xref: /petsc/src/ts/tutorials/ex36.c (revision c4762a1b19cd2af06abeed90e8f9d34fb975dd94)
1*c4762a1bSJed Brown 
2*c4762a1bSJed Brown static char help[] = "Transistor amplifier.\n";
3*c4762a1bSJed Brown 
4*c4762a1bSJed Brown /*F
5*c4762a1bSJed Brown   M y'=f(t,y)
6*c4762a1bSJed Brown 
7*c4762a1bSJed Brown   Useful options: -ts_monitor_lg_solution -ts_monitor_lg_timestep -lg_indicate_data_points 0
8*c4762a1bSJed Brown F*/
9*c4762a1bSJed Brown 
10*c4762a1bSJed Brown /*
11*c4762a1bSJed Brown    Include "petscts.h" so that we can use TS solvers.  Note that this
12*c4762a1bSJed Brown    file automatically includes:
13*c4762a1bSJed Brown      petscsys.h       - base PETSc routines   petscvec.h - vectors
14*c4762a1bSJed Brown      petscmat.h - matrices
15*c4762a1bSJed Brown      petscis.h     - index sets            petscksp.h - Krylov subspace methods
16*c4762a1bSJed Brown      petscviewer.h - viewers               petscpc.h  - preconditioners
17*c4762a1bSJed Brown      petscksp.h   - linear solvers
18*c4762a1bSJed Brown */
19*c4762a1bSJed Brown #include <petscts.h>
20*c4762a1bSJed Brown 
21*c4762a1bSJed Brown FILE *gfilepointer_data,*gfilepointer_info;
22*c4762a1bSJed Brown 
23*c4762a1bSJed Brown /* Defines the source  */
24*c4762a1bSJed Brown PetscErrorCode Ue(PetscScalar t,PetscScalar *U)
25*c4762a1bSJed Brown {
26*c4762a1bSJed Brown   PetscFunctionBegin;
27*c4762a1bSJed Brown   * U = 0.4*PetscSinReal(200*PETSC_PI*t);
28*c4762a1bSJed Brown   PetscFunctionReturn(0);
29*c4762a1bSJed Brown }
30*c4762a1bSJed Brown 
31*c4762a1bSJed Brown 
32*c4762a1bSJed Brown /*
33*c4762a1bSJed Brown      Defines the DAE passed to the time solver
34*c4762a1bSJed Brown */
35*c4762a1bSJed Brown static PetscErrorCode IFunctionImplicit(TS ts,PetscReal t,Vec Y,Vec Ydot,Vec F,void *ctx)
36*c4762a1bSJed Brown {
37*c4762a1bSJed Brown   PetscErrorCode    ierr;
38*c4762a1bSJed Brown   const PetscScalar *y,*ydot;
39*c4762a1bSJed Brown   PetscScalar       *f;
40*c4762a1bSJed Brown 
41*c4762a1bSJed Brown   PetscFunctionBegin;
42*c4762a1bSJed Brown   /*  The next three lines allow us to access the entries of the vectors directly */
43*c4762a1bSJed Brown   ierr = VecGetArrayRead(Y,&y);CHKERRQ(ierr);
44*c4762a1bSJed Brown   ierr = VecGetArrayRead(Ydot,&ydot);CHKERRQ(ierr);
45*c4762a1bSJed Brown   ierr = VecGetArray(F,&f);CHKERRQ(ierr);
46*c4762a1bSJed Brown 
47*c4762a1bSJed Brown   f[0]= PetscSinReal(200*PETSC_PI*t)/2500. - y[0]/1000. - ydot[0]/1.e6 + ydot[1]/1.e6;
48*c4762a1bSJed 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;
49*c4762a1bSJed Brown   f[2]=-1.e-6 +  PetscExpReal((500*(y[1] - y[2]))/13.)/1.e6 - y[2]/9000. - ydot[2]/500000.;
50*c4762a1bSJed 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;
51*c4762a1bSJed Brown   f[4]=-y[4]/9000. + (3*ydot[3])/1.e6 - (3*ydot[4])/1.e6;
52*c4762a1bSJed Brown 
53*c4762a1bSJed Brown   ierr = VecRestoreArrayRead(Y,&y);CHKERRQ(ierr);
54*c4762a1bSJed Brown   ierr = VecRestoreArrayRead(Ydot,&ydot);CHKERRQ(ierr);
55*c4762a1bSJed Brown   ierr = VecRestoreArray(F,&f);CHKERRQ(ierr);
56*c4762a1bSJed Brown   PetscFunctionReturn(0);
57*c4762a1bSJed Brown }
58*c4762a1bSJed Brown 
59*c4762a1bSJed Brown /*
60*c4762a1bSJed Brown      Defines the Jacobian of the ODE passed to the ODE solver. See TSSetIJacobian() for the meaning of a and the Jacobian.
61*c4762a1bSJed Brown */
62*c4762a1bSJed Brown static PetscErrorCode IJacobianImplicit(TS ts,PetscReal t,Vec Y,Vec Ydot,PetscReal a,Mat A,Mat B,void *ctx)
63*c4762a1bSJed Brown {
64*c4762a1bSJed Brown   PetscErrorCode    ierr;
65*c4762a1bSJed Brown   PetscInt          rowcol[] = {0,1,2,3,4};
66*c4762a1bSJed Brown   const PetscScalar *y,*ydot;
67*c4762a1bSJed Brown   PetscScalar       J[5][5];
68*c4762a1bSJed Brown 
69*c4762a1bSJed Brown   PetscFunctionBegin;
70*c4762a1bSJed Brown   ierr = VecGetArrayRead(Y,&y);CHKERRQ(ierr);
71*c4762a1bSJed Brown   ierr = VecGetArrayRead(Ydot,&ydot);CHKERRQ(ierr);
72*c4762a1bSJed Brown 
73*c4762a1bSJed Brown   ierr = PetscMemzero(J,sizeof(J));CHKERRQ(ierr);
74*c4762a1bSJed Brown 
75*c4762a1bSJed Brown   J[0][0]=-0.001 - a/1.e6;
76*c4762a1bSJed Brown   J[0][1]=a/1.e6;
77*c4762a1bSJed Brown   J[1][0]=a/1.e6;
78*c4762a1bSJed Brown   J[1][1]=-0.00022222222222222223 - a/1.e6 -  PetscExpReal((500*(y[1] - y[2]))/13.)/2.6e6;
79*c4762a1bSJed Brown   J[1][2]= PetscExpReal((500*(y[1] - y[2]))/13.)/2.6e6;
80*c4762a1bSJed Brown   J[2][1]= PetscExpReal((500*(y[1] - y[2]))/13.)/26000.;
81*c4762a1bSJed Brown   J[2][2]=-0.00011111111111111112 - a/500000. -  PetscExpReal((500*(y[1] - y[2]))/13.)/26000.;
82*c4762a1bSJed Brown   J[3][1]=(-99* PetscExpReal((500*(y[1] - y[2]))/13.))/2.6e6;
83*c4762a1bSJed Brown   J[3][2]=(99* PetscExpReal((500*(y[1] - y[2]))/13.))/2.6e6;
84*c4762a1bSJed Brown   J[3][3]=-0.00011111111111111112 - (3*a)/1.e6;
85*c4762a1bSJed Brown   J[3][4]=(3*a)/1.e6;
86*c4762a1bSJed Brown   J[4][3]=(3*a)/1.e6;
87*c4762a1bSJed Brown   J[4][4]=-0.00011111111111111112 - (3*a)/1.e6;
88*c4762a1bSJed Brown 
89*c4762a1bSJed Brown 
90*c4762a1bSJed Brown   ierr = MatSetValues(B,5,rowcol,5,rowcol,&J[0][0],INSERT_VALUES);CHKERRQ(ierr);
91*c4762a1bSJed Brown 
92*c4762a1bSJed Brown   ierr = VecRestoreArrayRead(Y,&y);CHKERRQ(ierr);
93*c4762a1bSJed Brown   ierr = VecRestoreArrayRead(Ydot,&ydot);CHKERRQ(ierr);
94*c4762a1bSJed Brown 
95*c4762a1bSJed Brown   ierr = MatAssemblyBegin(A,MAT_FINAL_ASSEMBLY);CHKERRQ(ierr);
96*c4762a1bSJed Brown   ierr = MatAssemblyEnd(A,MAT_FINAL_ASSEMBLY);CHKERRQ(ierr);
97*c4762a1bSJed Brown   if (A != B) {
98*c4762a1bSJed Brown     ierr = MatAssemblyBegin(B,MAT_FINAL_ASSEMBLY);CHKERRQ(ierr);
99*c4762a1bSJed Brown     ierr = MatAssemblyEnd(B,MAT_FINAL_ASSEMBLY);CHKERRQ(ierr);
100*c4762a1bSJed Brown   }
101*c4762a1bSJed Brown   PetscFunctionReturn(0);
102*c4762a1bSJed Brown }
103*c4762a1bSJed Brown 
104*c4762a1bSJed Brown int main(int argc,char **argv)
105*c4762a1bSJed Brown {
106*c4762a1bSJed Brown   TS             ts;            /* ODE integrator */
107*c4762a1bSJed Brown   Vec            Y;             /* solution will be stored here */
108*c4762a1bSJed Brown   Mat            A;             /* Jacobian matrix */
109*c4762a1bSJed Brown   PetscErrorCode ierr;
110*c4762a1bSJed Brown   PetscMPIInt    size;
111*c4762a1bSJed Brown   PetscInt       n = 5;
112*c4762a1bSJed Brown   PetscScalar    *y;
113*c4762a1bSJed Brown 
114*c4762a1bSJed Brown   /* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
115*c4762a1bSJed Brown      Initialize program
116*c4762a1bSJed Brown      - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */
117*c4762a1bSJed Brown   ierr = PetscInitialize(&argc,&argv,(char*)0,help);if (ierr) return ierr;
118*c4762a1bSJed Brown   ierr = MPI_Comm_size(PETSC_COMM_WORLD,&size);CHKERRQ(ierr);
119*c4762a1bSJed Brown   if (size > 1) SETERRQ(PETSC_COMM_WORLD,PETSC_ERR_SUP,"Only for sequential runs");
120*c4762a1bSJed Brown 
121*c4762a1bSJed Brown   /* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
122*c4762a1bSJed Brown     Create necessary matrix and vectors
123*c4762a1bSJed Brown     - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */
124*c4762a1bSJed Brown   ierr = MatCreate(PETSC_COMM_WORLD,&A);CHKERRQ(ierr);
125*c4762a1bSJed Brown   ierr = MatSetSizes(A,n,n,PETSC_DETERMINE,PETSC_DETERMINE);CHKERRQ(ierr);
126*c4762a1bSJed Brown   ierr = MatSetFromOptions(A);CHKERRQ(ierr);
127*c4762a1bSJed Brown   ierr = MatSetUp(A);CHKERRQ(ierr);
128*c4762a1bSJed Brown 
129*c4762a1bSJed Brown   ierr = MatCreateVecs(A,&Y,NULL);CHKERRQ(ierr);
130*c4762a1bSJed Brown 
131*c4762a1bSJed Brown   ierr = VecGetArray(Y,&y);CHKERRQ(ierr);
132*c4762a1bSJed Brown   y[0] = 0.0;
133*c4762a1bSJed Brown   y[1] = 3.0;
134*c4762a1bSJed Brown   y[2] = y[1];
135*c4762a1bSJed Brown   y[3] = 6.0;
136*c4762a1bSJed Brown   y[4] = 0.0;
137*c4762a1bSJed Brown   ierr = VecRestoreArray(Y,&y);CHKERRQ(ierr);
138*c4762a1bSJed Brown 
139*c4762a1bSJed Brown   /* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
140*c4762a1bSJed Brown      Create timestepping solver context
141*c4762a1bSJed Brown      - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */
142*c4762a1bSJed Brown   ierr = TSCreate(PETSC_COMM_WORLD,&ts);CHKERRQ(ierr);
143*c4762a1bSJed Brown   ierr = TSSetProblemType(ts,TS_NONLINEAR);CHKERRQ(ierr);
144*c4762a1bSJed Brown   ierr = TSSetType(ts,TSARKIMEX);CHKERRQ(ierr);
145*c4762a1bSJed Brown   ierr = TSSetEquationType(ts,TS_EQ_DAE_IMPLICIT_INDEX1);CHKERRQ(ierr);
146*c4762a1bSJed Brown   ierr = TSARKIMEXSetFullyImplicit(ts,PETSC_TRUE);CHKERRQ(ierr);
147*c4762a1bSJed Brown   /*ierr = TSSetType(ts,TSROSW);CHKERRQ(ierr);*/
148*c4762a1bSJed Brown   ierr = TSSetIFunction(ts,NULL,IFunctionImplicit,NULL);CHKERRQ(ierr);
149*c4762a1bSJed Brown   ierr = TSSetIJacobian(ts,A,A,IJacobianImplicit,NULL);CHKERRQ(ierr);
150*c4762a1bSJed Brown 
151*c4762a1bSJed Brown   /* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
152*c4762a1bSJed Brown      Set initial conditions
153*c4762a1bSJed Brown    - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */
154*c4762a1bSJed Brown   ierr = TSSetSolution(ts,Y);CHKERRQ(ierr);
155*c4762a1bSJed Brown 
156*c4762a1bSJed Brown   /* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
157*c4762a1bSJed Brown      Set solver options
158*c4762a1bSJed Brown    - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */
159*c4762a1bSJed Brown   ierr = TSSetMaxTime(ts,0.15);CHKERRQ(ierr);
160*c4762a1bSJed Brown   ierr = TSSetExactFinalTime(ts,TS_EXACTFINALTIME_STEPOVER);CHKERRQ(ierr);
161*c4762a1bSJed Brown   ierr = TSSetTimeStep(ts,.001);CHKERRQ(ierr);
162*c4762a1bSJed Brown   ierr = TSSetFromOptions(ts);CHKERRQ(ierr);
163*c4762a1bSJed Brown 
164*c4762a1bSJed Brown   /* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
165*c4762a1bSJed Brown      Do time stepping
166*c4762a1bSJed Brown      - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */
167*c4762a1bSJed Brown   ierr = TSSolve(ts,Y);CHKERRQ(ierr);
168*c4762a1bSJed Brown 
169*c4762a1bSJed Brown   /* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
170*c4762a1bSJed Brown      Free work space.  All PETSc objects should be destroyed when they are no longer needed.
171*c4762a1bSJed Brown    - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */
172*c4762a1bSJed Brown   ierr = MatDestroy(&A);CHKERRQ(ierr);
173*c4762a1bSJed Brown   ierr = VecDestroy(&Y);CHKERRQ(ierr);
174*c4762a1bSJed Brown   ierr = TSDestroy(&ts);CHKERRQ(ierr);
175*c4762a1bSJed Brown   ierr = PetscFinalize();
176*c4762a1bSJed Brown   return ierr;
177*c4762a1bSJed Brown }
178*c4762a1bSJed Brown 
179*c4762a1bSJed Brown /*TEST
180*c4762a1bSJed Brown     build:
181*c4762a1bSJed Brown       requires: !single !complex
182*c4762a1bSJed Brown     test:
183*c4762a1bSJed Brown 
184*c4762a1bSJed Brown TEST*/
185