provided Gauss-Seidel routine is available. Requires either that a `DM` that can compute a coloring 292 is available or a Jacobian sparse matrix is provided (from which to get the coloring). 293 . -snes_ngs_secant_h <h> - Differencing parameter for secant approximation 294 . -snes_ngs_secant_mat_coloring - Use the graph coloring of the Jacobian for the secant GS even if a DM is available. 295 - -snes_norm_schedule <none, always, initialonly, finalonly, initialfinalonly> - how often the residual norms are computed 296 297 Notes: 298 the Gauss-Seidel smoother is inherited through composition. If a solver has been created with `SNESGetNPC()`, it will have 299 its parent's Gauss-Seidel routine associated with it. 300 301 By default this routine computes the solution norm at each iteration, this can be time consuming, you can turn this off with `SNESSetNormSchedule()` 302 or -snes_norm_schedule none 303 304 References: 305 . * - Peter R. Brune, Matthew G. Knepley, Barry F. Smith, and Xuemin Tu, "Composing Scalable Nonlinear Algebraic Solvers", 306 SIAM Review, 57(4), 2015 307 308 .seealso: `SNESNCG`, `SNESCreate()`, `SNES`, `SNESSetType()`, `SNESSetNGS()`, `SNESType`, `SNESNGSSetSweeps()`, `SNESNGSSetTolerances()`, 309 `SNESSetNormSchedule()` 310 M*/ 311 312 PETSC_EXTERN PetscErrorCode SNESCreate_NGS(SNES snes) 313 { 314 SNES_NGS *gs; 315 316 PetscFunctionBegin; 317 snes->ops->destroy = SNESDestroy_NGS; 318 snes->ops->setup = SNESSetUp_NGS; 319 snes->ops->setfromoptions = SNESSetFromOptions_NGS; 320 snes->ops->view = SNESView_NGS; 321 snes->ops->solve = SNESSolve_NGS; 322 snes->ops->reset = SNESReset_NGS; 323 324 snes->usesksp = PETSC_FALSE; 325 snes->usesnpc = PETSC_FALSE; 326 327 snes->alwayscomputesfinalresidual = PETSC_FALSE; 328 329 if (!snes->tolerancesset) { 330 snes->max_its = 10000; 331 snes->max_funcs = 10000; 332 } 333 334 PetscCall(PetscNew(&gs)); 335 336 gs->sweeps = 1; 337 gs->rtol = 1e-5; 338 gs->abstol = PETSC_MACHINE_EPSILON; 339 gs->stol = 1000 * PETSC_MACHINE_EPSILON; 340 gs->max_its = 50; 341 gs->h = PETSC_SQRT_MACHINE_EPSILON; 342 343 snes->data = (void *)gs; 344 PetscFunctionReturn(PETSC_SUCCESS); 345 } 346