xref: /petsc/src/ts/tutorials/advection-diffusion-reaction/ex1.c (revision 35cb6cd333087cc89d8d5031932d4f38af02614d)
1c4762a1bSJed Brown 
2c4762a1bSJed Brown static char help[] = "Nonlinear Reaction Problem from Chemistry.\n";
3c4762a1bSJed Brown 
4c4762a1bSJed Brown /*F
5c4762a1bSJed Brown 
6c4762a1bSJed Brown      This directory contains examples based on the PDES/ODES given in the book
7c4762a1bSJed Brown       Numerical Solution of Time-Dependent Advection-Diffusion-Reaction Equations by
8c4762a1bSJed Brown       W. Hundsdorf and J.G. Verwer
9c4762a1bSJed Brown 
10c4762a1bSJed Brown      Page 3, Section 1.1 Nonlinear Reaction Problems from Chemistry
11c4762a1bSJed Brown 
12c4762a1bSJed Brown \begin{eqnarray}
13c4762a1bSJed Brown                  {U_1}_t  - k U_1 U_2  & = & 0 \\
14c4762a1bSJed Brown                  {U_2}_t  - k U_1 U_2 & = & 0 \\
15c4762a1bSJed Brown                  {U_3}_t  - k U_1 U_2 & = & 0
16c4762a1bSJed Brown \end{eqnarray}
17c4762a1bSJed Brown 
18c4762a1bSJed Brown      Helpful runtime monitoring options:
19c4762a1bSJed Brown          -ts_view                  -  prints information about the solver being used
20c4762a1bSJed Brown          -ts_monitor               -  prints the progess of the solver
21c4762a1bSJed Brown          -ts_adapt_monitor         -  prints the progress of the time-step adaptor
22c4762a1bSJed Brown          -ts_monitor_lg_timestep   -  plots the size of each timestep (at each time-step)
23c4762a1bSJed Brown          -ts_monitor_lg_solution   -  plots each component of the solution as a function of time (at each timestep)
24c4762a1bSJed Brown          -ts_monitor_lg_error      -  plots each component of the error in the solution as a function of time (at each timestep)
25c4762a1bSJed 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
26c4762a1bSJed Brown 
27c4762a1bSJed Brown          -ts_monitor_lg_timestep -1  -  plots the size of each timestep (at the end of the solution process)
28c4762a1bSJed Brown          -ts_monitor_lg_solution -1  -  plots each component of the solution as a function of time (at the end of the solution process)
29c4762a1bSJed 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)
30c4762a1bSJed Brown          -lg_use_markers false       -  do NOT show the data points on the plots
31c4762a1bSJed Brown          -draw_save                  -  save the timestep and solution plot as a .Gif image file
32c4762a1bSJed Brown 
33c4762a1bSJed Brown F*/
34c4762a1bSJed Brown 
35c4762a1bSJed Brown /*
36*35cb6cd3SPierre Jolivet       Project: Generate a nicely formatted HTML page using
37c4762a1bSJed Brown          1) the HTML version of the source code and text in this file, use make html to generate the file ex1.c.html
381baa6e33SBarry Smith          2) the images (Draw_XXX_0_0.Gif Draw_YYY_0_0.Gif Draw_$_1_0.Gif) and
39c4762a1bSJed Brown          3) the text output (output.txt) generated by running the following commands.
40c4762a1bSJed Brown          4) <iframe src="generated_topics.html" scrolling="no" frameborder="0"  width=600 height=300></iframe>
41c4762a1bSJed Brown 
42c4762a1bSJed Brown       rm -rf *.Gif
43c4762a1bSJed 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
44c4762a1bSJed Brown 
45c4762a1bSJed Brown       For example something like
46c4762a1bSJed Brown <!DOCTYPE HTML PUBLIC "-//W3C//DTD HTML 4.01 Transitional//EN">
47c4762a1bSJed Brown <html>
48c4762a1bSJed Brown   <head>
49c4762a1bSJed Brown     <meta http-equiv="content-type" content="text/html;charset=utf-8">
50c4762a1bSJed Brown     <title>PETSc Example -- Nonlinear Reaction Problem from Chemistry</title>
51c4762a1bSJed Brown   </head>
52c4762a1bSJed Brown   <body>
53c4762a1bSJed Brown   <iframe src="ex1.c.html" scrolling="yes" frameborder="1"  width=2000 height=400></iframe>
54c4762a1bSJed 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"/>
55c4762a1bSJed Brown   <iframe src="output.txt" scrolling="yes" frameborder="1"  width=2000 height=1000></iframe>
56c4762a1bSJed Brown   </body>
57c4762a1bSJed Brown </html>
58c4762a1bSJed Brown 
59c4762a1bSJed Brown */
60c4762a1bSJed Brown 
61c4762a1bSJed Brown /*
62c4762a1bSJed Brown    Include "petscts.h" so that we can use TS solvers.  Note that this
63c4762a1bSJed Brown    file automatically includes:
64c4762a1bSJed Brown      petscsys.h       - base PETSc routines   petscvec.h - vectors
65c4762a1bSJed Brown      petscmat.h - matrices
66c4762a1bSJed Brown      petscis.h     - index sets            petscksp.h - Krylov subspace methods
67c4762a1bSJed Brown      petscviewer.h - viewers               petscpc.h  - preconditioners
68c4762a1bSJed Brown      petscksp.h   - linear solvers
69c4762a1bSJed Brown */
70c4762a1bSJed Brown 
71c4762a1bSJed Brown #include <petscts.h>
72c4762a1bSJed Brown 
73c4762a1bSJed Brown typedef struct {
74c4762a1bSJed Brown   PetscScalar k;
75c4762a1bSJed Brown   Vec         initialsolution;
76c4762a1bSJed Brown } AppCtx;
77c4762a1bSJed Brown 
78d71ae5a4SJacob Faibussowitsch PetscErrorCode IFunctionView(AppCtx *ctx, PetscViewer v)
79d71ae5a4SJacob Faibussowitsch {
80c4762a1bSJed Brown   PetscFunctionBegin;
819566063dSJacob Faibussowitsch   PetscCall(PetscViewerBinaryWrite(v, &ctx->k, 1, PETSC_SCALAR));
82c4762a1bSJed Brown   PetscFunctionReturn(0);
83c4762a1bSJed Brown }
84c4762a1bSJed Brown 
85d71ae5a4SJacob Faibussowitsch PetscErrorCode IFunctionLoad(AppCtx **ctx, PetscViewer v)
86d71ae5a4SJacob Faibussowitsch {
87c4762a1bSJed Brown   PetscFunctionBegin;
889566063dSJacob Faibussowitsch   PetscCall(PetscNew(ctx));
899566063dSJacob Faibussowitsch   PetscCall(PetscViewerBinaryRead(v, &(*ctx)->k, 1, NULL, PETSC_SCALAR));
90c4762a1bSJed Brown   PetscFunctionReturn(0);
91c4762a1bSJed Brown }
92c4762a1bSJed Brown 
93c4762a1bSJed Brown /*
94c4762a1bSJed Brown      Defines the ODE passed to the ODE solver
95c4762a1bSJed Brown */
96d71ae5a4SJacob Faibussowitsch PetscErrorCode IFunction(TS ts, PetscReal t, Vec U, Vec Udot, Vec F, AppCtx *ctx)
97d71ae5a4SJacob Faibussowitsch {
98c4762a1bSJed Brown   PetscScalar       *f;
99c4762a1bSJed Brown   const PetscScalar *u, *udot;
100c4762a1bSJed Brown 
101c4762a1bSJed Brown   PetscFunctionBegin;
102c4762a1bSJed Brown   /*  The next three lines allow us to access the entries of the vectors directly */
1039566063dSJacob Faibussowitsch   PetscCall(VecGetArrayRead(U, &u));
1049566063dSJacob Faibussowitsch   PetscCall(VecGetArrayRead(Udot, &udot));
1059566063dSJacob Faibussowitsch   PetscCall(VecGetArrayWrite(F, &f));
106c4762a1bSJed Brown   f[0] = udot[0] + ctx->k * u[0] * u[1];
107c4762a1bSJed Brown   f[1] = udot[1] + ctx->k * u[0] * u[1];
108c4762a1bSJed Brown   f[2] = udot[2] - ctx->k * u[0] * u[1];
1099566063dSJacob Faibussowitsch   PetscCall(VecRestoreArrayRead(U, &u));
1109566063dSJacob Faibussowitsch   PetscCall(VecRestoreArrayRead(Udot, &udot));
1119566063dSJacob Faibussowitsch   PetscCall(VecRestoreArrayWrite(F, &f));
112c4762a1bSJed Brown   PetscFunctionReturn(0);
113c4762a1bSJed Brown }
114c4762a1bSJed Brown 
115c4762a1bSJed Brown /*
116c4762a1bSJed Brown      Defines the Jacobian of the ODE passed to the ODE solver. See TSSetIJacobian() for the meaning of a and the Jacobian.
117c4762a1bSJed Brown */
118d71ae5a4SJacob Faibussowitsch PetscErrorCode IJacobian(TS ts, PetscReal t, Vec U, Vec Udot, PetscReal a, Mat A, Mat B, AppCtx *ctx)
119d71ae5a4SJacob Faibussowitsch {
120c4762a1bSJed Brown   PetscInt           rowcol[] = {0, 1, 2};
121c4762a1bSJed Brown   PetscScalar        J[3][3];
122c4762a1bSJed Brown   const PetscScalar *u, *udot;
123c4762a1bSJed Brown 
124c4762a1bSJed Brown   PetscFunctionBegin;
1259566063dSJacob Faibussowitsch   PetscCall(VecGetArrayRead(U, &u));
1269566063dSJacob Faibussowitsch   PetscCall(VecGetArrayRead(Udot, &udot));
1279371c9d4SSatish Balay   J[0][0] = a + ctx->k * u[1];
1289371c9d4SSatish Balay   J[0][1] = ctx->k * u[0];
1299371c9d4SSatish Balay   J[0][2] = 0.0;
1309371c9d4SSatish Balay   J[1][0] = ctx->k * u[1];
1319371c9d4SSatish Balay   J[1][1] = a + ctx->k * u[0];
1329371c9d4SSatish Balay   J[1][2] = 0.0;
1339371c9d4SSatish Balay   J[2][0] = -ctx->k * u[1];
1349371c9d4SSatish Balay   J[2][1] = -ctx->k * u[0];
1359371c9d4SSatish Balay   J[2][2] = a;
1369566063dSJacob Faibussowitsch   PetscCall(MatSetValues(B, 3, rowcol, 3, rowcol, &J[0][0], INSERT_VALUES));
1379566063dSJacob Faibussowitsch   PetscCall(VecRestoreArrayRead(U, &u));
1389566063dSJacob Faibussowitsch   PetscCall(VecRestoreArrayRead(Udot, &udot));
139c4762a1bSJed Brown 
1409566063dSJacob Faibussowitsch   PetscCall(MatAssemblyBegin(A, MAT_FINAL_ASSEMBLY));
1419566063dSJacob Faibussowitsch   PetscCall(MatAssemblyEnd(A, MAT_FINAL_ASSEMBLY));
142c4762a1bSJed Brown   if (A != B) {
1439566063dSJacob Faibussowitsch     PetscCall(MatAssemblyBegin(B, MAT_FINAL_ASSEMBLY));
1449566063dSJacob Faibussowitsch     PetscCall(MatAssemblyEnd(B, MAT_FINAL_ASSEMBLY));
145c4762a1bSJed Brown   }
146c4762a1bSJed Brown   PetscFunctionReturn(0);
147c4762a1bSJed Brown }
148c4762a1bSJed Brown 
149c4762a1bSJed Brown /*
150c4762a1bSJed Brown      Defines the exact (analytic) solution to the ODE
151c4762a1bSJed Brown */
152d71ae5a4SJacob Faibussowitsch static PetscErrorCode Solution(TS ts, PetscReal t, Vec U, AppCtx *ctx)
153d71ae5a4SJacob Faibussowitsch {
154c4762a1bSJed Brown   const PetscScalar *uinit;
155c4762a1bSJed Brown   PetscScalar       *u, d0, q;
156c4762a1bSJed Brown 
157c4762a1bSJed Brown   PetscFunctionBegin;
1589566063dSJacob Faibussowitsch   PetscCall(VecGetArrayRead(ctx->initialsolution, &uinit));
1599566063dSJacob Faibussowitsch   PetscCall(VecGetArrayWrite(U, &u));
160c4762a1bSJed Brown   d0 = uinit[0] - uinit[1];
161c4762a1bSJed Brown   if (d0 == 0.0) q = ctx->k * t;
162c4762a1bSJed Brown   else q = (1.0 - PetscExpScalar(-ctx->k * t * d0)) / d0;
163c4762a1bSJed Brown   u[0] = uinit[0] / (1.0 + uinit[1] * q);
164c4762a1bSJed Brown   u[1] = u[0] - d0;
165c4762a1bSJed Brown   u[2] = uinit[1] + uinit[2] - u[1];
1669566063dSJacob Faibussowitsch   PetscCall(VecRestoreArrayWrite(U, &u));
1679566063dSJacob Faibussowitsch   PetscCall(VecRestoreArrayRead(ctx->initialsolution, &uinit));
168c4762a1bSJed Brown   PetscFunctionReturn(0);
169c4762a1bSJed Brown }
170c4762a1bSJed Brown 
171d71ae5a4SJacob Faibussowitsch int main(int argc, char **argv)
172d71ae5a4SJacob Faibussowitsch {
173c4762a1bSJed Brown   TS                ts; /* ODE integrator */
174c4762a1bSJed Brown   Vec               U;  /* solution will be stored here */
175c4762a1bSJed Brown   Mat               A;  /* Jacobian matrix */
176c4762a1bSJed Brown   PetscMPIInt       size;
177c4762a1bSJed Brown   PetscInt          n = 3;
178c4762a1bSJed Brown   AppCtx            ctx;
179c4762a1bSJed Brown   PetscScalar      *u;
180c4762a1bSJed Brown   const char *const names[] = {"U1", "U2", "U3", NULL};
181c4762a1bSJed Brown 
182c4762a1bSJed Brown   /* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
183c4762a1bSJed Brown      Initialize program
184c4762a1bSJed Brown      - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */
185327415f7SBarry Smith   PetscFunctionBeginUser;
1869566063dSJacob Faibussowitsch   PetscCall(PetscInitialize(&argc, &argv, (char *)0, help));
1879566063dSJacob Faibussowitsch   PetscCallMPI(MPI_Comm_size(PETSC_COMM_WORLD, &size));
1883c633725SBarry Smith   PetscCheck(size == 1, PETSC_COMM_WORLD, PETSC_ERR_WRONG_MPI_SIZE, "Only for sequential runs");
189c4762a1bSJed Brown 
190c4762a1bSJed Brown   /* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
191c4762a1bSJed Brown     Create necessary matrix and vectors
192c4762a1bSJed Brown     - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */
1939566063dSJacob Faibussowitsch   PetscCall(MatCreate(PETSC_COMM_WORLD, &A));
1949566063dSJacob Faibussowitsch   PetscCall(MatSetSizes(A, n, n, PETSC_DETERMINE, PETSC_DETERMINE));
1959566063dSJacob Faibussowitsch   PetscCall(MatSetFromOptions(A));
1969566063dSJacob Faibussowitsch   PetscCall(MatSetUp(A));
197c4762a1bSJed Brown 
1989566063dSJacob Faibussowitsch   PetscCall(MatCreateVecs(A, &U, NULL));
199c4762a1bSJed Brown 
200c4762a1bSJed Brown   /* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
201c4762a1bSJed Brown     Set runtime options
202c4762a1bSJed Brown     - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */
203c4762a1bSJed Brown   ctx.k = .9;
2049566063dSJacob Faibussowitsch   PetscCall(PetscOptionsGetScalar(NULL, NULL, "-k", &ctx.k, NULL));
2059566063dSJacob Faibussowitsch   PetscCall(VecDuplicate(U, &ctx.initialsolution));
2069566063dSJacob Faibussowitsch   PetscCall(VecGetArrayWrite(ctx.initialsolution, &u));
207c4762a1bSJed Brown   u[0] = 1;
208c4762a1bSJed Brown   u[1] = .7;
209c4762a1bSJed Brown   u[2] = 0;
2109566063dSJacob Faibussowitsch   PetscCall(VecRestoreArrayWrite(ctx.initialsolution, &u));
2119566063dSJacob Faibussowitsch   PetscCall(PetscOptionsGetVec(NULL, NULL, "-initial", ctx.initialsolution, NULL));
212c4762a1bSJed Brown 
213c4762a1bSJed Brown   /* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
214c4762a1bSJed Brown      Create timestepping solver context
215c4762a1bSJed Brown      - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */
2169566063dSJacob Faibussowitsch   PetscCall(TSCreate(PETSC_COMM_WORLD, &ts));
2179566063dSJacob Faibussowitsch   PetscCall(TSSetProblemType(ts, TS_NONLINEAR));
2189566063dSJacob Faibussowitsch   PetscCall(TSSetType(ts, TSROSW));
2199566063dSJacob Faibussowitsch   PetscCall(TSSetIFunction(ts, NULL, (TSIFunction)IFunction, &ctx));
2209566063dSJacob Faibussowitsch   PetscCall(TSSetIJacobian(ts, A, A, (TSIJacobian)IJacobian, &ctx));
2219566063dSJacob Faibussowitsch   PetscCall(TSSetSolutionFunction(ts, (TSSolutionFunction)Solution, &ctx));
222c4762a1bSJed Brown 
223c4762a1bSJed Brown   {
224c4762a1bSJed Brown     DM    dm;
225c4762a1bSJed Brown     void *ptr;
2269566063dSJacob Faibussowitsch     PetscCall(TSGetDM(ts, &dm));
2279566063dSJacob Faibussowitsch     PetscCall(PetscDLSym(NULL, "IFunctionView", &ptr));
2289566063dSJacob Faibussowitsch     PetscCall(PetscDLSym(NULL, "IFunctionLoad", &ptr));
2299566063dSJacob Faibussowitsch     PetscCall(DMTSSetIFunctionSerialize(dm, (PetscErrorCode(*)(void *, PetscViewer))IFunctionView, (PetscErrorCode(*)(void **, PetscViewer))IFunctionLoad));
2309566063dSJacob Faibussowitsch     PetscCall(DMTSSetIJacobianSerialize(dm, (PetscErrorCode(*)(void *, PetscViewer))IFunctionView, (PetscErrorCode(*)(void **, PetscViewer))IFunctionLoad));
231c4762a1bSJed Brown   }
232c4762a1bSJed Brown 
233c4762a1bSJed Brown   /* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
234c4762a1bSJed Brown      Set initial conditions
235c4762a1bSJed Brown    - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */
2369566063dSJacob Faibussowitsch   PetscCall(Solution(ts, 0, U, &ctx));
2379566063dSJacob Faibussowitsch   PetscCall(TSSetSolution(ts, U));
238c4762a1bSJed Brown 
239c4762a1bSJed Brown   /* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
240c4762a1bSJed Brown      Set solver options
241c4762a1bSJed Brown    - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */
2429566063dSJacob Faibussowitsch   PetscCall(TSSetTimeStep(ts, .001));
2439566063dSJacob Faibussowitsch   PetscCall(TSSetMaxSteps(ts, 1000));
2449566063dSJacob Faibussowitsch   PetscCall(TSSetMaxTime(ts, 20.0));
2459566063dSJacob Faibussowitsch   PetscCall(TSSetExactFinalTime(ts, TS_EXACTFINALTIME_STEPOVER));
2469566063dSJacob Faibussowitsch   PetscCall(TSSetFromOptions(ts));
2479566063dSJacob Faibussowitsch   PetscCall(TSMonitorLGSetVariableNames(ts, names));
248c4762a1bSJed Brown 
249c4762a1bSJed Brown   /* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
250c4762a1bSJed Brown      Solve nonlinear system
251c4762a1bSJed Brown      - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */
2529566063dSJacob Faibussowitsch   PetscCall(TSSolve(ts, U));
253c4762a1bSJed Brown 
2549566063dSJacob Faibussowitsch   PetscCall(TSView(ts, PETSC_VIEWER_BINARY_WORLD));
255c4762a1bSJed Brown 
256c4762a1bSJed Brown   /* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
257c4762a1bSJed Brown      Free work space.  All PETSc objects should be destroyed when they are no longer needed.
258c4762a1bSJed Brown    - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */
2599566063dSJacob Faibussowitsch   PetscCall(VecDestroy(&ctx.initialsolution));
2609566063dSJacob Faibussowitsch   PetscCall(MatDestroy(&A));
2619566063dSJacob Faibussowitsch   PetscCall(VecDestroy(&U));
2629566063dSJacob Faibussowitsch   PetscCall(TSDestroy(&ts));
263c4762a1bSJed Brown 
2649566063dSJacob Faibussowitsch   PetscCall(PetscFinalize());
265b122ec5aSJacob Faibussowitsch   return 0;
266c4762a1bSJed Brown }
267c4762a1bSJed Brown 
268c4762a1bSJed Brown /*TEST
269c4762a1bSJed Brown 
270c4762a1bSJed Brown    test:
271c4762a1bSJed Brown      args: -ts_view
272dfd57a17SPierre Jolivet      requires: dlsym defined(PETSC_HAVE_DYNAMIC_LIBRARIES)
273c4762a1bSJed Brown 
274c4762a1bSJed Brown    test:
275c4762a1bSJed Brown      suffix: 2
276c4762a1bSJed Brown      args: -ts_monitor_lg_error -ts_monitor_lg_solution  -ts_view
277dfd57a17SPierre Jolivet      requires: x dlsym defined(PETSC_HAVE_DYNAMIC_LIBRARIES)
278c4762a1bSJed Brown      output_file: output/ex1_1.out
279c4762a1bSJed Brown 
280c4762a1bSJed Brown TEST*/
281