xref: /petsc/src/ts/tutorials/ex20.c (revision 10b8587ebdb8e77b0deee4d1f073a6c428f9370c)
1c4762a1bSJed Brown 
2c4762a1bSJed Brown static char help[] = "Solves the van der Pol equation.\n\
3c4762a1bSJed Brown Input parameters include:\n";
4c4762a1bSJed Brown 
5c4762a1bSJed Brown /*
6c4762a1bSJed Brown    Concepts: TS^time-dependent nonlinear problems
7c4762a1bSJed Brown    Concepts: TS^van der Pol equation DAE equivalent
8c4762a1bSJed Brown    Processors: 1
9c4762a1bSJed Brown */
10c4762a1bSJed Brown /* ------------------------------------------------------------------------
11c4762a1bSJed Brown 
12c4762a1bSJed Brown    This program solves the van der Pol DAE ODE equivalent
13c4762a1bSJed Brown        y' = z                 (1)
14c4762a1bSJed Brown        z' = \mu ((1-y^2)z-y)
15c4762a1bSJed Brown    on the domain 0 <= x <= 1, with the boundary conditions
16c4762a1bSJed Brown        y(0) = 2, y'(0) = - 2/3 +10/(81*\mu) - 292/(2187*\mu^2),
17c4762a1bSJed Brown    and
18c4762a1bSJed Brown        \mu = 10^6 ( y'(0) ~ -0.6666665432100101).
19c4762a1bSJed Brown    This is a nonlinear equation. The well prepared initial condition gives errors that are not dominated by the first few steps of the method when \mu is large.
20c4762a1bSJed Brown 
21c4762a1bSJed Brown    Notes:
22c4762a1bSJed Brown    This code demonstrates the TS solver interface to an ODE -- RHSFunction for explicit form and IFunction for implicit form.
23c4762a1bSJed Brown 
24c4762a1bSJed Brown   ------------------------------------------------------------------------- */
25c4762a1bSJed Brown 
26c4762a1bSJed Brown #include <petscts.h>
27c4762a1bSJed Brown 
28c4762a1bSJed Brown typedef struct _n_User *User;
29c4762a1bSJed Brown struct _n_User {
30c4762a1bSJed Brown   PetscReal mu;
31c4762a1bSJed Brown   PetscReal next_output;
32c4762a1bSJed Brown };
33c4762a1bSJed Brown 
34c4762a1bSJed Brown /*
35c4762a1bSJed Brown *  User-defined routines
36c4762a1bSJed Brown */
37c4762a1bSJed Brown static PetscErrorCode RHSFunction(TS ts,PetscReal t,Vec X,Vec F,void *ctx)
38c4762a1bSJed Brown {
39c4762a1bSJed Brown   PetscErrorCode    ierr;
40c4762a1bSJed Brown   User              user = (User)ctx;
41c4762a1bSJed Brown   PetscScalar       *f;
42c4762a1bSJed Brown   const PetscScalar *x;
43c4762a1bSJed Brown 
44c4762a1bSJed Brown   PetscFunctionBeginUser;
45c4762a1bSJed Brown   ierr = VecGetArrayRead(X,&x);CHKERRQ(ierr);
46c4762a1bSJed Brown   ierr = VecGetArray(F,&f);CHKERRQ(ierr);
47c4762a1bSJed Brown   f[0] = x[1];
48c4762a1bSJed Brown   f[1] = user->mu*(1.-x[0]*x[0])*x[1]-x[0];
49c4762a1bSJed Brown   ierr = VecRestoreArrayRead(X,&x);CHKERRQ(ierr);
50c4762a1bSJed Brown   ierr = VecRestoreArray(F,&f);CHKERRQ(ierr);
51c4762a1bSJed Brown   PetscFunctionReturn(0);
52c4762a1bSJed Brown }
53c4762a1bSJed Brown 
54c4762a1bSJed Brown 
55c4762a1bSJed Brown static PetscErrorCode IFunction(TS ts,PetscReal t,Vec X,Vec Xdot,Vec F,void *ctx)
56c4762a1bSJed Brown {
57c4762a1bSJed Brown   PetscErrorCode    ierr;
58c4762a1bSJed Brown   User              user = (User)ctx;
59c4762a1bSJed Brown   const PetscScalar *x,*xdot;
60c4762a1bSJed Brown   PetscScalar       *f;
61c4762a1bSJed Brown 
62c4762a1bSJed Brown   PetscFunctionBeginUser;
63c4762a1bSJed Brown   ierr = VecGetArrayRead(X,&x);CHKERRQ(ierr);
64c4762a1bSJed Brown   ierr = VecGetArrayRead(Xdot,&xdot);CHKERRQ(ierr);
65c4762a1bSJed Brown   ierr = VecGetArray(F,&f);CHKERRQ(ierr);
66c4762a1bSJed Brown   f[0] = xdot[0] - x[1];
67c4762a1bSJed Brown   f[1] = xdot[1] - user->mu*((1.0-x[0]*x[0])*x[1] - x[0]);
68c4762a1bSJed Brown   ierr = VecRestoreArrayRead(X,&x);CHKERRQ(ierr);
69c4762a1bSJed Brown   ierr = VecRestoreArrayRead(Xdot,&xdot);CHKERRQ(ierr);
70c4762a1bSJed Brown   ierr = VecRestoreArray(F,&f);CHKERRQ(ierr);
71c4762a1bSJed Brown   PetscFunctionReturn(0);
72c4762a1bSJed Brown }
73c4762a1bSJed Brown 
74c4762a1bSJed Brown static PetscErrorCode IJacobian(TS ts,PetscReal t,Vec X,Vec Xdot,PetscReal a,Mat A,Mat B,void *ctx)
75c4762a1bSJed Brown {
76c4762a1bSJed Brown   PetscErrorCode    ierr;
77c4762a1bSJed Brown   User              user     = (User)ctx;
78c4762a1bSJed Brown   PetscInt          rowcol[] = {0,1};
79c4762a1bSJed Brown   const PetscScalar *x;
80c4762a1bSJed Brown   PetscScalar       J[2][2];
81c4762a1bSJed Brown 
82c4762a1bSJed Brown   PetscFunctionBeginUser;
83c4762a1bSJed Brown   ierr    = VecGetArrayRead(X,&x);CHKERRQ(ierr);
84c4762a1bSJed Brown   J[0][0] = a;     J[0][1] = -1.0;
85c4762a1bSJed Brown   J[1][0] = user->mu*(2.0*x[0]*x[1] + 1.0);   J[1][1] = a - user->mu*(1.0-x[0]*x[0]);
86c4762a1bSJed Brown   ierr    = MatSetValues(B,2,rowcol,2,rowcol,&J[0][0],INSERT_VALUES);CHKERRQ(ierr);
87c4762a1bSJed Brown   ierr    = VecRestoreArrayRead(X,&x);CHKERRQ(ierr);
88c4762a1bSJed Brown 
89c4762a1bSJed Brown   ierr = MatAssemblyBegin(A,MAT_FINAL_ASSEMBLY);CHKERRQ(ierr);
90c4762a1bSJed Brown   ierr = MatAssemblyEnd(A,MAT_FINAL_ASSEMBLY);CHKERRQ(ierr);
91c4762a1bSJed Brown   if (A != B) {
92c4762a1bSJed Brown     ierr = MatAssemblyBegin(B,MAT_FINAL_ASSEMBLY);CHKERRQ(ierr);
93c4762a1bSJed Brown     ierr = MatAssemblyEnd(B,MAT_FINAL_ASSEMBLY);CHKERRQ(ierr);
94c4762a1bSJed Brown   }
95c4762a1bSJed Brown   PetscFunctionReturn(0);
96c4762a1bSJed Brown }
97c4762a1bSJed Brown 
98c4762a1bSJed Brown /* Monitor timesteps and use interpolation to output at integer multiples of 0.1 */
99c4762a1bSJed Brown static PetscErrorCode Monitor(TS ts,PetscInt step,PetscReal t,Vec X,void *ctx)
100c4762a1bSJed Brown {
101c4762a1bSJed Brown   PetscErrorCode    ierr;
102c4762a1bSJed Brown   const PetscScalar *x;
103c4762a1bSJed Brown   PetscReal         tfinal, dt;
104c4762a1bSJed Brown   User              user = (User)ctx;
105c4762a1bSJed Brown   Vec               interpolatedX;
106c4762a1bSJed Brown 
107c4762a1bSJed Brown   PetscFunctionBeginUser;
108c4762a1bSJed Brown   ierr = TSGetTimeStep(ts,&dt);CHKERRQ(ierr);
109c4762a1bSJed Brown   ierr = TSGetMaxTime(ts,&tfinal);CHKERRQ(ierr);
110c4762a1bSJed Brown 
111c4762a1bSJed Brown   while (user->next_output <= t && user->next_output <= tfinal) {
112c4762a1bSJed Brown     ierr = VecDuplicate(X,&interpolatedX);CHKERRQ(ierr);
113c4762a1bSJed Brown     ierr = TSInterpolate(ts,user->next_output,interpolatedX);CHKERRQ(ierr);
114c4762a1bSJed Brown     ierr = VecGetArrayRead(interpolatedX,&x);CHKERRQ(ierr);
115c4762a1bSJed Brown     ierr = PetscPrintf(PETSC_COMM_WORLD,"[%.1f] %D TS %.6f (dt = %.6f) X % 12.6e % 12.6e\n",
116c4762a1bSJed Brown                        user->next_output,step,t,dt,(double)PetscRealPart(x[0]),
117c4762a1bSJed Brown                        (double)PetscRealPart(x[1]));CHKERRQ(ierr);
118c4762a1bSJed Brown     ierr = VecRestoreArrayRead(interpolatedX,&x);CHKERRQ(ierr);
119c4762a1bSJed Brown     ierr = VecDestroy(&interpolatedX);CHKERRQ(ierr);
120c4762a1bSJed Brown     user->next_output += 0.1;
121c4762a1bSJed Brown   }
122c4762a1bSJed Brown   PetscFunctionReturn(0);
123c4762a1bSJed Brown }
124c4762a1bSJed Brown 
125c4762a1bSJed Brown int main(int argc,char **argv)
126c4762a1bSJed Brown {
127c4762a1bSJed Brown   TS             ts;            /* nonlinear solver */
128c4762a1bSJed Brown   Vec            x;             /* solution, residual vectors */
129c4762a1bSJed Brown   Mat            A;             /* Jacobian matrix */
130c4762a1bSJed Brown   PetscInt       steps;
131c4762a1bSJed Brown   PetscReal      ftime = 0.5;
132c4762a1bSJed Brown   PetscBool      monitor = PETSC_FALSE,implicitform = PETSC_TRUE;
133c4762a1bSJed Brown   PetscScalar    *x_ptr;
134c4762a1bSJed Brown   PetscMPIInt    size;
135c4762a1bSJed Brown   struct _n_User user;
136c4762a1bSJed Brown   PetscErrorCode ierr;
137c4762a1bSJed Brown 
138c4762a1bSJed Brown   /* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
139c4762a1bSJed Brown      Initialize program
140c4762a1bSJed Brown      - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */
141c4762a1bSJed Brown   ierr = PetscInitialize(&argc,&argv,NULL,help);if (ierr) return ierr;
142c4762a1bSJed Brown   ierr = MPI_Comm_size(PETSC_COMM_WORLD,&size);CHKERRQ(ierr);
143c4762a1bSJed Brown   if (size != 1) SETERRQ(PETSC_COMM_WORLD,PETSC_ERR_WRONG_MPI_SIZE,"This is a uniprocessor example only!");
144c4762a1bSJed Brown 
145c4762a1bSJed Brown   /* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
146c4762a1bSJed Brown     Set runtime options
147c4762a1bSJed Brown     - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */
148c4762a1bSJed Brown   user.next_output = 0.0;
149c4762a1bSJed Brown   user.mu          = 1.0e3;
150c4762a1bSJed Brown   ierr = PetscOptionsGetBool(NULL,NULL,"-monitor",&monitor,NULL);CHKERRQ(ierr);
151c4762a1bSJed Brown   ierr = PetscOptionsGetBool(NULL,NULL,"-implicitform",&implicitform,NULL);CHKERRQ(ierr);
152c4762a1bSJed Brown   ierr = PetscOptionsBegin(PETSC_COMM_WORLD,NULL,"Physical parameters",NULL);CHKERRQ(ierr);
153c4762a1bSJed Brown   ierr = PetscOptionsReal("-mu","Stiffness parameter","<1.0e6>",user.mu,&user.mu,NULL);CHKERRQ(ierr);
154c4762a1bSJed Brown   ierr = PetscOptionsEnd();CHKERRQ(ierr);
155c4762a1bSJed Brown 
156c4762a1bSJed Brown   /* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
157c4762a1bSJed Brown     Create necessary matrix and vectors, solve same ODE on every process
158c4762a1bSJed Brown     - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */
159c4762a1bSJed Brown   ierr = MatCreate(PETSC_COMM_WORLD,&A);CHKERRQ(ierr);
160c4762a1bSJed Brown   ierr = MatSetSizes(A,PETSC_DECIDE,PETSC_DECIDE,2,2);CHKERRQ(ierr);
161c4762a1bSJed Brown   ierr = MatSetFromOptions(A);CHKERRQ(ierr);
162c4762a1bSJed Brown   ierr = MatSetUp(A);CHKERRQ(ierr);
163c4762a1bSJed Brown 
164c4762a1bSJed Brown   ierr = MatCreateVecs(A,&x,NULL);CHKERRQ(ierr);
165c4762a1bSJed Brown 
166c4762a1bSJed Brown   /* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
167c4762a1bSJed Brown      Create timestepping solver context
168c4762a1bSJed Brown      - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */
169c4762a1bSJed Brown   ierr = TSCreate(PETSC_COMM_WORLD,&ts);CHKERRQ(ierr);
170c4762a1bSJed Brown   if (implicitform) {
171c4762a1bSJed Brown     ierr = TSSetIFunction(ts,NULL,IFunction,&user);CHKERRQ(ierr);
172c4762a1bSJed Brown     ierr = TSSetIJacobian(ts,A,A,IJacobian,&user);CHKERRQ(ierr);
173c4762a1bSJed Brown     ierr = TSSetType(ts,TSBEULER);CHKERRQ(ierr);
174c4762a1bSJed Brown   } else {
175c4762a1bSJed Brown     ierr = TSSetRHSFunction(ts,NULL,RHSFunction,&user);CHKERRQ(ierr);
176c4762a1bSJed Brown     ierr = TSSetType(ts,TSRK);CHKERRQ(ierr);
177c4762a1bSJed Brown   }
178c4762a1bSJed Brown   ierr = TSSetMaxTime(ts,ftime);CHKERRQ(ierr);
179c4762a1bSJed Brown   ierr = TSSetTimeStep(ts,0.001);CHKERRQ(ierr);
180c4762a1bSJed Brown   ierr = TSSetExactFinalTime(ts,TS_EXACTFINALTIME_STEPOVER);CHKERRQ(ierr);
181c4762a1bSJed Brown   if (monitor) {
182c4762a1bSJed Brown     ierr = TSMonitorSet(ts,Monitor,&user,NULL);CHKERRQ(ierr);
183c4762a1bSJed Brown   }
184c4762a1bSJed Brown 
185c4762a1bSJed Brown   /* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
186c4762a1bSJed Brown      Set initial conditions
187c4762a1bSJed Brown    - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */
188c4762a1bSJed Brown   ierr = VecGetArray(x,&x_ptr);CHKERRQ(ierr);
189c4762a1bSJed Brown   x_ptr[0] = 2.0;
190c4762a1bSJed Brown   x_ptr[1] = -2.0/3.0 + 10.0/(81.0*user.mu) - 292.0/(2187.0*user.mu*user.mu);
191c4762a1bSJed Brown   ierr = VecRestoreArray(x,&x_ptr);CHKERRQ(ierr);
192c4762a1bSJed Brown 
193c4762a1bSJed Brown   /* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
194c4762a1bSJed Brown      Set runtime options
195c4762a1bSJed Brown    - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */
196c4762a1bSJed Brown   ierr = TSSetFromOptions(ts);CHKERRQ(ierr);
197c4762a1bSJed Brown 
198c4762a1bSJed Brown   /* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
199c4762a1bSJed Brown      Solve nonlinear system
200c4762a1bSJed Brown      - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */
201c4762a1bSJed Brown   ierr = TSSolve(ts,x);CHKERRQ(ierr);
202c4762a1bSJed Brown   ierr = TSGetSolveTime(ts,&ftime);CHKERRQ(ierr);
203c4762a1bSJed Brown   ierr = TSGetStepNumber(ts,&steps);CHKERRQ(ierr);
204c4762a1bSJed Brown   ierr = PetscPrintf(PETSC_COMM_WORLD,"steps %D, ftime %g\n",steps,(double)ftime);CHKERRQ(ierr);
205c4762a1bSJed Brown   ierr = VecView(x,PETSC_VIEWER_STDOUT_WORLD);CHKERRQ(ierr);
206c4762a1bSJed Brown 
207c4762a1bSJed Brown   /* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
208c4762a1bSJed Brown      Free work space.  All PETSc objects should be destroyed when they
209c4762a1bSJed Brown      are no longer needed.
210c4762a1bSJed Brown    - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */
211c4762a1bSJed Brown   ierr = MatDestroy(&A);CHKERRQ(ierr);
212c4762a1bSJed Brown   ierr = VecDestroy(&x);CHKERRQ(ierr);
213c4762a1bSJed Brown   ierr = TSDestroy(&ts);CHKERRQ(ierr);
214c4762a1bSJed Brown 
215c4762a1bSJed Brown   ierr = PetscFinalize();
216c4762a1bSJed Brown   return(ierr);
217c4762a1bSJed Brown }
218c4762a1bSJed Brown 
219c4762a1bSJed Brown /*TEST
220c4762a1bSJed Brown 
221c4762a1bSJed Brown     test:
222c4762a1bSJed Brown       requires: !single
223c4762a1bSJed Brown       args: -mu 1e6
224c4762a1bSJed Brown 
225*10b8587eSHendrik Ranocha     test:
226*10b8587eSHendrik Ranocha       requires: !single
227*10b8587eSHendrik Ranocha       suffix: 2
228*10b8587eSHendrik Ranocha       args: -implicitform false -ts_type rk -ts_rk_type 5dp -ts_adapt_type dsp
229*10b8587eSHendrik Ranocha 
230*10b8587eSHendrik Ranocha     test:
231*10b8587eSHendrik Ranocha       requires: !single
232*10b8587eSHendrik Ranocha       suffix: 3
233*10b8587eSHendrik Ranocha       args: -implicitform false -ts_type rk -ts_rk_type 5dp -ts_adapt_type dsp -ts_adapt_dsp_filter H0312
234*10b8587eSHendrik Ranocha 
235c4762a1bSJed Brown TEST*/
236