xref: /petsc/src/ts/tutorials/advection-diffusion-reaction/ex5.c (revision d0e6bf2ad94dcc89b258ce16c7987200a4714786)
1c4762a1bSJed Brown static char help[] = "Demonstrates Pattern Formation with Reaction-Diffusion Equations.\n";
2c4762a1bSJed Brown 
3c4762a1bSJed Brown /*F
4c4762a1bSJed Brown      This example is taken from the book, Numerical Solution of Time-Dependent Advection-Diffusion-Reaction Equations by
5c4762a1bSJed Brown       W. Hundsdorf and J.G. Verwer,  Page 21, Pattern Formation with Reaction-Diffusion Equations
6c4762a1bSJed Brown \begin{eqnarray*}
7c4762a1bSJed Brown         u_t = D_1 (u_{xx} + u_{yy})  - u*v^2 + \gamma(1 -u)           \\
8c4762a1bSJed Brown         v_t = D_2 (v_{xx} + v_{yy})  + u*v^2 - (\gamma + \kappa)v
9c4762a1bSJed Brown \end{eqnarray*}
10c4762a1bSJed Brown     Unlike in the book this uses periodic boundary conditions instead of Neumann
11c4762a1bSJed Brown     (since they are easier for finite differences).
12c4762a1bSJed Brown F*/
13c4762a1bSJed Brown 
14c4762a1bSJed Brown /*
15c4762a1bSJed Brown       Helpful runtime monitor options:
16c4762a1bSJed Brown            -ts_monitor_draw_solution
17c4762a1bSJed Brown            -draw_save -draw_save_movie
18c4762a1bSJed Brown 
19c4762a1bSJed Brown       Helpful runtime linear solver options:
20c4762a1bSJed Brown            -pc_type mg -pc_mg_galerkin pmat -da_refine 1 -snes_monitor -ksp_monitor -ts_view  (note that these Jacobians are so well-conditioned multigrid may not be the best solver)
21c4762a1bSJed Brown 
22c4762a1bSJed Brown       Point your browser to localhost:8080 to monitor the simulation
23c4762a1bSJed Brown            ./ex5  -ts_view_pre saws  -stack_view saws -draw_save -draw_save_single_file -x_virtual -ts_monitor_draw_solution -saws_root .
24c4762a1bSJed Brown 
25c4762a1bSJed Brown */
26c4762a1bSJed Brown 
27c4762a1bSJed Brown /*
28c4762a1bSJed Brown 
29c4762a1bSJed Brown    Include "petscdmda.h" so that we can use distributed arrays (DMDAs).
30c4762a1bSJed Brown    Include "petscts.h" so that we can use SNES numerical (ODE) integrators.  Note that this
31c4762a1bSJed Brown    file automatically includes:
32c4762a1bSJed Brown      petscsys.h       - base PETSc routines   petscvec.h  - vectors
33c4762a1bSJed Brown      petscmat.h - matrices                    petscis.h   - index sets
34c4762a1bSJed Brown      petscksp.h - Krylov subspace methods     petscpc.h   - preconditioners
35c4762a1bSJed Brown      petscviewer.h - viewers                  petscsnes.h - nonlinear solvers
36c4762a1bSJed Brown */
3760f0b76eSHong Zhang #include "reaction_diffusion.h"
38c4762a1bSJed Brown #include <petscdm.h>
39c4762a1bSJed Brown #include <petscdmda.h>
40c4762a1bSJed Brown 
4160f0b76eSHong Zhang /* ------------------------------------------------------------------- */
InitialConditions(DM da,Vec U)42d71ae5a4SJacob Faibussowitsch PetscErrorCode InitialConditions(DM da, Vec U)
43d71ae5a4SJacob Faibussowitsch {
4460f0b76eSHong Zhang   PetscInt  i, j, xs, ys, xm, ym, Mx, My;
4560f0b76eSHong Zhang   Field   **u;
4660f0b76eSHong Zhang   PetscReal hx, hy, x, y;
47c4762a1bSJed Brown 
4860f0b76eSHong Zhang   PetscFunctionBegin;
499566063dSJacob Faibussowitsch   PetscCall(DMDAGetInfo(da, PETSC_IGNORE, &Mx, &My, PETSC_IGNORE, PETSC_IGNORE, PETSC_IGNORE, PETSC_IGNORE, PETSC_IGNORE, PETSC_IGNORE, PETSC_IGNORE, PETSC_IGNORE, PETSC_IGNORE, PETSC_IGNORE));
5060f0b76eSHong Zhang 
51*57508eceSPierre Jolivet   hx = 2.5 / (PetscReal)Mx;
52*57508eceSPierre Jolivet   hy = 2.5 / (PetscReal)My;
53c4762a1bSJed Brown 
54c4762a1bSJed Brown   /*
5560f0b76eSHong Zhang      Get pointers to actual vector data
56c4762a1bSJed Brown   */
579566063dSJacob Faibussowitsch   PetscCall(DMDAVecGetArray(da, U, &u));
5860f0b76eSHong Zhang 
5960f0b76eSHong Zhang   /*
6060f0b76eSHong Zhang      Get local grid boundaries
6160f0b76eSHong Zhang   */
629566063dSJacob Faibussowitsch   PetscCall(DMDAGetCorners(da, &xs, &ys, NULL, &xm, &ym, NULL));
6360f0b76eSHong Zhang 
6460f0b76eSHong Zhang   /*
6560f0b76eSHong Zhang      Compute function over the locally owned part of the grid
6660f0b76eSHong Zhang   */
6760f0b76eSHong Zhang   for (j = ys; j < ys + ym; j++) {
6860f0b76eSHong Zhang     y = j * hy;
6960f0b76eSHong Zhang     for (i = xs; i < xs + xm; i++) {
7060f0b76eSHong Zhang       x = i * hx;
719371c9d4SSatish Balay       if (PetscApproximateGTE(x, 1.0) && PetscApproximateLTE(x, 1.5) && PetscApproximateGTE(y, 1.0) && PetscApproximateLTE(y, 1.5))
729371c9d4SSatish Balay         u[j][i].v = PetscPowReal(PetscSinReal(4.0 * PETSC_PI * x), 2.0) * PetscPowReal(PetscSinReal(4.0 * PETSC_PI * y), 2.0) / 4.0;
7360f0b76eSHong Zhang       else u[j][i].v = 0.0;
7460f0b76eSHong Zhang 
7560f0b76eSHong Zhang       u[j][i].u = 1.0 - 2.0 * u[j][i].v;
7660f0b76eSHong Zhang     }
7760f0b76eSHong Zhang   }
7860f0b76eSHong Zhang 
7960f0b76eSHong Zhang   /*
8060f0b76eSHong Zhang      Restore access to vector
8160f0b76eSHong Zhang   */
829566063dSJacob Faibussowitsch   PetscCall(DMDAVecRestoreArray(da, U, &u));
833ba16761SJacob Faibussowitsch   PetscFunctionReturn(PETSC_SUCCESS);
8460f0b76eSHong Zhang }
85c4762a1bSJed Brown 
main(int argc,char ** argv)86d71ae5a4SJacob Faibussowitsch int main(int argc, char **argv)
87d71ae5a4SJacob Faibussowitsch {
88c4762a1bSJed Brown   TS     ts; /* ODE integrator */
89c4762a1bSJed Brown   Vec    x;  /* solution */
90c4762a1bSJed Brown   DM     da;
91c4762a1bSJed Brown   AppCtx appctx;
92c4762a1bSJed Brown 
93c4762a1bSJed Brown   /* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
94c4762a1bSJed Brown      Initialize program
95c4762a1bSJed Brown      - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */
96327415f7SBarry Smith   PetscFunctionBeginUser;
97c8025a54SPierre Jolivet   PetscCall(PetscInitialize(&argc, &argv, NULL, help));
98c4762a1bSJed Brown   appctx.D1    = 8.0e-5;
99c4762a1bSJed Brown   appctx.D2    = 4.0e-5;
100c4762a1bSJed Brown   appctx.gamma = .024;
101c4762a1bSJed Brown   appctx.kappa = .06;
10260f0b76eSHong Zhang   appctx.aijpc = PETSC_FALSE;
103c4762a1bSJed Brown 
104c4762a1bSJed Brown   /* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
105c4762a1bSJed Brown      Create distributed array (DMDA) to manage parallel grid and vectors
106c4762a1bSJed Brown   - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */
1079566063dSJacob Faibussowitsch   PetscCall(DMDACreate2d(PETSC_COMM_WORLD, DM_BOUNDARY_PERIODIC, DM_BOUNDARY_PERIODIC, DMDA_STENCIL_STAR, 65, 65, PETSC_DECIDE, PETSC_DECIDE, 2, 1, NULL, NULL, &da));
1089566063dSJacob Faibussowitsch   PetscCall(DMSetFromOptions(da));
1099566063dSJacob Faibussowitsch   PetscCall(DMSetUp(da));
1109566063dSJacob Faibussowitsch   PetscCall(DMDASetFieldName(da, 0, "u"));
1119566063dSJacob Faibussowitsch   PetscCall(DMDASetFieldName(da, 1, "v"));
112c4762a1bSJed Brown 
113c4762a1bSJed Brown   /*  - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
114c4762a1bSJed Brown      Create global vector from DMDA; this will be used to store the solution
115c4762a1bSJed Brown    - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */
1169566063dSJacob Faibussowitsch   PetscCall(DMCreateGlobalVector(da, &x));
117c4762a1bSJed Brown 
118c4762a1bSJed Brown   /* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
119c4762a1bSJed Brown      Create timestepping solver context
120c4762a1bSJed Brown      - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */
1219566063dSJacob Faibussowitsch   PetscCall(TSCreate(PETSC_COMM_WORLD, &ts));
1229566063dSJacob Faibussowitsch   PetscCall(TSSetType(ts, TSARKIMEX));
1239566063dSJacob Faibussowitsch   PetscCall(TSARKIMEXSetFullyImplicit(ts, PETSC_TRUE));
1249566063dSJacob Faibussowitsch   PetscCall(TSSetDM(ts, da));
1259566063dSJacob Faibussowitsch   PetscCall(TSSetProblemType(ts, TS_NONLINEAR));
1269566063dSJacob Faibussowitsch   PetscCall(TSSetRHSFunction(ts, NULL, RHSFunction, &appctx));
1279566063dSJacob Faibussowitsch   PetscCall(TSSetRHSJacobian(ts, NULL, NULL, RHSJacobian, &appctx));
128c4762a1bSJed Brown 
129c4762a1bSJed Brown   /* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
130c4762a1bSJed Brown      Set initial conditions
131c4762a1bSJed Brown    - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */
1329566063dSJacob Faibussowitsch   PetscCall(InitialConditions(da, x));
1339566063dSJacob Faibussowitsch   PetscCall(TSSetSolution(ts, x));
134c4762a1bSJed Brown 
135c4762a1bSJed Brown   /* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
136c4762a1bSJed Brown      Set solver options
137c4762a1bSJed Brown    - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */
1389566063dSJacob Faibussowitsch   PetscCall(TSSetMaxTime(ts, 2000.0));
1399566063dSJacob Faibussowitsch   PetscCall(TSSetTimeStep(ts, .0001));
1409566063dSJacob Faibussowitsch   PetscCall(TSSetExactFinalTime(ts, TS_EXACTFINALTIME_STEPOVER));
1419566063dSJacob Faibussowitsch   PetscCall(TSSetFromOptions(ts));
142c4762a1bSJed Brown 
143c4762a1bSJed Brown   /* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
144c4762a1bSJed Brown      Solve ODE system
145c4762a1bSJed Brown      - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */
1469566063dSJacob Faibussowitsch   PetscCall(TSSolve(ts, x));
147c4762a1bSJed Brown 
148c4762a1bSJed Brown   /* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
149c4762a1bSJed Brown      Free work space.
150c4762a1bSJed Brown    - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */
1519566063dSJacob Faibussowitsch   PetscCall(VecDestroy(&x));
1529566063dSJacob Faibussowitsch   PetscCall(TSDestroy(&ts));
1539566063dSJacob Faibussowitsch   PetscCall(DMDestroy(&da));
154c4762a1bSJed Brown 
1559566063dSJacob Faibussowitsch   PetscCall(PetscFinalize());
156b122ec5aSJacob Faibussowitsch   return 0;
157c4762a1bSJed Brown }
158c4762a1bSJed Brown 
159c4762a1bSJed Brown /*TEST
160c4762a1bSJed Brown 
16160f0b76eSHong Zhang    build:
16260f0b76eSHong Zhang      depends: reaction_diffusion.c
16360f0b76eSHong Zhang 
164c4762a1bSJed Brown    test:
165c4762a1bSJed Brown       args: -ts_view -ts_monitor -ts_max_time 500
166c4762a1bSJed Brown       requires: double
167c4762a1bSJed Brown       timeoutfactor: 3
168c4762a1bSJed Brown 
169c4762a1bSJed Brown    test:
170c4762a1bSJed Brown       suffix: 2
171c4762a1bSJed Brown       args: -ts_view -ts_monitor -ts_max_time 500 -ts_monitor_draw_solution
172c4762a1bSJed Brown       requires: x double
173c4762a1bSJed Brown       output_file: output/ex5_1.out
174c4762a1bSJed Brown       timeoutfactor: 3
175c4762a1bSJed Brown 
176c4762a1bSJed Brown TEST*/
177