xref: /petsc/src/ts/tutorials/ex36.c (revision 05e808d26d9069064574e6e0262a80f12b2cd9f5)
1c4762a1bSJed Brown 
2c4762a1bSJed Brown static char help[] = "Transistor amplifier.\n";
3c4762a1bSJed Brown 
4c4762a1bSJed Brown /*F
5c4762a1bSJed Brown   M y'=f(t,y)
6c4762a1bSJed Brown 
7c4762a1bSJed Brown   Useful options: -ts_monitor_lg_solution -ts_monitor_lg_timestep -lg_indicate_data_points 0
8c4762a1bSJed Brown F*/
9c4762a1bSJed Brown 
10c4762a1bSJed Brown /*
11c4762a1bSJed Brown    Include "petscts.h" so that we can use TS solvers.  Note that this
12c4762a1bSJed Brown    file automatically includes:
13c4762a1bSJed Brown      petscsys.h       - base PETSc routines   petscvec.h - vectors
14c4762a1bSJed Brown      petscmat.h - matrices
15c4762a1bSJed Brown      petscis.h     - index sets            petscksp.h - Krylov subspace methods
16c4762a1bSJed Brown      petscviewer.h - viewers               petscpc.h  - preconditioners
17c4762a1bSJed Brown      petscksp.h   - linear solvers
18c4762a1bSJed Brown */
19c4762a1bSJed Brown #include <petscts.h>
20c4762a1bSJed Brown 
21c4762a1bSJed Brown FILE *gfilepointer_data,*gfilepointer_info;
22c4762a1bSJed Brown 
23c4762a1bSJed Brown /* Defines the source  */
24c4762a1bSJed Brown PetscErrorCode Ue(PetscScalar t,PetscScalar *U)
25c4762a1bSJed Brown {
26c4762a1bSJed Brown   PetscFunctionBegin;
27c4762a1bSJed Brown   * U = 0.4*PetscSinReal(200*PETSC_PI*t);
28c4762a1bSJed Brown   PetscFunctionReturn(0);
29c4762a1bSJed Brown }
30c4762a1bSJed Brown 
31c4762a1bSJed Brown /*
32c4762a1bSJed Brown      Defines the DAE passed to the time solver
33c4762a1bSJed Brown */
34c4762a1bSJed Brown static PetscErrorCode IFunctionImplicit(TS ts,PetscReal t,Vec Y,Vec Ydot,Vec F,void *ctx)
35c4762a1bSJed Brown {
36c4762a1bSJed Brown   PetscErrorCode    ierr;
37c4762a1bSJed Brown   const PetscScalar *y,*ydot;
38c4762a1bSJed Brown   PetscScalar       *f;
39c4762a1bSJed Brown 
40c4762a1bSJed Brown   PetscFunctionBegin;
41c4762a1bSJed Brown   /*  The next three lines allow us to access the entries of the vectors directly */
42c4762a1bSJed Brown   ierr = VecGetArrayRead(Y,&y);CHKERRQ(ierr);
43c4762a1bSJed Brown   ierr = VecGetArrayRead(Ydot,&ydot);CHKERRQ(ierr);
44*05e808d2SBarry Smith   ierr = VecGetArrayWrite(F,&f);CHKERRQ(ierr);
45c4762a1bSJed Brown 
46c4762a1bSJed Brown   f[0]= PetscSinReal(200*PETSC_PI*t)/2500. - y[0]/1000. - ydot[0]/1.e6 + ydot[1]/1.e6;
47c4762a1bSJed Brown   f[1]=0.0006666766666666667 -  PetscExpReal((500*(y[1] - y[2]))/13.)/1.e8 - y[1]/4500. + ydot[0]/1.e6 - ydot[1]/1.e6;
48c4762a1bSJed Brown   f[2]=-1.e-6 +  PetscExpReal((500*(y[1] - y[2]))/13.)/1.e6 - y[2]/9000. - ydot[2]/500000.;
49c4762a1bSJed Brown   f[3]=0.0006676566666666666 - (99* PetscExpReal((500*(y[1] - y[2]))/13.))/1.e8 - y[3]/9000. - (3*ydot[3])/1.e6 + (3*ydot[4])/1.e6;
50c4762a1bSJed Brown   f[4]=-y[4]/9000. + (3*ydot[3])/1.e6 - (3*ydot[4])/1.e6;
51c4762a1bSJed Brown 
52c4762a1bSJed Brown   ierr = VecRestoreArrayRead(Y,&y);CHKERRQ(ierr);
53c4762a1bSJed Brown   ierr = VecRestoreArrayRead(Ydot,&ydot);CHKERRQ(ierr);
54*05e808d2SBarry Smith   ierr = VecRestoreArrayWrite(F,&f);CHKERRQ(ierr);
55c4762a1bSJed Brown   PetscFunctionReturn(0);
56c4762a1bSJed Brown }
57c4762a1bSJed Brown 
58c4762a1bSJed Brown /*
59c4762a1bSJed Brown      Defines the Jacobian of the ODE passed to the ODE solver. See TSSetIJacobian() for the meaning of a and the Jacobian.
60c4762a1bSJed Brown */
61c4762a1bSJed Brown static PetscErrorCode IJacobianImplicit(TS ts,PetscReal t,Vec Y,Vec Ydot,PetscReal a,Mat A,Mat B,void *ctx)
62c4762a1bSJed Brown {
63c4762a1bSJed Brown   PetscErrorCode    ierr;
64c4762a1bSJed Brown   PetscInt          rowcol[] = {0,1,2,3,4};
65c4762a1bSJed Brown   const PetscScalar *y,*ydot;
66c4762a1bSJed Brown   PetscScalar       J[5][5];
67c4762a1bSJed Brown 
68c4762a1bSJed Brown   PetscFunctionBegin;
69c4762a1bSJed Brown   ierr = VecGetArrayRead(Y,&y);CHKERRQ(ierr);
70c4762a1bSJed Brown   ierr = VecGetArrayRead(Ydot,&ydot);CHKERRQ(ierr);
71c4762a1bSJed Brown 
72c4762a1bSJed Brown   ierr = PetscMemzero(J,sizeof(J));CHKERRQ(ierr);
73c4762a1bSJed Brown 
74c4762a1bSJed Brown   J[0][0]=-0.001 - a/1.e6;
75c4762a1bSJed Brown   J[0][1]=a/1.e6;
76c4762a1bSJed Brown   J[1][0]=a/1.e6;
77c4762a1bSJed Brown   J[1][1]=-0.00022222222222222223 - a/1.e6 -  PetscExpReal((500*(y[1] - y[2]))/13.)/2.6e6;
78c4762a1bSJed Brown   J[1][2]= PetscExpReal((500*(y[1] - y[2]))/13.)/2.6e6;
79c4762a1bSJed Brown   J[2][1]= PetscExpReal((500*(y[1] - y[2]))/13.)/26000.;
80c4762a1bSJed Brown   J[2][2]=-0.00011111111111111112 - a/500000. -  PetscExpReal((500*(y[1] - y[2]))/13.)/26000.;
81c4762a1bSJed Brown   J[3][1]=(-99* PetscExpReal((500*(y[1] - y[2]))/13.))/2.6e6;
82c4762a1bSJed Brown   J[3][2]=(99* PetscExpReal((500*(y[1] - y[2]))/13.))/2.6e6;
83c4762a1bSJed Brown   J[3][3]=-0.00011111111111111112 - (3*a)/1.e6;
84c4762a1bSJed Brown   J[3][4]=(3*a)/1.e6;
85c4762a1bSJed Brown   J[4][3]=(3*a)/1.e6;
86c4762a1bSJed Brown   J[4][4]=-0.00011111111111111112 - (3*a)/1.e6;
87c4762a1bSJed Brown 
88c4762a1bSJed Brown 
89c4762a1bSJed Brown   ierr = MatSetValues(B,5,rowcol,5,rowcol,&J[0][0],INSERT_VALUES);CHKERRQ(ierr);
90c4762a1bSJed Brown 
91c4762a1bSJed Brown   ierr = VecRestoreArrayRead(Y,&y);CHKERRQ(ierr);
92c4762a1bSJed Brown   ierr = VecRestoreArrayRead(Ydot,&ydot);CHKERRQ(ierr);
93c4762a1bSJed Brown 
94c4762a1bSJed Brown   ierr = MatAssemblyBegin(A,MAT_FINAL_ASSEMBLY);CHKERRQ(ierr);
95c4762a1bSJed Brown   ierr = MatAssemblyEnd(A,MAT_FINAL_ASSEMBLY);CHKERRQ(ierr);
96c4762a1bSJed Brown   if (A != B) {
97c4762a1bSJed Brown     ierr = MatAssemblyBegin(B,MAT_FINAL_ASSEMBLY);CHKERRQ(ierr);
98c4762a1bSJed Brown     ierr = MatAssemblyEnd(B,MAT_FINAL_ASSEMBLY);CHKERRQ(ierr);
99c4762a1bSJed Brown   }
100c4762a1bSJed Brown   PetscFunctionReturn(0);
101c4762a1bSJed Brown }
102c4762a1bSJed Brown 
103c4762a1bSJed Brown int main(int argc,char **argv)
104c4762a1bSJed Brown {
105c4762a1bSJed Brown   TS             ts;            /* ODE integrator */
106c4762a1bSJed Brown   Vec            Y;             /* solution will be stored here */
107c4762a1bSJed Brown   Mat            A;             /* Jacobian matrix */
108c4762a1bSJed Brown   PetscErrorCode ierr;
109c4762a1bSJed Brown   PetscMPIInt    size;
110c4762a1bSJed Brown   PetscInt       n = 5;
111c4762a1bSJed Brown   PetscScalar    *y;
112c4762a1bSJed Brown 
113c4762a1bSJed Brown   /* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
114c4762a1bSJed Brown      Initialize program
115c4762a1bSJed Brown      - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */
116c4762a1bSJed Brown   ierr = PetscInitialize(&argc,&argv,(char*)0,help);if (ierr) return ierr;
117c4762a1bSJed Brown   ierr = MPI_Comm_size(PETSC_COMM_WORLD,&size);CHKERRQ(ierr);
118c4762a1bSJed Brown   if (size > 1) SETERRQ(PETSC_COMM_WORLD,PETSC_ERR_SUP,"Only for sequential runs");
119c4762a1bSJed Brown 
120c4762a1bSJed Brown   /* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
121c4762a1bSJed Brown     Create necessary matrix and vectors
122c4762a1bSJed Brown     - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */
123c4762a1bSJed Brown   ierr = MatCreate(PETSC_COMM_WORLD,&A);CHKERRQ(ierr);
124c4762a1bSJed Brown   ierr = MatSetSizes(A,n,n,PETSC_DETERMINE,PETSC_DETERMINE);CHKERRQ(ierr);
125c4762a1bSJed Brown   ierr = MatSetFromOptions(A);CHKERRQ(ierr);
126c4762a1bSJed Brown   ierr = MatSetUp(A);CHKERRQ(ierr);
127c4762a1bSJed Brown 
128c4762a1bSJed Brown   ierr = MatCreateVecs(A,&Y,NULL);CHKERRQ(ierr);
129c4762a1bSJed Brown 
130c4762a1bSJed Brown   ierr = VecGetArray(Y,&y);CHKERRQ(ierr);
131c4762a1bSJed Brown   y[0] = 0.0;
132c4762a1bSJed Brown   y[1] = 3.0;
133c4762a1bSJed Brown   y[2] = y[1];
134c4762a1bSJed Brown   y[3] = 6.0;
135c4762a1bSJed Brown   y[4] = 0.0;
136c4762a1bSJed Brown   ierr = VecRestoreArray(Y,&y);CHKERRQ(ierr);
137c4762a1bSJed Brown 
138c4762a1bSJed Brown   /* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
139c4762a1bSJed Brown      Create timestepping solver context
140c4762a1bSJed Brown      - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */
141c4762a1bSJed Brown   ierr = TSCreate(PETSC_COMM_WORLD,&ts);CHKERRQ(ierr);
142c4762a1bSJed Brown   ierr = TSSetProblemType(ts,TS_NONLINEAR);CHKERRQ(ierr);
143c4762a1bSJed Brown   ierr = TSSetType(ts,TSARKIMEX);CHKERRQ(ierr);
144c4762a1bSJed Brown   ierr = TSSetEquationType(ts,TS_EQ_DAE_IMPLICIT_INDEX1);CHKERRQ(ierr);
145c4762a1bSJed Brown   ierr = TSARKIMEXSetFullyImplicit(ts,PETSC_TRUE);CHKERRQ(ierr);
146c4762a1bSJed Brown   /*ierr = TSSetType(ts,TSROSW);CHKERRQ(ierr);*/
147c4762a1bSJed Brown   ierr = TSSetIFunction(ts,NULL,IFunctionImplicit,NULL);CHKERRQ(ierr);
148c4762a1bSJed Brown   ierr = TSSetIJacobian(ts,A,A,IJacobianImplicit,NULL);CHKERRQ(ierr);
149c4762a1bSJed Brown 
150c4762a1bSJed Brown   /* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
151c4762a1bSJed Brown      Set initial conditions
152c4762a1bSJed Brown    - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */
153c4762a1bSJed Brown   ierr = TSSetSolution(ts,Y);CHKERRQ(ierr);
154c4762a1bSJed Brown 
155c4762a1bSJed Brown   /* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
156c4762a1bSJed Brown      Set solver options
157c4762a1bSJed Brown    - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */
158c4762a1bSJed Brown   ierr = TSSetMaxTime(ts,0.15);CHKERRQ(ierr);
159c4762a1bSJed Brown   ierr = TSSetExactFinalTime(ts,TS_EXACTFINALTIME_STEPOVER);CHKERRQ(ierr);
160c4762a1bSJed Brown   ierr = TSSetTimeStep(ts,.001);CHKERRQ(ierr);
161c4762a1bSJed Brown   ierr = TSSetFromOptions(ts);CHKERRQ(ierr);
162c4762a1bSJed Brown 
163c4762a1bSJed Brown   /* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
164c4762a1bSJed Brown      Do time stepping
165c4762a1bSJed Brown      - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */
166c4762a1bSJed Brown   ierr = TSSolve(ts,Y);CHKERRQ(ierr);
167c4762a1bSJed Brown 
168c4762a1bSJed Brown   /* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
169c4762a1bSJed Brown      Free work space.  All PETSc objects should be destroyed when they are no longer needed.
170c4762a1bSJed Brown    - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */
171c4762a1bSJed Brown   ierr = MatDestroy(&A);CHKERRQ(ierr);
172c4762a1bSJed Brown   ierr = VecDestroy(&Y);CHKERRQ(ierr);
173c4762a1bSJed Brown   ierr = TSDestroy(&ts);CHKERRQ(ierr);
174c4762a1bSJed Brown   ierr = PetscFinalize();
175c4762a1bSJed Brown   return ierr;
176c4762a1bSJed Brown }
177c4762a1bSJed Brown 
178c4762a1bSJed Brown /*TEST
179c4762a1bSJed Brown     build:
180c4762a1bSJed Brown       requires: !single !complex
181c4762a1bSJed Brown     test:
182c4762a1bSJed Brown 
183c4762a1bSJed Brown TEST*/
184