1 #define PETSCTS_DLL 2 3 #include "include/private/tsimpl.h" /*I "petscts.h" I*/ 4 5 /* Logging support */ 6 PetscCookie PETSCTS_DLLEXPORT TS_COOKIE; 7 PetscLogEvent TS_Step, TS_PseudoComputeTimeStep, TS_FunctionEval, TS_JacobianEval; 8 9 #undef __FUNCT__ 10 #define __FUNCT__ "TSSetTypeFromOptions" 11 /* 12 TSSetTypeFromOptions - Sets the type of ts from user options. 13 14 Collective on TS 15 16 Input Parameter: 17 . ts - The ts 18 19 Level: intermediate 20 21 .keywords: TS, set, options, database, type 22 .seealso: TSSetFromOptions(), TSSetType() 23 */ 24 static PetscErrorCode TSSetTypeFromOptions(TS ts) 25 { 26 PetscTruth opt; 27 const char *defaultType; 28 char typeName[256]; 29 PetscErrorCode ierr; 30 31 PetscFunctionBegin; 32 if (((PetscObject)ts)->type_name) { 33 defaultType = ((PetscObject)ts)->type_name; 34 } else { 35 defaultType = TS_EULER; 36 } 37 38 if (!TSRegisterAllCalled) { 39 ierr = TSRegisterAll(PETSC_NULL);CHKERRQ(ierr); 40 } 41 ierr = PetscOptionsList("-ts_type", "TS method"," TSSetType", TSList, defaultType, typeName, 256, &opt);CHKERRQ(ierr); 42 if (opt) { 43 ierr = TSSetType(ts, typeName);CHKERRQ(ierr); 44 } else { 45 ierr = TSSetType(ts, defaultType);CHKERRQ(ierr); 46 } 47 PetscFunctionReturn(0); 48 } 49 50 #undef __FUNCT__ 51 #define __FUNCT__ "TSSetFromOptions" 52 /*@ 53 TSSetFromOptions - Sets various TS parameters from user options. 54 55 Collective on TS 56 57 Input Parameter: 58 . ts - the TS context obtained from TSCreate() 59 60 Options Database Keys: 61 + -ts_type <type> - TS_EULER, TS_BEULER, TS_SUNDIALS, TS_PSEUDO, TS_CRANK_NICHOLSON 62 . -ts_max_steps maxsteps - maximum number of time-steps to take 63 . -ts_max_time time - maximum time to compute to 64 . -ts_dt dt - initial time step 65 . -ts_monitor - print information at each timestep 66 - -ts_monitor_draw - plot information at each timestep 67 68 Level: beginner 69 70 .keywords: TS, timestep, set, options, database 71 72 .seealso: TSGetType() 73 @*/ 74 PetscErrorCode PETSCTS_DLLEXPORT TSSetFromOptions(TS ts) 75 { 76 PetscReal dt; 77 PetscTruth opt,flg; 78 PetscErrorCode ierr; 79 PetscViewerASCIIMonitor monviewer; 80 char monfilename[PETSC_MAX_PATH_LEN]; 81 82 PetscFunctionBegin; 83 PetscValidHeaderSpecific(ts, TS_COOKIE,1); 84 ierr = PetscOptionsBegin(((PetscObject)ts)->comm, ((PetscObject)ts)->prefix, "Time step options", "TS");CHKERRQ(ierr); 85 86 /* Handle generic TS options */ 87 ierr = PetscOptionsInt("-ts_max_steps","Maximum number of time steps","TSSetDuration",ts->max_steps,&ts->max_steps,PETSC_NULL);CHKERRQ(ierr); 88 ierr = PetscOptionsReal("-ts_max_time","Time to run to","TSSetDuration",ts->max_time,&ts->max_time,PETSC_NULL);CHKERRQ(ierr); 89 ierr = PetscOptionsReal("-ts_init_time","Initial time","TSSetInitialTime", ts->ptime, &ts->ptime, PETSC_NULL);CHKERRQ(ierr); 90 ierr = PetscOptionsReal("-ts_dt","Initial time step","TSSetInitialTimeStep",ts->initial_time_step,&dt,&opt);CHKERRQ(ierr); 91 if (opt) { 92 ts->initial_time_step = ts->time_step = dt; 93 } 94 95 /* Monitor options */ 96 ierr = PetscOptionsString("-ts_monitor","Monitor timestep size","TSMonitorDefault","stdout",monfilename,PETSC_MAX_PATH_LEN,&flg);CHKERRQ(ierr); 97 if (flg) { 98 ierr = PetscViewerASCIIMonitorCreate(((PetscObject)ts)->comm,monfilename,((PetscObject)ts)->tablevel,&monviewer);CHKERRQ(ierr); 99 ierr = TSMonitorSet(ts,TSMonitorDefault,monviewer,(PetscErrorCode (*)(void*))PetscViewerASCIIMonitorDestroy);CHKERRQ(ierr); 100 } 101 ierr = PetscOptionsName("-ts_monitor_draw","Monitor timestep size graphically","TSMonitorLG",&opt);CHKERRQ(ierr); 102 if (opt) { 103 ierr = TSMonitorSet(ts,TSMonitorLG,PETSC_NULL,PETSC_NULL);CHKERRQ(ierr); 104 } 105 ierr = PetscOptionsName("-ts_monitor_solution","Monitor solution graphically","TSMonitorSolution",&opt);CHKERRQ(ierr); 106 if (opt) { 107 ierr = TSMonitorSet(ts,TSMonitorSolution,PETSC_NULL,PETSC_NULL);CHKERRQ(ierr); 108 } 109 110 /* Handle TS type options */ 111 ierr = TSSetTypeFromOptions(ts);CHKERRQ(ierr); 112 113 /* Handle specific TS options */ 114 if (ts->ops->setfromoptions) { 115 ierr = (*ts->ops->setfromoptions)(ts);CHKERRQ(ierr); 116 } 117 ierr = PetscOptionsEnd();CHKERRQ(ierr); 118 119 /* Handle subobject options */ 120 switch(ts->problem_type) { 121 /* Should check for implicit/explicit */ 122 case TS_LINEAR: 123 if (ts->ksp) { 124 ierr = KSPSetOperators(ts->ksp,ts->Arhs,ts->B,DIFFERENT_NONZERO_PATTERN);CHKERRQ(ierr); 125 ierr = KSPSetFromOptions(ts->ksp);CHKERRQ(ierr); 126 } 127 break; 128 case TS_NONLINEAR: 129 if (ts->snes) { 130 /* this is a bit of a hack, but it gets the matrix information into SNES earlier 131 so that SNES and KSP have more information to pick reasonable defaults 132 before they allow users to set options */ 133 ierr = SNESSetJacobian(ts->snes,ts->Arhs,ts->B,0,ts);CHKERRQ(ierr); 134 ierr = SNESSetFromOptions(ts->snes);CHKERRQ(ierr); 135 } 136 break; 137 default: 138 SETERRQ1(PETSC_ERR_ARG_WRONG, "Invalid problem type: %d", (int)ts->problem_type); 139 } 140 141 PetscFunctionReturn(0); 142 } 143 144 #undef __FUNCT__ 145 #define __FUNCT__ "TSViewFromOptions" 146 /*@ 147 TSViewFromOptions - This function visualizes the ts based upon user options. 148 149 Collective on TS 150 151 Input Parameter: 152 . ts - The ts 153 154 Level: intermediate 155 156 .keywords: TS, view, options, database 157 .seealso: TSSetFromOptions(), TSView() 158 @*/ 159 PetscErrorCode PETSCTS_DLLEXPORT TSViewFromOptions(TS ts,const char title[]) 160 { 161 PetscViewer viewer; 162 PetscDraw draw; 163 PetscTruth opt; 164 char fileName[PETSC_MAX_PATH_LEN]; 165 PetscErrorCode ierr; 166 167 PetscFunctionBegin; 168 ierr = PetscOptionsGetString(((PetscObject)ts)->prefix, "-ts_view", fileName, PETSC_MAX_PATH_LEN, &opt);CHKERRQ(ierr); 169 if (opt && !PetscPreLoadingOn) { 170 ierr = PetscViewerASCIIOpen(((PetscObject)ts)->comm,fileName,&viewer);CHKERRQ(ierr); 171 ierr = TSView(ts, viewer);CHKERRQ(ierr); 172 ierr = PetscViewerDestroy(viewer);CHKERRQ(ierr); 173 } 174 ierr = PetscOptionsHasName(((PetscObject)ts)->prefix, "-ts_view_draw", &opt);CHKERRQ(ierr); 175 if (opt) { 176 ierr = PetscViewerDrawOpen(((PetscObject)ts)->comm, 0, 0, 0, 0, 300, 300, &viewer);CHKERRQ(ierr); 177 ierr = PetscViewerDrawGetDraw(viewer, 0, &draw);CHKERRQ(ierr); 178 if (title) { 179 ierr = PetscDrawSetTitle(draw, (char *)title);CHKERRQ(ierr); 180 } else { 181 ierr = PetscObjectName((PetscObject)ts);CHKERRQ(ierr); 182 ierr = PetscDrawSetTitle(draw, ((PetscObject)ts)->name);CHKERRQ(ierr); 183 } 184 ierr = TSView(ts, viewer);CHKERRQ(ierr); 185 ierr = PetscViewerFlush(viewer);CHKERRQ(ierr); 186 ierr = PetscDrawPause(draw);CHKERRQ(ierr); 187 ierr = PetscViewerDestroy(viewer);CHKERRQ(ierr); 188 } 189 PetscFunctionReturn(0); 190 } 191 192 #undef __FUNCT__ 193 #define __FUNCT__ "TSComputeRHSJacobian" 194 /*@ 195 TSComputeRHSJacobian - Computes the Jacobian matrix that has been 196 set with TSSetRHSJacobian(). 197 198 Collective on TS and Vec 199 200 Input Parameters: 201 + ts - the SNES context 202 . t - current timestep 203 - x - input vector 204 205 Output Parameters: 206 + A - Jacobian matrix 207 . B - optional preconditioning matrix 208 - flag - flag indicating matrix structure 209 210 Notes: 211 Most users should not need to explicitly call this routine, as it 212 is used internally within the nonlinear solvers. 213 214 See KSPSetOperators() for important information about setting the 215 flag parameter. 216 217 TSComputeJacobian() is valid only for TS_NONLINEAR 218 219 Level: developer 220 221 .keywords: SNES, compute, Jacobian, matrix 222 223 .seealso: TSSetRHSJacobian(), KSPSetOperators() 224 @*/ 225 PetscErrorCode PETSCTS_DLLEXPORT TSComputeRHSJacobian(TS ts,PetscReal t,Vec X,Mat *A,Mat *B,MatStructure *flg) 226 { 227 PetscErrorCode ierr; 228 229 PetscFunctionBegin; 230 PetscValidHeaderSpecific(ts,TS_COOKIE,1); 231 PetscValidHeaderSpecific(X,VEC_COOKIE,3); 232 PetscCheckSameComm(ts,1,X,3); 233 if (ts->problem_type != TS_NONLINEAR) { 234 SETERRQ(PETSC_ERR_ARG_WRONG,"For TS_NONLINEAR only"); 235 } 236 if (ts->ops->rhsjacobian) { 237 ierr = PetscLogEventBegin(TS_JacobianEval,ts,X,*A,*B);CHKERRQ(ierr); 238 *flg = DIFFERENT_NONZERO_PATTERN; 239 PetscStackPush("TS user Jacobian function"); 240 ierr = (*ts->ops->rhsjacobian)(ts,t,X,A,B,flg,ts->jacP);CHKERRQ(ierr); 241 PetscStackPop; 242 ierr = PetscLogEventEnd(TS_JacobianEval,ts,X,*A,*B);CHKERRQ(ierr); 243 /* make sure user returned a correct Jacobian and preconditioner */ 244 PetscValidHeaderSpecific(*A,MAT_COOKIE,4); 245 PetscValidHeaderSpecific(*B,MAT_COOKIE,5); 246 } else { 247 ierr = MatAssemblyBegin(*A,MAT_FINAL_ASSEMBLY);CHKERRQ(ierr); 248 ierr = MatAssemblyEnd(*A,MAT_FINAL_ASSEMBLY);CHKERRQ(ierr); 249 if (*A != *B) { 250 ierr = MatAssemblyBegin(*B,MAT_FINAL_ASSEMBLY);CHKERRQ(ierr); 251 ierr = MatAssemblyEnd(*B,MAT_FINAL_ASSEMBLY);CHKERRQ(ierr); 252 } 253 } 254 PetscFunctionReturn(0); 255 } 256 257 #undef __FUNCT__ 258 #define __FUNCT__ "TSComputeRHSFunction" 259 /* 260 TSComputeRHSFunction - Evaluates the right-hand-side function. 261 262 Note: If the user did not provide a function but merely a matrix, 263 this routine applies the matrix. 264 */ 265 PetscErrorCode TSComputeRHSFunction(TS ts,PetscReal t,Vec x,Vec y) 266 { 267 PetscErrorCode ierr; 268 269 PetscFunctionBegin; 270 PetscValidHeaderSpecific(ts,TS_COOKIE,1); 271 PetscValidHeaderSpecific(x,VEC_COOKIE,2); 272 PetscValidHeaderSpecific(y,VEC_COOKIE,3); 273 274 ierr = PetscLogEventBegin(TS_FunctionEval,ts,x,y,0);CHKERRQ(ierr); 275 if (ts->ops->rhsfunction) { 276 PetscStackPush("TS user right-hand-side function"); 277 ierr = (*ts->ops->rhsfunction)(ts,t,x,y,ts->funP);CHKERRQ(ierr); 278 PetscStackPop; 279 } else { 280 if (ts->ops->rhsmatrix) { /* assemble matrix for this timestep */ 281 MatStructure flg; 282 PetscStackPush("TS user right-hand-side matrix function"); 283 ierr = (*ts->ops->rhsmatrix)(ts,t,&ts->Arhs,&ts->B,&flg,ts->jacP);CHKERRQ(ierr); 284 PetscStackPop; 285 } 286 ierr = MatMult(ts->Arhs,x,y);CHKERRQ(ierr); 287 } 288 289 ierr = PetscLogEventEnd(TS_FunctionEval,ts,x,y,0);CHKERRQ(ierr); 290 291 PetscFunctionReturn(0); 292 } 293 294 #undef __FUNCT__ 295 #define __FUNCT__ "TSSetRHSFunction" 296 /*@C 297 TSSetRHSFunction - Sets the routine for evaluating the function, 298 F(t,u), where U_t = F(t,u). 299 300 Collective on TS 301 302 Input Parameters: 303 + ts - the TS context obtained from TSCreate() 304 . f - routine for evaluating the right-hand-side function 305 - ctx - [optional] user-defined context for private data for the 306 function evaluation routine (may be PETSC_NULL) 307 308 Calling sequence of func: 309 $ func (TS ts,PetscReal t,Vec u,Vec F,void *ctx); 310 311 + t - current timestep 312 . u - input vector 313 . F - function vector 314 - ctx - [optional] user-defined function context 315 316 Important: 317 The user MUST call either this routine or TSSetMatrices(). 318 319 Level: beginner 320 321 .keywords: TS, timestep, set, right-hand-side, function 322 323 .seealso: TSSetMatrices() 324 @*/ 325 PetscErrorCode PETSCTS_DLLEXPORT TSSetRHSFunction(TS ts,PetscErrorCode (*f)(TS,PetscReal,Vec,Vec,void*),void *ctx) 326 { 327 PetscFunctionBegin; 328 329 PetscValidHeaderSpecific(ts,TS_COOKIE,1); 330 if (ts->problem_type == TS_LINEAR) { 331 SETERRQ(PETSC_ERR_ARG_WRONG,"Cannot set function for linear problem"); 332 } 333 ts->ops->rhsfunction = f; 334 ts->funP = ctx; 335 PetscFunctionReturn(0); 336 } 337 338 #undef __FUNCT__ 339 #define __FUNCT__ "TSSetMatrices" 340 /*@C 341 TSSetMatrices - Sets the functions to compute the matrices Alhs and Arhs, 342 where Alhs(t) U_t = Arhs(t) U. 343 344 Collective on TS 345 346 Input Parameters: 347 + ts - the TS context obtained from TSCreate() 348 . Arhs - matrix 349 . frhs - the matrix evaluation routine for Arhs; use PETSC_NULL (PETSC_NULL_FUNCTION in fortran) 350 if Arhs is not a function of t. 351 . Alhs - matrix or PETSC_NULL if Alhs is an indentity matrix. 352 . flhs - the matrix evaluation routine for Alhs; use PETSC_NULL (PETSC_NULL_FUNCTION in fortran) 353 if Alhs is not a function of t. 354 . flag - flag indicating information about the matrix structure of Arhs and Alhs. 355 The available options are 356 SAME_NONZERO_PATTERN - Alhs has the same nonzero structure as Arhs 357 DIFFERENT_NONZERO_PATTERN - Alhs has different nonzero structure as Arhs 358 - ctx - [optional] user-defined context for private data for the 359 matrix evaluation routine (may be PETSC_NULL) 360 361 Calling sequence of func: 362 $ func(TS ts,PetscReal t,Mat *A,Mat *B,PetscInt *flag,void *ctx); 363 364 + t - current timestep 365 . A - matrix A, where U_t = A(t) U 366 . B - preconditioner matrix, usually the same as A 367 . flag - flag indicating information about the preconditioner matrix 368 structure (same as flag in KSPSetOperators()) 369 - ctx - [optional] user-defined context for matrix evaluation routine 370 371 Notes: 372 The routine func() takes Mat* as the matrix arguments rather than Mat. 373 This allows the matrix evaluation routine to replace Arhs or Alhs with a 374 completely new new matrix structure (not just different matrix elements) 375 when appropriate, for instance, if the nonzero structure is changing 376 throughout the global iterations. 377 378 Important: 379 The user MUST call either this routine or TSSetRHSFunction(). 380 381 Level: beginner 382 383 .keywords: TS, timestep, set, matrix 384 385 .seealso: TSSetRHSFunction() 386 @*/ 387 PetscErrorCode PETSCTS_DLLEXPORT TSSetMatrices(TS ts,Mat Arhs,PetscErrorCode (*frhs)(TS,PetscReal,Mat*,Mat*,MatStructure*,void*),Mat Alhs,PetscErrorCode (*flhs)(TS,PetscReal,Mat*,Mat*,MatStructure*,void*),MatStructure flag,void *ctx) 388 { 389 PetscFunctionBegin; 390 PetscValidHeaderSpecific(ts,TS_COOKIE,1); 391 if (Arhs){ 392 PetscValidHeaderSpecific(Arhs,MAT_COOKIE,2); 393 PetscCheckSameComm(ts,1,Arhs,2); 394 ts->Arhs = Arhs; 395 ts->ops->rhsmatrix = frhs; 396 } 397 if (Alhs){ 398 PetscValidHeaderSpecific(Alhs,MAT_COOKIE,4); 399 PetscCheckSameComm(ts,1,Alhs,4); 400 ts->Alhs = Alhs; 401 ts->ops->lhsmatrix = flhs; 402 } 403 404 ts->jacP = ctx; 405 ts->matflg = flag; 406 PetscFunctionReturn(0); 407 } 408 409 #undef __FUNCT__ 410 #define __FUNCT__ "TSGetMatrices" 411 /*@C 412 TSGetMatrices - Returns the matrices Arhs and Alhs at the present timestep, 413 where Alhs(t) U_t = Arhs(t) U. 414 415 Not Collective, but parallel objects are returned if TS is parallel 416 417 Input Parameter: 418 . ts - The TS context obtained from TSCreate() 419 420 Output Parameters: 421 + Arhs - The right-hand side matrix 422 . Alhs - The left-hand side matrix 423 - ctx - User-defined context for matrix evaluation routine 424 425 Notes: You can pass in PETSC_NULL for any return argument you do not need. 426 427 Level: intermediate 428 429 .seealso: TSSetMatrices(), TSGetTimeStep(), TSGetTime(), TSGetTimeStepNumber(), TSGetRHSJacobian() 430 431 .keywords: TS, timestep, get, matrix 432 433 @*/ 434 PetscErrorCode PETSCTS_DLLEXPORT TSGetMatrices(TS ts,Mat *Arhs,Mat *Alhs,void **ctx) 435 { 436 PetscFunctionBegin; 437 PetscValidHeaderSpecific(ts,TS_COOKIE,1); 438 if (Arhs) *Arhs = ts->Arhs; 439 if (Alhs) *Alhs = ts->Alhs; 440 if (ctx) *ctx = ts->jacP; 441 PetscFunctionReturn(0); 442 } 443 444 #undef __FUNCT__ 445 #define __FUNCT__ "TSSetRHSJacobian" 446 /*@C 447 TSSetRHSJacobian - Sets the function to compute the Jacobian of F, 448 where U_t = F(U,t), as well as the location to store the matrix. 449 Use TSSetMatrices() for linear problems. 450 451 Collective on TS 452 453 Input Parameters: 454 + ts - the TS context obtained from TSCreate() 455 . A - Jacobian matrix 456 . B - preconditioner matrix (usually same as A) 457 . f - the Jacobian evaluation routine 458 - ctx - [optional] user-defined context for private data for the 459 Jacobian evaluation routine (may be PETSC_NULL) 460 461 Calling sequence of func: 462 $ func (TS ts,PetscReal t,Vec u,Mat *A,Mat *B,MatStructure *flag,void *ctx); 463 464 + t - current timestep 465 . u - input vector 466 . A - matrix A, where U_t = A(t)u 467 . B - preconditioner matrix, usually the same as A 468 . flag - flag indicating information about the preconditioner matrix 469 structure (same as flag in KSPSetOperators()) 470 - ctx - [optional] user-defined context for matrix evaluation routine 471 472 Notes: 473 See KSPSetOperators() for important information about setting the flag 474 output parameter in the routine func(). Be sure to read this information! 475 476 The routine func() takes Mat * as the matrix arguments rather than Mat. 477 This allows the matrix evaluation routine to replace A and/or B with a 478 completely new matrix structure (not just different matrix elements) 479 when appropriate, for instance, if the nonzero structure is changing 480 throughout the global iterations. 481 482 Level: beginner 483 484 .keywords: TS, timestep, set, right-hand-side, Jacobian 485 486 .seealso: TSDefaultComputeJacobianColor(), 487 SNESDefaultComputeJacobianColor(), TSSetRHSFunction(), TSSetMatrices() 488 489 @*/ 490 PetscErrorCode PETSCTS_DLLEXPORT TSSetRHSJacobian(TS ts,Mat A,Mat B,PetscErrorCode (*f)(TS,PetscReal,Vec,Mat*,Mat*,MatStructure*,void*),void *ctx) 491 { 492 PetscFunctionBegin; 493 PetscValidHeaderSpecific(ts,TS_COOKIE,1); 494 PetscValidHeaderSpecific(A,MAT_COOKIE,2); 495 PetscValidHeaderSpecific(B,MAT_COOKIE,3); 496 PetscCheckSameComm(ts,1,A,2); 497 PetscCheckSameComm(ts,1,B,3); 498 if (ts->problem_type != TS_NONLINEAR) { 499 SETERRQ(PETSC_ERR_ARG_WRONG,"Not for linear problems; use TSSetMatrices()"); 500 } 501 502 ts->ops->rhsjacobian = f; 503 ts->jacP = ctx; 504 ts->Arhs = A; 505 ts->B = B; 506 PetscFunctionReturn(0); 507 } 508 509 #undef __FUNCT__ 510 #define __FUNCT__ "TSView" 511 /*@C 512 TSView - Prints the TS data structure. 513 514 Collective on TS 515 516 Input Parameters: 517 + ts - the TS context obtained from TSCreate() 518 - viewer - visualization context 519 520 Options Database Key: 521 . -ts_view - calls TSView() at end of TSStep() 522 523 Notes: 524 The available visualization contexts include 525 + PETSC_VIEWER_STDOUT_SELF - standard output (default) 526 - PETSC_VIEWER_STDOUT_WORLD - synchronized standard 527 output where only the first processor opens 528 the file. All other processors send their 529 data to the first processor to print. 530 531 The user can open an alternative visualization context with 532 PetscViewerASCIIOpen() - output to a specified file. 533 534 Level: beginner 535 536 .keywords: TS, timestep, view 537 538 .seealso: PetscViewerASCIIOpen() 539 @*/ 540 PetscErrorCode PETSCTS_DLLEXPORT TSView(TS ts,PetscViewer viewer) 541 { 542 PetscErrorCode ierr; 543 const TSType type; 544 PetscTruth iascii,isstring; 545 546 PetscFunctionBegin; 547 PetscValidHeaderSpecific(ts,TS_COOKIE,1); 548 if (!viewer) { 549 ierr = PetscViewerASCIIGetStdout(((PetscObject)ts)->comm,&viewer);CHKERRQ(ierr); 550 } 551 PetscValidHeaderSpecific(viewer,PETSC_VIEWER_COOKIE,2); 552 PetscCheckSameComm(ts,1,viewer,2); 553 554 ierr = PetscTypeCompare((PetscObject)viewer,PETSC_VIEWER_ASCII,&iascii);CHKERRQ(ierr); 555 ierr = PetscTypeCompare((PetscObject)viewer,PETSC_VIEWER_STRING,&isstring);CHKERRQ(ierr); 556 if (iascii) { 557 ierr = PetscViewerASCIIPrintf(viewer,"TS Object:\n");CHKERRQ(ierr); 558 ierr = TSGetType(ts,&type);CHKERRQ(ierr); 559 if (type) { 560 ierr = PetscViewerASCIIPrintf(viewer," type: %s\n",type);CHKERRQ(ierr); 561 } else { 562 ierr = PetscViewerASCIIPrintf(viewer," type: not yet set\n");CHKERRQ(ierr); 563 } 564 if (ts->ops->view) { 565 ierr = PetscViewerASCIIPushTab(viewer);CHKERRQ(ierr); 566 ierr = (*ts->ops->view)(ts,viewer);CHKERRQ(ierr); 567 ierr = PetscViewerASCIIPopTab(viewer);CHKERRQ(ierr); 568 } 569 ierr = PetscViewerASCIIPrintf(viewer," maximum steps=%D\n",ts->max_steps);CHKERRQ(ierr); 570 ierr = PetscViewerASCIIPrintf(viewer," maximum time=%G\n",ts->max_time);CHKERRQ(ierr); 571 if (ts->problem_type == TS_NONLINEAR) { 572 ierr = PetscViewerASCIIPrintf(viewer," total number of nonlinear solver iterations=%D\n",ts->nonlinear_its);CHKERRQ(ierr); 573 } 574 ierr = PetscViewerASCIIPrintf(viewer," total number of linear solver iterations=%D\n",ts->linear_its);CHKERRQ(ierr); 575 } else if (isstring) { 576 ierr = TSGetType(ts,&type);CHKERRQ(ierr); 577 ierr = PetscViewerStringSPrintf(viewer," %-7.7s",type);CHKERRQ(ierr); 578 } 579 ierr = PetscViewerASCIIPushTab(viewer);CHKERRQ(ierr); 580 if (ts->ksp) {ierr = KSPView(ts->ksp,viewer);CHKERRQ(ierr);} 581 if (ts->snes) {ierr = SNESView(ts->snes,viewer);CHKERRQ(ierr);} 582 ierr = PetscViewerASCIIPopTab(viewer);CHKERRQ(ierr); 583 PetscFunctionReturn(0); 584 } 585 586 587 #undef __FUNCT__ 588 #define __FUNCT__ "TSSetApplicationContext" 589 /*@C 590 TSSetApplicationContext - Sets an optional user-defined context for 591 the timesteppers. 592 593 Collective on TS 594 595 Input Parameters: 596 + ts - the TS context obtained from TSCreate() 597 - usrP - optional user context 598 599 Level: intermediate 600 601 .keywords: TS, timestep, set, application, context 602 603 .seealso: TSGetApplicationContext() 604 @*/ 605 PetscErrorCode PETSCTS_DLLEXPORT TSSetApplicationContext(TS ts,void *usrP) 606 { 607 PetscFunctionBegin; 608 PetscValidHeaderSpecific(ts,TS_COOKIE,1); 609 ts->user = usrP; 610 PetscFunctionReturn(0); 611 } 612 613 #undef __FUNCT__ 614 #define __FUNCT__ "TSGetApplicationContext" 615 /*@C 616 TSGetApplicationContext - Gets the user-defined context for the 617 timestepper. 618 619 Not Collective 620 621 Input Parameter: 622 . ts - the TS context obtained from TSCreate() 623 624 Output Parameter: 625 . usrP - user context 626 627 Level: intermediate 628 629 .keywords: TS, timestep, get, application, context 630 631 .seealso: TSSetApplicationContext() 632 @*/ 633 PetscErrorCode PETSCTS_DLLEXPORT TSGetApplicationContext(TS ts,void **usrP) 634 { 635 PetscFunctionBegin; 636 PetscValidHeaderSpecific(ts,TS_COOKIE,1); 637 *usrP = ts->user; 638 PetscFunctionReturn(0); 639 } 640 641 #undef __FUNCT__ 642 #define __FUNCT__ "TSGetTimeStepNumber" 643 /*@ 644 TSGetTimeStepNumber - Gets the current number of timesteps. 645 646 Not Collective 647 648 Input Parameter: 649 . ts - the TS context obtained from TSCreate() 650 651 Output Parameter: 652 . iter - number steps so far 653 654 Level: intermediate 655 656 .keywords: TS, timestep, get, iteration, number 657 @*/ 658 PetscErrorCode PETSCTS_DLLEXPORT TSGetTimeStepNumber(TS ts,PetscInt* iter) 659 { 660 PetscFunctionBegin; 661 PetscValidHeaderSpecific(ts,TS_COOKIE,1); 662 PetscValidIntPointer(iter,2); 663 *iter = ts->steps; 664 PetscFunctionReturn(0); 665 } 666 667 #undef __FUNCT__ 668 #define __FUNCT__ "TSSetInitialTimeStep" 669 /*@ 670 TSSetInitialTimeStep - Sets the initial timestep to be used, 671 as well as the initial time. 672 673 Collective on TS 674 675 Input Parameters: 676 + ts - the TS context obtained from TSCreate() 677 . initial_time - the initial time 678 - time_step - the size of the timestep 679 680 Level: intermediate 681 682 .seealso: TSSetTimeStep(), TSGetTimeStep() 683 684 .keywords: TS, set, initial, timestep 685 @*/ 686 PetscErrorCode PETSCTS_DLLEXPORT TSSetInitialTimeStep(TS ts,PetscReal initial_time,PetscReal time_step) 687 { 688 PetscFunctionBegin; 689 PetscValidHeaderSpecific(ts,TS_COOKIE,1); 690 ts->time_step = time_step; 691 ts->initial_time_step = time_step; 692 ts->ptime = initial_time; 693 PetscFunctionReturn(0); 694 } 695 696 #undef __FUNCT__ 697 #define __FUNCT__ "TSSetTimeStep" 698 /*@ 699 TSSetTimeStep - Allows one to reset the timestep at any time, 700 useful for simple pseudo-timestepping codes. 701 702 Collective on TS 703 704 Input Parameters: 705 + ts - the TS context obtained from TSCreate() 706 - time_step - the size of the timestep 707 708 Level: intermediate 709 710 .seealso: TSSetInitialTimeStep(), TSGetTimeStep() 711 712 .keywords: TS, set, timestep 713 @*/ 714 PetscErrorCode PETSCTS_DLLEXPORT TSSetTimeStep(TS ts,PetscReal time_step) 715 { 716 PetscFunctionBegin; 717 PetscValidHeaderSpecific(ts,TS_COOKIE,1); 718 ts->time_step = time_step; 719 PetscFunctionReturn(0); 720 } 721 722 #undef __FUNCT__ 723 #define __FUNCT__ "TSGetTimeStep" 724 /*@ 725 TSGetTimeStep - Gets the current timestep size. 726 727 Not Collective 728 729 Input Parameter: 730 . ts - the TS context obtained from TSCreate() 731 732 Output Parameter: 733 . dt - the current timestep size 734 735 Level: intermediate 736 737 .seealso: TSSetInitialTimeStep(), TSGetTimeStep() 738 739 .keywords: TS, get, timestep 740 @*/ 741 PetscErrorCode PETSCTS_DLLEXPORT TSGetTimeStep(TS ts,PetscReal* dt) 742 { 743 PetscFunctionBegin; 744 PetscValidHeaderSpecific(ts,TS_COOKIE,1); 745 PetscValidDoublePointer(dt,2); 746 *dt = ts->time_step; 747 PetscFunctionReturn(0); 748 } 749 750 #undef __FUNCT__ 751 #define __FUNCT__ "TSGetSolution" 752 /*@ 753 TSGetSolution - Returns the solution at the present timestep. It 754 is valid to call this routine inside the function that you are evaluating 755 in order to move to the new timestep. This vector not changed until 756 the solution at the next timestep has been calculated. 757 758 Not Collective, but Vec returned is parallel if TS is parallel 759 760 Input Parameter: 761 . ts - the TS context obtained from TSCreate() 762 763 Output Parameter: 764 . v - the vector containing the solution 765 766 Level: intermediate 767 768 .seealso: TSGetTimeStep() 769 770 .keywords: TS, timestep, get, solution 771 @*/ 772 PetscErrorCode PETSCTS_DLLEXPORT TSGetSolution(TS ts,Vec *v) 773 { 774 PetscFunctionBegin; 775 PetscValidHeaderSpecific(ts,TS_COOKIE,1); 776 PetscValidPointer(v,2); 777 *v = ts->vec_sol_always; 778 PetscFunctionReturn(0); 779 } 780 781 /* ----- Routines to initialize and destroy a timestepper ---- */ 782 #undef __FUNCT__ 783 #define __FUNCT__ "TSSetProblemType" 784 /*@ 785 TSSetProblemType - Sets the type of problem to be solved. 786 787 Not collective 788 789 Input Parameters: 790 + ts - The TS 791 - type - One of TS_LINEAR, TS_NONLINEAR where these types refer to problems of the forms 792 .vb 793 U_t = A U 794 U_t = A(t) U 795 U_t = F(t,U) 796 .ve 797 798 Level: beginner 799 800 .keywords: TS, problem type 801 .seealso: TSSetUp(), TSProblemType, TS 802 @*/ 803 PetscErrorCode PETSCTS_DLLEXPORT TSSetProblemType(TS ts, TSProblemType type) 804 { 805 PetscFunctionBegin; 806 PetscValidHeaderSpecific(ts, TS_COOKIE,1); 807 ts->problem_type = type; 808 PetscFunctionReturn(0); 809 } 810 811 #undef __FUNCT__ 812 #define __FUNCT__ "TSGetProblemType" 813 /*@C 814 TSGetProblemType - Gets the type of problem to be solved. 815 816 Not collective 817 818 Input Parameter: 819 . ts - The TS 820 821 Output Parameter: 822 . type - One of TS_LINEAR, TS_NONLINEAR where these types refer to problems of the forms 823 .vb 824 U_t = A U 825 U_t = A(t) U 826 U_t = F(t,U) 827 .ve 828 829 Level: beginner 830 831 .keywords: TS, problem type 832 .seealso: TSSetUp(), TSProblemType, TS 833 @*/ 834 PetscErrorCode PETSCTS_DLLEXPORT TSGetProblemType(TS ts, TSProblemType *type) 835 { 836 PetscFunctionBegin; 837 PetscValidHeaderSpecific(ts, TS_COOKIE,1); 838 PetscValidIntPointer(type,2); 839 *type = ts->problem_type; 840 PetscFunctionReturn(0); 841 } 842 843 #undef __FUNCT__ 844 #define __FUNCT__ "TSSetUp" 845 /*@ 846 TSSetUp - Sets up the internal data structures for the later use 847 of a timestepper. 848 849 Collective on TS 850 851 Input Parameter: 852 . ts - the TS context obtained from TSCreate() 853 854 Notes: 855 For basic use of the TS solvers the user need not explicitly call 856 TSSetUp(), since these actions will automatically occur during 857 the call to TSStep(). However, if one wishes to control this 858 phase separately, TSSetUp() should be called after TSCreate() 859 and optional routines of the form TSSetXXX(), but before TSStep(). 860 861 Level: advanced 862 863 .keywords: TS, timestep, setup 864 865 .seealso: TSCreate(), TSStep(), TSDestroy() 866 @*/ 867 PetscErrorCode PETSCTS_DLLEXPORT TSSetUp(TS ts) 868 { 869 PetscErrorCode ierr; 870 871 PetscFunctionBegin; 872 PetscValidHeaderSpecific(ts,TS_COOKIE,1); 873 if (!ts->vec_sol) SETERRQ(PETSC_ERR_ARG_WRONGSTATE,"Must call TSSetSolution() first"); 874 if (!((PetscObject)ts)->type_name) { 875 ierr = TSSetType(ts,TS_EULER);CHKERRQ(ierr); 876 } 877 ierr = (*ts->ops->setup)(ts);CHKERRQ(ierr); 878 ts->setupcalled = 1; 879 PetscFunctionReturn(0); 880 } 881 882 #undef __FUNCT__ 883 #define __FUNCT__ "TSDestroy" 884 /*@ 885 TSDestroy - Destroys the timestepper context that was created 886 with TSCreate(). 887 888 Collective on TS 889 890 Input Parameter: 891 . ts - the TS context obtained from TSCreate() 892 893 Level: beginner 894 895 .keywords: TS, timestepper, destroy 896 897 .seealso: TSCreate(), TSSetUp(), TSSolve() 898 @*/ 899 PetscErrorCode PETSCTS_DLLEXPORT TSDestroy(TS ts) 900 { 901 PetscErrorCode ierr; 902 903 PetscFunctionBegin; 904 PetscValidHeaderSpecific(ts,TS_COOKIE,1); 905 if (--((PetscObject)ts)->refct > 0) PetscFunctionReturn(0); 906 907 /* if memory was published with AMS then destroy it */ 908 ierr = PetscObjectDepublish(ts);CHKERRQ(ierr); 909 if (ts->A) {ierr = MatDestroy(ts->A);CHKERRQ(ierr)} 910 if (ts->ksp) {ierr = KSPDestroy(ts->ksp);CHKERRQ(ierr);} 911 if (ts->snes) {ierr = SNESDestroy(ts->snes);CHKERRQ(ierr);} 912 if (ts->ops->destroy) {ierr = (*(ts)->ops->destroy)(ts);CHKERRQ(ierr);} 913 ierr = TSMonitorCancel(ts);CHKERRQ(ierr); 914 ierr = PetscHeaderDestroy(ts);CHKERRQ(ierr); 915 PetscFunctionReturn(0); 916 } 917 918 #undef __FUNCT__ 919 #define __FUNCT__ "TSGetSNES" 920 /*@ 921 TSGetSNES - Returns the SNES (nonlinear solver) associated with 922 a TS (timestepper) context. Valid only for nonlinear problems. 923 924 Not Collective, but SNES is parallel if TS is parallel 925 926 Input Parameter: 927 . ts - the TS context obtained from TSCreate() 928 929 Output Parameter: 930 . snes - the nonlinear solver context 931 932 Notes: 933 The user can then directly manipulate the SNES context to set various 934 options, etc. Likewise, the user can then extract and manipulate the 935 KSP, KSP, and PC contexts as well. 936 937 TSGetSNES() does not work for integrators that do not use SNES; in 938 this case TSGetSNES() returns PETSC_NULL in snes. 939 940 Level: beginner 941 942 .keywords: timestep, get, SNES 943 @*/ 944 PetscErrorCode PETSCTS_DLLEXPORT TSGetSNES(TS ts,SNES *snes) 945 { 946 PetscFunctionBegin; 947 PetscValidHeaderSpecific(ts,TS_COOKIE,1); 948 PetscValidPointer(snes,2); 949 if (ts->problem_type == TS_LINEAR) SETERRQ(PETSC_ERR_ARG_WRONG,"Nonlinear only; use TSGetKSP()"); 950 *snes = ts->snes; 951 PetscFunctionReturn(0); 952 } 953 954 #undef __FUNCT__ 955 #define __FUNCT__ "TSGetKSP" 956 /*@ 957 TSGetKSP - Returns the KSP (linear solver) associated with 958 a TS (timestepper) context. 959 960 Not Collective, but KSP is parallel if TS is parallel 961 962 Input Parameter: 963 . ts - the TS context obtained from TSCreate() 964 965 Output Parameter: 966 . ksp - the nonlinear solver context 967 968 Notes: 969 The user can then directly manipulate the KSP context to set various 970 options, etc. Likewise, the user can then extract and manipulate the 971 KSP and PC contexts as well. 972 973 TSGetKSP() does not work for integrators that do not use KSP; 974 in this case TSGetKSP() returns PETSC_NULL in ksp. 975 976 Level: beginner 977 978 .keywords: timestep, get, KSP 979 @*/ 980 PetscErrorCode PETSCTS_DLLEXPORT TSGetKSP(TS ts,KSP *ksp) 981 { 982 PetscFunctionBegin; 983 PetscValidHeaderSpecific(ts,TS_COOKIE,1); 984 PetscValidPointer(ksp,2); 985 if (ts->problem_type != TS_LINEAR) SETERRQ(PETSC_ERR_ARG_WRONG,"Linear only; use TSGetSNES()"); 986 *ksp = ts->ksp; 987 PetscFunctionReturn(0); 988 } 989 990 /* ----------- Routines to set solver parameters ---------- */ 991 992 #undef __FUNCT__ 993 #define __FUNCT__ "TSGetDuration" 994 /*@ 995 TSGetDuration - Gets the maximum number of timesteps to use and 996 maximum time for iteration. 997 998 Collective on TS 999 1000 Input Parameters: 1001 + ts - the TS context obtained from TSCreate() 1002 . maxsteps - maximum number of iterations to use, or PETSC_NULL 1003 - maxtime - final time to iterate to, or PETSC_NULL 1004 1005 Level: intermediate 1006 1007 .keywords: TS, timestep, get, maximum, iterations, time 1008 @*/ 1009 PetscErrorCode PETSCTS_DLLEXPORT TSGetDuration(TS ts, PetscInt *maxsteps, PetscReal *maxtime) 1010 { 1011 PetscFunctionBegin; 1012 PetscValidHeaderSpecific(ts, TS_COOKIE,1); 1013 if (maxsteps) { 1014 PetscValidIntPointer(maxsteps,2); 1015 *maxsteps = ts->max_steps; 1016 } 1017 if (maxtime ) { 1018 PetscValidScalarPointer(maxtime,3); 1019 *maxtime = ts->max_time; 1020 } 1021 PetscFunctionReturn(0); 1022 } 1023 1024 #undef __FUNCT__ 1025 #define __FUNCT__ "TSSetDuration" 1026 /*@ 1027 TSSetDuration - Sets the maximum number of timesteps to use and 1028 maximum time for iteration. 1029 1030 Collective on TS 1031 1032 Input Parameters: 1033 + ts - the TS context obtained from TSCreate() 1034 . maxsteps - maximum number of iterations to use 1035 - maxtime - final time to iterate to 1036 1037 Options Database Keys: 1038 . -ts_max_steps <maxsteps> - Sets maxsteps 1039 . -ts_max_time <maxtime> - Sets maxtime 1040 1041 Notes: 1042 The default maximum number of iterations is 5000. Default time is 5.0 1043 1044 Level: intermediate 1045 1046 .keywords: TS, timestep, set, maximum, iterations 1047 @*/ 1048 PetscErrorCode PETSCTS_DLLEXPORT TSSetDuration(TS ts,PetscInt maxsteps,PetscReal maxtime) 1049 { 1050 PetscFunctionBegin; 1051 PetscValidHeaderSpecific(ts,TS_COOKIE,1); 1052 ts->max_steps = maxsteps; 1053 ts->max_time = maxtime; 1054 PetscFunctionReturn(0); 1055 } 1056 1057 #undef __FUNCT__ 1058 #define __FUNCT__ "TSSetSolution" 1059 /*@ 1060 TSSetSolution - Sets the initial solution vector 1061 for use by the TS routines. 1062 1063 Collective on TS and Vec 1064 1065 Input Parameters: 1066 + ts - the TS context obtained from TSCreate() 1067 - x - the solution vector 1068 1069 Level: beginner 1070 1071 .keywords: TS, timestep, set, solution, initial conditions 1072 @*/ 1073 PetscErrorCode PETSCTS_DLLEXPORT TSSetSolution(TS ts,Vec x) 1074 { 1075 PetscFunctionBegin; 1076 PetscValidHeaderSpecific(ts,TS_COOKIE,1); 1077 PetscValidHeaderSpecific(x,VEC_COOKIE,2); 1078 ts->vec_sol = ts->vec_sol_always = x; 1079 PetscFunctionReturn(0); 1080 } 1081 1082 #undef __FUNCT__ 1083 #define __FUNCT__ "TSSetPreStep" 1084 /*@C 1085 TSSetPreStep - Sets the general-purpose function 1086 called once at the beginning of time stepping. 1087 1088 Collective on TS 1089 1090 Input Parameters: 1091 + ts - The TS context obtained from TSCreate() 1092 - func - The function 1093 1094 Calling sequence of func: 1095 . func (TS ts); 1096 1097 Level: intermediate 1098 1099 .keywords: TS, timestep 1100 @*/ 1101 PetscErrorCode PETSCTS_DLLEXPORT TSSetPreStep(TS ts, PetscErrorCode (*func)(TS)) 1102 { 1103 PetscFunctionBegin; 1104 PetscValidHeaderSpecific(ts, TS_COOKIE,1); 1105 ts->ops->prestep = func; 1106 PetscFunctionReturn(0); 1107 } 1108 1109 #undef __FUNCT__ 1110 #define __FUNCT__ "TSDefaultPreStep" 1111 /*@ 1112 TSDefaultPreStep - The default pre-stepping function which does nothing. 1113 1114 Collective on TS 1115 1116 Input Parameters: 1117 . ts - The TS context obtained from TSCreate() 1118 1119 Level: developer 1120 1121 .keywords: TS, timestep 1122 @*/ 1123 PetscErrorCode PETSCTS_DLLEXPORT TSDefaultPreStep(TS ts) 1124 { 1125 PetscFunctionBegin; 1126 PetscFunctionReturn(0); 1127 } 1128 1129 #undef __FUNCT__ 1130 #define __FUNCT__ "TSSetUpdate" 1131 /*@C 1132 TSSetUpdate - Sets the general-purpose update function called 1133 at the beginning of every time step. This function can change 1134 the time step. 1135 1136 Collective on TS 1137 1138 Input Parameters: 1139 + ts - The TS context obtained from TSCreate() 1140 - func - The function 1141 1142 Calling sequence of func: 1143 . func (TS ts, double t, double *dt); 1144 1145 + t - The current time 1146 - dt - The current time step 1147 1148 Level: intermediate 1149 1150 .keywords: TS, update, timestep 1151 @*/ 1152 PetscErrorCode PETSCTS_DLLEXPORT TSSetUpdate(TS ts, PetscErrorCode (*func)(TS, PetscReal, PetscReal *)) 1153 { 1154 PetscFunctionBegin; 1155 PetscValidHeaderSpecific(ts, TS_COOKIE,1); 1156 ts->ops->update = func; 1157 PetscFunctionReturn(0); 1158 } 1159 1160 #undef __FUNCT__ 1161 #define __FUNCT__ "TSSetPostUpdate" 1162 /*@C 1163 TSSetPostUpdate - Sets the general-purpose update function called 1164 after every time step. 1165 1166 Collective on TS 1167 1168 Input Parameters: 1169 + ts - The TS context obtained from TSCreate() 1170 - func - The function 1171 1172 Calling sequence of func: 1173 . func (TS ts, double t, double *dt); 1174 1175 + t - The current time 1176 - dt - The current time step 1177 1178 Level: intermediate 1179 1180 .keywords: TS, update, timestep 1181 @*/ 1182 PetscErrorCode PETSCTS_DLLEXPORT TSSetPostUpdate(TS ts, PetscErrorCode (*func)(TS, PetscReal, PetscReal *)) 1183 { 1184 PetscFunctionBegin; 1185 PetscValidHeaderSpecific(ts, TS_COOKIE,1); 1186 ts->ops->postupdate = func; 1187 PetscFunctionReturn(0); 1188 } 1189 1190 #undef __FUNCT__ 1191 #define __FUNCT__ "TSDefaultUpdate" 1192 /*@ 1193 TSDefaultUpdate - The default update function which does nothing. 1194 1195 Collective on TS 1196 1197 Input Parameters: 1198 + ts - The TS context obtained from TSCreate() 1199 - t - The current time 1200 1201 Output Parameters: 1202 . dt - The current time step 1203 1204 Level: developer 1205 1206 .keywords: TS, update, timestep 1207 @*/ 1208 PetscErrorCode PETSCTS_DLLEXPORT TSDefaultUpdate(TS ts, PetscReal t, PetscReal *dt) 1209 { 1210 PetscFunctionBegin; 1211 PetscFunctionReturn(0); 1212 } 1213 1214 #undef __FUNCT__ 1215 #define __FUNCT__ "TSSetPostStep" 1216 /*@C 1217 TSSetPostStep - Sets the general-purpose function 1218 called once at the end of time stepping. 1219 1220 Collective on TS 1221 1222 Input Parameters: 1223 + ts - The TS context obtained from TSCreate() 1224 - func - The function 1225 1226 Calling sequence of func: 1227 . func (TS ts); 1228 1229 Level: intermediate 1230 1231 .keywords: TS, timestep 1232 @*/ 1233 PetscErrorCode PETSCTS_DLLEXPORT TSSetPostStep(TS ts, PetscErrorCode (*func)(TS)) 1234 { 1235 PetscFunctionBegin; 1236 PetscValidHeaderSpecific(ts, TS_COOKIE,1); 1237 ts->ops->poststep = func; 1238 PetscFunctionReturn(0); 1239 } 1240 1241 #undef __FUNCT__ 1242 #define __FUNCT__ "TSDefaultPostStep" 1243 /*@ 1244 TSDefaultPostStep - The default post-stepping function which does nothing. 1245 1246 Collective on TS 1247 1248 Input Parameters: 1249 . ts - The TS context obtained from TSCreate() 1250 1251 Level: developer 1252 1253 .keywords: TS, timestep 1254 @*/ 1255 PetscErrorCode PETSCTS_DLLEXPORT TSDefaultPostStep(TS ts) 1256 { 1257 PetscFunctionBegin; 1258 PetscFunctionReturn(0); 1259 } 1260 1261 /* ------------ Routines to set performance monitoring options ----------- */ 1262 1263 #undef __FUNCT__ 1264 #define __FUNCT__ "TSMonitorSet" 1265 /*@C 1266 TSMonitorSet - Sets an ADDITIONAL function that is to be used at every 1267 timestep to display the iteration's progress. 1268 1269 Collective on TS 1270 1271 Input Parameters: 1272 + ts - the TS context obtained from TSCreate() 1273 . func - monitoring routine 1274 . mctx - [optional] user-defined context for private data for the 1275 monitor routine (use PETSC_NULL if no context is desired) 1276 - monitordestroy - [optional] routine that frees monitor context 1277 (may be PETSC_NULL) 1278 1279 Calling sequence of func: 1280 $ int func(TS ts,PetscInt steps,PetscReal time,Vec x,void *mctx) 1281 1282 + ts - the TS context 1283 . steps - iteration number 1284 . time - current time 1285 . x - current iterate 1286 - mctx - [optional] monitoring context 1287 1288 Notes: 1289 This routine adds an additional monitor to the list of monitors that 1290 already has been loaded. 1291 1292 Fortran notes: Only a single monitor function can be set for each TS object 1293 1294 Level: intermediate 1295 1296 .keywords: TS, timestep, set, monitor 1297 1298 .seealso: TSMonitorDefault(), TSMonitorCancel() 1299 @*/ 1300 PetscErrorCode PETSCTS_DLLEXPORT TSMonitorSet(TS ts,PetscErrorCode (*monitor)(TS,PetscInt,PetscReal,Vec,void*),void *mctx,PetscErrorCode (*mdestroy)(void*)) 1301 { 1302 PetscFunctionBegin; 1303 PetscValidHeaderSpecific(ts,TS_COOKIE,1); 1304 if (ts->numbermonitors >= MAXTSMONITORS) { 1305 SETERRQ(PETSC_ERR_ARG_OUTOFRANGE,"Too many monitors set"); 1306 } 1307 ts->monitor[ts->numbermonitors] = monitor; 1308 ts->mdestroy[ts->numbermonitors] = mdestroy; 1309 ts->monitorcontext[ts->numbermonitors++] = (void*)mctx; 1310 PetscFunctionReturn(0); 1311 } 1312 1313 #undef __FUNCT__ 1314 #define __FUNCT__ "TSMonitorCancel" 1315 /*@C 1316 TSMonitorCancel - Clears all the monitors that have been set on a time-step object. 1317 1318 Collective on TS 1319 1320 Input Parameters: 1321 . ts - the TS context obtained from TSCreate() 1322 1323 Notes: 1324 There is no way to remove a single, specific monitor. 1325 1326 Level: intermediate 1327 1328 .keywords: TS, timestep, set, monitor 1329 1330 .seealso: TSMonitorDefault(), TSMonitorSet() 1331 @*/ 1332 PetscErrorCode PETSCTS_DLLEXPORT TSMonitorCancel(TS ts) 1333 { 1334 PetscErrorCode ierr; 1335 PetscInt i; 1336 1337 PetscFunctionBegin; 1338 PetscValidHeaderSpecific(ts,TS_COOKIE,1); 1339 for (i=0; i<ts->numbermonitors; i++) { 1340 if (ts->mdestroy[i]) { 1341 ierr = (*ts->mdestroy[i])(ts->monitorcontext[i]);CHKERRQ(ierr); 1342 } 1343 } 1344 ts->numbermonitors = 0; 1345 PetscFunctionReturn(0); 1346 } 1347 1348 #undef __FUNCT__ 1349 #define __FUNCT__ "TSMonitorDefault" 1350 /*@ 1351 TSMonitorDefault - Sets the Default monitor 1352 1353 Level: intermediate 1354 1355 .keywords: TS, set, monitor 1356 1357 .seealso: TSMonitorDefault(), TSMonitorSet() 1358 @*/ 1359 PetscErrorCode TSMonitorDefault(TS ts,PetscInt step,PetscReal ptime,Vec v,void *ctx) 1360 { 1361 PetscErrorCode ierr; 1362 PetscViewerASCIIMonitor viewer = (PetscViewerASCIIMonitor)ctx; 1363 1364 PetscFunctionBegin; 1365 if (!ctx) { 1366 ierr = PetscViewerASCIIMonitorCreate(((PetscObject)ts)->comm,"stdout",0,&viewer);CHKERRQ(ierr); 1367 } 1368 ierr = PetscViewerASCIIMonitorPrintf(viewer,"timestep %D dt %G time %G\n",step,ts->time_step,ptime);CHKERRQ(ierr); 1369 if (!ctx) { 1370 ierr = PetscViewerASCIIMonitorDestroy(viewer);CHKERRQ(ierr); 1371 } 1372 PetscFunctionReturn(0); 1373 } 1374 1375 #undef __FUNCT__ 1376 #define __FUNCT__ "TSStep" 1377 /*@ 1378 TSStep - Steps the requested number of timesteps. 1379 1380 Collective on TS 1381 1382 Input Parameter: 1383 . ts - the TS context obtained from TSCreate() 1384 1385 Output Parameters: 1386 + steps - number of iterations until termination 1387 - ptime - time until termination 1388 1389 Level: beginner 1390 1391 .keywords: TS, timestep, solve 1392 1393 .seealso: TSCreate(), TSSetUp(), TSDestroy() 1394 @*/ 1395 PetscErrorCode PETSCTS_DLLEXPORT TSStep(TS ts,PetscInt *steps,PetscReal *ptime) 1396 { 1397 PetscErrorCode ierr; 1398 1399 PetscFunctionBegin; 1400 PetscValidHeaderSpecific(ts, TS_COOKIE,1); 1401 if (!ts->setupcalled) { 1402 ierr = TSSetUp(ts);CHKERRQ(ierr); 1403 } 1404 1405 ierr = PetscLogEventBegin(TS_Step, ts, 0, 0, 0);CHKERRQ(ierr); 1406 ierr = (*ts->ops->prestep)(ts);CHKERRQ(ierr); 1407 ierr = (*ts->ops->step)(ts, steps, ptime);CHKERRQ(ierr); 1408 ierr = (*ts->ops->poststep)(ts);CHKERRQ(ierr); 1409 ierr = PetscLogEventEnd(TS_Step, ts, 0, 0, 0);CHKERRQ(ierr); 1410 1411 if (!PetscPreLoadingOn) { 1412 ierr = TSViewFromOptions(ts,((PetscObject)ts)->name);CHKERRQ(ierr); 1413 } 1414 PetscFunctionReturn(0); 1415 } 1416 1417 #undef __FUNCT__ 1418 #define __FUNCT__ "TSSolve" 1419 /*@ 1420 TSSolve - Steps the requested number of timesteps. 1421 1422 Collective on TS 1423 1424 Input Parameter: 1425 + ts - the TS context obtained from TSCreate() 1426 - x - the solution vector, or PETSC_NULL if it was set with TSSetSolution() 1427 1428 Level: beginner 1429 1430 .keywords: TS, timestep, solve 1431 1432 .seealso: TSCreate(), TSSetSolution(), TSStep() 1433 @*/ 1434 PetscErrorCode PETSCTS_DLLEXPORT TSSolve(TS ts, Vec x) 1435 { 1436 PetscInt steps; 1437 PetscReal ptime; 1438 PetscErrorCode ierr; 1439 PetscFunctionBegin; 1440 PetscValidHeaderSpecific(ts,TS_COOKIE,1); 1441 /* set solution vector if provided */ 1442 if (x) { ierr = TSSetSolution(ts, x); CHKERRQ(ierr); } 1443 /* reset time step and iteration counters */ 1444 ts->steps = 0; ts->linear_its = 0; ts->nonlinear_its = 0; 1445 /* steps the requested number of timesteps. */ 1446 ierr = TSStep(ts, &steps, &ptime);CHKERRQ(ierr); 1447 PetscFunctionReturn(0); 1448 } 1449 1450 #undef __FUNCT__ 1451 #define __FUNCT__ "TSMonitor" 1452 /* 1453 Runs the user provided monitor routines, if they exists. 1454 */ 1455 PetscErrorCode TSMonitor(TS ts,PetscInt step,PetscReal ptime,Vec x) 1456 { 1457 PetscErrorCode ierr; 1458 PetscInt i,n = ts->numbermonitors; 1459 1460 PetscFunctionBegin; 1461 for (i=0; i<n; i++) { 1462 ierr = (*ts->monitor[i])(ts,step,ptime,x,ts->monitorcontext[i]);CHKERRQ(ierr); 1463 } 1464 PetscFunctionReturn(0); 1465 } 1466 1467 /* ------------------------------------------------------------------------*/ 1468 1469 #undef __FUNCT__ 1470 #define __FUNCT__ "TSMonitorLGCreate" 1471 /*@C 1472 TSMonitorLGCreate - Creates a line graph context for use with 1473 TS to monitor convergence of preconditioned residual norms. 1474 1475 Collective on TS 1476 1477 Input Parameters: 1478 + host - the X display to open, or null for the local machine 1479 . label - the title to put in the title bar 1480 . x, y - the screen coordinates of the upper left coordinate of the window 1481 - m, n - the screen width and height in pixels 1482 1483 Output Parameter: 1484 . draw - the drawing context 1485 1486 Options Database Key: 1487 . -ts_monitor_draw - automatically sets line graph monitor 1488 1489 Notes: 1490 Use TSMonitorLGDestroy() to destroy this line graph, not PetscDrawLGDestroy(). 1491 1492 Level: intermediate 1493 1494 .keywords: TS, monitor, line graph, residual, seealso 1495 1496 .seealso: TSMonitorLGDestroy(), TSMonitorSet() 1497 1498 @*/ 1499 PetscErrorCode PETSCTS_DLLEXPORT TSMonitorLGCreate(const char host[],const char label[],int x,int y,int m,int n,PetscDrawLG *draw) 1500 { 1501 PetscDraw win; 1502 PetscErrorCode ierr; 1503 1504 PetscFunctionBegin; 1505 ierr = PetscDrawCreate(PETSC_COMM_SELF,host,label,x,y,m,n,&win);CHKERRQ(ierr); 1506 ierr = PetscDrawSetType(win,PETSC_DRAW_X);CHKERRQ(ierr); 1507 ierr = PetscDrawLGCreate(win,1,draw);CHKERRQ(ierr); 1508 ierr = PetscDrawLGIndicateDataPoints(*draw);CHKERRQ(ierr); 1509 1510 ierr = PetscLogObjectParent(*draw,win);CHKERRQ(ierr); 1511 PetscFunctionReturn(0); 1512 } 1513 1514 #undef __FUNCT__ 1515 #define __FUNCT__ "TSMonitorLG" 1516 PetscErrorCode TSMonitorLG(TS ts,PetscInt n,PetscReal ptime,Vec v,void *monctx) 1517 { 1518 PetscDrawLG lg = (PetscDrawLG) monctx; 1519 PetscReal x,y = ptime; 1520 PetscErrorCode ierr; 1521 1522 PetscFunctionBegin; 1523 if (!monctx) { 1524 MPI_Comm comm; 1525 PetscViewer viewer; 1526 1527 ierr = PetscObjectGetComm((PetscObject)ts,&comm);CHKERRQ(ierr); 1528 viewer = PETSC_VIEWER_DRAW_(comm); 1529 ierr = PetscViewerDrawGetDrawLG(viewer,0,&lg);CHKERRQ(ierr); 1530 } 1531 1532 if (!n) {ierr = PetscDrawLGReset(lg);CHKERRQ(ierr);} 1533 x = (PetscReal)n; 1534 ierr = PetscDrawLGAddPoint(lg,&x,&y);CHKERRQ(ierr); 1535 if (n < 20 || (n % 5)) { 1536 ierr = PetscDrawLGDraw(lg);CHKERRQ(ierr); 1537 } 1538 PetscFunctionReturn(0); 1539 } 1540 1541 #undef __FUNCT__ 1542 #define __FUNCT__ "TSMonitorLGDestroy" 1543 /*@C 1544 TSMonitorLGDestroy - Destroys a line graph context that was created 1545 with TSMonitorLGCreate(). 1546 1547 Collective on PetscDrawLG 1548 1549 Input Parameter: 1550 . draw - the drawing context 1551 1552 Level: intermediate 1553 1554 .keywords: TS, monitor, line graph, destroy 1555 1556 .seealso: TSMonitorLGCreate(), TSMonitorSet(), TSMonitorLG(); 1557 @*/ 1558 PetscErrorCode PETSCTS_DLLEXPORT TSMonitorLGDestroy(PetscDrawLG drawlg) 1559 { 1560 PetscDraw draw; 1561 PetscErrorCode ierr; 1562 1563 PetscFunctionBegin; 1564 ierr = PetscDrawLGGetDraw(drawlg,&draw);CHKERRQ(ierr); 1565 ierr = PetscDrawDestroy(draw);CHKERRQ(ierr); 1566 ierr = PetscDrawLGDestroy(drawlg);CHKERRQ(ierr); 1567 PetscFunctionReturn(0); 1568 } 1569 1570 #undef __FUNCT__ 1571 #define __FUNCT__ "TSGetTime" 1572 /*@ 1573 TSGetTime - Gets the current time. 1574 1575 Not Collective 1576 1577 Input Parameter: 1578 . ts - the TS context obtained from TSCreate() 1579 1580 Output Parameter: 1581 . t - the current time 1582 1583 Contributed by: Matthew Knepley 1584 1585 Level: beginner 1586 1587 .seealso: TSSetInitialTimeStep(), TSGetTimeStep() 1588 1589 .keywords: TS, get, time 1590 @*/ 1591 PetscErrorCode PETSCTS_DLLEXPORT TSGetTime(TS ts,PetscReal* t) 1592 { 1593 PetscFunctionBegin; 1594 PetscValidHeaderSpecific(ts,TS_COOKIE,1); 1595 PetscValidDoublePointer(t,2); 1596 *t = ts->ptime; 1597 PetscFunctionReturn(0); 1598 } 1599 1600 #undef __FUNCT__ 1601 #define __FUNCT__ "TSSetTime" 1602 /*@ 1603 TSSetTime - Allows one to reset the time. 1604 1605 Collective on TS 1606 1607 Input Parameters: 1608 + ts - the TS context obtained from TSCreate() 1609 - time - the time 1610 1611 Level: intermediate 1612 1613 .seealso: TSGetTime(), TSSetDuration() 1614 1615 .keywords: TS, set, time 1616 @*/ 1617 PetscErrorCode PETSCTS_DLLEXPORT TSSetTime(TS ts, PetscReal t) 1618 { 1619 PetscFunctionBegin; 1620 PetscValidHeaderSpecific(ts,TS_COOKIE,1); 1621 ts->ptime = t; 1622 PetscFunctionReturn(0); 1623 } 1624 1625 #undef __FUNCT__ 1626 #define __FUNCT__ "TSSetOptionsPrefix" 1627 /*@C 1628 TSSetOptionsPrefix - Sets the prefix used for searching for all 1629 TS options in the database. 1630 1631 Collective on TS 1632 1633 Input Parameter: 1634 + ts - The TS context 1635 - prefix - The prefix to prepend to all option names 1636 1637 Notes: 1638 A hyphen (-) must NOT be given at the beginning of the prefix name. 1639 The first character of all runtime options is AUTOMATICALLY the 1640 hyphen. 1641 1642 Contributed by: Matthew Knepley 1643 1644 Level: advanced 1645 1646 .keywords: TS, set, options, prefix, database 1647 1648 .seealso: TSSetFromOptions() 1649 1650 @*/ 1651 PetscErrorCode PETSCTS_DLLEXPORT TSSetOptionsPrefix(TS ts,const char prefix[]) 1652 { 1653 PetscErrorCode ierr; 1654 1655 PetscFunctionBegin; 1656 PetscValidHeaderSpecific(ts,TS_COOKIE,1); 1657 ierr = PetscObjectSetOptionsPrefix((PetscObject)ts,prefix);CHKERRQ(ierr); 1658 switch(ts->problem_type) { 1659 case TS_NONLINEAR: 1660 if (ts->snes) { 1661 ierr = SNESSetOptionsPrefix(ts->snes,prefix);CHKERRQ(ierr); 1662 } 1663 break; 1664 case TS_LINEAR: 1665 if (ts->ksp) { 1666 ierr = KSPSetOptionsPrefix(ts->ksp,prefix);CHKERRQ(ierr); 1667 } 1668 break; 1669 } 1670 PetscFunctionReturn(0); 1671 } 1672 1673 1674 #undef __FUNCT__ 1675 #define __FUNCT__ "TSAppendOptionsPrefix" 1676 /*@C 1677 TSAppendOptionsPrefix - Appends to the prefix used for searching for all 1678 TS options in the database. 1679 1680 Collective on TS 1681 1682 Input Parameter: 1683 + ts - The TS context 1684 - prefix - The prefix to prepend to all option names 1685 1686 Notes: 1687 A hyphen (-) must NOT be given at the beginning of the prefix name. 1688 The first character of all runtime options is AUTOMATICALLY the 1689 hyphen. 1690 1691 Contributed by: Matthew Knepley 1692 1693 Level: advanced 1694 1695 .keywords: TS, append, options, prefix, database 1696 1697 .seealso: TSGetOptionsPrefix() 1698 1699 @*/ 1700 PetscErrorCode PETSCTS_DLLEXPORT TSAppendOptionsPrefix(TS ts,const char prefix[]) 1701 { 1702 PetscErrorCode ierr; 1703 1704 PetscFunctionBegin; 1705 PetscValidHeaderSpecific(ts,TS_COOKIE,1); 1706 ierr = PetscObjectAppendOptionsPrefix((PetscObject)ts,prefix);CHKERRQ(ierr); 1707 switch(ts->problem_type) { 1708 case TS_NONLINEAR: 1709 if (ts->snes) { 1710 ierr = SNESAppendOptionsPrefix(ts->snes,prefix);CHKERRQ(ierr); 1711 } 1712 break; 1713 case TS_LINEAR: 1714 if (ts->ksp) { 1715 ierr = KSPAppendOptionsPrefix(ts->ksp,prefix);CHKERRQ(ierr); 1716 } 1717 break; 1718 } 1719 PetscFunctionReturn(0); 1720 } 1721 1722 #undef __FUNCT__ 1723 #define __FUNCT__ "TSGetOptionsPrefix" 1724 /*@C 1725 TSGetOptionsPrefix - Sets the prefix used for searching for all 1726 TS options in the database. 1727 1728 Not Collective 1729 1730 Input Parameter: 1731 . ts - The TS context 1732 1733 Output Parameter: 1734 . prefix - A pointer to the prefix string used 1735 1736 Contributed by: Matthew Knepley 1737 1738 Notes: On the fortran side, the user should pass in a string 'prifix' of 1739 sufficient length to hold the prefix. 1740 1741 Level: intermediate 1742 1743 .keywords: TS, get, options, prefix, database 1744 1745 .seealso: TSAppendOptionsPrefix() 1746 @*/ 1747 PetscErrorCode PETSCTS_DLLEXPORT TSGetOptionsPrefix(TS ts,const char *prefix[]) 1748 { 1749 PetscErrorCode ierr; 1750 1751 PetscFunctionBegin; 1752 PetscValidHeaderSpecific(ts,TS_COOKIE,1); 1753 PetscValidPointer(prefix,2); 1754 ierr = PetscObjectGetOptionsPrefix((PetscObject)ts,prefix);CHKERRQ(ierr); 1755 PetscFunctionReturn(0); 1756 } 1757 1758 #undef __FUNCT__ 1759 #define __FUNCT__ "TSGetRHSJacobian" 1760 /*@C 1761 TSGetRHSJacobian - Returns the Jacobian J at the present timestep. 1762 1763 Not Collective, but parallel objects are returned if TS is parallel 1764 1765 Input Parameter: 1766 . ts - The TS context obtained from TSCreate() 1767 1768 Output Parameters: 1769 + J - The Jacobian J of F, where U_t = F(U,t) 1770 . M - The preconditioner matrix, usually the same as J 1771 - ctx - User-defined context for Jacobian evaluation routine 1772 1773 Notes: You can pass in PETSC_NULL for any return argument you do not need. 1774 1775 Level: intermediate 1776 1777 .seealso: TSGetTimeStep(), TSGetMatrices(), TSGetTime(), TSGetTimeStepNumber() 1778 1779 .keywords: TS, timestep, get, matrix, Jacobian 1780 @*/ 1781 PetscErrorCode PETSCTS_DLLEXPORT TSGetRHSJacobian(TS ts,Mat *J,Mat *M,void **ctx) 1782 { 1783 PetscFunctionBegin; 1784 if (J) *J = ts->Arhs; 1785 if (M) *M = ts->B; 1786 if (ctx) *ctx = ts->jacP; 1787 PetscFunctionReturn(0); 1788 } 1789 1790 #undef __FUNCT__ 1791 #define __FUNCT__ "TSMonitorSolution" 1792 /*@C 1793 TSMonitorSolution - Monitors progress of the TS solvers by calling 1794 VecView() for the solution at each timestep 1795 1796 Collective on TS 1797 1798 Input Parameters: 1799 + ts - the TS context 1800 . step - current time-step 1801 . ptime - current time 1802 - dummy - either a viewer or PETSC_NULL 1803 1804 Level: intermediate 1805 1806 .keywords: TS, vector, monitor, view 1807 1808 .seealso: TSMonitorSet(), TSMonitorDefault(), VecView() 1809 @*/ 1810 PetscErrorCode PETSCTS_DLLEXPORT TSMonitorSolution(TS ts,PetscInt step,PetscReal ptime,Vec x,void *dummy) 1811 { 1812 PetscErrorCode ierr; 1813 PetscViewer viewer = (PetscViewer) dummy; 1814 1815 PetscFunctionBegin; 1816 if (!dummy) { 1817 viewer = PETSC_VIEWER_DRAW_(((PetscObject)ts)->comm); 1818 } 1819 ierr = VecView(x,viewer);CHKERRQ(ierr); 1820 PetscFunctionReturn(0); 1821 } 1822 1823 1824 1825