xref: /petsc/src/ts/tutorials/advection-diffusion-reaction/ex1.c (revision 8434afd195968570cfdb5bc7b9cfc0a316d974ae)
1c4762a1bSJed Brown static char help[] = "Nonlinear Reaction Problem from Chemistry.\n";
2c4762a1bSJed Brown 
3c4762a1bSJed Brown /*F
4c4762a1bSJed Brown 
5c4762a1bSJed Brown      This directory contains examples based on the PDES/ODES given in the book
6c4762a1bSJed Brown       Numerical Solution of Time-Dependent Advection-Diffusion-Reaction Equations by
7c4762a1bSJed Brown       W. Hundsdorf and J.G. Verwer
8c4762a1bSJed Brown 
9c4762a1bSJed Brown      Page 3, Section 1.1 Nonlinear Reaction Problems from Chemistry
10c4762a1bSJed Brown 
11c4762a1bSJed Brown \begin{eqnarray}
12c4762a1bSJed Brown                  {U_1}_t  - k U_1 U_2  & = & 0 \\
13c4762a1bSJed Brown                  {U_2}_t  - k U_1 U_2 & = & 0 \\
14c4762a1bSJed Brown                  {U_3}_t  - k U_1 U_2 & = & 0
15c4762a1bSJed Brown \end{eqnarray}
16c4762a1bSJed Brown 
17c4762a1bSJed Brown      Helpful runtime monitoring options:
18c4762a1bSJed Brown          -ts_view                  -  prints information about the solver being used
19da81f932SPierre Jolivet          -ts_monitor               -  prints the progress of the solver
20c4762a1bSJed Brown          -ts_adapt_monitor         -  prints the progress of the time-step adaptor
21c4762a1bSJed Brown          -ts_monitor_lg_timestep   -  plots the size of each timestep (at each time-step)
22c4762a1bSJed Brown          -ts_monitor_lg_solution   -  plots each component of the solution as a function of time (at each timestep)
23c4762a1bSJed Brown          -ts_monitor_lg_error      -  plots each component of the error in the solution as a function of time (at each timestep)
24c4762a1bSJed Brown          -draw_pause -2            -  hold the plots a the end of the solution process, enter a mouse press in each window to end the process
25c4762a1bSJed Brown 
26c4762a1bSJed Brown          -ts_monitor_lg_timestep -1  -  plots the size of each timestep (at the end of the solution process)
27c4762a1bSJed Brown          -ts_monitor_lg_solution -1  -  plots each component of the solution as a function of time (at the end of the solution process)
28c4762a1bSJed Brown          -ts_monitor_lg_error -1     -  plots each component of the error in the solution as a function of time (at the end of the solution process)
29c4762a1bSJed Brown          -lg_use_markers false       -  do NOT show the data points on the plots
30c4762a1bSJed Brown          -draw_save                  -  save the timestep and solution plot as a .Gif image file
31c4762a1bSJed Brown 
32c4762a1bSJed Brown F*/
33c4762a1bSJed Brown 
34c4762a1bSJed Brown /*
3535cb6cd3SPierre Jolivet       Project: Generate a nicely formatted HTML page using
36c4762a1bSJed Brown          1) the HTML version of the source code and text in this file, use make html to generate the file ex1.c.html
371baa6e33SBarry Smith          2) the images (Draw_XXX_0_0.Gif Draw_YYY_0_0.Gif Draw_$_1_0.Gif) and
38c4762a1bSJed Brown          3) the text output (output.txt) generated by running the following commands.
39c4762a1bSJed Brown          4) <iframe src="generated_topics.html" scrolling="no" frameborder="0"  width=600 height=300></iframe>
40c4762a1bSJed Brown 
41c4762a1bSJed Brown       rm -rf *.Gif
42c4762a1bSJed Brown       ./ex1 -ts_monitor_lg_error -1 -ts_monitor_lg_solution -1   -draw_pause -2 -ts_max_steps 100 -ts_monitor_lg_timestep -1 -draw_save -draw_virtual -ts_monitor -ts_adapt_monitor -ts_view  > output.txt
43c4762a1bSJed Brown 
44c4762a1bSJed Brown       For example something like
45c4762a1bSJed Brown <!DOCTYPE HTML PUBLIC "-//W3C//DTD HTML 4.01 Transitional//EN">
46c4762a1bSJed Brown <html>
47c4762a1bSJed Brown   <head>
48c4762a1bSJed Brown     <meta http-equiv="content-type" content="text/html;charset=utf-8">
49c4762a1bSJed Brown     <title>PETSc Example -- Nonlinear Reaction Problem from Chemistry</title>
50c4762a1bSJed Brown   </head>
51c4762a1bSJed Brown   <body>
52c4762a1bSJed Brown   <iframe src="ex1.c.html" scrolling="yes" frameborder="1"  width=2000 height=400></iframe>
53c4762a1bSJed Brown   <img alt="" src="Draw_0x84000000_0_0.Gif"/><img alt="" src="Draw_0x84000001_0_0.Gif"/><img alt="" src="Draw_0x84000001_1_0.Gif"/>
54c4762a1bSJed Brown   <iframe src="output.txt" scrolling="yes" frameborder="1"  width=2000 height=1000></iframe>
55c4762a1bSJed Brown   </body>
56c4762a1bSJed Brown </html>
57c4762a1bSJed Brown 
58c4762a1bSJed Brown */
59c4762a1bSJed Brown 
60c4762a1bSJed Brown /*
61c4762a1bSJed Brown    Include "petscts.h" so that we can use TS solvers.  Note that this
62c4762a1bSJed Brown    file automatically includes:
63c4762a1bSJed Brown      petscsys.h       - base PETSc routines   petscvec.h - vectors
64c4762a1bSJed Brown      petscmat.h - matrices
65c4762a1bSJed Brown      petscis.h     - index sets            petscksp.h - Krylov subspace methods
66c4762a1bSJed Brown      petscviewer.h - viewers               petscpc.h  - preconditioners
67c4762a1bSJed Brown      petscksp.h   - linear solvers
68c4762a1bSJed Brown */
69c4762a1bSJed Brown 
70c4762a1bSJed Brown #include <petscts.h>
71c4762a1bSJed Brown 
72c4762a1bSJed Brown typedef struct {
73c4762a1bSJed Brown   PetscScalar k;
74c4762a1bSJed Brown   Vec         initialsolution;
75c4762a1bSJed Brown } AppCtx;
76c4762a1bSJed Brown 
77d71ae5a4SJacob Faibussowitsch PetscErrorCode IFunctionView(AppCtx *ctx, PetscViewer v)
78d71ae5a4SJacob Faibussowitsch {
79c4762a1bSJed Brown   PetscFunctionBegin;
809566063dSJacob Faibussowitsch   PetscCall(PetscViewerBinaryWrite(v, &ctx->k, 1, PETSC_SCALAR));
813ba16761SJacob Faibussowitsch   PetscFunctionReturn(PETSC_SUCCESS);
82c4762a1bSJed Brown }
83c4762a1bSJed Brown 
84d71ae5a4SJacob Faibussowitsch PetscErrorCode IFunctionLoad(AppCtx **ctx, PetscViewer v)
85d71ae5a4SJacob Faibussowitsch {
86c4762a1bSJed Brown   PetscFunctionBegin;
879566063dSJacob Faibussowitsch   PetscCall(PetscNew(ctx));
889566063dSJacob Faibussowitsch   PetscCall(PetscViewerBinaryRead(v, &(*ctx)->k, 1, NULL, PETSC_SCALAR));
893ba16761SJacob Faibussowitsch   PetscFunctionReturn(PETSC_SUCCESS);
90c4762a1bSJed Brown }
91c4762a1bSJed Brown 
92c4762a1bSJed Brown /*
93c4762a1bSJed Brown      Defines the ODE passed to the ODE solver
94c4762a1bSJed Brown */
95d71ae5a4SJacob Faibussowitsch PetscErrorCode IFunction(TS ts, PetscReal t, Vec U, Vec Udot, Vec F, AppCtx *ctx)
96d71ae5a4SJacob Faibussowitsch {
97c4762a1bSJed Brown   PetscScalar       *f;
98c4762a1bSJed Brown   const PetscScalar *u, *udot;
99c4762a1bSJed Brown 
100c4762a1bSJed Brown   PetscFunctionBegin;
101c4762a1bSJed Brown   /*  The next three lines allow us to access the entries of the vectors directly */
1029566063dSJacob Faibussowitsch   PetscCall(VecGetArrayRead(U, &u));
1039566063dSJacob Faibussowitsch   PetscCall(VecGetArrayRead(Udot, &udot));
1049566063dSJacob Faibussowitsch   PetscCall(VecGetArrayWrite(F, &f));
105c4762a1bSJed Brown   f[0] = udot[0] + ctx->k * u[0] * u[1];
106c4762a1bSJed Brown   f[1] = udot[1] + ctx->k * u[0] * u[1];
107c4762a1bSJed Brown   f[2] = udot[2] - ctx->k * u[0] * u[1];
1089566063dSJacob Faibussowitsch   PetscCall(VecRestoreArrayRead(U, &u));
1099566063dSJacob Faibussowitsch   PetscCall(VecRestoreArrayRead(Udot, &udot));
1109566063dSJacob Faibussowitsch   PetscCall(VecRestoreArrayWrite(F, &f));
1113ba16761SJacob Faibussowitsch   PetscFunctionReturn(PETSC_SUCCESS);
112c4762a1bSJed Brown }
113c4762a1bSJed Brown 
114c4762a1bSJed Brown /*
115c4762a1bSJed Brown      Defines the Jacobian of the ODE passed to the ODE solver. See TSSetIJacobian() for the meaning of a and the Jacobian.
116c4762a1bSJed Brown */
117d71ae5a4SJacob Faibussowitsch PetscErrorCode IJacobian(TS ts, PetscReal t, Vec U, Vec Udot, PetscReal a, Mat A, Mat B, AppCtx *ctx)
118d71ae5a4SJacob Faibussowitsch {
119c4762a1bSJed Brown   PetscInt           rowcol[] = {0, 1, 2};
120c4762a1bSJed Brown   PetscScalar        J[3][3];
121c4762a1bSJed Brown   const PetscScalar *u, *udot;
122c4762a1bSJed Brown 
123c4762a1bSJed Brown   PetscFunctionBegin;
1249566063dSJacob Faibussowitsch   PetscCall(VecGetArrayRead(U, &u));
1259566063dSJacob Faibussowitsch   PetscCall(VecGetArrayRead(Udot, &udot));
1269371c9d4SSatish Balay   J[0][0] = a + ctx->k * u[1];
1279371c9d4SSatish Balay   J[0][1] = ctx->k * u[0];
1289371c9d4SSatish Balay   J[0][2] = 0.0;
1299371c9d4SSatish Balay   J[1][0] = ctx->k * u[1];
1309371c9d4SSatish Balay   J[1][1] = a + ctx->k * u[0];
1319371c9d4SSatish Balay   J[1][2] = 0.0;
1329371c9d4SSatish Balay   J[2][0] = -ctx->k * u[1];
1339371c9d4SSatish Balay   J[2][1] = -ctx->k * u[0];
1349371c9d4SSatish Balay   J[2][2] = a;
1359566063dSJacob Faibussowitsch   PetscCall(MatSetValues(B, 3, rowcol, 3, rowcol, &J[0][0], INSERT_VALUES));
1369566063dSJacob Faibussowitsch   PetscCall(VecRestoreArrayRead(U, &u));
1379566063dSJacob Faibussowitsch   PetscCall(VecRestoreArrayRead(Udot, &udot));
138c4762a1bSJed Brown 
1399566063dSJacob Faibussowitsch   PetscCall(MatAssemblyBegin(A, MAT_FINAL_ASSEMBLY));
1409566063dSJacob Faibussowitsch   PetscCall(MatAssemblyEnd(A, MAT_FINAL_ASSEMBLY));
141c4762a1bSJed Brown   if (A != B) {
1429566063dSJacob Faibussowitsch     PetscCall(MatAssemblyBegin(B, MAT_FINAL_ASSEMBLY));
1439566063dSJacob Faibussowitsch     PetscCall(MatAssemblyEnd(B, MAT_FINAL_ASSEMBLY));
144c4762a1bSJed Brown   }
1453ba16761SJacob Faibussowitsch   PetscFunctionReturn(PETSC_SUCCESS);
146c4762a1bSJed Brown }
147c4762a1bSJed Brown 
148c4762a1bSJed Brown /*
149c4762a1bSJed Brown      Defines the exact (analytic) solution to the ODE
150c4762a1bSJed Brown */
151d71ae5a4SJacob Faibussowitsch static PetscErrorCode Solution(TS ts, PetscReal t, Vec U, AppCtx *ctx)
152d71ae5a4SJacob Faibussowitsch {
153c4762a1bSJed Brown   const PetscScalar *uinit;
154c4762a1bSJed Brown   PetscScalar       *u, d0, q;
155c4762a1bSJed Brown 
156c4762a1bSJed Brown   PetscFunctionBegin;
1579566063dSJacob Faibussowitsch   PetscCall(VecGetArrayRead(ctx->initialsolution, &uinit));
1589566063dSJacob Faibussowitsch   PetscCall(VecGetArrayWrite(U, &u));
159c4762a1bSJed Brown   d0 = uinit[0] - uinit[1];
160c4762a1bSJed Brown   if (d0 == 0.0) q = ctx->k * t;
161c4762a1bSJed Brown   else q = (1.0 - PetscExpScalar(-ctx->k * t * d0)) / d0;
162c4762a1bSJed Brown   u[0] = uinit[0] / (1.0 + uinit[1] * q);
163c4762a1bSJed Brown   u[1] = u[0] - d0;
164c4762a1bSJed Brown   u[2] = uinit[1] + uinit[2] - u[1];
1659566063dSJacob Faibussowitsch   PetscCall(VecRestoreArrayWrite(U, &u));
1669566063dSJacob Faibussowitsch   PetscCall(VecRestoreArrayRead(ctx->initialsolution, &uinit));
1673ba16761SJacob Faibussowitsch   PetscFunctionReturn(PETSC_SUCCESS);
168c4762a1bSJed Brown }
169c4762a1bSJed Brown 
170d71ae5a4SJacob Faibussowitsch int main(int argc, char **argv)
171d71ae5a4SJacob Faibussowitsch {
172c4762a1bSJed Brown   TS                ts; /* ODE integrator */
173c4762a1bSJed Brown   Vec               U;  /* solution will be stored here */
174c4762a1bSJed Brown   Mat               A;  /* Jacobian matrix */
175c4762a1bSJed Brown   PetscMPIInt       size;
176c4762a1bSJed Brown   PetscInt          n = 3;
177c4762a1bSJed Brown   AppCtx            ctx;
178c4762a1bSJed Brown   PetscScalar      *u;
179c4762a1bSJed Brown   const char *const names[] = {"U1", "U2", "U3", NULL};
180c4762a1bSJed Brown 
181c4762a1bSJed Brown   /* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
182c4762a1bSJed Brown      Initialize program
183c4762a1bSJed Brown      - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */
184327415f7SBarry Smith   PetscFunctionBeginUser;
1859566063dSJacob Faibussowitsch   PetscCall(PetscInitialize(&argc, &argv, (char *)0, help));
1869566063dSJacob Faibussowitsch   PetscCallMPI(MPI_Comm_size(PETSC_COMM_WORLD, &size));
1873c633725SBarry Smith   PetscCheck(size == 1, PETSC_COMM_WORLD, PETSC_ERR_WRONG_MPI_SIZE, "Only for sequential runs");
188c4762a1bSJed Brown 
189c4762a1bSJed Brown   /* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
190c4762a1bSJed Brown     Create necessary matrix and vectors
191c4762a1bSJed Brown     - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */
1929566063dSJacob Faibussowitsch   PetscCall(MatCreate(PETSC_COMM_WORLD, &A));
1939566063dSJacob Faibussowitsch   PetscCall(MatSetSizes(A, n, n, PETSC_DETERMINE, PETSC_DETERMINE));
1949566063dSJacob Faibussowitsch   PetscCall(MatSetFromOptions(A));
1959566063dSJacob Faibussowitsch   PetscCall(MatSetUp(A));
196c4762a1bSJed Brown 
1979566063dSJacob Faibussowitsch   PetscCall(MatCreateVecs(A, &U, NULL));
198c4762a1bSJed Brown 
199c4762a1bSJed Brown   /* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
200c4762a1bSJed Brown     Set runtime options
201c4762a1bSJed Brown     - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */
202c4762a1bSJed Brown   ctx.k = .9;
2039566063dSJacob Faibussowitsch   PetscCall(PetscOptionsGetScalar(NULL, NULL, "-k", &ctx.k, NULL));
2049566063dSJacob Faibussowitsch   PetscCall(VecDuplicate(U, &ctx.initialsolution));
2059566063dSJacob Faibussowitsch   PetscCall(VecGetArrayWrite(ctx.initialsolution, &u));
206c4762a1bSJed Brown   u[0] = 1;
207c4762a1bSJed Brown   u[1] = .7;
208c4762a1bSJed Brown   u[2] = 0;
2099566063dSJacob Faibussowitsch   PetscCall(VecRestoreArrayWrite(ctx.initialsolution, &u));
2109566063dSJacob Faibussowitsch   PetscCall(PetscOptionsGetVec(NULL, NULL, "-initial", ctx.initialsolution, NULL));
211c4762a1bSJed Brown 
212c4762a1bSJed Brown   /* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
213c4762a1bSJed Brown      Create timestepping solver context
214c4762a1bSJed Brown      - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */
2159566063dSJacob Faibussowitsch   PetscCall(TSCreate(PETSC_COMM_WORLD, &ts));
2169566063dSJacob Faibussowitsch   PetscCall(TSSetProblemType(ts, TS_NONLINEAR));
2179566063dSJacob Faibussowitsch   PetscCall(TSSetType(ts, TSROSW));
218*8434afd1SBarry Smith   PetscCall(TSSetIFunction(ts, NULL, (TSIFunctionFn *)IFunction, &ctx));
219*8434afd1SBarry Smith   PetscCall(TSSetIJacobian(ts, A, A, (TSIJacobianFn *)IJacobian, &ctx));
220*8434afd1SBarry Smith   PetscCall(TSSetSolutionFunction(ts, (TSSolutionFn *)Solution, &ctx));
221c4762a1bSJed Brown 
222c4762a1bSJed Brown   {
223c4762a1bSJed Brown     DM    dm;
224c4762a1bSJed Brown     void *ptr;
2259566063dSJacob Faibussowitsch     PetscCall(TSGetDM(ts, &dm));
2269566063dSJacob Faibussowitsch     PetscCall(PetscDLSym(NULL, "IFunctionView", &ptr));
2279566063dSJacob Faibussowitsch     PetscCall(PetscDLSym(NULL, "IFunctionLoad", &ptr));
2289566063dSJacob Faibussowitsch     PetscCall(DMTSSetIFunctionSerialize(dm, (PetscErrorCode(*)(void *, PetscViewer))IFunctionView, (PetscErrorCode(*)(void **, PetscViewer))IFunctionLoad));
2299566063dSJacob Faibussowitsch     PetscCall(DMTSSetIJacobianSerialize(dm, (PetscErrorCode(*)(void *, PetscViewer))IFunctionView, (PetscErrorCode(*)(void **, PetscViewer))IFunctionLoad));
230c4762a1bSJed Brown   }
231c4762a1bSJed Brown 
232c4762a1bSJed Brown   /* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
233c4762a1bSJed Brown      Set initial conditions
234c4762a1bSJed Brown    - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */
2359566063dSJacob Faibussowitsch   PetscCall(Solution(ts, 0, U, &ctx));
2369566063dSJacob Faibussowitsch   PetscCall(TSSetSolution(ts, U));
237c4762a1bSJed Brown 
238c4762a1bSJed Brown   /* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
239c4762a1bSJed Brown      Set solver options
240c4762a1bSJed Brown    - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */
2419566063dSJacob Faibussowitsch   PetscCall(TSSetTimeStep(ts, .001));
2429566063dSJacob Faibussowitsch   PetscCall(TSSetMaxSteps(ts, 1000));
2439566063dSJacob Faibussowitsch   PetscCall(TSSetMaxTime(ts, 20.0));
2449566063dSJacob Faibussowitsch   PetscCall(TSSetExactFinalTime(ts, TS_EXACTFINALTIME_STEPOVER));
2459566063dSJacob Faibussowitsch   PetscCall(TSSetFromOptions(ts));
2469566063dSJacob Faibussowitsch   PetscCall(TSMonitorLGSetVariableNames(ts, names));
247c4762a1bSJed Brown 
248c4762a1bSJed Brown   /* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
249c4762a1bSJed Brown      Solve nonlinear system
250c4762a1bSJed Brown      - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */
2519566063dSJacob Faibussowitsch   PetscCall(TSSolve(ts, U));
252c4762a1bSJed Brown 
2539566063dSJacob Faibussowitsch   PetscCall(TSView(ts, PETSC_VIEWER_BINARY_WORLD));
254c4762a1bSJed Brown 
255c4762a1bSJed Brown   /* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
256c4762a1bSJed Brown      Free work space.  All PETSc objects should be destroyed when they are no longer needed.
257c4762a1bSJed Brown    - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */
2589566063dSJacob Faibussowitsch   PetscCall(VecDestroy(&ctx.initialsolution));
2599566063dSJacob Faibussowitsch   PetscCall(MatDestroy(&A));
2609566063dSJacob Faibussowitsch   PetscCall(VecDestroy(&U));
2619566063dSJacob Faibussowitsch   PetscCall(TSDestroy(&ts));
262c4762a1bSJed Brown 
2639566063dSJacob Faibussowitsch   PetscCall(PetscFinalize());
264b122ec5aSJacob Faibussowitsch   return 0;
265c4762a1bSJed Brown }
266c4762a1bSJed Brown 
267c4762a1bSJed Brown /*TEST
268c4762a1bSJed Brown 
269c4762a1bSJed Brown    test:
270c4762a1bSJed Brown      args: -ts_view
271dfd57a17SPierre Jolivet      requires: dlsym defined(PETSC_HAVE_DYNAMIC_LIBRARIES)
272c4762a1bSJed Brown 
273c4762a1bSJed Brown    test:
274c4762a1bSJed Brown      suffix: 2
275c4762a1bSJed Brown      args: -ts_monitor_lg_error -ts_monitor_lg_solution -ts_view
276dfd57a17SPierre Jolivet      requires: x dlsym defined(PETSC_HAVE_DYNAMIC_LIBRARIES)
277c4762a1bSJed Brown      output_file: output/ex1_1.out
278c4762a1bSJed Brown 
279c4762a1bSJed Brown TEST*/
280