static char help[] = "Serial bouncing ball example to test TS event feature.\n"; /* The dynamics of the bouncing ball is described by the ODE u1_t = u2 u2_t = -9.8 There are two events set in this example. The first one checks for the ball hitting the ground (u1 = 0). Every time the ball hits the ground, its velocity u2 is attenuated by a factor of 0.9. The second event sets a limit on the number of ball bounces. */ #include typedef struct { PetscInt maxbounces; PetscInt nbounces; } AppCtx; PetscErrorCode EventFunction(TS ts,PetscReal t,Vec U,PetscScalar *fvalue,void *ctx) { AppCtx *app=(AppCtx*)ctx; const PetscScalar *u; PetscFunctionBegin; /* Event for ball height */ PetscCall(VecGetArrayRead(U,&u)); fvalue[0] = u[0]; /* Event for number of bounces */ fvalue[1] = app->maxbounces - app->nbounces; PetscCall(VecRestoreArrayRead(U,&u)); PetscFunctionReturn(0); } PetscErrorCode PostEventFunction(TS ts,PetscInt nevents,PetscInt event_list[],PetscReal t,Vec U,PetscBool forwardsolve,void* ctx) { AppCtx *app=(AppCtx*)ctx; PetscScalar *u; PetscFunctionBegin; if (event_list[0] == 0) { PetscCall(PetscPrintf(PETSC_COMM_SELF,"Ball hit the ground at t = %5.2f seconds\n",(double)t)); /* Set new initial conditions with .9 attenuation */ PetscCall(VecGetArray(U,&u)); u[0] = 0.0; u[1] = -0.9*u[1]; PetscCall(VecRestoreArray(U,&u)); } else if (event_list[0] == 1) { PetscCall(PetscPrintf(PETSC_COMM_SELF,"Ball bounced %" PetscInt_FMT " times\n",app->nbounces)); } app->nbounces++; PetscFunctionReturn(0); } /* Defines the ODE passed to the ODE solver in explicit form: U_t = F(U) */ static PetscErrorCode RHSFunction(TS ts,PetscReal t,Vec U,Vec F,void *ctx) { PetscScalar *f; const PetscScalar *u; PetscFunctionBegin; /* The next three lines allow us to access the entries of the vectors directly */ PetscCall(VecGetArrayRead(U,&u)); PetscCall(VecGetArray(F,&f)); f[0] = u[1]; f[1] = - 9.8; PetscCall(VecRestoreArrayRead(U,&u)); PetscCall(VecRestoreArray(F,&f)); PetscFunctionReturn(0); } /* Defines the Jacobian of the ODE passed to the ODE solver. See TSSetRHSJacobian() for the meaning of the Jacobian. */ static PetscErrorCode RHSJacobian(TS ts,PetscReal t,Vec U,Mat A,Mat B,void *ctx) { PetscInt rowcol[] = {0,1}; PetscScalar J[2][2]; const PetscScalar *u; PetscFunctionBegin; PetscCall(VecGetArrayRead(U,&u)); J[0][0] = 0.0; J[0][1] = 1.0; J[1][0] = 0.0; J[1][1] = 0.0; PetscCall(MatSetValues(B,2,rowcol,2,rowcol,&J[0][0],INSERT_VALUES)); PetscCall(VecRestoreArrayRead(U,&u)); PetscCall(MatAssemblyBegin(A,MAT_FINAL_ASSEMBLY)); PetscCall(MatAssemblyEnd(A,MAT_FINAL_ASSEMBLY)); if (A != B) { PetscCall(MatAssemblyBegin(B,MAT_FINAL_ASSEMBLY)); PetscCall(MatAssemblyEnd(B,MAT_FINAL_ASSEMBLY)); } PetscFunctionReturn(0); } /* Defines the ODE passed to the ODE solver in implicit form: F(U_t,U) = 0 */ static PetscErrorCode IFunction(TS ts,PetscReal t,Vec U,Vec Udot,Vec F,void *ctx) { PetscScalar *f; const PetscScalar *u,*udot; PetscFunctionBegin; /* The next three lines allow us to access the entries of the vectors directly */ PetscCall(VecGetArrayRead(U,&u)); PetscCall(VecGetArrayRead(Udot,&udot)); PetscCall(VecGetArray(F,&f)); f[0] = udot[0] - u[1]; f[1] = udot[1] + 9.8; PetscCall(VecRestoreArrayRead(U,&u)); PetscCall(VecRestoreArrayRead(Udot,&udot)); PetscCall(VecRestoreArray(F,&f)); PetscFunctionReturn(0); } /* Defines the Jacobian of the ODE passed to the ODE solver. See TSSetIJacobian() for the meaning of a and the Jacobian. */ static PetscErrorCode IJacobian(TS ts,PetscReal t,Vec U,Vec Udot,PetscReal a,Mat A,Mat B,void *ctx) { PetscInt rowcol[] = {0,1}; PetscScalar J[2][2]; const PetscScalar *u,*udot; PetscFunctionBegin; PetscCall(VecGetArrayRead(U,&u)); PetscCall(VecGetArrayRead(Udot,&udot)); J[0][0] = a; J[0][1] = -1.0; J[1][0] = 0.0; J[1][1] = a; PetscCall(MatSetValues(B,2,rowcol,2,rowcol,&J[0][0],INSERT_VALUES)); PetscCall(VecRestoreArrayRead(U,&u)); PetscCall(VecRestoreArrayRead(Udot,&udot)); PetscCall(MatAssemblyBegin(A,MAT_FINAL_ASSEMBLY)); PetscCall(MatAssemblyEnd(A,MAT_FINAL_ASSEMBLY)); if (A != B) { PetscCall(MatAssemblyBegin(B,MAT_FINAL_ASSEMBLY)); PetscCall(MatAssemblyEnd(B,MAT_FINAL_ASSEMBLY)); } PetscFunctionReturn(0); } int main(int argc,char **argv) { TS ts; /* ODE integrator */ Vec U; /* solution will be stored here */ PetscMPIInt size; PetscInt n = 2; PetscScalar *u; AppCtx app; PetscInt direction[2]; PetscBool terminate[2]; PetscBool rhs_form=PETSC_FALSE,hist=PETSC_TRUE; TSAdapt adapt; /* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - Initialize program - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */ PetscFunctionBeginUser; PetscCall(PetscInitialize(&argc,&argv,(char*)0,help)); PetscCallMPI(MPI_Comm_size(PETSC_COMM_WORLD,&size)); PetscCheck(size == 1,PETSC_COMM_WORLD,PETSC_ERR_WRONG_MPI_SIZE,"Only for sequential runs"); app.nbounces = 0; app.maxbounces = 10; PetscOptionsBegin(PETSC_COMM_WORLD,NULL,"ex40 options",""); PetscCall(PetscOptionsInt("-maxbounces","","",app.maxbounces,&app.maxbounces,NULL)); PetscCall(PetscOptionsBool("-test_adapthistory","","",hist,&hist,NULL)); PetscOptionsEnd(); /* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - Create timestepping solver context - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */ PetscCall(TSCreate(PETSC_COMM_WORLD,&ts)); PetscCall(TSSetType(ts,TSROSW)); /* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - Set ODE routines - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */ PetscCall(TSSetProblemType(ts,TS_NONLINEAR)); /* Users are advised against the following branching and code duplication. For problems without a mass matrix like the one at hand, the RHSFunction (and companion RHSJacobian) interface is enough to support both explicit and implicit timesteppers. This tutorial example also deals with the IFunction/IJacobian interface for demonstration and testing purposes. */ PetscCall(PetscOptionsGetBool(NULL,NULL,"-rhs-form",&rhs_form,NULL)); if (rhs_form) { PetscCall(TSSetRHSFunction(ts,NULL,RHSFunction,NULL)); PetscCall(TSSetRHSJacobian(ts,NULL,NULL,RHSJacobian,NULL)); } else { Mat A; /* Jacobian matrix */ PetscCall(MatCreate(PETSC_COMM_WORLD,&A)); PetscCall(MatSetSizes(A,n,n,PETSC_DETERMINE,PETSC_DETERMINE)); PetscCall(MatSetType(A,MATDENSE)); PetscCall(MatSetFromOptions(A)); PetscCall(MatSetUp(A)); PetscCall(TSSetIFunction(ts,NULL,IFunction,NULL)); PetscCall(TSSetIJacobian(ts,A,A,IJacobian,NULL)); PetscCall(MatDestroy(&A)); } /* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - Set initial conditions - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */ PetscCall(VecCreate(PETSC_COMM_WORLD,&U)); PetscCall(VecSetSizes(U,n,PETSC_DETERMINE)); PetscCall(VecSetUp(U)); PetscCall(VecGetArray(U,&u)); u[0] = 0.0; u[1] = 20.0; PetscCall(VecRestoreArray(U,&u)); PetscCall(TSSetSolution(ts,U)); /* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - Set solver options - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */ if (hist) PetscCall(TSSetSaveTrajectory(ts)); PetscCall(TSSetMaxTime(ts,30.0)); PetscCall(TSSetExactFinalTime(ts,TS_EXACTFINALTIME_STEPOVER)); PetscCall(TSSetTimeStep(ts,0.1)); /* The adaptive time step controller could take very large timesteps resulting in the same event occurring multiple times in the same interval. A maximum step size limit is enforced here to avoid this issue. */ PetscCall(TSGetAdapt(ts,&adapt)); PetscCall(TSAdaptSetStepLimits(adapt,0.0,0.5)); /* Set directions and terminate flags for the two events */ direction[0] = -1; direction[1] = -1; terminate[0] = PETSC_FALSE; terminate[1] = PETSC_TRUE; PetscCall(TSSetEventHandler(ts,2,direction,terminate,EventFunction,PostEventFunction,(void*)&app)); PetscCall(TSSetFromOptions(ts)); /* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - Run timestepping solver - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */ PetscCall(TSSolve(ts,U)); if (hist) { /* replay following history */ TSTrajectory tj; PetscReal tf,t0,dt; app.nbounces = 0; PetscCall(TSGetTime(ts,&tf)); PetscCall(TSSetMaxTime(ts,tf)); PetscCall(TSSetStepNumber(ts,0)); PetscCall(TSRestartStep(ts)); PetscCall(TSSetExactFinalTime(ts,TS_EXACTFINALTIME_MATCHSTEP)); PetscCall(TSSetFromOptions(ts)); PetscCall(TSGetAdapt(ts,&adapt)); PetscCall(TSAdaptSetType(adapt,TSADAPTHISTORY)); PetscCall(TSGetTrajectory(ts,&tj)); PetscCall(TSAdaptHistorySetTrajectory(adapt,tj,PETSC_FALSE)); PetscCall(TSAdaptHistoryGetStep(adapt,0,&t0,&dt)); /* this example fails with single (or smaller) precision */ #if defined(PETSC_USE_REAL_SINGLE) || defined(PETSC_USE_REAL__FP16) PetscCall(TSAdaptSetType(adapt,TSADAPTBASIC)); PetscCall(TSAdaptSetStepLimits(adapt,0.0,0.5)); PetscCall(TSSetFromOptions(ts)); #endif PetscCall(TSSetTime(ts,t0)); PetscCall(TSSetTimeStep(ts,dt)); PetscCall(TSResetTrajectory(ts)); PetscCall(VecGetArray(U,&u)); u[0] = 0.0; u[1] = 20.0; PetscCall(VecRestoreArray(U,&u)); PetscCall(TSSolve(ts,U)); } /* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - Free work space. All PETSc objects should be destroyed when they are no longer needed. - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */ PetscCall(VecDestroy(&U)); PetscCall(TSDestroy(&ts)); PetscCall(PetscFinalize()); return 0; } /*TEST test: suffix: a args: -snes_stol 1e-4 -ts_trajectory_dirname ex40_a_dir output_file: output/ex40.out test: suffix: b args: -ts_type arkimex -snes_stol 1e-4 -ts_trajectory_dirname ex40_b_dir output_file: output/ex40.out test: suffix: c args: -ts_type theta -ts_adapt_type basic -ts_atol 1e-1 -snes_stol 1e-4 -ts_trajectory_dirname ex40_c_dir output_file: output/ex40.out test: suffix: d args: -ts_type alpha -ts_adapt_type basic -ts_atol 1e-1 -snes_stol 1e-4 -ts_trajectory_dirname ex40_d_dir output_file: output/ex40.out test: suffix: e args: -ts_type bdf -ts_adapt_dt_max 0.025 -ts_max_steps 1500 -ts_trajectory_dirname ex40_e_dir output_file: output/ex40.out test: suffix: f args: -rhs-form -ts_type rk -ts_rk_type 3bs -ts_trajectory_dirname ex40_f_dir output_file: output/ex40.out test: suffix: g args: -rhs-form -ts_type rk -ts_rk_type 5bs -ts_trajectory_dirname ex40_g_dir output_file: output/ex40.out test: suffix: h args: -rhs-form -ts_type rk -ts_rk_type 6vr -ts_trajectory_dirname ex40_h_dir output_file: output/ex40.out test: suffix: i args: -rhs-form -ts_type rk -ts_rk_type 7vr -ts_trajectory_dirname ex40_i_dir output_file: output/ex40.out test: suffix: j args: -rhs-form -ts_type rk -ts_rk_type 8vr -ts_trajectory_dirname ex40_j_dir output_file: output/ex40.out test: suffix: k args: -ts_type theta -ts_adapt_type dsp -ts_trajectory_dirname ex40_k_dir output_file: output/ex40.out test: suffix: l args: -rhs-form -ts_type rk -ts_rk_type 2a -ts_trajectory_dirname ex40_l_dir args: -ts_adapt_type dsp -ts_adapt_always_accept {{false true}} -ts_adapt_dt_min 0.01 output_file: output/ex40.out test: suffix: m args: -ts_type alpha -ts_adapt_type basic -ts_atol 1e-1 -snes_stol 1e-4 -test_adapthistory false args: -ts_max_time 10 -ts_exact_final_time {{STEPOVER MATCHSTEP INTERPOLATE}} test: requires: !single suffix: n args: -test_adapthistory false args: -ts_type alpha -ts_alpha_radius 1.0 -ts_view args: -ts_dt 0.25 -ts_adapt_type basic -ts_adapt_wnormtype INFINITY -ts_adapt_monitor args: -ts_max_steps 1 -ts_max_reject {{0 1 2}separate_output} -ts_error_if_step_fails false test: requires: !single suffix: o args: -rhs-form -ts_type rk -ts_rk_type 2b -ts_trajectory_dirname ex40_o_dir output_file: output/ex40.out TEST*/