xref: /petsc/src/ts/tutorials/ex49.c (revision 9566063d113dddea24716c546802770db7481bc0)
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) = -6.6e-01,
17c4762a1bSJed Brown    and
18c4762a1bSJed Brown        mu = 10^6.
19c4762a1bSJed Brown    This is a nonlinear equation.
20c4762a1bSJed Brown 
21c4762a1bSJed Brown    This is a copy and modification of ex20.c to exactly match a test
22c4762a1bSJed Brown    problem that comes with the Radau5 integrator package.
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 static PetscErrorCode IFunction(TS ts,PetscReal t,Vec X,Vec Xdot,Vec F,void *ctx)
35c4762a1bSJed Brown {
36c4762a1bSJed Brown   PetscErrorCode    ierr;
37c4762a1bSJed Brown   User              user = (User)ctx;
38c4762a1bSJed Brown   const PetscScalar *x,*xdot;
39c4762a1bSJed Brown   PetscScalar       *f;
40c4762a1bSJed Brown 
41c4762a1bSJed Brown   PetscFunctionBeginUser;
42*9566063dSJacob Faibussowitsch   PetscCall(VecGetArrayRead(X,&x));
43*9566063dSJacob Faibussowitsch   PetscCall(VecGetArrayRead(Xdot,&xdot));
44*9566063dSJacob Faibussowitsch   PetscCall(VecGetArray(F,&f));
45c4762a1bSJed Brown   f[0] = xdot[0] - x[1];
46c4762a1bSJed Brown   f[1] = xdot[1] - user->mu*((1.0-x[0]*x[0])*x[1] - x[0]);
47*9566063dSJacob Faibussowitsch   PetscCall(VecRestoreArrayRead(X,&x));
48*9566063dSJacob Faibussowitsch   PetscCall(VecRestoreArrayRead(Xdot,&xdot));
49*9566063dSJacob Faibussowitsch   PetscCall(VecRestoreArray(F,&f));
50c4762a1bSJed Brown   PetscFunctionReturn(0);
51c4762a1bSJed Brown }
52c4762a1bSJed Brown 
53c4762a1bSJed Brown static PetscErrorCode IJacobian(TS ts,PetscReal t,Vec X,Vec Xdot,PetscReal a,Mat A,Mat B,void *ctx)
54c4762a1bSJed Brown {
55c4762a1bSJed Brown   PetscErrorCode    ierr;
56c4762a1bSJed Brown   User              user     = (User)ctx;
57c4762a1bSJed Brown   PetscInt          rowcol[] = {0,1};
58c4762a1bSJed Brown   const PetscScalar *x;
59c4762a1bSJed Brown   PetscScalar       J[2][2];
60c4762a1bSJed Brown 
61c4762a1bSJed Brown   PetscFunctionBeginUser;
62*9566063dSJacob Faibussowitsch   PetscCall(VecGetArrayRead(X,&x));
63c4762a1bSJed Brown   J[0][0] = a;     J[0][1] = -1.0;
64c4762a1bSJed Brown   J[1][0] = user->mu*(1.0 + 2.0*x[0]*x[1]);   J[1][1] = a - user->mu*(1.0-x[0]*x[0]);
65*9566063dSJacob Faibussowitsch   PetscCall(MatSetValues(B,2,rowcol,2,rowcol,&J[0][0],INSERT_VALUES));
66*9566063dSJacob Faibussowitsch   PetscCall(VecRestoreArrayRead(X,&x));
67c4762a1bSJed Brown 
68*9566063dSJacob Faibussowitsch   PetscCall(MatAssemblyBegin(A,MAT_FINAL_ASSEMBLY));
69*9566063dSJacob Faibussowitsch   PetscCall(MatAssemblyEnd(A,MAT_FINAL_ASSEMBLY));
70c4762a1bSJed Brown   if (A != B) {
71*9566063dSJacob Faibussowitsch     PetscCall(MatAssemblyBegin(B,MAT_FINAL_ASSEMBLY));
72*9566063dSJacob Faibussowitsch     PetscCall(MatAssemblyEnd(B,MAT_FINAL_ASSEMBLY));
73c4762a1bSJed Brown   }
74c4762a1bSJed Brown   PetscFunctionReturn(0);
75c4762a1bSJed Brown }
76c4762a1bSJed Brown 
77c4762a1bSJed Brown int main(int argc,char **argv)
78c4762a1bSJed Brown {
79c4762a1bSJed Brown   TS             ts;            /* nonlinear solver */
80c4762a1bSJed Brown   Vec            x;             /* solution, residual vectors */
81c4762a1bSJed Brown   Mat            A;             /* Jacobian matrix */
82c4762a1bSJed Brown   PetscInt       steps;
83c4762a1bSJed Brown   PetscReal      ftime   = 2;
84c4762a1bSJed Brown   PetscScalar    *x_ptr;
85c4762a1bSJed Brown   PetscMPIInt    size;
86c4762a1bSJed Brown   struct _n_User user;
87c4762a1bSJed Brown   PetscErrorCode ierr;
88c4762a1bSJed Brown 
89c4762a1bSJed Brown   /* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
90c4762a1bSJed Brown      Initialize program
91c4762a1bSJed Brown      - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */
92*9566063dSJacob Faibussowitsch   PetscCall(PetscInitialize(&argc,&argv,NULL,help));
93*9566063dSJacob Faibussowitsch   PetscCallMPI(MPI_Comm_size(PETSC_COMM_WORLD,&size));
943c633725SBarry Smith   PetscCheck(size == 1,PETSC_COMM_WORLD,PETSC_ERR_WRONG_MPI_SIZE,"This is a uniprocessor example only!");
95c4762a1bSJed Brown 
96c4762a1bSJed Brown   /* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
97c4762a1bSJed Brown     Set runtime options
98c4762a1bSJed Brown     - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */
99c4762a1bSJed Brown   user.next_output = 0.0;
100c4762a1bSJed Brown   user.mu          = 1.0e6;
101*9566063dSJacob Faibussowitsch   ierr = PetscOptionsBegin(PETSC_COMM_WORLD,NULL,"Physical parameters",NULL);PetscCall(ierr);
102*9566063dSJacob Faibussowitsch   PetscCall(PetscOptionsReal("-mu","Stiffness parameter","<1.0e6>",user.mu,&user.mu,NULL));
103*9566063dSJacob Faibussowitsch   ierr = PetscOptionsEnd();PetscCall(ierr);
104c4762a1bSJed Brown 
105c4762a1bSJed Brown   /* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
106c4762a1bSJed Brown     Create necessary matrix and vectors, solve same ODE on every process
107c4762a1bSJed Brown     - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */
108*9566063dSJacob Faibussowitsch   PetscCall(MatCreate(PETSC_COMM_WORLD,&A));
109*9566063dSJacob Faibussowitsch   PetscCall(MatSetSizes(A,PETSC_DECIDE,PETSC_DECIDE,2,2));
110*9566063dSJacob Faibussowitsch   PetscCall(MatSetFromOptions(A));
111*9566063dSJacob Faibussowitsch   PetscCall(MatSetUp(A));
112c4762a1bSJed Brown 
113*9566063dSJacob Faibussowitsch   PetscCall(MatCreateVecs(A,&x,NULL));
114c4762a1bSJed Brown 
115c4762a1bSJed Brown   /* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
116c4762a1bSJed Brown      Create timestepping solver context
117c4762a1bSJed Brown      - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */
118*9566063dSJacob Faibussowitsch   PetscCall(TSCreate(PETSC_COMM_WORLD,&ts));
119*9566063dSJacob Faibussowitsch   PetscCall(TSSetType(ts,TSBEULER));
120*9566063dSJacob Faibussowitsch   PetscCall(TSSetIFunction(ts,NULL,IFunction,&user));
121*9566063dSJacob Faibussowitsch   PetscCall(TSSetIJacobian(ts,A,A,IJacobian,&user));
122c4762a1bSJed Brown 
123*9566063dSJacob Faibussowitsch   PetscCall(TSSetMaxTime(ts,ftime));
124*9566063dSJacob Faibussowitsch   PetscCall(TSSetExactFinalTime(ts,TS_EXACTFINALTIME_STEPOVER));
125*9566063dSJacob Faibussowitsch   PetscCall(TSSetTolerances(ts,1.e-4,NULL,1.e-4,NULL));
126c4762a1bSJed Brown   /* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
127c4762a1bSJed Brown      Set initial conditions
128c4762a1bSJed Brown    - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */
129*9566063dSJacob Faibussowitsch   PetscCall(VecGetArray(x,&x_ptr));
130c4762a1bSJed Brown   x_ptr[0] = 2.0;   x_ptr[1] = -6.6e-01;
131*9566063dSJacob Faibussowitsch   PetscCall(VecRestoreArray(x,&x_ptr));
132*9566063dSJacob Faibussowitsch   PetscCall(TSSetTimeStep(ts,.000001));
133c4762a1bSJed Brown 
134c4762a1bSJed Brown   /* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
135c4762a1bSJed Brown      Set runtime options
136c4762a1bSJed Brown    - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */
137*9566063dSJacob Faibussowitsch   PetscCall(TSSetFromOptions(ts));
138c4762a1bSJed Brown 
139c4762a1bSJed Brown   /* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
140c4762a1bSJed Brown      Solve nonlinear system
141c4762a1bSJed Brown      - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */
142*9566063dSJacob Faibussowitsch   PetscCall(TSSolve(ts,x));
143*9566063dSJacob Faibussowitsch   PetscCall(TSGetSolveTime(ts,&ftime));
144*9566063dSJacob Faibussowitsch   PetscCall(TSGetStepNumber(ts,&steps));
145*9566063dSJacob Faibussowitsch   PetscCall(PetscPrintf(PETSC_COMM_WORLD,"steps %D, ftime %g\n",steps,(double)ftime));
146*9566063dSJacob Faibussowitsch   PetscCall(VecView(x,PETSC_VIEWER_STDOUT_WORLD));
147c4762a1bSJed Brown 
148c4762a1bSJed Brown   /* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
149c4762a1bSJed Brown      Free work space.  All PETSc objects should be destroyed when they
150c4762a1bSJed Brown      are no longer needed.
151c4762a1bSJed Brown    - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */
152*9566063dSJacob Faibussowitsch   PetscCall(MatDestroy(&A));
153*9566063dSJacob Faibussowitsch   PetscCall(VecDestroy(&x));
154*9566063dSJacob Faibussowitsch   PetscCall(TSDestroy(&ts));
155c4762a1bSJed Brown 
156*9566063dSJacob Faibussowitsch   PetscCall(PetscFinalize());
157c4762a1bSJed Brown   return(ierr);
158c4762a1bSJed Brown }
159c4762a1bSJed Brown 
160c4762a1bSJed Brown /*TEST
161c4762a1bSJed Brown 
162c4762a1bSJed Brown     build:
163dfd57a17SPierre Jolivet       requires: double !complex !defined(PETSC_USE_64BIT_INDICES) radau5
164c4762a1bSJed Brown 
165c4762a1bSJed Brown     test:
166c4762a1bSJed Brown       args: -ts_monitor_solution -ts_type radau5
167c4762a1bSJed Brown 
168c4762a1bSJed Brown TEST*/
169