xref: /petsc/src/ts/impls/implicit/theta/theta.c (revision 7c8652dd9fb051dfaf30896d504f41ba028df3ea)
1 /*
2   Code for timestepping with implicit Theta method
3 */
4 #define PETSC_DESIRE_COMPLEX
5 #include <petsc-private/tsimpl.h>                /*I   "petscts.h"   I*/
6 #include <petscsnesfas.h>
7 #include <petscdm.h>
8 
9 typedef struct {
10   Vec          X,Xdot;                   /* Storage for one stage */
11   Vec          X0;                       /* work vector to store X0 */
12   Vec          affine;                   /* Affine vector needed for residual at beginning of step */
13   PetscBool    extrapolate;
14   PetscBool    endpoint;
15   PetscReal    Theta;
16   PetscReal    stage_time;
17   TSStepStatus status;
18   char         *name;
19   PetscInt     order;
20   PetscReal    ccfl;               /* Placeholder for CFL coefficient relative to forward Euler */
21   PetscBool    adapt;  /* use time-step adaptivity ? */
22 } TS_Theta;
23 
24 #undef __FUNCT__
25 #define __FUNCT__ "TSThetaGetX0AndXdot"
26 static PetscErrorCode TSThetaGetX0AndXdot(TS ts,DM dm,Vec *X0,Vec *Xdot)
27 {
28   TS_Theta       *th = (TS_Theta*)ts->data;
29   PetscErrorCode ierr;
30 
31   PetscFunctionBegin;
32   if (X0) {
33     if (dm && dm != ts->dm) {
34       ierr = DMGetNamedGlobalVector(dm,"TSTheta_X0",X0);CHKERRQ(ierr);
35     } else *X0 = ts->vec_sol;
36   }
37   if (Xdot) {
38     if (dm && dm != ts->dm) {
39       ierr = DMGetNamedGlobalVector(dm,"TSTheta_Xdot",Xdot);CHKERRQ(ierr);
40     } else *Xdot = th->Xdot;
41   }
42   PetscFunctionReturn(0);
43 }
44 
45 
46 #undef __FUNCT__
47 #define __FUNCT__ "TSThetaRestoreX0AndXdot"
48 static PetscErrorCode TSThetaRestoreX0AndXdot(TS ts,DM dm,Vec *X0,Vec *Xdot)
49 {
50   PetscErrorCode ierr;
51 
52   PetscFunctionBegin;
53   if (X0) {
54     if (dm && dm != ts->dm) {
55       ierr = DMRestoreNamedGlobalVector(dm,"TSTheta_X0",X0);CHKERRQ(ierr);
56     }
57   }
58   if (Xdot) {
59     if (dm && dm != ts->dm) {
60       ierr = DMRestoreNamedGlobalVector(dm,"TSTheta_Xdot",Xdot);CHKERRQ(ierr);
61     }
62   }
63   PetscFunctionReturn(0);
64 }
65 
66 #undef __FUNCT__
67 #define __FUNCT__ "DMCoarsenHook_TSTheta"
68 static PetscErrorCode DMCoarsenHook_TSTheta(DM fine,DM coarse,void *ctx)
69 {
70 
71   PetscFunctionBegin;
72   PetscFunctionReturn(0);
73 }
74 
75 #undef __FUNCT__
76 #define __FUNCT__ "DMRestrictHook_TSTheta"
77 static PetscErrorCode DMRestrictHook_TSTheta(DM fine,Mat restrct,Vec rscale,Mat inject,DM coarse,void *ctx)
78 {
79   TS             ts = (TS)ctx;
80   PetscErrorCode ierr;
81   Vec            X0,Xdot,X0_c,Xdot_c;
82 
83   PetscFunctionBegin;
84   ierr = TSThetaGetX0AndXdot(ts,fine,&X0,&Xdot);CHKERRQ(ierr);
85   ierr = TSThetaGetX0AndXdot(ts,coarse,&X0_c,&Xdot_c);CHKERRQ(ierr);
86   ierr = MatRestrict(restrct,X0,X0_c);CHKERRQ(ierr);
87   ierr = MatRestrict(restrct,Xdot,Xdot_c);CHKERRQ(ierr);
88   ierr = VecPointwiseMult(X0_c,rscale,X0_c);CHKERRQ(ierr);
89   ierr = VecPointwiseMult(Xdot_c,rscale,Xdot_c);CHKERRQ(ierr);
90   ierr = TSThetaRestoreX0AndXdot(ts,fine,&X0,&Xdot);CHKERRQ(ierr);
91   ierr = TSThetaRestoreX0AndXdot(ts,coarse,&X0_c,&Xdot_c);CHKERRQ(ierr);
92   PetscFunctionReturn(0);
93 }
94 
95 #undef __FUNCT__
96 #define __FUNCT__ "DMSubDomainHook_TSTheta"
97 static PetscErrorCode DMSubDomainHook_TSTheta(DM dm,DM subdm,void *ctx)
98 {
99 
100   PetscFunctionBegin;
101   PetscFunctionReturn(0);
102 }
103 
104 #undef __FUNCT__
105 #define __FUNCT__ "DMSubDomainRestrictHook_TSTheta"
106 static PetscErrorCode DMSubDomainRestrictHook_TSTheta(DM dm,VecScatter gscat,VecScatter lscat,DM subdm,void *ctx)
107 {
108   TS             ts = (TS)ctx;
109   PetscErrorCode ierr;
110   Vec            X0,Xdot,X0_sub,Xdot_sub;
111 
112   PetscFunctionBegin;
113   ierr = TSThetaGetX0AndXdot(ts,dm,&X0,&Xdot);CHKERRQ(ierr);
114   ierr = TSThetaGetX0AndXdot(ts,subdm,&X0_sub,&Xdot_sub);CHKERRQ(ierr);
115 
116   ierr = VecScatterBegin(gscat,X0,X0_sub,INSERT_VALUES,SCATTER_FORWARD);CHKERRQ(ierr);
117   ierr = VecScatterEnd(gscat,X0,X0_sub,INSERT_VALUES,SCATTER_FORWARD);CHKERRQ(ierr);
118 
119   ierr = VecScatterBegin(gscat,Xdot,Xdot_sub,INSERT_VALUES,SCATTER_FORWARD);CHKERRQ(ierr);
120   ierr = VecScatterEnd(gscat,Xdot,Xdot_sub,INSERT_VALUES,SCATTER_FORWARD);CHKERRQ(ierr);
121 
122   ierr = TSThetaRestoreX0AndXdot(ts,dm,&X0,&Xdot);CHKERRQ(ierr);
123   ierr = TSThetaRestoreX0AndXdot(ts,subdm,&X0_sub,&Xdot_sub);CHKERRQ(ierr);
124   PetscFunctionReturn(0);
125 }
126 
127 #undef __FUNCT__
128 #define __FUNCT__ "TSEvaluateStep_Theta"
129 static PetscErrorCode TSEvaluateStep_Theta(TS ts,PetscInt order,Vec U,PetscBool *done)
130 {
131   PetscErrorCode ierr;
132   TS_Theta       *th = (TS_Theta*)ts->data;
133 
134   PetscFunctionBegin;
135   if (order == 0) SETERRQ(PetscObjectComm((PetscObject)ts),PETSC_ERR_USER,"No time-step adaptivity implemented for 1st order theta method; Run with -ts_adapt_type none");
136   if (order == th->order) {
137     if (th->endpoint) {
138       ierr = VecCopy(th->X,U);CHKERRQ(ierr);
139     } else {
140       PetscReal shift = 1./(th->Theta*ts->time_step);
141       ierr = VecAXPBYPCZ(th->Xdot,-shift,shift,0,U,th->X);CHKERRQ(ierr);
142       ierr = VecAXPY(U,ts->time_step,th->Xdot);CHKERRQ(ierr);
143     }
144   } else if (order == th->order-1 && order) {
145     ierr = VecWAXPY(U,ts->time_step,th->Xdot,th->X0);CHKERRQ(ierr);
146   }
147   PetscFunctionReturn(0);
148 }
149 
150 #undef __FUNCT__
151 #define __FUNCT__ "TSStep_Theta"
152 static PetscErrorCode TSStep_Theta(TS ts)
153 {
154   TS_Theta            *th = (TS_Theta*)ts->data;
155   PetscInt            its,lits,reject,next_scheme;
156   PetscReal           next_time_step;
157   SNESConvergedReason snesreason;
158   PetscErrorCode      ierr;
159   TSAdapt             adapt;
160   PetscBool           accept;
161 
162   PetscFunctionBegin;
163   th->status = TS_STEP_INCOMPLETE;
164   ierr = VecCopy(ts->vec_sol,th->X0);CHKERRQ(ierr);
165   for (reject=0; reject<ts->max_reject && !ts->reason && th->status != TS_STEP_COMPLETE; reject++,ts->reject++) {
166     PetscReal shift = 1./(th->Theta*ts->time_step);
167     next_time_step = ts->time_step;
168     th->stage_time = ts->ptime + (th->endpoint ? 1. : th->Theta)*ts->time_step;
169     ierr = TSPreStep(ts);CHKERRQ(ierr);
170     ierr = TSPreStage(ts,th->stage_time);CHKERRQ(ierr);
171 
172     if (th->endpoint) {           /* This formulation assumes linear time-independent mass matrix */
173       ierr = VecZeroEntries(th->Xdot);CHKERRQ(ierr);
174       if (!th->affine) {ierr = VecDuplicate(ts->vec_sol,&th->affine);CHKERRQ(ierr);}
175       ierr = TSComputeIFunction(ts,ts->ptime,ts->vec_sol,th->Xdot,th->affine,PETSC_FALSE);CHKERRQ(ierr);
176       ierr = VecScale(th->affine,(th->Theta-1.)/th->Theta);CHKERRQ(ierr);
177     }
178     if (th->extrapolate) {
179       ierr = VecWAXPY(th->X,1./shift,th->Xdot,ts->vec_sol);CHKERRQ(ierr);
180     } else {
181       ierr = VecCopy(ts->vec_sol,th->X);CHKERRQ(ierr);
182     }
183     ierr = SNESSolve(ts->snes,th->affine,th->X);CHKERRQ(ierr);
184     ierr = SNESGetIterationNumber(ts->snes,&its);CHKERRQ(ierr);
185     ierr = SNESGetLinearSolveIterations(ts->snes,&lits);CHKERRQ(ierr);
186     ierr = SNESGetConvergedReason(ts->snes,&snesreason);CHKERRQ(ierr);
187     ierr = TSPostStage(ts,th->stage_time,0,&(th->X));CHKERRQ(ierr);
188     ts->snes_its += its; ts->ksp_its += lits;
189     ierr = TSGetAdapt(ts,&adapt);CHKERRQ(ierr);
190     ierr = TSAdaptCheckStage(adapt,ts,&accept);CHKERRQ(ierr);
191     if (!accept) continue;
192     ierr = TSEvaluateStep(ts,th->order,ts->vec_sol,NULL);CHKERRQ(ierr);
193     /* Register only the current method as a candidate because we're not supporting multiple candidates yet. */
194     ierr = TSGetAdapt(ts,&adapt);CHKERRQ(ierr);
195     ierr = TSAdaptCandidatesClear(adapt);CHKERRQ(ierr);
196     ierr = TSAdaptCandidateAdd(adapt,NULL,th->order,1,th->ccfl,1.0,PETSC_TRUE);CHKERRQ(ierr);
197     ierr = TSAdaptChoose(adapt,ts,ts->time_step,&next_scheme,&next_time_step,&accept);CHKERRQ(ierr);
198 
199     if (accept) {
200       /* ignore next_scheme for now */
201       ts->ptime    += ts->time_step;
202       ts->time_step = next_time_step;
203       ts->steps++;
204       th->status = TS_STEP_COMPLETE;
205     } else {                    /* Roll back the current step */
206       ierr = VecCopy(th->X0,ts->vec_sol);CHKERRQ(ierr);
207       ts->time_step = next_time_step;
208       th->status    = TS_STEP_INCOMPLETE;
209     }
210   }
211   PetscFunctionReturn(0);
212 }
213 
214 #undef __FUNCT__
215 #define __FUNCT__ "TSInterpolate_Theta"
216 static PetscErrorCode TSInterpolate_Theta(TS ts,PetscReal t,Vec X)
217 {
218   TS_Theta       *th   = (TS_Theta*)ts->data;
219   PetscReal      alpha = t - ts->ptime;
220   PetscErrorCode ierr;
221 
222   PetscFunctionBegin;
223   ierr = VecCopy(ts->vec_sol,th->X);CHKERRQ(ierr);
224   if (th->endpoint) alpha *= th->Theta;
225   ierr = VecWAXPY(X,alpha,th->Xdot,th->X);CHKERRQ(ierr);
226   PetscFunctionReturn(0);
227 }
228 
229 /*------------------------------------------------------------*/
230 #undef __FUNCT__
231 #define __FUNCT__ "TSReset_Theta"
232 static PetscErrorCode TSReset_Theta(TS ts)
233 {
234   TS_Theta       *th = (TS_Theta*)ts->data;
235   PetscErrorCode ierr;
236 
237   PetscFunctionBegin;
238   ierr = VecDestroy(&th->X);CHKERRQ(ierr);
239   ierr = VecDestroy(&th->Xdot);CHKERRQ(ierr);
240   ierr = VecDestroy(&th->X0);CHKERRQ(ierr);
241   ierr = VecDestroy(&th->affine);CHKERRQ(ierr);
242   PetscFunctionReturn(0);
243 }
244 
245 #undef __FUNCT__
246 #define __FUNCT__ "TSDestroy_Theta"
247 static PetscErrorCode TSDestroy_Theta(TS ts)
248 {
249   PetscErrorCode ierr;
250 
251   PetscFunctionBegin;
252   ierr = TSReset_Theta(ts);CHKERRQ(ierr);
253   ierr = PetscFree(ts->data);CHKERRQ(ierr);
254   ierr = PetscObjectComposeFunction((PetscObject)ts,"TSThetaGetTheta_C",NULL);CHKERRQ(ierr);
255   ierr = PetscObjectComposeFunction((PetscObject)ts,"TSThetaSetTheta_C",NULL);CHKERRQ(ierr);
256   ierr = PetscObjectComposeFunction((PetscObject)ts,"TSThetaGetEndpoint_C",NULL);CHKERRQ(ierr);
257   ierr = PetscObjectComposeFunction((PetscObject)ts,"TSThetaSetEndpoint_C",NULL);CHKERRQ(ierr);
258   PetscFunctionReturn(0);
259 }
260 
261 /*
262   This defines the nonlinear equation that is to be solved with SNES
263   G(U) = F[t0+Theta*dt, U, (U-U0)*shift] = 0
264 */
265 #undef __FUNCT__
266 #define __FUNCT__ "SNESTSFormFunction_Theta"
267 static PetscErrorCode SNESTSFormFunction_Theta(SNES snes,Vec x,Vec y,TS ts)
268 {
269   TS_Theta       *th = (TS_Theta*)ts->data;
270   PetscErrorCode ierr;
271   Vec            X0,Xdot;
272   DM             dm,dmsave;
273   PetscReal      shift = 1./(th->Theta*ts->time_step);
274 
275   PetscFunctionBegin;
276   ierr = SNESGetDM(snes,&dm);CHKERRQ(ierr);
277   /* When using the endpoint variant, this is actually 1/Theta * Xdot */
278   ierr = TSThetaGetX0AndXdot(ts,dm,&X0,&Xdot);CHKERRQ(ierr);
279   ierr = VecAXPBYPCZ(Xdot,-shift,shift,0,X0,x);CHKERRQ(ierr);
280 
281   /* DM monkey-business allows user code to call TSGetDM() inside of functions evaluated on levels of FAS */
282   dmsave = ts->dm;
283   ts->dm = dm;
284   ierr   = TSComputeIFunction(ts,th->stage_time,x,Xdot,y,PETSC_FALSE);CHKERRQ(ierr);
285   ts->dm = dmsave;
286   ierr   = TSThetaRestoreX0AndXdot(ts,dm,&X0,&Xdot);CHKERRQ(ierr);
287   PetscFunctionReturn(0);
288 }
289 
290 #undef __FUNCT__
291 #define __FUNCT__ "SNESTSFormJacobian_Theta"
292 static PetscErrorCode SNESTSFormJacobian_Theta(SNES snes,Vec x,Mat *A,Mat *B,MatStructure *str,TS ts)
293 {
294   TS_Theta       *th = (TS_Theta*)ts->data;
295   PetscErrorCode ierr;
296   Vec            Xdot;
297   DM             dm,dmsave;
298   PetscReal      shift = 1./(th->Theta*ts->time_step);
299 
300   PetscFunctionBegin;
301   ierr = SNESGetDM(snes,&dm);CHKERRQ(ierr);
302 
303   /* th->Xdot has already been computed in SNESTSFormFunction_Theta (SNES guarantees this) */
304   ierr = TSThetaGetX0AndXdot(ts,dm,NULL,&Xdot);CHKERRQ(ierr);
305 
306   dmsave = ts->dm;
307   ts->dm = dm;
308   ierr   = TSComputeIJacobian(ts,th->stage_time,x,Xdot,shift,A,B,str,PETSC_FALSE);CHKERRQ(ierr);
309   ts->dm = dmsave;
310   ierr   = TSThetaRestoreX0AndXdot(ts,dm,NULL,&Xdot);CHKERRQ(ierr);
311   PetscFunctionReturn(0);
312 }
313 
314 #undef __FUNCT__
315 #define __FUNCT__ "TSSetUp_Theta"
316 static PetscErrorCode TSSetUp_Theta(TS ts)
317 {
318   TS_Theta       *th = (TS_Theta*)ts->data;
319   PetscErrorCode ierr;
320   SNES           snes;
321   DM             dm;
322 
323   PetscFunctionBegin;
324   ierr = VecDuplicate(ts->vec_sol,&th->X);CHKERRQ(ierr);
325   ierr = VecDuplicate(ts->vec_sol,&th->Xdot);CHKERRQ(ierr);
326   ierr = VecDuplicate(ts->vec_sol,&th->X0);CHKERRQ(ierr);
327   ierr = TSGetSNES(ts,&snes);CHKERRQ(ierr);
328   ierr = TSGetDM(ts,&dm);CHKERRQ(ierr);
329   if (dm) {
330     ierr = DMCoarsenHookAdd(dm,DMCoarsenHook_TSTheta,DMRestrictHook_TSTheta,ts);CHKERRQ(ierr);
331     ierr = DMSubDomainHookAdd(dm,DMSubDomainHook_TSTheta,DMSubDomainRestrictHook_TSTheta,ts);CHKERRQ(ierr);
332   }
333   if (th->Theta == 0.5 && th->endpoint) th->order = 2;
334   else th->order = 1;
335 
336   if (!th->adapt) {
337     TSAdapt adapt;
338     ierr = TSAdaptDestroy(&ts->adapt);CHKERRQ(ierr);
339     ierr = TSGetAdapt(ts,&adapt);CHKERRQ(ierr);
340     ierr = TSAdaptSetType(adapt,TSADAPTNONE);CHKERRQ(ierr);
341   }
342   PetscFunctionReturn(0);
343 }
344 /*------------------------------------------------------------*/
345 
346 #undef __FUNCT__
347 #define __FUNCT__ "TSSetFromOptions_Theta"
348 static PetscErrorCode TSSetFromOptions_Theta(TS ts)
349 {
350   TS_Theta       *th = (TS_Theta*)ts->data;
351   PetscErrorCode ierr;
352 
353   PetscFunctionBegin;
354   ierr = PetscOptionsHead("Theta ODE solver options");CHKERRQ(ierr);
355   {
356     ierr = PetscOptionsReal("-ts_theta_theta","Location of stage (0<Theta<=1)","TSThetaSetTheta",th->Theta,&th->Theta,NULL);CHKERRQ(ierr);
357     ierr = PetscOptionsBool("-ts_theta_extrapolate","Extrapolate stage solution from previous solution (sometimes unstable)","TSThetaSetExtrapolate",th->extrapolate,&th->extrapolate,NULL);CHKERRQ(ierr);
358     ierr = PetscOptionsBool("-ts_theta_endpoint","Use the endpoint instead of midpoint form of the Theta method","TSThetaSetEndpoint",th->endpoint,&th->endpoint,NULL);CHKERRQ(ierr);
359     ierr = PetscOptionsBool("-ts_theta_adapt","Use time-step adaptivity with the Theta method","",th->adapt,&th->adapt,NULL);CHKERRQ(ierr);
360     ierr = SNESSetFromOptions(ts->snes);CHKERRQ(ierr);
361   }
362   ierr = PetscOptionsTail();CHKERRQ(ierr);
363   PetscFunctionReturn(0);
364 }
365 
366 #undef __FUNCT__
367 #define __FUNCT__ "TSView_Theta"
368 static PetscErrorCode TSView_Theta(TS ts,PetscViewer viewer)
369 {
370   TS_Theta       *th = (TS_Theta*)ts->data;
371   PetscBool      iascii;
372   PetscErrorCode ierr;
373 
374   PetscFunctionBegin;
375   ierr = PetscObjectTypeCompare((PetscObject)viewer,PETSCVIEWERASCII,&iascii);CHKERRQ(ierr);
376   if (iascii) {
377     ierr = PetscViewerASCIIPrintf(viewer,"  Theta=%g\n",(double)th->Theta);CHKERRQ(ierr);
378     ierr = PetscViewerASCIIPrintf(viewer,"  Extrapolation=%s\n",th->extrapolate ? "yes" : "no");CHKERRQ(ierr);
379   }
380   ierr = SNESView(ts->snes,viewer);CHKERRQ(ierr);
381   PetscFunctionReturn(0);
382 }
383 
384 #undef __FUNCT__
385 #define __FUNCT__ "TSThetaGetTheta_Theta"
386 PetscErrorCode  TSThetaGetTheta_Theta(TS ts,PetscReal *theta)
387 {
388   TS_Theta *th = (TS_Theta*)ts->data;
389 
390   PetscFunctionBegin;
391   *theta = th->Theta;
392   PetscFunctionReturn(0);
393 }
394 
395 #undef __FUNCT__
396 #define __FUNCT__ "TSThetaSetTheta_Theta"
397 PetscErrorCode  TSThetaSetTheta_Theta(TS ts,PetscReal theta)
398 {
399   TS_Theta *th = (TS_Theta*)ts->data;
400 
401   PetscFunctionBegin;
402   if (theta <= 0 || 1 < theta) SETERRQ1(PetscObjectComm((PetscObject)ts),PETSC_ERR_ARG_OUTOFRANGE,"Theta %g not in range (0,1]",(double)theta);
403   th->Theta = theta;
404   PetscFunctionReturn(0);
405 }
406 
407 #undef __FUNCT__
408 #define __FUNCT__ "TSThetaGetEndpoint_Theta"
409 PetscErrorCode  TSThetaGetEndpoint_Theta(TS ts,PetscBool *endpoint)
410 {
411   TS_Theta *th = (TS_Theta*)ts->data;
412 
413   PetscFunctionBegin;
414   *endpoint = th->endpoint;
415   PetscFunctionReturn(0);
416 }
417 
418 #undef __FUNCT__
419 #define __FUNCT__ "TSThetaSetEndpoint_Theta"
420 PetscErrorCode  TSThetaSetEndpoint_Theta(TS ts,PetscBool flg)
421 {
422   TS_Theta *th = (TS_Theta*)ts->data;
423 
424   PetscFunctionBegin;
425   th->endpoint = flg;
426   PetscFunctionReturn(0);
427 }
428 
429 #if defined(PETSC_HAVE_COMPLEX)
430 #undef __FUNCT__
431 #define __FUNCT__ "TSComputeLinearStability_Theta"
432 static PetscErrorCode TSComputeLinearStability_Theta(TS ts,PetscReal xr,PetscReal xi,PetscReal *yr,PetscReal *yi)
433 {
434   PetscComplex z   = xr + xi*PETSC_i,f;
435   TS_Theta     *th = (TS_Theta*)ts->data;
436   const PetscReal one = 1.0;
437 
438   PetscFunctionBegin;
439   f   = (one + (one - th->Theta)*z)/(one - th->Theta*z);
440   *yr = PetscRealPartComplex(f);
441   *yi = PetscImaginaryPartComplex(f);
442   PetscFunctionReturn(0);
443 }
444 #endif
445 
446 
447 /* ------------------------------------------------------------ */
448 /*MC
449       TSTHETA - DAE solver using the implicit Theta method
450 
451    Level: beginner
452 
453    Options Database:
454       -ts_theta_theta <Theta> - Location of stage (0<Theta<=1)
455       -ts_theta_extrapolate <flg> Extrapolate stage solution from previous solution (sometimes unstable)
456       -ts_theta_endpoint <flag> - Use the endpoint (like Crank-Nicholson) instead of midpoint form of the Theta method
457 
458    Notes:
459 $  -ts_type theta -ts_theta_theta 1.0 corresponds to backward Euler (TSBEULER)
460 $  -ts_type theta -ts_theta_theta 0.5 corresponds to the implicit midpoint rule
461 $  -ts_type theta -ts_theta_theta 0.5 -ts_theta_endpoint corresponds to Crank-Nicholson (TSCN)
462 
463 
464 
465    This method can be applied to DAE.
466 
467    This method is cast as a 1-stage implicit Runge-Kutta method.
468 
469 .vb
470   Theta | Theta
471   -------------
472         |  1
473 .ve
474 
475    For the default Theta=0.5, this is also known as the implicit midpoint rule.
476 
477    When the endpoint variant is chosen, the method becomes a 2-stage method with first stage explicit:
478 
479 .vb
480   0 | 0         0
481   1 | 1-Theta   Theta
482   -------------------
483     | 1-Theta   Theta
484 .ve
485 
486    For the default Theta=0.5, this is the trapezoid rule (also known as Crank-Nicolson, see TSCN).
487 
488    To apply a diagonally implicit RK method to DAE, the stage formula
489 
490 $  Y_i = X + h sum_j a_ij Y'_j
491 
492    is interpreted as a formula for Y'_i in terms of Y_i and known values (Y'_j, j<i)
493 
494 .seealso:  TSCreate(), TS, TSSetType(), TSCN, TSBEULER, TSThetaSetTheta(), TSThetaSetEndpoint()
495 
496 M*/
497 #undef __FUNCT__
498 #define __FUNCT__ "TSCreate_Theta"
499 PETSC_EXTERN PetscErrorCode TSCreate_Theta(TS ts)
500 {
501   TS_Theta       *th;
502   PetscErrorCode ierr;
503 
504   PetscFunctionBegin;
505   ts->ops->reset          = TSReset_Theta;
506   ts->ops->destroy        = TSDestroy_Theta;
507   ts->ops->view           = TSView_Theta;
508   ts->ops->setup          = TSSetUp_Theta;
509   ts->ops->step           = TSStep_Theta;
510   ts->ops->interpolate    = TSInterpolate_Theta;
511   ts->ops->evaluatestep   = TSEvaluateStep_Theta;
512   ts->ops->setfromoptions = TSSetFromOptions_Theta;
513   ts->ops->snesfunction   = SNESTSFormFunction_Theta;
514   ts->ops->snesjacobian   = SNESTSFormJacobian_Theta;
515 #if defined(PETSC_HAVE_COMPLEX)
516   ts->ops->linearstability = TSComputeLinearStability_Theta;
517 #endif
518 
519   ierr = PetscNewLog(ts,&th);CHKERRQ(ierr);
520   ts->data = (void*)th;
521 
522   th->extrapolate = PETSC_FALSE;
523   th->Theta       = 0.5;
524   th->ccfl        = 1.0;
525   th->adapt       = PETSC_FALSE;
526   ierr = PetscObjectComposeFunction((PetscObject)ts,"TSThetaGetTheta_C",TSThetaGetTheta_Theta);CHKERRQ(ierr);
527   ierr = PetscObjectComposeFunction((PetscObject)ts,"TSThetaSetTheta_C",TSThetaSetTheta_Theta);CHKERRQ(ierr);
528   ierr = PetscObjectComposeFunction((PetscObject)ts,"TSThetaGetEndpoint_C",TSThetaGetEndpoint_Theta);CHKERRQ(ierr);
529   ierr = PetscObjectComposeFunction((PetscObject)ts,"TSThetaSetEndpoint_C",TSThetaSetEndpoint_Theta);CHKERRQ(ierr);
530   PetscFunctionReturn(0);
531 }
532 
533 #undef __FUNCT__
534 #define __FUNCT__ "TSThetaGetTheta"
535 /*@
536   TSThetaGetTheta - Get the abscissa of the stage in (0,1].
537 
538   Not Collective
539 
540   Input Parameter:
541 .  ts - timestepping context
542 
543   Output Parameter:
544 .  theta - stage abscissa
545 
546   Note:
547   Use of this function is normally only required to hack TSTHETA to use a modified integration scheme.
548 
549   Level: Advanced
550 
551 .seealso: TSThetaSetTheta()
552 @*/
553 PetscErrorCode  TSThetaGetTheta(TS ts,PetscReal *theta)
554 {
555   PetscErrorCode ierr;
556 
557   PetscFunctionBegin;
558   PetscValidHeaderSpecific(ts,TS_CLASSID,1);
559   PetscValidPointer(theta,2);
560   ierr = PetscUseMethod(ts,"TSThetaGetTheta_C",(TS,PetscReal*),(ts,theta));CHKERRQ(ierr);
561   PetscFunctionReturn(0);
562 }
563 
564 #undef __FUNCT__
565 #define __FUNCT__ "TSThetaSetTheta"
566 /*@
567   TSThetaSetTheta - Set the abscissa of the stage in (0,1].
568 
569   Not Collective
570 
571   Input Parameter:
572 +  ts - timestepping context
573 -  theta - stage abscissa
574 
575   Options Database:
576 .  -ts_theta_theta <theta>
577 
578   Level: Intermediate
579 
580 .seealso: TSThetaGetTheta()
581 @*/
582 PetscErrorCode  TSThetaSetTheta(TS ts,PetscReal theta)
583 {
584   PetscErrorCode ierr;
585 
586   PetscFunctionBegin;
587   PetscValidHeaderSpecific(ts,TS_CLASSID,1);
588   ierr = PetscTryMethod(ts,"TSThetaSetTheta_C",(TS,PetscReal),(ts,theta));CHKERRQ(ierr);
589   PetscFunctionReturn(0);
590 }
591 
592 #undef __FUNCT__
593 #define __FUNCT__ "TSThetaGetEndpoint"
594 /*@
595   TSThetaGetEndpoint - Gets whether to use the endpoint variant of the method (e.g. trapezoid/Crank-Nicolson instead of midpoint rule).
596 
597   Not Collective
598 
599   Input Parameter:
600 .  ts - timestepping context
601 
602   Output Parameter:
603 .  endpoint - PETSC_TRUE when using the endpoint variant
604 
605   Level: Advanced
606 
607 .seealso: TSThetaSetEndpoint(), TSTHETA, TSCN
608 @*/
609 PetscErrorCode TSThetaGetEndpoint(TS ts,PetscBool *endpoint)
610 {
611   PetscErrorCode ierr;
612 
613   PetscFunctionBegin;
614   PetscValidHeaderSpecific(ts,TS_CLASSID,1);
615   PetscValidPointer(endpoint,2);
616   ierr = PetscTryMethod(ts,"TSThetaGetEndpoint_C",(TS,PetscBool*),(ts,endpoint));CHKERRQ(ierr);
617   PetscFunctionReturn(0);
618 }
619 
620 #undef __FUNCT__
621 #define __FUNCT__ "TSThetaSetEndpoint"
622 /*@
623   TSThetaSetEndpoint - Sets whether to use the endpoint variant of the method (e.g. trapezoid/Crank-Nicolson instead of midpoint rule).
624 
625   Not Collective
626 
627   Input Parameter:
628 +  ts - timestepping context
629 -  flg - PETSC_TRUE to use the endpoint variant
630 
631   Options Database:
632 .  -ts_theta_endpoint <flg>
633 
634   Level: Intermediate
635 
636 .seealso: TSTHETA, TSCN
637 @*/
638 PetscErrorCode TSThetaSetEndpoint(TS ts,PetscBool flg)
639 {
640   PetscErrorCode ierr;
641 
642   PetscFunctionBegin;
643   PetscValidHeaderSpecific(ts,TS_CLASSID,1);
644   ierr = PetscTryMethod(ts,"TSThetaSetEndpoint_C",(TS,PetscBool),(ts,flg));CHKERRQ(ierr);
645   PetscFunctionReturn(0);
646 }
647 
648 /*
649  * TSBEULER and TSCN are straightforward specializations of TSTHETA.
650  * The creation functions for these specializations are below.
651  */
652 
653 #undef __FUNCT__
654 #define __FUNCT__ "TSView_BEuler"
655 static PetscErrorCode TSView_BEuler(TS ts,PetscViewer viewer)
656 {
657   PetscErrorCode ierr;
658 
659   PetscFunctionBegin;
660   ierr = SNESView(ts->snes,viewer);CHKERRQ(ierr);
661   PetscFunctionReturn(0);
662 }
663 
664 /*MC
665       TSBEULER - ODE solver using the implicit backward Euler method
666 
667   Level: beginner
668 
669   Notes:
670   TSBEULER is equivalent to TSTHETA with Theta=1.0
671 
672 $  -ts_type theta -ts_theta_theta 1.
673 
674 .seealso:  TSCreate(), TS, TSSetType(), TSEULER, TSCN, TSTHETA
675 
676 M*/
677 #undef __FUNCT__
678 #define __FUNCT__ "TSCreate_BEuler"
679 PETSC_EXTERN PetscErrorCode TSCreate_BEuler(TS ts)
680 {
681   PetscErrorCode ierr;
682 
683   PetscFunctionBegin;
684   ierr = TSCreate_Theta(ts);CHKERRQ(ierr);
685   ierr = TSThetaSetTheta(ts,1.0);CHKERRQ(ierr);
686   ts->ops->view = TSView_BEuler;
687   PetscFunctionReturn(0);
688 }
689 
690 #undef __FUNCT__
691 #define __FUNCT__ "TSView_CN"
692 static PetscErrorCode TSView_CN(TS ts,PetscViewer viewer)
693 {
694   PetscErrorCode ierr;
695 
696   PetscFunctionBegin;
697   ierr = SNESView(ts->snes,viewer);CHKERRQ(ierr);
698   PetscFunctionReturn(0);
699 }
700 
701 /*MC
702       TSCN - ODE solver using the implicit Crank-Nicolson method.
703 
704   Level: beginner
705 
706   Notes:
707   TSCN is equivalent to TSTHETA with Theta=0.5 and the "endpoint" option set. I.e.
708 
709 $  -ts_type theta -ts_theta_theta 0.5 -ts_theta_endpoint
710 
711 .seealso:  TSCreate(), TS, TSSetType(), TSBEULER, TSTHETA
712 
713 M*/
714 #undef __FUNCT__
715 #define __FUNCT__ "TSCreate_CN"
716 PETSC_EXTERN PetscErrorCode TSCreate_CN(TS ts)
717 {
718   PetscErrorCode ierr;
719 
720   PetscFunctionBegin;
721   ierr = TSCreate_Theta(ts);CHKERRQ(ierr);
722   ierr = TSThetaSetTheta(ts,0.5);CHKERRQ(ierr);
723   ierr = TSThetaSetEndpoint(ts,PETSC_TRUE);CHKERRQ(ierr);
724   ts->ops->view = TSView_CN;
725   PetscFunctionReturn(0);
726 }
727