1 #ifdef PETSC_RCS_HEADER 2 3 #endif 4 5 #include "src/ts/tsimpl.h" /*I "ts.h" I*/ 6 7 #undef __FUNC__ 8 #define __FUNC__ "TSComputeRHSFunction" 9 /* 10 TSComputeRHSFunction - Evaluates the right-hand-side function. 11 12 Note: If the user did not provide a function but merely a matrix, 13 this routine applies the matrix. 14 */ 15 int TSComputeRHSFunction(TS ts,double t,Vec x, Vec y) 16 { 17 int ierr; 18 19 PetscFunctionBegin; 20 PetscValidHeaderSpecific(ts,TS_COOKIE); 21 PetscValidHeader(x); PetscValidHeader(y); 22 23 if (ts->rhsfunction) { 24 PetscStackPush("TS user right-hand-side function"); 25 ierr = (*ts->rhsfunction)(ts,t,x,y,ts->funP);CHKERRQ(ierr); 26 PetscStackPop; 27 PetscFunctionReturn(0); 28 } 29 30 if (ts->rhsmatrix) { /* assemble matrix for this timestep */ 31 MatStructure flg; 32 PetscStackPush("TS user right-hand-side matrix function"); 33 ierr = (*ts->rhsmatrix)(ts,t,&ts->A,&ts->B,&flg,ts->jacP);CHKERRQ(ierr); 34 PetscStackPop; 35 } 36 ierr = MatMult(ts->A,x,y);CHKERRQ(ierr); 37 38 /* apply user-provided boundary conditions (only needed if these are time dependent) */ 39 ierr = TSComputeRHSBoundaryConditions(ts,t,y);CHKERRQ(ierr); 40 41 PetscFunctionReturn(0); 42 } 43 44 #undef __FUNC__ 45 #define __FUNC__ "TSSetRHSFunction" 46 /*@C 47 TSSetRHSFunction - Sets the routine for evaluating the function, 48 F(t,u), where U_t = F(t,u). 49 50 Collective on TS 51 52 Input Parameters: 53 + ts - the TS context obtained from TSCreate() 54 . f - routine for evaluating the right-hand-side function 55 - ctx - [optional] user-defined context for private data for the 56 function evaluation routine (may be PETSC_NULL) 57 58 Calling sequence of func: 59 $ func (TS ts,double t,Vec u,Vec F,void *ctx); 60 61 + t - current timestep 62 . u - input vector 63 . F - function vector 64 - ctx - [optional] user-defined function context 65 66 Important: 67 The user MUST call either this routine or TSSetRHSMatrix(). 68 69 Level: beginner 70 71 .keywords: TS, timestep, set, right-hand-side, function 72 73 .seealso: TSSetRHSMatrix() 74 @*/ 75 int TSSetRHSFunction(TS ts,int (*f)(TS,double,Vec,Vec,void*),void *ctx) 76 { 77 PetscFunctionBegin; 78 79 PetscValidHeaderSpecific(ts,TS_COOKIE); 80 if (ts->problem_type == TS_LINEAR) { 81 SETERRQ(PETSC_ERR_ARG_WRONG,0,"Cannot set function for linear problem"); 82 } 83 ts->rhsfunction = f; 84 ts->funP = ctx; 85 PetscFunctionReturn(0); 86 } 87 88 #undef __FUNC__ 89 #define __FUNC__ "TSSetRHSMatrix" 90 /*@C 91 TSSetRHSMatrix - Sets the function to compute the matrix A, where U_t = A(t) U. 92 Also sets the location to store A. 93 94 Collective on TS 95 96 Input Parameters: 97 + ts - the TS context obtained from TSCreate() 98 . A - matrix 99 . B - preconditioner matrix (usually same as A) 100 . f - the matrix evaluation routine; use PETSC_NULL (PETSC_NULL_FUNCTION in fortran) 101 if A is not a function of t. 102 - ctx - [optional] user-defined context for private data for the 103 matrix evaluation routine (may be PETSC_NULL) 104 105 Calling sequence of func: 106 $ func (TS ts,double t,Mat *A,Mat *B,int *flag,void *ctx); 107 108 + t - current timestep 109 . A - matrix A, where U_t = A(t) U 110 . B - preconditioner matrix, usually the same as A 111 . flag - flag indicating information about the preconditioner matrix 112 structure (same as flag in SLESSetOperators()) 113 - ctx - [optional] user-defined context for matrix evaluation routine 114 115 Notes: 116 See SLESSetOperators() for important information about setting the flag 117 output parameter in the routine func(). Be sure to read this information! 118 119 The routine func() takes Mat * as the matrix arguments rather than Mat. 120 This allows the matrix evaluation routine to replace A and/or B with a 121 completely new new matrix structure (not just different matrix elements) 122 when appropriate, for instance, if the nonzero structure is changing 123 throughout the global iterations. 124 125 Important: 126 The user MUST call either this routine or TSSetRHSFunction(). 127 128 Level: beginner 129 130 .keywords: TS, timestep, set, right-hand-side, matrix 131 132 .seealso: TSSetRHSFunction() 133 @*/ 134 int TSSetRHSMatrix(TS ts,Mat A, Mat B,int (*f)(TS,double,Mat*,Mat*,MatStructure*,void*),void *ctx) 135 { 136 PetscFunctionBegin; 137 PetscValidHeaderSpecific(ts,TS_COOKIE); 138 if (ts->problem_type == TS_NONLINEAR) { 139 SETERRQ(PETSC_ERR_ARG_WRONG,0,"Not for nonlinear problems; use TSSetRHSJacobian()"); 140 } 141 142 ts->rhsmatrix = f; 143 ts->jacP = ctx; 144 ts->A = A; 145 ts->B = B; 146 147 PetscFunctionReturn(0); 148 } 149 150 #undef __FUNC__ 151 #define __FUNC__ "TSSetRHSJacobian" 152 /*@C 153 TSSetRHSJacobian - Sets the function to compute the Jacobian of F, 154 where U_t = F(U,t), as well as the location to store the matrix. 155 156 Collective on TS 157 158 Input Parameters: 159 + ts - the TS context obtained from TSCreate() 160 . A - Jacobian matrix 161 . B - preconditioner matrix (usually same as A) 162 . f - the Jacobian evaluation routine 163 - ctx - [optional] user-defined context for private data for the 164 Jacobian evaluation routine (may be PETSC_NULL) 165 166 Calling sequence of func: 167 $ func (TS ts,double t,Vec u,Mat *A,Mat *B,int *flag,void *ctx); 168 169 + t - current timestep 170 . u - input vector 171 . A - matrix A, where U_t = A(t)u 172 . B - preconditioner matrix, usually the same as A 173 . flag - flag indicating information about the preconditioner matrix 174 structure (same as flag in SLESSetOperators()) 175 - ctx - [optional] user-defined context for matrix evaluation routine 176 177 Notes: 178 See SLESSetOperators() for important information about setting the flag 179 output parameter in the routine func(). Be sure to read this information! 180 181 The routine func() takes Mat * as the matrix arguments rather than Mat. 182 This allows the matrix evaluation routine to replace A and/or B with a 183 completely new new matrix structure (not just different matrix elements) 184 when appropriate, for instance, if the nonzero structure is changing 185 throughout the global iterations. 186 187 Level: beginner 188 189 .keywords: TS, timestep, set, right-hand-side, Jacobian 190 191 .seealso: TSDefaultComputeJacobianColor(), 192 SNESDefaultComputeJacobianColor() 193 194 @*/ 195 int TSSetRHSJacobian(TS ts,Mat A, Mat B,int (*f)(TS,double,Vec,Mat*,Mat*, 196 MatStructure*,void*),void *ctx) 197 { 198 PetscFunctionBegin; 199 PetscValidHeaderSpecific(ts,TS_COOKIE); 200 if (ts->problem_type != TS_NONLINEAR) { 201 SETERRQ(PETSC_ERR_ARG_WRONG,0,"Not for linear problems; use TSSetRHSMatrix()"); 202 } 203 204 ts->rhsjacobian = f; 205 ts->jacP = ctx; 206 ts->A = A; 207 ts->B = B; 208 PetscFunctionReturn(0); 209 } 210 211 #undef __FUNC__ 212 #define __FUNC__ "TSComputeRHSBoundaryConditions" 213 /* 214 TSComputeRHSBoundaryConditions - Evaluates the boundary condition function. 215 216 Note: If the user did not provide a function but merely a matrix, 217 this routine applies the matrix. 218 */ 219 int TSComputeRHSBoundaryConditions(TS ts,double t,Vec x) 220 { 221 int ierr; 222 223 PetscFunctionBegin; 224 PetscValidHeaderSpecific(ts,TS_COOKIE); 225 PetscValidHeader(x); 226 227 if (ts->rhsbc) { 228 PetscStackPush("TS user boundary condition function"); 229 ierr = (*ts->rhsbc)(ts,t,x,ts->bcP);CHKERRQ(ierr); 230 PetscStackPop; 231 PetscFunctionReturn(0); 232 } 233 234 PetscFunctionReturn(0); 235 } 236 237 #undef __FUNC__ 238 #define __FUNC__ "TSSetRHSBoundaryConditions" 239 /*@C 240 TSSetRHSBoundaryConditions - Sets the routine for evaluating the function, 241 boundary conditions for the function F. 242 243 Collective on TS 244 245 Input Parameters: 246 + ts - the TS context obtained from TSCreate() 247 . f - routine for evaluating the boundary condition function 248 - ctx - [optional] user-defined context for private data for the 249 function evaluation routine (may be PETSC_NULL) 250 251 Calling sequence of func: 252 $ func (TS ts,double t,Vec F,void *ctx); 253 254 + t - current timestep 255 . F - function vector 256 - ctx - [optional] user-defined function context 257 258 Level: intermediate 259 260 .keywords: TS, timestep, set, boundary conditions, function 261 @*/ 262 int TSSetRHSBoundaryConditions(TS ts,int (*f)(TS,double,Vec,void*),void *ctx) 263 { 264 PetscFunctionBegin; 265 266 PetscValidHeaderSpecific(ts,TS_COOKIE); 267 if (ts->problem_type != TS_LINEAR) { 268 SETERRQ(PETSC_ERR_ARG_WRONG,0,"For linear problems only"); 269 } 270 ts->rhsbc = f; 271 ts->bcP = ctx; 272 PetscFunctionReturn(0); 273 } 274 275 #undef __FUNC__ 276 #define __FUNC__ "TSView" 277 /*@ 278 TSView - Prints the TS data structure. 279 280 Collective on TS, unless Viewer is VIEWER_STDOUT_SELF 281 282 Input Parameters: 283 + ts - the TS context obtained from TSCreate() 284 - viewer - visualization context 285 286 Options Database Key: 287 . -ts_view - calls TSView() at end of TSStep() 288 289 Notes: 290 The available visualization contexts include 291 + VIEWER_STDOUT_SELF - standard output (default) 292 - VIEWER_STDOUT_WORLD - synchronized standard 293 output where only the first processor opens 294 the file. All other processors send their 295 data to the first processor to print. 296 297 The user can open an alternative visualization context with 298 ViewerASCIIOpen() - output to a specified file. 299 300 Level: beginner 301 302 .keywords: TS, timestep, view 303 304 .seealso: ViewerASCIIOpen() 305 @*/ 306 int TSView(TS ts,Viewer viewer) 307 { 308 int ierr; 309 char *method; 310 ViewerType vtype; 311 312 PetscFunctionBegin; 313 PetscValidHeaderSpecific(ts,TS_COOKIE); 314 ierr = ViewerGetType(viewer,&vtype);CHKERRQ(ierr); 315 if (PetscTypeCompare(vtype,ASCII_VIEWER)) { 316 ierr = ViewerASCIIPrintf(viewer,"TS Object:\n");CHKERRQ(ierr); 317 ierr = TSGetType(ts,(TSType *)&method);CHKERRQ(ierr); 318 ierr = ViewerASCIIPrintf(viewer," method: %s\n",method);CHKERRQ(ierr); 319 if (ts->view) { 320 ierr = ViewerASCIIPushTab(viewer);CHKERRQ(ierr); 321 ierr = (*ts->view)(ts,viewer);CHKERRQ(ierr); 322 ierr = ViewerASCIIPopTab(viewer);CHKERRQ(ierr); 323 } 324 ierr = ViewerASCIIPrintf(viewer," maximum steps=%d\n",ts->max_steps);CHKERRQ(ierr); 325 ierr = ViewerASCIIPrintf(viewer," maximum time=%g\n",ts->max_time);CHKERRQ(ierr); 326 if (ts->problem_type == TS_NONLINEAR) { 327 ierr = ViewerASCIIPrintf(viewer," total number of nonlinear solver iterations=%d\n",ts->nonlinear_its);CHKERRQ(ierr); 328 } 329 ierr = ViewerASCIIPrintf(viewer," total number of linear solver iterations=%d\n",ts->linear_its);CHKERRQ(ierr); 330 } else if (PetscTypeCompare(vtype,STRING_VIEWER)) { 331 ierr = TSGetType(ts,(TSType *)&method);CHKERRQ(ierr); 332 ierr = ViewerStringSPrintf(viewer," %-7.7s",method);CHKERRQ(ierr); 333 } 334 ierr = ViewerASCIIPushTab(viewer);CHKERRQ(ierr); 335 if (ts->sles) {ierr = SLESView(ts->sles,viewer);CHKERRQ(ierr);} 336 if (ts->snes) {ierr = SNESView(ts->snes,viewer);CHKERRQ(ierr);} 337 ierr = ViewerASCIIPopTab(viewer);CHKERRQ(ierr); 338 PetscFunctionReturn(0); 339 } 340 341 342 #undef __FUNC__ 343 #define __FUNC__ "TSSetApplicationContext" 344 /*@C 345 TSSetApplicationContext - Sets an optional user-defined context for 346 the timesteppers. 347 348 Collective on TS 349 350 Input Parameters: 351 + ts - the TS context obtained from TSCreate() 352 - usrP - optional user context 353 354 Level: intermediate 355 356 .keywords: TS, timestep, set, application, context 357 358 .seealso: TSGetApplicationContext() 359 @*/ 360 int TSSetApplicationContext(TS ts,void *usrP) 361 { 362 PetscFunctionBegin; 363 PetscValidHeaderSpecific(ts,TS_COOKIE); 364 ts->user = usrP; 365 PetscFunctionReturn(0); 366 } 367 368 #undef __FUNC__ 369 #define __FUNC__ "TSGetApplicationContext" 370 /*@C 371 TSGetApplicationContext - Gets the user-defined context for the 372 timestepper. 373 374 Not Collective 375 376 Input Parameter: 377 . ts - the TS context obtained from TSCreate() 378 379 Output Parameter: 380 . usrP - user context 381 382 Level: intermediate 383 384 .keywords: TS, timestep, get, application, context 385 386 .seealso: TSSetApplicationContext() 387 @*/ 388 int TSGetApplicationContext( TS ts, void **usrP ) 389 { 390 PetscFunctionBegin; 391 PetscValidHeaderSpecific(ts,TS_COOKIE); 392 *usrP = ts->user; 393 PetscFunctionReturn(0); 394 } 395 396 #undef __FUNC__ 397 #define __FUNC__ "TSGetTimeStepNumber" 398 /*@ 399 TSGetTimeStepNumber - Gets the current number of timesteps. 400 401 Not Collective 402 403 Input Parameter: 404 . ts - the TS context obtained from TSCreate() 405 406 Output Parameter: 407 . iter - number steps so far 408 409 Level: intermediate 410 411 .keywords: TS, timestep, get, iteration, number 412 @*/ 413 int TSGetTimeStepNumber(TS ts,int* iter) 414 { 415 PetscFunctionBegin; 416 PetscValidHeaderSpecific(ts,TS_COOKIE); 417 *iter = ts->steps; 418 PetscFunctionReturn(0); 419 } 420 421 #undef __FUNC__ 422 #define __FUNC__ "TSSetInitialTimeStep" 423 /*@ 424 TSSetInitialTimeStep - Sets the initial timestep to be used, 425 as well as the initial time. 426 427 Collective on TS 428 429 Input Parameters: 430 + ts - the TS context obtained from TSCreate() 431 . initial_time - the initial time 432 - time_step - the size of the timestep 433 434 Level: intermediate 435 436 .seealso: TSSetTimeStep(), TSGetTimeStep() 437 438 .keywords: TS, set, initial, timestep 439 @*/ 440 int TSSetInitialTimeStep(TS ts,double initial_time,double time_step) 441 { 442 PetscFunctionBegin; 443 PetscValidHeaderSpecific(ts,TS_COOKIE); 444 ts->time_step = time_step; 445 ts->initial_time_step = time_step; 446 ts->ptime = initial_time; 447 PetscFunctionReturn(0); 448 } 449 450 #undef __FUNC__ 451 #define __FUNC__ "TSSetTimeStep" 452 /*@ 453 TSSetTimeStep - Allows one to reset the timestep at any time, 454 useful for simple pseudo-timestepping codes. 455 456 Collective on TS 457 458 Input Parameters: 459 + ts - the TS context obtained from TSCreate() 460 - time_step - the size of the timestep 461 462 Level: intermediate 463 464 .seealso: TSSetInitialTimeStep(), TSGetTimeStep() 465 466 .keywords: TS, set, timestep 467 @*/ 468 int TSSetTimeStep(TS ts,double time_step) 469 { 470 PetscFunctionBegin; 471 PetscValidHeaderSpecific(ts,TS_COOKIE); 472 ts->time_step = time_step; 473 PetscFunctionReturn(0); 474 } 475 476 #undef __FUNC__ 477 #define __FUNC__ "TSGetTimeStep" 478 /*@ 479 TSGetTimeStep - Gets the current timestep size. 480 481 Not Collective 482 483 Input Parameter: 484 . ts - the TS context obtained from TSCreate() 485 486 Output Parameter: 487 . dt - the current timestep size 488 489 Level: intermediate 490 491 .seealso: TSSetInitialTimeStep(), TSGetTimeStep() 492 493 .keywords: TS, get, timestep 494 @*/ 495 int TSGetTimeStep(TS ts,double* dt) 496 { 497 PetscFunctionBegin; 498 PetscValidHeaderSpecific(ts,TS_COOKIE); 499 *dt = ts->time_step; 500 PetscFunctionReturn(0); 501 } 502 503 #undef __FUNC__ 504 #define __FUNC__ "TSGetSolution" 505 /*@C 506 TSGetSolution - Returns the solution at the present timestep. It 507 is valid to call this routine inside the function that you are evaluating 508 in order to move to the new timestep. This vector not changed until 509 the solution at the next timestep has been calculated. 510 511 Not Collective, but Vec returned is parallel if TS is parallel 512 513 Input Parameter: 514 . ts - the TS context obtained from TSCreate() 515 516 Output Parameter: 517 . v - the vector containing the solution 518 519 Level: intermediate 520 521 .seealso: TSGetTimeStep() 522 523 .keywords: TS, timestep, get, solution 524 @*/ 525 int TSGetSolution(TS ts,Vec *v) 526 { 527 PetscFunctionBegin; 528 PetscValidHeaderSpecific(ts,TS_COOKIE); 529 *v = ts->vec_sol_always; 530 PetscFunctionReturn(0); 531 } 532 533 #undef __FUNC__ 534 #define __FUNC__ "TSPublish_Petsc" 535 static int TSPublish_Petsc(PetscObject object) 536 { 537 #if defined(HAVE_AMS) 538 TS v = (TS) object; 539 int ierr; 540 541 PetscFunctionBegin; 542 543 /* if it is already published then return */ 544 if (v->amem >=0 ) PetscFunctionReturn(0); 545 546 ierr = PetscObjectPublishBaseBegin(object);CHKERRQ(ierr); 547 ierr = AMS_Memory_add_field((AMS_Memory)v->amem,"Step",&v->steps,1,AMS_INT,AMS_READ, 548 AMS_COMMON,AMS_REDUCT_UNDEF);CHKERRQ(ierr); 549 ierr = AMS_Memory_add_field((AMS_Memory)v->amem,"Time",&v->ptime,1,AMS_DOUBLE,AMS_READ, 550 AMS_COMMON,AMS_REDUCT_UNDEF);CHKERRQ(ierr); 551 ierr = AMS_Memory_add_field((AMS_Memory)v->amem,"CurrentTimeStep",&v->time_step,1, 552 AMS_DOUBLE,AMS_READ,AMS_COMMON,AMS_REDUCT_UNDEF);CHKERRQ(ierr); 553 ierr = PetscObjectPublishBaseEnd(object);CHKERRQ(ierr); 554 #else 555 PetscFunctionBegin; 556 #endif 557 PetscFunctionReturn(0); 558 } 559 560 /* -----------------------------------------------------------*/ 561 562 #undef __FUNC__ 563 #define __FUNC__ "TSCreate" 564 /*@C 565 TSCreate - Creates a timestepper context. 566 567 Collective on MPI_Comm 568 569 Input Parameter: 570 + comm - MPI communicator 571 - type - One of TS_LINEAR,TS_NONLINEAR 572 where these types refer to problems of the forms 573 .vb 574 U_t = A U 575 U_t = A(t) U 576 U_t = F(t,U) 577 .ve 578 579 Output Parameter: 580 . outts - the new TS context 581 582 Level: beginner 583 584 .keywords: TS, timestep, create, context 585 586 .seealso: TSSetUp(), TSStep(), TSDestroy() 587 @*/ 588 int TSCreate(MPI_Comm comm,TSProblemType problemtype,TS *outts) 589 { 590 TS ts; 591 592 PetscFunctionBegin; 593 *outts = 0; 594 PetscHeaderCreate(ts,_p_TS,int,TS_COOKIE,-1,"TS",comm,TSDestroy,TSView); 595 PLogObjectCreate(ts); 596 ts->bops->publish = TSPublish_Petsc; 597 ts->max_steps = 5000; 598 ts->max_time = 5.0; 599 ts->time_step = .1; 600 ts->initial_time_step = ts->time_step; 601 ts->steps = 0; 602 ts->ptime = 0.0; 603 ts->data = 0; 604 ts->view = 0; 605 ts->setupcalled = 0; 606 ts->problem_type = problemtype; 607 ts->numbermonitors = 0; 608 ts->linear_its = 0; 609 ts->nonlinear_its = 0; 610 611 *outts = ts; 612 PetscFunctionReturn(0); 613 } 614 615 /* ----- Routines to initialize and destroy a timestepper ---- */ 616 617 #undef __FUNC__ 618 #define __FUNC__ "TSSetUp" 619 /*@ 620 TSSetUp - Sets up the internal data structures for the later use 621 of a timestepper. 622 623 Collective on TS 624 625 Input Parameter: 626 . ts - the TS context obtained from TSCreate() 627 628 Notes: 629 For basic use of the TS solvers the user need not explicitly call 630 TSSetUp(), since these actions will automatically occur during 631 the call to TSStep(). However, if one wishes to control this 632 phase separately, TSSetUp() should be called after TSCreate() 633 and optional routines of the form TSSetXXX(), but before TSStep(). 634 635 Level: advanced 636 637 .keywords: TS, timestep, setup 638 639 .seealso: TSCreate(), TSStep(), TSDestroy() 640 @*/ 641 int TSSetUp(TS ts) 642 { 643 int ierr; 644 645 PetscFunctionBegin; 646 PetscValidHeaderSpecific(ts,TS_COOKIE); 647 if (!ts->vec_sol) SETERRQ(PETSC_ERR_ARG_WRONGSTATE,0,"Must call TSSetSolution() first"); 648 if (!ts->type_name) { 649 ierr = TSSetType(ts,TS_EULER);CHKERRQ(ierr); 650 } 651 ierr = (*ts->setup)(ts);CHKERRQ(ierr); 652 ts->setupcalled = 1; 653 PetscFunctionReturn(0); 654 } 655 656 #undef __FUNC__ 657 #define __FUNC__ "TSDestroy" 658 /*@C 659 TSDestroy - Destroys the timestepper context that was created 660 with TSCreate(). 661 662 Collective on TS 663 664 Input Parameter: 665 . ts - the TS context obtained from TSCreate() 666 667 Level: beginner 668 669 .keywords: TS, timestepper, destroy 670 671 .seealso: TSCreate(), TSSetUp(), TSSolve() 672 @*/ 673 int TSDestroy(TS ts) 674 { 675 int ierr; 676 677 PetscFunctionBegin; 678 PetscValidHeaderSpecific(ts,TS_COOKIE); 679 if (--ts->refct > 0) PetscFunctionReturn(0); 680 681 if (ts->sles) {ierr = SLESDestroy(ts->sles);CHKERRQ(ierr);} 682 if (ts->snes) {ierr = SNESDestroy(ts->snes);CHKERRQ(ierr);} 683 ierr = (*(ts)->destroy)(ts);CHKERRQ(ierr); 684 PLogObjectDestroy((PetscObject)ts); 685 PetscHeaderDestroy((PetscObject)ts); 686 PetscFunctionReturn(0); 687 } 688 689 #undef __FUNC__ 690 #define __FUNC__ "TSGetSNES" 691 /*@C 692 TSGetSNES - Returns the SNES (nonlinear solver) associated with 693 a TS (timestepper) context. Valid only for nonlinear problems. 694 695 Not Collective, but SNES is parallel if TS is parallel 696 697 Input Parameter: 698 . ts - the TS context obtained from TSCreate() 699 700 Output Parameter: 701 . snes - the nonlinear solver context 702 703 Notes: 704 The user can then directly manipulate the SNES context to set various 705 options, etc. Likewise, the user can then extract and manipulate the 706 SLES, KSP, and PC contexts as well. 707 708 TSGetSNES() does not work for integrators that do not use SNES; in 709 this case TSGetSNES() returns PETSC_NULL in snes. 710 711 Level: beginner 712 713 .keywords: timestep, get, SNES 714 @*/ 715 int TSGetSNES(TS ts,SNES *snes) 716 { 717 PetscFunctionBegin; 718 PetscValidHeaderSpecific(ts,TS_COOKIE); 719 if (ts->problem_type == TS_LINEAR) SETERRQ(PETSC_ERR_ARG_WRONG,0,"Nonlinear only; use TSGetSLES()"); 720 *snes = ts->snes; 721 PetscFunctionReturn(0); 722 } 723 724 #undef __FUNC__ 725 #define __FUNC__ "TSGetSLES" 726 /*@C 727 TSGetSLES - Returns the SLES (linear solver) associated with 728 a TS (timestepper) context. 729 730 Not Collective, but SLES is parallel if TS is parallel 731 732 Input Parameter: 733 . ts - the TS context obtained from TSCreate() 734 735 Output Parameter: 736 . sles - the nonlinear solver context 737 738 Notes: 739 The user can then directly manipulate the SLES context to set various 740 options, etc. Likewise, the user can then extract and manipulate the 741 KSP and PC contexts as well. 742 743 TSGetSLES() does not work for integrators that do not use SLES; 744 in this case TSGetSLES() returns PETSC_NULL in sles. 745 746 Level: beginner 747 748 .keywords: timestep, get, SLES 749 @*/ 750 int TSGetSLES(TS ts,SLES *sles) 751 { 752 PetscFunctionBegin; 753 PetscValidHeaderSpecific(ts,TS_COOKIE); 754 if (ts->problem_type != TS_LINEAR) SETERRQ(PETSC_ERR_ARG_WRONG,0,"Linear only; use TSGetSNES()"); 755 *sles = ts->sles; 756 PetscFunctionReturn(0); 757 } 758 759 /* ----------- Routines to set solver parameters ---------- */ 760 761 #undef __FUNC__ 762 #define __FUNC__ "TSSetDuration" 763 /*@ 764 TSSetDuration - Sets the maximum number of timesteps to use and 765 maximum time for iteration. 766 767 Collective on TS 768 769 Input Parameters: 770 + ts - the TS context obtained from TSCreate() 771 . maxsteps - maximum number of iterations to use 772 - maxtime - final time to iterate to 773 774 Options Database Keys: 775 . -ts_max_steps <maxsteps> - Sets maxsteps 776 . -ts_max_time <maxtime> - Sets maxtime 777 778 Notes: 779 The default maximum number of iterations is 5000. Default time is 5.0 780 781 Level: intermediate 782 783 .keywords: TS, timestep, set, maximum, iterations 784 @*/ 785 int TSSetDuration(TS ts,int maxsteps,double maxtime) 786 { 787 PetscFunctionBegin; 788 PetscValidHeaderSpecific(ts,TS_COOKIE); 789 ts->max_steps = maxsteps; 790 ts->max_time = maxtime; 791 PetscFunctionReturn(0); 792 } 793 794 #undef __FUNC__ 795 #define __FUNC__ "TSSetSolution" 796 /*@ 797 TSSetSolution - Sets the initial solution vector 798 for use by the TS routines. 799 800 Collective on TS and Vec 801 802 Input Parameters: 803 + ts - the TS context obtained from TSCreate() 804 - x - the solution vector 805 806 Level: beginner 807 808 .keywords: TS, timestep, set, solution, initial conditions 809 @*/ 810 int TSSetSolution(TS ts,Vec x) 811 { 812 PetscFunctionBegin; 813 PetscValidHeaderSpecific(ts,TS_COOKIE); 814 ts->vec_sol = ts->vec_sol_always = x; 815 PetscFunctionReturn(0); 816 } 817 818 /* ------------ Routines to set performance monitoring options ----------- */ 819 820 #undef __FUNC__ 821 #define __FUNC__ "TSSetMonitor" 822 /*@C 823 TSSetMonitor - Sets an ADDITIONAL function that is to be used at every 824 timestep to display the iteration's progress. 825 826 Collective on TS 827 828 Input Parameters: 829 + ts - the TS context obtained from TSCreate() 830 . func - monitoring routine 831 - mctx - [optional] user-defined context for private data for the 832 monitor routine (may be PETSC_NULL) 833 834 Calling sequence of func: 835 $ int func(TS ts,int steps,double time,Vec x,void *mctx) 836 837 + ts - the TS context 838 . steps - iteration number 839 . time - current timestep 840 . x - current iterate 841 - mctx - [optional] monitoring context 842 843 Notes: 844 This routine adds an additional monitor to the list of monitors that 845 already has been loaded. 846 847 Level: intermediate 848 849 .keywords: TS, timestep, set, monitor 850 851 .seealso: TSDefaultMonitor(), TSClearMonitor() 852 @*/ 853 int TSSetMonitor(TS ts, int (*monitor)(TS,int,double,Vec,void*), void *mctx ) 854 { 855 PetscFunctionBegin; 856 PetscValidHeaderSpecific(ts,TS_COOKIE); 857 if (ts->numbermonitors >= MAXTSMONITORS) { 858 SETERRQ(PETSC_ERR_ARG_OUTOFRANGE,0,"Too many monitors set"); 859 } 860 ts->monitor[ts->numbermonitors] = monitor; 861 ts->monitorcontext[ts->numbermonitors++] = (void*)mctx; 862 PetscFunctionReturn(0); 863 } 864 865 #undef __FUNC__ 866 #define __FUNC__ "TSClearMonitor" 867 /*@C 868 TSClearMonitor - Clears all the monitors that have been set on a time-step object. 869 870 Collective on TS 871 872 Input Parameters: 873 . ts - the TS context obtained from TSCreate() 874 875 Notes: 876 There is no way to remove a single, specific monitor. 877 878 Level: intermediate 879 880 .keywords: TS, timestep, set, monitor 881 882 .seealso: TSDefaultMonitor(), TSSetMonitor() 883 @*/ 884 int TSClearMonitor(TS ts) 885 { 886 PetscFunctionBegin; 887 PetscValidHeaderSpecific(ts,TS_COOKIE); 888 ts->numbermonitors = 0; 889 PetscFunctionReturn(0); 890 } 891 892 #undef __FUNC__ 893 #define __FUNC__ "TSDefaultMonitor" 894 int TSDefaultMonitor(TS ts, int step, double time,Vec v, void *ctx) 895 { 896 int ierr; 897 898 PetscFunctionBegin; 899 ierr = PetscPrintf(ts->comm,"timestep %d dt %g time %g\n",step,ts->time_step,time);CHKERRQ(ierr); 900 PetscFunctionReturn(0); 901 } 902 903 #undef __FUNC__ 904 #define __FUNC__ "TSStep" 905 /*@ 906 TSStep - Steps the requested number of timesteps. 907 908 Collective on TS 909 910 Input Parameter: 911 . ts - the TS context obtained from TSCreate() 912 913 Output Parameters: 914 + steps - number of iterations until termination 915 - time - time until termination 916 917 Level: beginner 918 919 .keywords: TS, timestep, solve 920 921 .seealso: TSCreate(), TSSetUp(), TSDestroy() 922 @*/ 923 int TSStep(TS ts,int *steps,double *time) 924 { 925 int ierr,flg; 926 927 PetscFunctionBegin; 928 PetscValidHeaderSpecific(ts,TS_COOKIE); 929 if (!ts->setupcalled) {ierr = TSSetUp(ts);CHKERRQ(ierr);} 930 PLogEventBegin(TS_Step,ts,0,0,0); 931 ierr = (*(ts)->step)(ts,steps,time);CHKERRQ(ierr); 932 PLogEventEnd(TS_Step,ts,0,0,0); 933 ierr = OptionsHasName(PETSC_NULL,"-ts_view",&flg);CHKERRQ(ierr); 934 if (flg) { 935 ierr = TSView(ts,VIEWER_STDOUT_WORLD);CHKERRQ(ierr); 936 } 937 PetscFunctionReturn(0); 938 } 939 940 #undef __FUNC__ 941 #define __FUNC__ "TSMonitor" 942 /* 943 Runs the user provided monitor routines, if they exists. 944 */ 945 int TSMonitor(TS ts,int step,double time,Vec x) 946 { 947 int i,ierr,n = ts->numbermonitors; 948 949 PetscFunctionBegin; 950 for ( i=0; i<n; i++ ) { 951 ierr = (*ts->monitor[i])(ts,step,time,x,ts->monitorcontext[i]);CHKERRQ(ierr); 952 } 953 PetscFunctionReturn(0); 954 } 955 956 /* ------------------------------------------------------------------------*/ 957 958 /*@C 959 TSLGMonitorCreate - Creates a line graph context for use with 960 TS to monitor convergence of preconditioned residual norms. 961 962 Collective on TS 963 964 Input Parameters: 965 + host - the X display to open, or null for the local machine 966 . label - the title to put in the title bar 967 . x, y - the screen coordinates of the upper left coordinate of 968 the window 969 - m, n - the screen width and height in pixels 970 971 Output Parameter: 972 . draw - the drawing context 973 974 Options Database Key: 975 . -ts_xmonitor - automatically sets line graph monitor 976 977 Notes: 978 Use TSLGMonitorDestroy() to destroy this line graph, not DrawLGDestroy(). 979 980 Level: intermediate 981 982 .keywords: TS, monitor, line graph, residual, create 983 984 .seealso: TSLGMonitorDestroy(), TSSetMonitor() 985 @*/ 986 int TSLGMonitorCreate(char *host,char *label,int x,int y,int m, 987 int n, DrawLG *draw) 988 { 989 Draw win; 990 int ierr; 991 992 PetscFunctionBegin; 993 ierr = DrawOpenX(PETSC_COMM_SELF,host,label,x,y,m,n,&win);CHKERRQ(ierr); 994 ierr = DrawLGCreate(win,1,draw);CHKERRQ(ierr); 995 ierr = DrawLGIndicateDataPoints(*draw);CHKERRQ(ierr); 996 997 PLogObjectParent(*draw,win); 998 PetscFunctionReturn(0); 999 } 1000 1001 #undef __FUNC__ 1002 #define __FUNC__ "TSLGMonitor" 1003 int TSLGMonitor(TS ts,int n,double time,Vec v,void *monctx) 1004 { 1005 DrawLG lg = (DrawLG) monctx; 1006 double x,y = time; 1007 int ierr; 1008 1009 PetscFunctionBegin; 1010 if (!n) {ierr = DrawLGReset(lg);CHKERRQ(ierr);} 1011 x = (double) n; 1012 ierr = DrawLGAddPoint(lg,&x,&y);CHKERRQ(ierr); 1013 if (n < 20 || (n % 5)) { 1014 ierr = DrawLGDraw(lg);CHKERRQ(ierr); 1015 } 1016 PetscFunctionReturn(0); 1017 } 1018 1019 #undef __FUNC__ 1020 #define __FUNC__ "TSLGMonitorDestroy" 1021 /*@C 1022 TSLGMonitorDestroy - Destroys a line graph context that was created 1023 with TSLGMonitorCreate(). 1024 1025 Collective on DrawLG 1026 1027 Input Parameter: 1028 . draw - the drawing context 1029 1030 Level: intermediate 1031 1032 .keywords: TS, monitor, line graph, destroy 1033 1034 .seealso: TSLGMonitorCreate(), TSSetMonitor(), TSLGMonitor(); 1035 @*/ 1036 int TSLGMonitorDestroy(DrawLG drawlg) 1037 { 1038 Draw draw; 1039 int ierr; 1040 1041 PetscFunctionBegin; 1042 ierr = DrawLGGetDraw(drawlg,&draw);CHKERRQ(ierr); 1043 ierr = DrawDestroy(draw);CHKERRQ(ierr); 1044 ierr = DrawLGDestroy(drawlg);CHKERRQ(ierr); 1045 PetscFunctionReturn(0); 1046 } 1047 1048 #undef __FUNC__ 1049 #define __FUNC__ "TSGetTime" 1050 /*@ 1051 TSGetTime - Gets the current time. 1052 1053 Not Collective 1054 1055 Input Parameter: 1056 . ts - the TS context obtained from TSCreate() 1057 1058 Output Parameter: 1059 . t - the current time 1060 1061 Contributed by: Matthew Knepley 1062 1063 Level: beginner 1064 1065 .seealso: TSSetInitialTimeStep(), TSGetTimeStep() 1066 1067 .keywords: TS, get, time 1068 @*/ 1069 int TSGetTime(TS ts, double* t) 1070 { 1071 PetscFunctionBegin; 1072 PetscValidHeaderSpecific(ts, TS_COOKIE); 1073 *t = ts->ptime; 1074 PetscFunctionReturn(0); 1075 } 1076 1077 #undef __FUNC__ 1078 #define __FUNC__ "TSGetProblemType" 1079 /*@C 1080 TSGetProblemType - Returns the problem type of a TS (timestepper) context. 1081 1082 Not Collective 1083 1084 Input Parameter: 1085 . ts - The TS context obtained from TSCreate() 1086 1087 Output Parameter: 1088 . type - The problem type, TS_LINEAR or TS_NONLINEAR 1089 1090 Level: intermediate 1091 1092 Contributed by: Matthew Knepley 1093 1094 .keywords: ts, get, type 1095 1096 @*/ 1097 int TSGetProblemType(TS ts, TSProblemType *type) 1098 { 1099 PetscFunctionBegin; 1100 PetscValidHeaderSpecific(ts, TS_COOKIE); 1101 *type = ts->problem_type; 1102 PetscFunctionReturn(0); 1103 } 1104 1105 #undef __FUNC__ 1106 #define __FUNC__ "TSSetOptionsPrefix" 1107 /*@C 1108 TSSetOptionsPrefix - Sets the prefix used for searching for all 1109 TS options in the database. 1110 1111 Collective on TS 1112 1113 Input Parameter: 1114 + ts - The TS context 1115 - prefix - The prefix to prepend to all option names 1116 1117 Notes: 1118 A hyphen (-) must NOT be given at the beginning of the prefix name. 1119 The first character of all runtime options is AUTOMATICALLY the 1120 hyphen. 1121 1122 Contributed by: Matthew Knepley 1123 1124 Level: advanced 1125 1126 .keywords: TS, set, options, prefix, database 1127 1128 .seealso: TSSetFromOptions() 1129 1130 @*/ 1131 int TSSetOptionsPrefix(TS ts, char *prefix) 1132 { 1133 int ierr; 1134 1135 PetscFunctionBegin; 1136 PetscValidHeaderSpecific(ts, TS_COOKIE); 1137 ierr = PetscObjectSetOptionsPrefix((PetscObject) ts, prefix);CHKERRQ(ierr); 1138 switch(ts->problem_type) { 1139 case TS_NONLINEAR: 1140 ierr = SNESSetOptionsPrefix(ts->snes, prefix);CHKERRQ(ierr); 1141 break; 1142 case TS_LINEAR: 1143 ierr = SLESSetOptionsPrefix(ts->sles, prefix);CHKERRQ(ierr); 1144 break; 1145 } 1146 PetscFunctionReturn(0); 1147 } 1148 1149 1150 #undef __FUNC__ 1151 #define __FUNC__ "TSAppendOptionsPrefix" 1152 /*@C 1153 TSAppendOptionsPrefix - Appends to the prefix used for searching for all 1154 TS options in the database. 1155 1156 Collective on TS 1157 1158 Input Parameter: 1159 + ts - The TS context 1160 - prefix - The prefix to prepend to all option names 1161 1162 Notes: 1163 A hyphen (-) must NOT be given at the beginning of the prefix name. 1164 The first character of all runtime options is AUTOMATICALLY the 1165 hyphen. 1166 1167 Contributed by: Matthew Knepley 1168 1169 Level: advanced 1170 1171 .keywords: TS, append, options, prefix, database 1172 1173 .seealso: TSGetOptionsPrefix() 1174 1175 @*/ 1176 int TSAppendOptionsPrefix(TS ts, char *prefix) 1177 { 1178 int ierr; 1179 1180 PetscFunctionBegin; 1181 PetscValidHeaderSpecific(ts, TS_COOKIE); 1182 ierr = PetscObjectAppendOptionsPrefix((PetscObject) ts, prefix);CHKERRQ(ierr); 1183 switch(ts->problem_type) { 1184 case TS_NONLINEAR: 1185 ierr = SNESAppendOptionsPrefix(ts->snes, prefix);CHKERRQ(ierr); 1186 break; 1187 case TS_LINEAR: 1188 ierr = SLESAppendOptionsPrefix(ts->sles, prefix);CHKERRQ(ierr); 1189 break; 1190 } 1191 PetscFunctionReturn(0); 1192 } 1193 1194 #undef __FUNC__ 1195 #define __FUNC__ "TSGetOptionsPrefix" 1196 /*@C 1197 TSGetOptionsPrefix - Sets the prefix used for searching for all 1198 TS options in the database. 1199 1200 Not Collective 1201 1202 Input Parameter: 1203 . ts - The TS context 1204 1205 Output Parameter: 1206 . prefix - A pointer to the prefix string used 1207 1208 Contributed by: Matthew Knepley 1209 1210 Notes: On the fortran side, the user should pass in a string 'prifix' of 1211 sufficient length to hold the prefix. 1212 1213 Level: intermediate 1214 1215 .keywords: TS, get, options, prefix, database 1216 1217 .seealso: TSAppendOptionsPrefix() 1218 @*/ 1219 int TSGetOptionsPrefix(TS ts, char **prefix) 1220 { 1221 int ierr; 1222 1223 PetscFunctionBegin; 1224 PetscValidHeaderSpecific(ts, TS_COOKIE); 1225 ierr = PetscObjectGetOptionsPrefix((PetscObject) ts, prefix);CHKERRQ(ierr); 1226 PetscFunctionReturn(0); 1227 } 1228 1229 #undef __FUNC__ 1230 #define __FUNC__ "TSGetRHSMatrix" 1231 /*@C 1232 TSGetRHSMatrix - Returns the matrix A at the present timestep. 1233 1234 Not Collective, but parallel objects are returned if TS is parallel 1235 1236 Input Parameter: 1237 . ts - The TS context obtained from TSCreate() 1238 1239 Output Parameters: 1240 + A - The matrix A, where U_t = A(t) U 1241 . M - The preconditioner matrix, usually the same as A 1242 - ctx - User-defined context for matrix evaluation routine 1243 1244 Notes: You can pass in PETSC_NULL for any return argument you do not need. 1245 1246 Contributed by: Matthew Knepley 1247 1248 Level: intermediate 1249 1250 .seealso: TSGetTimeStep(), TSGetTime(), TSGetTimeStepNumber(), TSGetRHSJacobian() 1251 1252 .keywords: TS, timestep, get, matrix 1253 1254 @*/ 1255 int TSGetRHSMatrix(TS ts, Mat *A, Mat *M, void **ctx) 1256 { 1257 PetscFunctionBegin; 1258 PetscValidHeaderSpecific(ts, TS_COOKIE); 1259 if (A) *A = ts->A; 1260 if (M) *M = ts->B; 1261 if (ctx) *ctx = ts->jacP; 1262 PetscFunctionReturn(0); 1263 } 1264 1265 #undef __FUNC__ 1266 #define __FUNC__ "TSGetRHSJacobian" 1267 /*@C 1268 TSGetRHSJacobian - Returns the Jacobian J at the present timestep. 1269 1270 Not Collective, but parallel objects are returned if TS is parallel 1271 1272 Input Parameter: 1273 . ts - The TS context obtained from TSCreate() 1274 1275 Output Parameters: 1276 + J - The Jacobian J of F, where U_t = F(U,t) 1277 . M - The preconditioner matrix, usually the same as J 1278 - ctx - User-defined context for Jacobian evaluation routine 1279 1280 Notes: You can pass in PETSC_NULL for any return argument you do not need. 1281 1282 Contributed by: Matthew Knepley 1283 1284 Level: intermediate 1285 1286 .seealso: TSGetTimeStep(), TSGetRHSMatrix(), TSGetTime(), TSGetTimeStepNumber() 1287 1288 .keywords: TS, timestep, get, matrix, Jacobian 1289 @*/ 1290 int TSGetRHSJacobian(TS ts, Mat *J, Mat *M, void **ctx) 1291 { 1292 int ierr; 1293 1294 PetscFunctionBegin; 1295 ierr = TSGetRHSMatrix(ts, J, M, ctx);CHKERRQ(ierr); 1296 PetscFunctionReturn(0); 1297 } 1298 1299 /*MC 1300 TSRegister - Adds a method to the timestepping solver package. 1301 1302 Synopsis: 1303 1304 TSRegister(char *name_solver,char *path,char *name_create,int (*routine_create)(TS)) 1305 1306 Not collective 1307 1308 Input Parameters: 1309 + name_solver - name of a new user-defined solver 1310 . path - path (either absolute or relative) the library containing this solver 1311 . name_create - name of routine to create method context 1312 - routine_create - routine to create method context 1313 1314 Notes: 1315 TSRegister() may be called multiple times to add several user-defined solvers. 1316 1317 If dynamic libraries are used, then the fourth input argument (routine_create) 1318 is ignored. 1319 1320 Sample usage: 1321 .vb 1322 TSRegister("my_solver",/home/username/my_lib/lib/libO/solaris/mylib.a, 1323 "MySolverCreate",MySolverCreate); 1324 .ve 1325 1326 Then, your solver can be chosen with the procedural interface via 1327 $ TSSetType(ts,"my_solver") 1328 or at runtime via the option 1329 $ -ts_type my_solver 1330 1331 Level: advanced 1332 1333 $PETSC_ARCH and $BOPT occuring in pathname will be replaced with appropriate values. 1334 1335 .keywords: TS, register 1336 1337 .seealso: TSRegisterAll(), TSRegisterDestroy() 1338 M*/ 1339 1340 #undef __FUNC__ 1341 #define __FUNC__ "TSRegister_Private" 1342 int TSRegister_Private(char *sname,char *path,char *name,int (*function)(TS)) 1343 { 1344 char fullname[256]; 1345 int ierr; 1346 1347 PetscFunctionBegin; 1348 ierr = PetscStrcpy(fullname,path);CHKERRQ(ierr); 1349 PetscStrcat(fullname,":"); PetscStrcat(fullname,name); 1350 FListAdd_Private(&TSList,sname,fullname, (int (*)(void*))function); 1351 PetscFunctionReturn(0); 1352 } 1353