1 /* 2 Code for timestepping with implicit Theta method 3 */ 4 #include <petsc-private/tsimpl.h> /*I "petscts.h" I*/ 5 #include <petscsnesfas.h> 6 7 typedef struct { 8 Vec X,Xdot; /* Storage for one stage */ 9 Vec affine; /* Affine vector needed for residual at beginning of step */ 10 PetscBool extrapolate; 11 PetscBool endpoint; 12 PetscReal Theta; 13 PetscReal shift; 14 PetscReal stage_time; 15 } TS_Theta; 16 17 #undef __FUNCT__ 18 #define __FUNCT__ "TSThetaGetX0AndXdot" 19 static PetscErrorCode TSThetaGetX0AndXdot(TS ts,DM dm,Vec *X0,Vec *Xdot) 20 { 21 TS_Theta *th = (TS_Theta*)ts->data; 22 PetscErrorCode ierr; 23 24 PetscFunctionBegin; 25 if (X0) { 26 if (dm && dm != ts->dm) { 27 ierr = PetscObjectQuery((PetscObject)dm,"TSTheta_X0",(PetscObject*)X0);CHKERRQ(ierr); 28 if (!*X0) SETERRQ(((PetscObject)ts)->comm,PETSC_ERR_ARG_INCOMP,"TSTheta_X0 has not been composed with DM from SNES"); 29 } else *X0 = ts->vec_sol; 30 } 31 if (Xdot) { 32 if (dm && dm != ts->dm) { 33 ierr = PetscObjectQuery((PetscObject)dm,"TSTheta_Xdot",(PetscObject*)Xdot);CHKERRQ(ierr); 34 if (!*Xdot) SETERRQ(((PetscObject)ts)->comm,PETSC_ERR_ARG_INCOMP,"TSTheta_Xdot has not been composed with DM from SNES"); 35 } else *Xdot = th->Xdot; 36 } 37 PetscFunctionReturn(0); 38 } 39 40 #undef __FUNCT__ 41 #define __FUNCT__ "DMCoarsenHook_TSTheta" 42 static PetscErrorCode DMCoarsenHook_TSTheta(DM fine,DM coarse,void *ctx) 43 { 44 Vec X0,Xdot; 45 PetscErrorCode ierr; 46 47 PetscFunctionBegin; 48 ierr = DMCreateGlobalVector(coarse,&X0);CHKERRQ(ierr); 49 ierr = DMCreateGlobalVector(coarse,&Xdot);CHKERRQ(ierr); 50 /* Oh noes, this would create a loop because the Vec holds a reference to the DM. 51 Making a PetscContainer to hold these Vecs would make the following call succeed, but would create a reference loop. 52 Need to decide on a way to break the reference counting loop. 53 */ 54 ierr = PetscObjectCompose((PetscObject)coarse,"TSTheta_X0",(PetscObject)X0);CHKERRQ(ierr); 55 ierr = PetscObjectCompose((PetscObject)coarse,"TSTheta_Xdot",(PetscObject)Xdot);CHKERRQ(ierr); 56 ierr = VecDestroy(&X0);CHKERRQ(ierr); 57 ierr = VecDestroy(&Xdot);CHKERRQ(ierr); 58 PetscFunctionReturn(0); 59 } 60 61 #undef __FUNCT__ 62 #define __FUNCT__ "DMRestrictHook_TSTheta" 63 static PetscErrorCode DMRestrictHook_TSTheta(DM fine,Mat restrct,Vec rscale,Mat inject,DM coarse,void *ctx) 64 { 65 TS ts = (TS)ctx; 66 PetscErrorCode ierr; 67 Vec X0,Xdot,X0_c,Xdot_c; 68 69 PetscFunctionBegin; 70 ierr = TSThetaGetX0AndXdot(ts,fine,&X0,&Xdot);CHKERRQ(ierr); 71 ierr = TSThetaGetX0AndXdot(ts,coarse,&X0_c,&Xdot_c);CHKERRQ(ierr); 72 ierr = MatRestrict(restrct,X0,X0_c);CHKERRQ(ierr); 73 ierr = MatRestrict(restrct,Xdot,Xdot_c);CHKERRQ(ierr); 74 ierr = VecPointwiseMult(X0_c,rscale,X0_c);CHKERRQ(ierr); 75 ierr = VecPointwiseMult(Xdot_c,rscale,Xdot_c);CHKERRQ(ierr); 76 PetscFunctionReturn(0); 77 } 78 79 #undef __FUNCT__ 80 #define __FUNCT__ "TSStep_Theta" 81 static PetscErrorCode TSStep_Theta(TS ts) 82 { 83 TS_Theta *th = (TS_Theta*)ts->data; 84 PetscInt its,lits; 85 PetscReal next_time_step; 86 SNESConvergedReason snesreason; 87 PetscErrorCode ierr; 88 89 PetscFunctionBegin; 90 next_time_step = ts->time_step; 91 th->stage_time = ts->ptime + (th->endpoint ? 1. : th->Theta)*ts->time_step; 92 th->shift = 1./(th->Theta*ts->time_step); 93 ierr = TSPreStep(ts);CHKERRQ(ierr); 94 ierr = TSPreStage(ts,th->stage_time);CHKERRQ(ierr); 95 96 if (th->endpoint) { /* This formulation assumes linear time-independent mass matrix */ 97 ierr = VecZeroEntries(th->Xdot);CHKERRQ(ierr); 98 if (!th->affine) {ierr = VecDuplicate(ts->vec_sol,&th->affine);CHKERRQ(ierr);} 99 ierr = TSComputeIFunction(ts,ts->ptime,ts->vec_sol,th->Xdot,th->affine,PETSC_FALSE);CHKERRQ(ierr); 100 ierr = VecScale(th->affine,(th->Theta-1.)/th->Theta);CHKERRQ(ierr); 101 } 102 if (th->extrapolate) { 103 ierr = VecWAXPY(th->X,1./th->shift,th->Xdot,ts->vec_sol);CHKERRQ(ierr); 104 } else { 105 ierr = VecCopy(ts->vec_sol,th->X);CHKERRQ(ierr); 106 } 107 ierr = SNESSolve(ts->snes,th->affine,th->X);CHKERRQ(ierr); 108 ierr = SNESGetIterationNumber(ts->snes,&its);CHKERRQ(ierr); 109 ierr = SNESGetLinearSolveIterations(ts->snes,&lits);CHKERRQ(ierr); 110 ierr = SNESGetConvergedReason(ts->snes,&snesreason);CHKERRQ(ierr); 111 ts->snes_its += its; ts->ksp_its += lits; 112 if (snesreason < 0 && ts->max_snes_failures > 0 && ++ts->num_snes_failures >= ts->max_snes_failures) { 113 ts->reason = TS_DIVERGED_NONLINEAR_SOLVE; 114 ierr = PetscInfo2(ts,"Step=%D, nonlinear solve solve failures %D greater than current TS allowed, stopping solve\n",ts->steps,ts->num_snes_failures);CHKERRQ(ierr); 115 PetscFunctionReturn(0); 116 } 117 if (th->endpoint) { 118 ierr = VecCopy(th->X,ts->vec_sol);CHKERRQ(ierr); 119 } else { 120 ierr = VecAXPBYPCZ(th->Xdot,-th->shift,th->shift,0,ts->vec_sol,th->X);CHKERRQ(ierr); 121 ierr = VecAXPY(ts->vec_sol,ts->time_step,th->Xdot);CHKERRQ(ierr); 122 } 123 ts->ptime += ts->time_step; 124 ts->time_step = next_time_step; 125 ts->steps++; 126 PetscFunctionReturn(0); 127 } 128 129 #undef __FUNCT__ 130 #define __FUNCT__ "TSInterpolate_Theta" 131 static PetscErrorCode TSInterpolate_Theta(TS ts,PetscReal t,Vec X) 132 { 133 TS_Theta *th = (TS_Theta*)ts->data; 134 PetscReal alpha = t - ts->ptime; 135 PetscErrorCode ierr; 136 137 PetscFunctionBegin; 138 ierr = VecCopy(ts->vec_sol,th->X);CHKERRQ(ierr); 139 if (th->endpoint) alpha *= th->Theta; 140 ierr = VecWAXPY(X,alpha,th->Xdot,th->X);CHKERRQ(ierr); 141 PetscFunctionReturn(0); 142 } 143 144 /*------------------------------------------------------------*/ 145 #undef __FUNCT__ 146 #define __FUNCT__ "TSReset_Theta" 147 static PetscErrorCode TSReset_Theta(TS ts) 148 { 149 TS_Theta *th = (TS_Theta*)ts->data; 150 PetscErrorCode ierr; 151 152 PetscFunctionBegin; 153 ierr = VecDestroy(&th->X);CHKERRQ(ierr); 154 ierr = VecDestroy(&th->Xdot);CHKERRQ(ierr); 155 ierr = VecDestroy(&th->affine);CHKERRQ(ierr); 156 PetscFunctionReturn(0); 157 } 158 159 #undef __FUNCT__ 160 #define __FUNCT__ "TSDestroy_Theta" 161 static PetscErrorCode TSDestroy_Theta(TS ts) 162 { 163 PetscErrorCode ierr; 164 165 PetscFunctionBegin; 166 ierr = TSReset_Theta(ts);CHKERRQ(ierr); 167 ierr = PetscFree(ts->data);CHKERRQ(ierr); 168 ierr = PetscObjectComposeFunctionDynamic((PetscObject)ts,"TSThetaGetTheta_C","",PETSC_NULL);CHKERRQ(ierr); 169 ierr = PetscObjectComposeFunctionDynamic((PetscObject)ts,"TSThetaSetTheta_C","",PETSC_NULL);CHKERRQ(ierr); 170 ierr = PetscObjectComposeFunctionDynamic((PetscObject)ts,"TSThetaGetEndpoint_C","",PETSC_NULL);CHKERRQ(ierr); 171 ierr = PetscObjectComposeFunctionDynamic((PetscObject)ts,"TSThetaSetEndpoint_C","",PETSC_NULL);CHKERRQ(ierr); 172 PetscFunctionReturn(0); 173 } 174 175 /* 176 This defines the nonlinear equation that is to be solved with SNES 177 G(U) = F[t0+Theta*dt, U, (U-U0)*shift] = 0 178 */ 179 #undef __FUNCT__ 180 #define __FUNCT__ "SNESTSFormFunction_Theta" 181 static PetscErrorCode SNESTSFormFunction_Theta(SNES snes,Vec x,Vec y,TS ts) 182 { 183 TS_Theta *th = (TS_Theta*)ts->data; 184 PetscErrorCode ierr; 185 Vec X0,Xdot; 186 DM dm,dmsave; 187 188 PetscFunctionBegin; 189 ierr = SNESGetDM(snes,&dm);CHKERRQ(ierr); 190 /* When using the endpoint variant, this is actually 1/Theta * Xdot */ 191 ierr = TSThetaGetX0AndXdot(ts,dm,&X0,&Xdot);CHKERRQ(ierr); 192 ierr = VecAXPBYPCZ(Xdot,-th->shift,th->shift,0,X0,x);CHKERRQ(ierr); 193 194 /* DM monkey-business allows user code to call TSGetDM() inside of functions evaluated on levels of FAS */ 195 dmsave = ts->dm; 196 ts->dm = dm; 197 ierr = TSComputeIFunction(ts,th->stage_time,x,Xdot,y,PETSC_FALSE);CHKERRQ(ierr); 198 ts->dm = dmsave; 199 PetscFunctionReturn(0); 200 } 201 202 #undef __FUNCT__ 203 #define __FUNCT__ "SNESTSFormJacobian_Theta" 204 static PetscErrorCode SNESTSFormJacobian_Theta(SNES snes,Vec x,Mat *A,Mat *B,MatStructure *str,TS ts) 205 { 206 TS_Theta *th = (TS_Theta*)ts->data; 207 PetscErrorCode ierr; 208 Vec Xdot; 209 DM dm,dmsave; 210 211 PetscFunctionBegin; 212 ierr = SNESGetDM(snes,&dm);CHKERRQ(ierr); 213 214 /* th->Xdot has already been computed in SNESTSFormFunction_Theta (SNES guarantees this) */ 215 ierr = TSThetaGetX0AndXdot(ts,dm,PETSC_NULL,&Xdot);CHKERRQ(ierr); 216 217 dmsave = ts->dm; 218 ts->dm = dm; 219 ierr = TSComputeIJacobian(ts,th->stage_time,x,Xdot,th->shift,A,B,str,PETSC_FALSE);CHKERRQ(ierr); 220 ts->dm = dmsave; 221 PetscFunctionReturn(0); 222 } 223 224 #undef __FUNCT__ 225 #define __FUNCT__ "TSSetUp_Theta" 226 static PetscErrorCode TSSetUp_Theta(TS ts) 227 { 228 TS_Theta *th = (TS_Theta*)ts->data; 229 PetscErrorCode ierr; 230 SNES snes; 231 DM dm; 232 233 PetscFunctionBegin; 234 ierr = VecDuplicate(ts->vec_sol,&th->X);CHKERRQ(ierr); 235 ierr = VecDuplicate(ts->vec_sol,&th->Xdot);CHKERRQ(ierr); 236 ierr = TSGetSNES(ts,&snes);CHKERRQ(ierr); 237 ierr = TSGetDM(ts,&dm);CHKERRQ(ierr); 238 if (dm) { 239 ierr = DMCoarsenHookAdd(dm,DMCoarsenHook_TSTheta,DMRestrictHook_TSTheta,ts);CHKERRQ(ierr); 240 } 241 PetscFunctionReturn(0); 242 } 243 /*------------------------------------------------------------*/ 244 245 #undef __FUNCT__ 246 #define __FUNCT__ "TSSetFromOptions_Theta" 247 static PetscErrorCode TSSetFromOptions_Theta(TS ts) 248 { 249 TS_Theta *th = (TS_Theta*)ts->data; 250 PetscErrorCode ierr; 251 252 PetscFunctionBegin; 253 ierr = PetscOptionsHead("Theta ODE solver options");CHKERRQ(ierr); 254 { 255 ierr = PetscOptionsReal("-ts_theta_theta","Location of stage (0<Theta<=1)","TSThetaSetTheta",th->Theta,&th->Theta,PETSC_NULL);CHKERRQ(ierr); 256 ierr = PetscOptionsBool("-ts_theta_extrapolate","Extrapolate stage solution from previous solution (sometimes unstable)","TSThetaSetExtrapolate",th->extrapolate,&th->extrapolate,PETSC_NULL);CHKERRQ(ierr); 257 ierr = PetscOptionsBool("-ts_theta_endpoint","Use the endpoint instead of midpoint form of the Theta method","TSThetaSetEndpoint",th->endpoint,&th->endpoint,PETSC_NULL);CHKERRQ(ierr); 258 ierr = SNESSetFromOptions(ts->snes);CHKERRQ(ierr); 259 } 260 ierr = PetscOptionsTail();CHKERRQ(ierr); 261 PetscFunctionReturn(0); 262 } 263 264 #undef __FUNCT__ 265 #define __FUNCT__ "TSView_Theta" 266 static PetscErrorCode TSView_Theta(TS ts,PetscViewer viewer) 267 { 268 TS_Theta *th = (TS_Theta*)ts->data; 269 PetscBool iascii; 270 PetscErrorCode ierr; 271 272 PetscFunctionBegin; 273 ierr = PetscObjectTypeCompare((PetscObject)viewer,PETSCVIEWERASCII,&iascii);CHKERRQ(ierr); 274 if (iascii) { 275 ierr = PetscViewerASCIIPrintf(viewer," Theta=%G\n",th->Theta);CHKERRQ(ierr); 276 ierr = PetscViewerASCIIPrintf(viewer," Extrapolation=%s\n",th->extrapolate?"yes":"no");CHKERRQ(ierr); 277 } 278 ierr = SNESView(ts->snes,viewer);CHKERRQ(ierr); 279 PetscFunctionReturn(0); 280 } 281 282 EXTERN_C_BEGIN 283 #undef __FUNCT__ 284 #define __FUNCT__ "TSThetaGetTheta_Theta" 285 PetscErrorCode TSThetaGetTheta_Theta(TS ts,PetscReal *theta) 286 { 287 TS_Theta *th = (TS_Theta*)ts->data; 288 289 PetscFunctionBegin; 290 *theta = th->Theta; 291 PetscFunctionReturn(0); 292 } 293 294 #undef __FUNCT__ 295 #define __FUNCT__ "TSThetaSetTheta_Theta" 296 PetscErrorCode TSThetaSetTheta_Theta(TS ts,PetscReal theta) 297 { 298 TS_Theta *th = (TS_Theta*)ts->data; 299 300 PetscFunctionBegin; 301 if (theta <= 0 || 1 < theta) SETERRQ1(((PetscObject)ts)->comm,PETSC_ERR_ARG_OUTOFRANGE,"Theta %G not in range (0,1]",theta); 302 th->Theta = theta; 303 PetscFunctionReturn(0); 304 } 305 306 #undef __FUNCT__ 307 #define __FUNCT__ "TSThetaGetEndpoint_Theta" 308 PetscErrorCode TSThetaGetEndpoint_Theta(TS ts,PetscBool *endpoint) 309 { 310 TS_Theta *th = (TS_Theta*)ts->data; 311 312 PetscFunctionBegin; 313 *endpoint = th->endpoint; 314 PetscFunctionReturn(0); 315 } 316 317 #undef __FUNCT__ 318 #define __FUNCT__ "TSThetaSetEndpoint_Theta" 319 PetscErrorCode TSThetaSetEndpoint_Theta(TS ts,PetscBool flg) 320 { 321 TS_Theta *th = (TS_Theta*)ts->data; 322 323 PetscFunctionBegin; 324 th->endpoint = flg; 325 PetscFunctionReturn(0); 326 } 327 EXTERN_C_END 328 329 /* ------------------------------------------------------------ */ 330 /*MC 331 TSTHETA - DAE solver using the implicit Theta method 332 333 Level: beginner 334 335 Notes: 336 This method can be applied to DAE. 337 338 This method is cast as a 1-stage implicit Runge-Kutta method. 339 340 .vb 341 Theta | Theta 342 ------------- 343 | 1 344 .ve 345 346 For the default Theta=0.5, this is also known as the implicit midpoint rule. 347 348 When the endpoint variant is chosen, the method becomes a 2-stage method with first stage explicit: 349 350 .vb 351 0 | 0 0 352 1 | 1-Theta Theta 353 ------------------- 354 | 1-Theta Theta 355 .ve 356 357 For the default Theta=0.5, this is the trapezoid rule (also known as Crank-Nicolson, see TSCN). 358 359 To apply a diagonally implicit RK method to DAE, the stage formula 360 361 $ Y_i = X + h sum_j a_ij Y'_j 362 363 is interpreted as a formula for Y'_i in terms of Y_i and known stuff (Y'_j, j<i) 364 365 .seealso: TSCreate(), TS, TSSetType(), TSCN, TSBEULER, TSThetaSetTheta(), TSThetaSetEndpoint() 366 367 M*/ 368 EXTERN_C_BEGIN 369 #undef __FUNCT__ 370 #define __FUNCT__ "TSCreate_Theta" 371 PetscErrorCode TSCreate_Theta(TS ts) 372 { 373 TS_Theta *th; 374 PetscErrorCode ierr; 375 376 PetscFunctionBegin; 377 ts->ops->reset = TSReset_Theta; 378 ts->ops->destroy = TSDestroy_Theta; 379 ts->ops->view = TSView_Theta; 380 ts->ops->setup = TSSetUp_Theta; 381 ts->ops->step = TSStep_Theta; 382 ts->ops->interpolate = TSInterpolate_Theta; 383 ts->ops->setfromoptions = TSSetFromOptions_Theta; 384 ts->ops->snesfunction = SNESTSFormFunction_Theta; 385 ts->ops->snesjacobian = SNESTSFormJacobian_Theta; 386 387 ierr = PetscNewLog(ts,TS_Theta,&th);CHKERRQ(ierr); 388 ts->data = (void*)th; 389 390 th->extrapolate = PETSC_FALSE; 391 th->Theta = 0.5; 392 393 ierr = PetscObjectComposeFunctionDynamic((PetscObject)ts,"TSThetaGetTheta_C","TSThetaGetTheta_Theta",TSThetaGetTheta_Theta);CHKERRQ(ierr); 394 ierr = PetscObjectComposeFunctionDynamic((PetscObject)ts,"TSThetaSetTheta_C","TSThetaSetTheta_Theta",TSThetaSetTheta_Theta);CHKERRQ(ierr); 395 ierr = PetscObjectComposeFunctionDynamic((PetscObject)ts,"TSThetaGetEndpoint_C","TSThetaGetEndpoint_Theta",TSThetaGetEndpoint_Theta);CHKERRQ(ierr); 396 ierr = PetscObjectComposeFunctionDynamic((PetscObject)ts,"TSThetaSetEndpoint_C","TSThetaSetEndpoint_Theta",TSThetaSetEndpoint_Theta);CHKERRQ(ierr); 397 PetscFunctionReturn(0); 398 } 399 EXTERN_C_END 400 401 #undef __FUNCT__ 402 #define __FUNCT__ "TSThetaGetTheta" 403 /*@ 404 TSThetaGetTheta - Get the abscissa of the stage in (0,1]. 405 406 Not Collective 407 408 Input Parameter: 409 . ts - timestepping context 410 411 Output Parameter: 412 . theta - stage abscissa 413 414 Note: 415 Use of this function is normally only required to hack TSTHETA to use a modified integration scheme. 416 417 Level: Advanced 418 419 .seealso: TSThetaSetTheta() 420 @*/ 421 PetscErrorCode TSThetaGetTheta(TS ts,PetscReal *theta) 422 { 423 PetscErrorCode ierr; 424 425 PetscFunctionBegin; 426 PetscValidHeaderSpecific(ts,TS_CLASSID,1); 427 PetscValidPointer(theta,2); 428 ierr = PetscUseMethod(ts,"TSThetaGetTheta_C",(TS,PetscReal*),(ts,theta));CHKERRQ(ierr); 429 PetscFunctionReturn(0); 430 } 431 432 #undef __FUNCT__ 433 #define __FUNCT__ "TSThetaSetTheta" 434 /*@ 435 TSThetaSetTheta - Set the abscissa of the stage in (0,1]. 436 437 Not Collective 438 439 Input Parameter: 440 + ts - timestepping context 441 - theta - stage abscissa 442 443 Options Database: 444 . -ts_theta_theta <theta> 445 446 Level: Intermediate 447 448 .seealso: TSThetaGetTheta() 449 @*/ 450 PetscErrorCode TSThetaSetTheta(TS ts,PetscReal theta) 451 { 452 PetscErrorCode ierr; 453 454 PetscFunctionBegin; 455 PetscValidHeaderSpecific(ts,TS_CLASSID,1); 456 ierr = PetscTryMethod(ts,"TSThetaSetTheta_C",(TS,PetscReal),(ts,theta));CHKERRQ(ierr); 457 PetscFunctionReturn(0); 458 } 459 460 #undef __FUNCT__ 461 #define __FUNCT__ "TSThetaGetEndpoint" 462 /*@ 463 TSThetaGetEndpoint - Gets whether to use the endpoint variant of the method (e.g. trapezoid/Crank-Nicolson instead of midpoint rule). 464 465 Not Collective 466 467 Input Parameter: 468 . ts - timestepping context 469 470 Output Parameter: 471 . endpoint - PETSC_TRUE when using the endpoint variant 472 473 Level: Advanced 474 475 .seealso: TSThetaSetEndpoint(), TSTHETA, TSCN 476 @*/ 477 PetscErrorCode TSThetaGetEndpoint(TS ts,PetscBool *endpoint) 478 { 479 PetscErrorCode ierr; 480 481 PetscFunctionBegin; 482 PetscValidHeaderSpecific(ts,TS_CLASSID,1); 483 PetscValidPointer(endpoint,2); 484 ierr = PetscTryMethod(ts,"TSThetaGetEndpoint_C",(TS,PetscBool*),(ts,endpoint));CHKERRQ(ierr); 485 PetscFunctionReturn(0); 486 } 487 488 #undef __FUNCT__ 489 #define __FUNCT__ "TSThetaSetEndpoint" 490 /*@ 491 TSThetaSetEndpoint - Sets whether to use the endpoint variant of the method (e.g. trapezoid/Crank-Nicolson instead of midpoint rule). 492 493 Not Collective 494 495 Input Parameter: 496 + ts - timestepping context 497 - flg - PETSC_TRUE to use the endpoint variant 498 499 Options Database: 500 . -ts_theta_endpoint <flg> 501 502 Level: Intermediate 503 504 .seealso: TSTHETA, TSCN 505 @*/ 506 PetscErrorCode TSThetaSetEndpoint(TS ts,PetscBool flg) 507 { 508 PetscErrorCode ierr; 509 510 PetscFunctionBegin; 511 PetscValidHeaderSpecific(ts,TS_CLASSID,1); 512 ierr = PetscTryMethod(ts,"TSThetaSetEndpoint_C",(TS,PetscBool),(ts,flg));CHKERRQ(ierr); 513 PetscFunctionReturn(0); 514 } 515 516 /* 517 * TSBEULER and TSCN are straightforward specializations of TSTHETA. 518 * The creation functions for these specializations are below. 519 */ 520 521 #undef __FUNCT__ 522 #define __FUNCT__ "TSView_BEuler" 523 static PetscErrorCode TSView_BEuler(TS ts,PetscViewer viewer) 524 { 525 PetscErrorCode ierr; 526 527 PetscFunctionBegin; 528 ierr = SNESView(ts->snes,viewer);CHKERRQ(ierr); 529 PetscFunctionReturn(0); 530 } 531 532 /*MC 533 TSBEULER - ODE solver using the implicit backward Euler method 534 535 Level: beginner 536 537 .seealso: TSCreate(), TS, TSSetType(), TSEULER, TSCN, TSTHETA 538 539 M*/ 540 EXTERN_C_BEGIN 541 #undef __FUNCT__ 542 #define __FUNCT__ "TSCreate_BEuler" 543 PetscErrorCode TSCreate_BEuler(TS ts) 544 { 545 PetscErrorCode ierr; 546 547 PetscFunctionBegin; 548 ierr = TSCreate_Theta(ts);CHKERRQ(ierr); 549 ierr = TSThetaSetTheta(ts,1.0);CHKERRQ(ierr); 550 ts->ops->view = TSView_BEuler; 551 PetscFunctionReturn(0); 552 } 553 EXTERN_C_END 554 555 #undef __FUNCT__ 556 #define __FUNCT__ "TSView_CN" 557 static PetscErrorCode TSView_CN(TS ts,PetscViewer viewer) 558 { 559 PetscErrorCode ierr; 560 561 PetscFunctionBegin; 562 ierr = SNESView(ts->snes,viewer);CHKERRQ(ierr); 563 PetscFunctionReturn(0); 564 } 565 566 /*MC 567 TSCN - ODE solver using the implicit Crank-Nicolson method. 568 569 Level: beginner 570 571 Notes: 572 TSCN is equivalent to TSTHETA with Theta=0.5 and the "endpoint" option set. I.e. 573 574 $ -ts_type theta -ts_theta_theta 0.5 -ts_theta_endpoint 575 576 .seealso: TSCreate(), TS, TSSetType(), TSBEULER, TSTHETA 577 578 M*/ 579 EXTERN_C_BEGIN 580 #undef __FUNCT__ 581 #define __FUNCT__ "TSCreate_CN" 582 PetscErrorCode TSCreate_CN(TS ts) 583 { 584 PetscErrorCode ierr; 585 586 PetscFunctionBegin; 587 ierr = TSCreate_Theta(ts);CHKERRQ(ierr); 588 ierr = TSThetaSetTheta(ts,0.5);CHKERRQ(ierr); 589 ierr = TSThetaSetEndpoint(ts,PETSC_TRUE);CHKERRQ(ierr); 590 ts->ops->view = TSView_CN; 591 PetscFunctionReturn(0); 592 } 593 EXTERN_C_END 594