/* Code for timestepping with implicit Theta method */ #include /*I "petscts.h" I*/ typedef struct { Vec X,Xdot; /* Storage for one stage */ Vec affine; /* Affine vector needed for residual at beginning of step */ PetscBool extrapolate; PetscBool endpoint; PetscReal Theta; PetscReal shift; PetscReal stage_time; } TS_Theta; #undef __FUNCT__ #define __FUNCT__ "TSStep_Theta" static PetscErrorCode TSStep_Theta(TS ts) { TS_Theta *th = (TS_Theta*)ts->data; PetscInt its,lits; PetscReal next_time_step; PetscErrorCode ierr; PetscFunctionBegin; next_time_step = ts->time_step; th->stage_time = ts->ptime + (th->endpoint ? 1. : th->Theta)*ts->time_step; th->shift = 1./(th->Theta*ts->time_step); if (th->endpoint) { /* This formulation assumes linear time-independent mass matrix */ ierr = VecZeroEntries(th->Xdot);CHKERRQ(ierr); if (!th->affine) {ierr = VecDuplicate(ts->vec_sol,&th->affine);CHKERRQ(ierr);} ierr = TSComputeIFunction(ts,ts->ptime,ts->vec_sol,th->Xdot,th->affine,PETSC_FALSE);CHKERRQ(ierr); ierr = VecScale(th->affine,(th->Theta-1.)/th->Theta);CHKERRQ(ierr); } if (th->extrapolate) { ierr = VecWAXPY(th->X,1./th->shift,th->Xdot,ts->vec_sol);CHKERRQ(ierr); } else { ierr = VecCopy(ts->vec_sol,th->X);CHKERRQ(ierr); } ierr = SNESSolve(ts->snes,th->affine,th->X);CHKERRQ(ierr); ierr = SNESGetIterationNumber(ts->snes,&its);CHKERRQ(ierr); ierr = SNESGetLinearSolveIterations(ts->snes,&lits);CHKERRQ(ierr); ts->nonlinear_its += its; ts->linear_its += lits; if (th->endpoint) { ierr = VecCopy(th->X,ts->vec_sol);CHKERRQ(ierr); } else { ierr = VecAXPBYPCZ(th->Xdot,-th->shift,th->shift,0,ts->vec_sol,th->X);CHKERRQ(ierr); ierr = VecAXPY(ts->vec_sol,ts->time_step,th->Xdot);CHKERRQ(ierr); } ts->ptime += ts->time_step; ts->time_step = next_time_step; ts->steps++; PetscFunctionReturn(0); } #undef __FUNCT__ #define __FUNCT__ "TSInterpolate_Theta" static PetscErrorCode TSInterpolate_Theta(TS ts,PetscReal t,Vec X) { TS_Theta *th = (TS_Theta*)ts->data; PetscReal alpha = t - ts->ptime; PetscErrorCode ierr; PetscFunctionBegin; ierr = VecCopy(ts->vec_sol,th->X);CHKERRQ(ierr); if (th->endpoint) alpha *= th->Theta; ierr = VecWAXPY(X,alpha,th->Xdot,th->X);CHKERRQ(ierr); PetscFunctionReturn(0); } /*------------------------------------------------------------*/ #undef __FUNCT__ #define __FUNCT__ "TSReset_Theta" static PetscErrorCode TSReset_Theta(TS ts) { TS_Theta *th = (TS_Theta*)ts->data; PetscErrorCode ierr; PetscFunctionBegin; ierr = VecDestroy(&th->X);CHKERRQ(ierr); ierr = VecDestroy(&th->Xdot);CHKERRQ(ierr); ierr = VecDestroy(&th->affine);CHKERRQ(ierr); PetscFunctionReturn(0); } #undef __FUNCT__ #define __FUNCT__ "TSDestroy_Theta" static PetscErrorCode TSDestroy_Theta(TS ts) { PetscErrorCode ierr; PetscFunctionBegin; ierr = TSReset_Theta(ts);CHKERRQ(ierr); ierr = PetscFree(ts->data);CHKERRQ(ierr); ierr = PetscObjectComposeFunctionDynamic((PetscObject)ts,"TSThetaGetTheta_C","",PETSC_NULL);CHKERRQ(ierr); ierr = PetscObjectComposeFunctionDynamic((PetscObject)ts,"TSThetaSetTheta_C","",PETSC_NULL);CHKERRQ(ierr); ierr = PetscObjectComposeFunctionDynamic((PetscObject)ts,"TSThetaGetEndpoint_C","",PETSC_NULL);CHKERRQ(ierr); ierr = PetscObjectComposeFunctionDynamic((PetscObject)ts,"TSThetaSetEndpoint_C","",PETSC_NULL);CHKERRQ(ierr); PetscFunctionReturn(0); } /* This defines the nonlinear equation that is to be solved with SNES G(U) = F[t0+Theta*dt, U, (U-U0)*shift] = 0 */ #undef __FUNCT__ #define __FUNCT__ "SNESTSFormFunction_Theta" static PetscErrorCode SNESTSFormFunction_Theta(SNES snes,Vec x,Vec y,TS ts) { TS_Theta *th = (TS_Theta*)ts->data; PetscErrorCode ierr; PetscFunctionBegin; /* When using the endpoint variant, this is actually 1/Theta * Xdot */ ierr = VecAXPBYPCZ(th->Xdot,-th->shift,th->shift,0,ts->vec_sol,x);CHKERRQ(ierr); ierr = TSComputeIFunction(ts,th->stage_time,x,th->Xdot,y,PETSC_FALSE);CHKERRQ(ierr); PetscFunctionReturn(0); } #undef __FUNCT__ #define __FUNCT__ "SNESTSFormJacobian_Theta" static PetscErrorCode SNESTSFormJacobian_Theta(SNES snes,Vec x,Mat *A,Mat *B,MatStructure *str,TS ts) { TS_Theta *th = (TS_Theta*)ts->data; PetscErrorCode ierr; PetscFunctionBegin; /* th->Xdot has already been computed in SNESTSFormFunction_Theta (SNES guarantees this) */ ierr = TSComputeIJacobian(ts,th->stage_time,x,th->Xdot,th->shift,A,B,str,PETSC_FALSE);CHKERRQ(ierr); PetscFunctionReturn(0); } #undef __FUNCT__ #define __FUNCT__ "TSSetUp_Theta" static PetscErrorCode TSSetUp_Theta(TS ts) { TS_Theta *th = (TS_Theta*)ts->data; PetscErrorCode ierr; PetscFunctionBegin; ierr = VecDuplicate(ts->vec_sol,&th->X);CHKERRQ(ierr); ierr = VecDuplicate(ts->vec_sol,&th->Xdot);CHKERRQ(ierr); PetscFunctionReturn(0); } /*------------------------------------------------------------*/ #undef __FUNCT__ #define __FUNCT__ "TSSetFromOptions_Theta" static PetscErrorCode TSSetFromOptions_Theta(TS ts) { TS_Theta *th = (TS_Theta*)ts->data; PetscErrorCode ierr; PetscFunctionBegin; ierr = PetscOptionsHead("Theta ODE solver options");CHKERRQ(ierr); { ierr = PetscOptionsReal("-ts_theta_theta","Location of stage (0Theta,&th->Theta,PETSC_NULL);CHKERRQ(ierr); ierr = PetscOptionsBool("-ts_theta_extrapolate","Extrapolate stage solution from previous solution (sometimes unstable)","TSThetaSetExtrapolate",th->extrapolate,&th->extrapolate,PETSC_NULL);CHKERRQ(ierr); ierr = PetscOptionsBool("-ts_theta_endpoint","Use the endpoint instead of midpoint form of the Theta method","TSThetaSetEndpoint",th->endpoint,&th->endpoint,PETSC_NULL);CHKERRQ(ierr); ierr = SNESSetFromOptions(ts->snes);CHKERRQ(ierr); } ierr = PetscOptionsTail();CHKERRQ(ierr); PetscFunctionReturn(0); } #undef __FUNCT__ #define __FUNCT__ "TSView_Theta" static PetscErrorCode TSView_Theta(TS ts,PetscViewer viewer) { TS_Theta *th = (TS_Theta*)ts->data; PetscBool iascii; PetscErrorCode ierr; PetscFunctionBegin; ierr = PetscTypeCompare((PetscObject)viewer,PETSCVIEWERASCII,&iascii);CHKERRQ(ierr); if (iascii) { ierr = PetscViewerASCIIPrintf(viewer," Theta=%G\n",th->Theta);CHKERRQ(ierr); ierr = PetscViewerASCIIPrintf(viewer," Extrapolation=%s\n",th->extrapolate?"yes":"no");CHKERRQ(ierr); } ierr = SNESView(ts->snes,viewer);CHKERRQ(ierr); PetscFunctionReturn(0); } EXTERN_C_BEGIN #undef __FUNCT__ #define __FUNCT__ "TSThetaGetTheta_Theta" PetscErrorCode TSThetaGetTheta_Theta(TS ts,PetscReal *theta) { TS_Theta *th = (TS_Theta*)ts->data; PetscFunctionBegin; *theta = th->Theta; PetscFunctionReturn(0); } #undef __FUNCT__ #define __FUNCT__ "TSThetaSetTheta_Theta" PetscErrorCode TSThetaSetTheta_Theta(TS ts,PetscReal theta) { TS_Theta *th = (TS_Theta*)ts->data; PetscFunctionBegin; if (theta <= 0 || 1 < theta) SETERRQ1(((PetscObject)ts)->comm,PETSC_ERR_ARG_OUTOFRANGE,"Theta %G not in range (0,1]",theta); th->Theta = theta; PetscFunctionReturn(0); } #undef __FUNCT__ #define __FUNCT__ "TSThetaSetEndpoint_Theta" PetscErrorCode TSThetaGetEndpoint_Theta(TS ts,PetscBool *endpoint) { TS_Theta *th = (TS_Theta*)ts->data; PetscFunctionBegin; *endpoint = th->endpoint; PetscFunctionReturn(0); } #undef __FUNCT__ #define __FUNCT__ "TSThetaSetEndpoint_Theta" PetscErrorCode TSThetaSetEndpoint_Theta(TS ts,PetscBool flg) { TS_Theta *th = (TS_Theta*)ts->data; PetscFunctionBegin; th->endpoint = flg; PetscFunctionReturn(0); } EXTERN_C_END /* ------------------------------------------------------------ */ /*MC TSTHETA - DAE solver using the implicit Theta method Level: beginner Notes: This method can be applied to DAE. This method is cast as a 1-stage implicit Runge-Kutta method. .vb Theta | Theta ------------- | 1 .ve For the default Theta=0.5, this is also known as the implicit midpoint rule. When the endpoint variant is chosen, the method becomes a 2-stage method with first stage explicit: .vb 0 | 0 0 1 | 1-Theta Theta ------------------- | 1-Theta Theta .ve For the default Theta=0.5, this is the trapezoid rule (also known as Crank-Nicolson, see TSCN). To apply a diagonally implicit RK method to DAE, the stage formula $ Y_i = X + h sum_j a_ij Y'_j is interpreted as a formula for Y'_i in terms of Y_i and known stuff (Y'_j, jops->reset = TSReset_Theta; ts->ops->destroy = TSDestroy_Theta; ts->ops->view = TSView_Theta; ts->ops->setup = TSSetUp_Theta; ts->ops->step = TSStep_Theta; ts->ops->interpolate = TSInterpolate_Theta; ts->ops->setfromoptions = TSSetFromOptions_Theta; ts->ops->snesfunction = SNESTSFormFunction_Theta; ts->ops->snesjacobian = SNESTSFormJacobian_Theta; ierr = PetscNewLog(ts,TS_Theta,&th);CHKERRQ(ierr); ts->data = (void*)th; th->extrapolate = PETSC_FALSE; th->Theta = 0.5; ierr = PetscObjectComposeFunctionDynamic((PetscObject)ts,"TSThetaGetTheta_C","TSThetaGetTheta_Theta",TSThetaGetTheta_Theta);CHKERRQ(ierr); ierr = PetscObjectComposeFunctionDynamic((PetscObject)ts,"TSThetaSetTheta_C","TSThetaSetTheta_Theta",TSThetaSetTheta_Theta);CHKERRQ(ierr); ierr = PetscObjectComposeFunctionDynamic((PetscObject)ts,"TSThetaGetEndpoint_C","TSThetaGetEndpoint_Theta",TSThetaGetEndpoint_Theta);CHKERRQ(ierr); ierr = PetscObjectComposeFunctionDynamic((PetscObject)ts,"TSThetaSetEndpoint_C","TSThetaSetEndpoint_Theta",TSThetaSetEndpoint_Theta);CHKERRQ(ierr); PetscFunctionReturn(0); } EXTERN_C_END #undef __FUNCT__ #define __FUNCT__ "TSThetaGetTheta" /*@ TSThetaGetTheta - Get the abscissa of the stage in (0,1]. Not Collective Input Parameter: . ts - timestepping context Output Parameter: . theta - stage abscissa Note: Use of this function is normally only required to hack TSTHETA to use a modified integration scheme. Level: Advanced .seealso: TSThetaSetTheta() @*/ PetscErrorCode TSThetaGetTheta(TS ts,PetscReal *theta) { PetscErrorCode ierr; PetscFunctionBegin; PetscValidHeaderSpecific(ts,TS_CLASSID,1); PetscValidPointer(theta,2); ierr = PetscUseMethod(ts,"TSThetaGetTheta_C",(TS,PetscReal*),(ts,theta));CHKERRQ(ierr); PetscFunctionReturn(0); } #undef __FUNCT__ #define __FUNCT__ "TSThetaSetTheta" /*@ TSThetaSetTheta - Set the abscissa of the stage in (0,1]. Not Collective Input Parameter: + ts - timestepping context - theta - stage abscissa Options Database: . -ts_theta_theta Level: Intermediate .seealso: TSThetaGetTheta() @*/ PetscErrorCode TSThetaSetTheta(TS ts,PetscReal theta) { PetscErrorCode ierr; PetscFunctionBegin; PetscValidHeaderSpecific(ts,TS_CLASSID,1); ierr = PetscTryMethod(ts,"TSThetaSetTheta_C",(TS,PetscReal),(ts,theta));CHKERRQ(ierr); PetscFunctionReturn(0); } #undef __FUNCT__ #define __FUNCT__ "TSThetaGetEndpoint" /*@ TSThetaGetEndpoint - Gets whether to use the endpoint variant of the method (e.g. trapezoid/Crank-Nicolson instead of midpoint rule). Not Collective Input Parameter: . ts - timestepping context Output Parameter: . endpoint - PETSC_TRUE when using the endpoint variant Level: Advanced .seealso: TSThetaSetEndpoint(), TSTHETA, TSCN @*/ PetscErrorCode TSThetaGetEndpoint(TS ts,PetscBool *endpoint) { PetscErrorCode ierr; PetscFunctionBegin; PetscValidHeaderSpecific(ts,TS_CLASSID,1); PetscValidPointer(endpoint,2); ierr = PetscTryMethod(ts,"TSThetaGetEndpoint_C",(TS,PetscBool*),(ts,endpoint));CHKERRQ(ierr); PetscFunctionReturn(0); } #undef __FUNCT__ #define __FUNCT__ "TSThetaSetEndpoint" /*@ TSThetaSetEndpoint - Sets whether to use the endpoint variant of the method (e.g. trapezoid/Crank-Nicolson instead of midpoint rule). Not Collective Input Parameter: + ts - timestepping context - flg - PETSC_TRUE to use the endpoint variant Options Database: . -ts_theta_endpoint Level: Intermediate .seealso: TSTHETA, TSCN @*/ PetscErrorCode TSThetaSetEndpoint(TS ts,PetscBool flg) { PetscErrorCode ierr; PetscFunctionBegin; PetscValidHeaderSpecific(ts,TS_CLASSID,1); ierr = PetscTryMethod(ts,"TSThetaSetEndpoint_C",(TS,PetscBool),(ts,flg));CHKERRQ(ierr); PetscFunctionReturn(0); } /* * TSBEULER and TSCN are straightforward specializations of TSTHETA. * The creation functions for these specializations are below. */ #undef __FUNCT__ #define __FUNCT__ "TSView_BEuler" static PetscErrorCode TSView_BEuler(TS ts,PetscViewer viewer) { PetscErrorCode ierr; PetscFunctionBegin; ierr = SNESView(ts->snes,viewer);CHKERRQ(ierr); PetscFunctionReturn(0); } /*MC TSBEULER - ODE solver using the implicit backward Euler method Level: beginner .seealso: TSCreate(), TS, TSSetType(), TSEULER, TSCN, TSTHETA M*/ EXTERN_C_BEGIN #undef __FUNCT__ #define __FUNCT__ "TSCreate_BEuler" PetscErrorCode TSCreate_BEuler(TS ts) { PetscErrorCode ierr; PetscFunctionBegin; ierr = TSCreate_Theta(ts);CHKERRQ(ierr); ierr = TSThetaSetTheta(ts,1.0);CHKERRQ(ierr); ts->ops->view = TSView_BEuler; PetscFunctionReturn(0); } EXTERN_C_END #undef __FUNCT__ #define __FUNCT__ "TSView_CN" static PetscErrorCode TSView_CN(TS ts,PetscViewer viewer) { PetscErrorCode ierr; PetscFunctionBegin; ierr = SNESView(ts->snes,viewer);CHKERRQ(ierr); PetscFunctionReturn(0); } /*MC TSCN - ODE solver using the implicit Crank-Nicolson method. Level: beginner Notes: TSCN is equivalent to TSTHETA with Theta=0.5 and the "endpoint" option set. I.e. $ -ts_type theta -ts_theta_theta 0.5 -ts_theta_endpoint .seealso: TSCreate(), TS, TSSetType(), TSBEULER, TSTHETA M*/ EXTERN_C_BEGIN #undef __FUNCT__ #define __FUNCT__ "TSCreate_CN" PetscErrorCode TSCreate_CN(TS ts) { PetscErrorCode ierr; PetscFunctionBegin; ierr = TSCreate_Theta(ts);CHKERRQ(ierr); ierr = TSThetaSetTheta(ts,0.5);CHKERRQ(ierr); ierr = TSThetaSetEndpoint(ts,PETSC_TRUE);CHKERRQ(ierr); ts->ops->view = TSView_CN; PetscFunctionReturn(0); } EXTERN_C_END