xref: /petsc/src/ts/tutorials/ex16.c (revision 5ab1ac2bae2c53bf5666daef2efaf6cb34bd2dd4)
1c4762a1bSJed Brown 
2c4762a1bSJed Brown static char help[] = "Solves the van der Pol equation and demonstrate IMEX.\n\
3c4762a1bSJed Brown Input parameters include:\n\
4c4762a1bSJed Brown       -mu : stiffness parameter\n\n";
5c4762a1bSJed Brown 
6c4762a1bSJed Brown /*
7c4762a1bSJed Brown    Concepts: TS^time-dependent nonlinear problems
8c4762a1bSJed Brown    Concepts: TS^van der Pol equation
9c4762a1bSJed Brown    Processors: 1
10c4762a1bSJed Brown */
11c4762a1bSJed Brown /* ------------------------------------------------------------------------
12c4762a1bSJed Brown 
13c4762a1bSJed Brown    This program solves the van der Pol equation
14c4762a1bSJed Brown        y'' - \mu ((1-y^2)*y' - y) = 0        (1)
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    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.
18c4762a1bSJed Brown 
19c4762a1bSJed Brown    Notes:
20c4762a1bSJed Brown    This code demonstrates the TS solver interface to two variants of
21c4762a1bSJed Brown    linear problems, u_t = f(u,t), namely turning (1) into a system of
22c4762a1bSJed Brown    first order differential equations,
23c4762a1bSJed Brown 
24c4762a1bSJed Brown    [ y' ] = [          z            ]
25c4762a1bSJed Brown    [ z' ]   [ \mu ((1 - y^2) z - y) ]
26c4762a1bSJed Brown 
27c4762a1bSJed Brown    which then we can write as a vector equation
28c4762a1bSJed Brown 
29c4762a1bSJed Brown    [ u_1' ] = [             u_2           ]  (2)
30c4762a1bSJed Brown    [ u_2' ]   [ \mu (1 - u_1^2) u_2 - u_1 ]
31c4762a1bSJed Brown 
32c4762a1bSJed Brown    which is now in the desired form of u_t = f(u,t). One way that we
33c4762a1bSJed Brown    can split f(u,t) in (2) is to split by component,
34c4762a1bSJed Brown 
35c4762a1bSJed Brown    [ u_1' ] = [ u_2 ] + [            0                ]
36c4762a1bSJed Brown    [ u_2' ]   [  0  ]   [ \mu ((1 - u_1^2) u_2 - u_1) ]
37c4762a1bSJed Brown 
38c4762a1bSJed Brown    where
39c4762a1bSJed Brown 
40*5ab1ac2bSHong Zhang    [ G(u,t) ] = [ u_2 ]
41c4762a1bSJed Brown                 [  0  ]
42c4762a1bSJed Brown 
43c4762a1bSJed Brown    and
44c4762a1bSJed Brown 
45*5ab1ac2bSHong Zhang    [ F(u',u,t) ] = [ u_1' ] - [            0                ]
46c4762a1bSJed Brown                    [ u_2' ]   [ \mu ((1 - u_1^2) u_2 - u_1) ]
47c4762a1bSJed Brown 
48*5ab1ac2bSHong Zhang    Using the definition of the Jacobian of F (from the PETSc user manual),
49*5ab1ac2bSHong Zhang    in the equation F(u',u,t) = G(u,t),
50c4762a1bSJed Brown 
51*5ab1ac2bSHong Zhang               dF   dF
52*5ab1ac2bSHong Zhang    J(F) = a * -- - --
53c4762a1bSJed Brown               du'  du
54c4762a1bSJed Brown 
55c4762a1bSJed Brown    where d is the partial derivative. In this example,
56c4762a1bSJed Brown 
57*5ab1ac2bSHong Zhang    dF   [ 1 ; 0 ]
58c4762a1bSJed Brown    -- = [       ]
59c4762a1bSJed Brown    du'  [ 0 ; 1 ]
60c4762a1bSJed Brown 
61*5ab1ac2bSHong Zhang    dF   [       0             ;         0        ]
62c4762a1bSJed Brown    -- = [                                        ]
63c4762a1bSJed Brown    du   [ -\mu (2*u_1*u_2 + 1);  \mu (1 - u_1^2) ]
64c4762a1bSJed Brown 
65c4762a1bSJed Brown    Hence,
66c4762a1bSJed Brown 
67c4762a1bSJed Brown           [      a             ;          0          ]
68*5ab1ac2bSHong Zhang    J(F) = [                                          ]
69c4762a1bSJed Brown           [ \mu (2*u_1*u_2 + 1); a - \mu (1 - u_1^2) ]
70c4762a1bSJed Brown 
71c4762a1bSJed Brown   ------------------------------------------------------------------------- */
72c4762a1bSJed Brown 
73c4762a1bSJed Brown #include <petscts.h>
74c4762a1bSJed Brown 
75c4762a1bSJed Brown typedef struct _n_User *User;
76c4762a1bSJed Brown struct _n_User {
77c4762a1bSJed Brown   PetscReal mu;
78c4762a1bSJed Brown   PetscBool imex;
79c4762a1bSJed Brown   PetscReal next_output;
80c4762a1bSJed Brown };
81c4762a1bSJed Brown 
82c4762a1bSJed Brown /*
83c4762a1bSJed Brown *  User-defined routines
84c4762a1bSJed Brown */
85c4762a1bSJed Brown static PetscErrorCode RHSFunction(TS ts,PetscReal t,Vec X,Vec F,void *ctx)
86c4762a1bSJed Brown {
87c4762a1bSJed Brown   PetscErrorCode    ierr;
88c4762a1bSJed Brown   User              user = (User)ctx;
89c4762a1bSJed Brown   PetscScalar       *f;
90c4762a1bSJed Brown   const PetscScalar *x;
91c4762a1bSJed Brown 
92c4762a1bSJed Brown   PetscFunctionBeginUser;
93c4762a1bSJed Brown   ierr = VecGetArrayRead(X,&x);CHKERRQ(ierr);
94c4762a1bSJed Brown   ierr = VecGetArray(F,&f);CHKERRQ(ierr);
95c4762a1bSJed Brown   f[0] = (user->imex ? x[1] : 0);
96c4762a1bSJed Brown   f[1] = 0.0;
97c4762a1bSJed Brown   ierr = VecRestoreArrayRead(X,&x);CHKERRQ(ierr);
98c4762a1bSJed Brown   ierr = VecRestoreArray(F,&f);CHKERRQ(ierr);
99c4762a1bSJed Brown   PetscFunctionReturn(0);
100c4762a1bSJed Brown }
101c4762a1bSJed Brown 
102c4762a1bSJed Brown static PetscErrorCode IFunction(TS ts,PetscReal t,Vec X,Vec Xdot,Vec F,void *ctx)
103c4762a1bSJed Brown {
104c4762a1bSJed Brown   PetscErrorCode    ierr;
105c4762a1bSJed Brown   User              user = (User)ctx;
106c4762a1bSJed Brown   const PetscScalar *x,*xdot;
107c4762a1bSJed Brown   PetscScalar       *f;
108c4762a1bSJed Brown 
109c4762a1bSJed Brown   PetscFunctionBeginUser;
110c4762a1bSJed Brown   ierr = VecGetArrayRead(X,&x);CHKERRQ(ierr);
111c4762a1bSJed Brown   ierr = VecGetArrayRead(Xdot,&xdot);CHKERRQ(ierr);
112c4762a1bSJed Brown   ierr = VecGetArray(F,&f);CHKERRQ(ierr);
113c4762a1bSJed Brown   f[0] = xdot[0] + (user->imex ? 0 : x[1]);
114c4762a1bSJed Brown   f[1] = xdot[1] - user->mu*((1. - x[0]*x[0])*x[1] - x[0]);
115c4762a1bSJed Brown   ierr = VecRestoreArrayRead(X,&x);CHKERRQ(ierr);
116c4762a1bSJed Brown   ierr = VecRestoreArrayRead(Xdot,&xdot);CHKERRQ(ierr);
117c4762a1bSJed Brown   ierr = VecRestoreArray(F,&f);CHKERRQ(ierr);
118c4762a1bSJed Brown   PetscFunctionReturn(0);
119c4762a1bSJed Brown }
120c4762a1bSJed Brown 
121c4762a1bSJed Brown static PetscErrorCode IJacobian(TS ts,PetscReal t,Vec X,Vec Xdot,PetscReal a,Mat A,Mat B,void *ctx)
122c4762a1bSJed Brown {
123c4762a1bSJed Brown   PetscErrorCode    ierr;
124c4762a1bSJed Brown   User              user     = (User)ctx;
125c4762a1bSJed Brown   PetscReal         mu       = user->mu;
126c4762a1bSJed Brown   PetscInt          rowcol[] = {0,1};
127c4762a1bSJed Brown   const PetscScalar *x;
128c4762a1bSJed Brown   PetscScalar       J[2][2];
129c4762a1bSJed Brown 
130c4762a1bSJed Brown   PetscFunctionBeginUser;
131c4762a1bSJed Brown   ierr    = VecGetArrayRead(X,&x);CHKERRQ(ierr);
132c4762a1bSJed Brown   J[0][0] = a;                    J[0][1] = (user->imex ? 0 : 1.);
133c4762a1bSJed Brown   J[1][0] = mu*(2.*x[0]*x[1]+1.);   J[1][1] = a - mu*(1. - x[0]*x[0]);
134c4762a1bSJed Brown   ierr    = MatSetValues(B,2,rowcol,2,rowcol,&J[0][0],INSERT_VALUES);CHKERRQ(ierr);
135c4762a1bSJed Brown   ierr    = VecRestoreArrayRead(X,&x);CHKERRQ(ierr);
136c4762a1bSJed Brown 
137c4762a1bSJed Brown   ierr = MatAssemblyBegin(A,MAT_FINAL_ASSEMBLY);CHKERRQ(ierr);
138c4762a1bSJed Brown   ierr = MatAssemblyEnd(A,MAT_FINAL_ASSEMBLY);CHKERRQ(ierr);
139c4762a1bSJed Brown   if (A != B) {
140c4762a1bSJed Brown     ierr = MatAssemblyBegin(B,MAT_FINAL_ASSEMBLY);CHKERRQ(ierr);
141c4762a1bSJed Brown     ierr = MatAssemblyEnd(B,MAT_FINAL_ASSEMBLY);CHKERRQ(ierr);
142c4762a1bSJed Brown   }
143c4762a1bSJed Brown   PetscFunctionReturn(0);
144c4762a1bSJed Brown }
145c4762a1bSJed Brown 
146c4762a1bSJed Brown static PetscErrorCode RegisterMyARK2(void)
147c4762a1bSJed Brown {
148c4762a1bSJed Brown   PetscErrorCode ierr;
149c4762a1bSJed Brown 
150c4762a1bSJed Brown   PetscFunctionBeginUser;
151c4762a1bSJed Brown   {
152c4762a1bSJed Brown     const PetscReal
153c4762a1bSJed Brown       A[3][3] = {{0,0,0},
154c4762a1bSJed Brown                  {0.41421356237309504880,0,0},
155c4762a1bSJed Brown                  {0.75,0.25,0}},
156c4762a1bSJed Brown       At[3][3] = {{0,0,0},
157c4762a1bSJed Brown                   {0.12132034355964257320,0.29289321881345247560,0},
158c4762a1bSJed Brown                   {0.20710678118654752440,0.50000000000000000000,0.29289321881345247560}},
159c4762a1bSJed Brown       *bembedt = NULL,*bembed = NULL;
160c4762a1bSJed Brown     ierr = TSARKIMEXRegister("myark2",2,3,&At[0][0],NULL,NULL,&A[0][0],NULL,NULL,bembedt,bembed,0,NULL,NULL);CHKERRQ(ierr);
161c4762a1bSJed Brown   }
162c4762a1bSJed Brown   PetscFunctionReturn(0);
163c4762a1bSJed Brown }
164c4762a1bSJed Brown 
165c4762a1bSJed Brown /* Monitor timesteps and use interpolation to output at integer multiples of 0.1 */
166c4762a1bSJed Brown static PetscErrorCode Monitor(TS ts,PetscInt step,PetscReal t,Vec X,void *ctx)
167c4762a1bSJed Brown {
168c4762a1bSJed Brown   PetscErrorCode    ierr;
169c4762a1bSJed Brown   const PetscScalar *x;
170c4762a1bSJed Brown   PetscReal         tfinal, dt;
171c4762a1bSJed Brown   User              user = (User)ctx;
172c4762a1bSJed Brown   Vec               interpolatedX;
173c4762a1bSJed Brown 
174c4762a1bSJed Brown   PetscFunctionBeginUser;
175c4762a1bSJed Brown   ierr = TSGetTimeStep(ts,&dt);CHKERRQ(ierr);
176c4762a1bSJed Brown   ierr = TSGetMaxTime(ts,&tfinal);CHKERRQ(ierr);
177c4762a1bSJed Brown 
178c4762a1bSJed Brown   while (user->next_output <= t && user->next_output <= tfinal) {
179c4762a1bSJed Brown     ierr = VecDuplicate(X,&interpolatedX);CHKERRQ(ierr);
180c4762a1bSJed Brown     ierr = TSInterpolate(ts,user->next_output,interpolatedX);CHKERRQ(ierr);
181c4762a1bSJed Brown     ierr = VecGetArrayRead(interpolatedX,&x);CHKERRQ(ierr);
182c4762a1bSJed Brown     ierr = PetscPrintf(PETSC_COMM_WORLD,"[%.1f] %D TS %.6f (dt = %.6f) X % 12.6e % 12.6e\n",user->next_output,step,t,dt,(double)PetscRealPart(x[0]),(double)PetscRealPart(x[1]));CHKERRQ(ierr);
183c4762a1bSJed Brown     ierr = VecRestoreArrayRead(interpolatedX,&x);CHKERRQ(ierr);
184c4762a1bSJed Brown     ierr = VecDestroy(&interpolatedX);CHKERRQ(ierr);
185c4762a1bSJed Brown 
186c4762a1bSJed Brown     user->next_output += 0.1;
187c4762a1bSJed Brown   }
188c4762a1bSJed Brown   PetscFunctionReturn(0);
189c4762a1bSJed Brown }
190c4762a1bSJed Brown 
191c4762a1bSJed Brown int main(int argc,char **argv)
192c4762a1bSJed Brown {
193c4762a1bSJed Brown   TS             ts;            /* nonlinear solver */
194c4762a1bSJed Brown   Vec            x;             /* solution, residual vectors */
195c4762a1bSJed Brown   Mat            A;             /* Jacobian matrix */
196c4762a1bSJed Brown   PetscInt       steps;
197c4762a1bSJed Brown   PetscReal      ftime = 0.5;
198c4762a1bSJed Brown   PetscBool      monitor = PETSC_FALSE;
199c4762a1bSJed Brown   PetscScalar    *x_ptr;
200c4762a1bSJed Brown   PetscMPIInt    size;
201c4762a1bSJed Brown   struct _n_User user;
202c4762a1bSJed Brown   PetscErrorCode ierr;
203c4762a1bSJed Brown 
204c4762a1bSJed Brown   /* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
205c4762a1bSJed Brown      Initialize program
206c4762a1bSJed Brown      - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */
207c4762a1bSJed Brown   ierr = PetscInitialize(&argc,&argv,NULL,help);if (ierr) return ierr;
208c4762a1bSJed Brown   ierr = MPI_Comm_size(PETSC_COMM_WORLD,&size);CHKERRQ(ierr);
209c4762a1bSJed Brown   if (size != 1) SETERRQ(PETSC_COMM_WORLD,PETSC_ERR_WRONG_MPI_SIZE,"This is a uniprocessor example only!");
210c4762a1bSJed Brown 
211c4762a1bSJed Brown   ierr = RegisterMyARK2();CHKERRQ(ierr);
212c4762a1bSJed Brown 
213c4762a1bSJed Brown   /* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
214c4762a1bSJed Brown     Set runtime options
215c4762a1bSJed Brown     - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */
216c4762a1bSJed Brown   user.mu          = 1000.0;
217c4762a1bSJed Brown   user.imex        = PETSC_TRUE;
218c4762a1bSJed Brown   user.next_output = 0.0;
219c4762a1bSJed Brown 
220c4762a1bSJed Brown   ierr = PetscOptionsGetReal(NULL,NULL,"-mu",&user.mu,NULL);CHKERRQ(ierr);
221c4762a1bSJed Brown   ierr = PetscOptionsGetBool(NULL,NULL,"-imex",&user.imex,NULL);CHKERRQ(ierr);
222c4762a1bSJed Brown   ierr = PetscOptionsGetBool(NULL,NULL,"-monitor",&monitor,NULL);CHKERRQ(ierr);
223c4762a1bSJed Brown 
224c4762a1bSJed Brown   /* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
225c4762a1bSJed Brown     Create necessary matrix and vectors, solve same ODE on every process
226c4762a1bSJed Brown     - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */
227c4762a1bSJed Brown   ierr = MatCreate(PETSC_COMM_WORLD,&A);CHKERRQ(ierr);
228c4762a1bSJed Brown   ierr = MatSetSizes(A,PETSC_DECIDE,PETSC_DECIDE,2,2);CHKERRQ(ierr);
229c4762a1bSJed Brown   ierr = MatSetFromOptions(A);CHKERRQ(ierr);
230c4762a1bSJed Brown   ierr = MatSetUp(A);CHKERRQ(ierr);
231c4762a1bSJed Brown   ierr = MatCreateVecs(A,&x,NULL);CHKERRQ(ierr);
232c4762a1bSJed Brown 
233c4762a1bSJed Brown   /* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
234c4762a1bSJed Brown      Create timestepping solver context
235c4762a1bSJed Brown      - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */
236c4762a1bSJed Brown   ierr = TSCreate(PETSC_COMM_WORLD,&ts);CHKERRQ(ierr);
237c4762a1bSJed Brown   ierr = TSSetType(ts,TSBEULER);CHKERRQ(ierr);
238c4762a1bSJed Brown   ierr = TSSetRHSFunction(ts,NULL,RHSFunction,&user);CHKERRQ(ierr);
239c4762a1bSJed Brown   ierr = TSSetIFunction(ts,NULL,IFunction,&user);CHKERRQ(ierr);
240c4762a1bSJed Brown   ierr = TSSetIJacobian(ts,A,A,IJacobian,&user);CHKERRQ(ierr);
241c4762a1bSJed Brown   ierr = TSSetMaxTime(ts,ftime);CHKERRQ(ierr);
242c4762a1bSJed Brown   ierr = TSSetExactFinalTime(ts,TS_EXACTFINALTIME_STEPOVER);CHKERRQ(ierr);
243c4762a1bSJed Brown   if (monitor) {
244c4762a1bSJed Brown     ierr = TSMonitorSet(ts,Monitor,&user,NULL);CHKERRQ(ierr);
245c4762a1bSJed Brown   }
246c4762a1bSJed Brown 
247c4762a1bSJed Brown   /* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
248c4762a1bSJed Brown      Set initial conditions
249c4762a1bSJed Brown    - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */
250c4762a1bSJed Brown   ierr = VecGetArray(x,&x_ptr);CHKERRQ(ierr);
251c4762a1bSJed Brown   x_ptr[0] = 2.0;
252c4762a1bSJed Brown   x_ptr[1] = -2.0/3.0 + 10.0/(81.0*user.mu) - 292.0/(2187.0*user.mu*user.mu);
253c4762a1bSJed Brown   ierr = VecRestoreArray(x,&x_ptr);CHKERRQ(ierr);
254c4762a1bSJed Brown   ierr = TSSetTimeStep(ts,0.01);CHKERRQ(ierr);
255c4762a1bSJed Brown 
256c4762a1bSJed Brown   /* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
257c4762a1bSJed Brown      Set runtime options
258c4762a1bSJed Brown    - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */
259c4762a1bSJed Brown   ierr = TSSetFromOptions(ts);CHKERRQ(ierr);
260c4762a1bSJed Brown 
261c4762a1bSJed Brown   /* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
262c4762a1bSJed Brown      Solve nonlinear system
263c4762a1bSJed Brown      - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */
264c4762a1bSJed Brown   ierr = TSSolve(ts,x);CHKERRQ(ierr);
265c4762a1bSJed Brown   ierr = TSGetSolveTime(ts,&ftime);CHKERRQ(ierr);
266c4762a1bSJed Brown   ierr = TSGetStepNumber(ts,&steps);CHKERRQ(ierr);
267c4762a1bSJed Brown   ierr = PetscPrintf(PETSC_COMM_WORLD,"mu %g, steps %D, ftime %g\n",(double)user.mu,steps,(double)ftime);CHKERRQ(ierr);
268c4762a1bSJed Brown   ierr = VecView(x,PETSC_VIEWER_STDOUT_WORLD);CHKERRQ(ierr);
269c4762a1bSJed Brown 
270c4762a1bSJed Brown   /* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
271c4762a1bSJed Brown      Free work space.  All PETSc objects should be destroyed when they
272c4762a1bSJed Brown      are no longer needed.
273c4762a1bSJed Brown    - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */
274c4762a1bSJed Brown   ierr = MatDestroy(&A);CHKERRQ(ierr);
275c4762a1bSJed Brown   ierr = VecDestroy(&x);CHKERRQ(ierr);
276c4762a1bSJed Brown   ierr = TSDestroy(&ts);CHKERRQ(ierr);
277c4762a1bSJed Brown 
278c4762a1bSJed Brown   ierr = PetscFinalize();
279c4762a1bSJed Brown   return ierr;
280c4762a1bSJed Brown }
281c4762a1bSJed Brown 
282c4762a1bSJed Brown /*TEST
283c4762a1bSJed Brown 
284c4762a1bSJed Brown     test:
285c4762a1bSJed Brown       args: -ts_type arkimex -ts_arkimex_type myark2 -ts_adapt_type none
286c4762a1bSJed Brown       requires: !single
287c4762a1bSJed Brown 
288c4762a1bSJed Brown TEST*/
289