xref: /petsc/src/ts/tutorials/advection-diffusion-reaction/ex1.c (revision ebead697dbf761eb322f829370bbe90b3bd93fa3)
1 
2 static char help[] = "Nonlinear Reaction Problem from Chemistry.\n";
3 
4 /*F
5 
6      This directory contains examples based on the PDES/ODES given in the book
7       Numerical Solution of Time-Dependent Advection-Diffusion-Reaction Equations by
8       W. Hundsdorf and J.G. Verwer
9 
10      Page 3, Section 1.1 Nonlinear Reaction Problems from Chemistry
11 
12 \begin{eqnarray}
13                  {U_1}_t  - k U_1 U_2  & = & 0 \\
14                  {U_2}_t  - k U_1 U_2 & = & 0 \\
15                  {U_3}_t  - k U_1 U_2 & = & 0
16 \end{eqnarray}
17 
18      Helpful runtime monitoring options:
19          -ts_view                  -  prints information about the solver being used
20          -ts_monitor               -  prints the progess of the solver
21          -ts_adapt_monitor         -  prints the progress of the time-step adaptor
22          -ts_monitor_lg_timestep   -  plots the size of each timestep (at each time-step)
23          -ts_monitor_lg_solution   -  plots each component of the solution as a function of time (at each timestep)
24          -ts_monitor_lg_error      -  plots each component of the error in the solution as a function of time (at each timestep)
25          -draw_pause -2            -  hold the plots a the end of the solution process, enter a mouse press in each window to end the process
26 
27          -ts_monitor_lg_timestep -1  -  plots the size of each timestep (at the end of the solution process)
28          -ts_monitor_lg_solution -1  -  plots each component of the solution as a function of time (at the end of the solution process)
29          -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)
30          -lg_use_markers false       -  do NOT show the data points on the plots
31          -draw_save                  -  save the timestep and solution plot as a .Gif image file
32 
33 F*/
34 
35 /*
36       Project: Generate a nicely formated HTML page using
37          1) the HTML version of the source code and text in this file, use make html to generate the file ex1.c.html
38          2) the images (Draw_XXX_0_0.Gif Draw_YYY_0_0.Gif Draw_$_1_0.Gif) and
39          3) the text output (output.txt) generated by running the following commands.
40          4) <iframe src="generated_topics.html" scrolling="no" frameborder="0"  width=600 height=300></iframe>
41 
42       rm -rf *.Gif
43       ./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
44 
45       For example something like
46 <!DOCTYPE HTML PUBLIC "-//W3C//DTD HTML 4.01 Transitional//EN">
47 <html>
48   <head>
49     <meta http-equiv="content-type" content="text/html;charset=utf-8">
50     <title>PETSc Example -- Nonlinear Reaction Problem from Chemistry</title>
51   </head>
52   <body>
53   <iframe src="ex1.c.html" scrolling="yes" frameborder="1"  width=2000 height=400></iframe>
54   <img alt="" src="Draw_0x84000000_0_0.Gif"/><img alt="" src="Draw_0x84000001_0_0.Gif"/><img alt="" src="Draw_0x84000001_1_0.Gif"/>
55   <iframe src="output.txt" scrolling="yes" frameborder="1"  width=2000 height=1000></iframe>
56   </body>
57 </html>
58 
59 */
60 
61 /*
62    Include "petscts.h" so that we can use TS solvers.  Note that this
63    file automatically includes:
64      petscsys.h       - base PETSc routines   petscvec.h - vectors
65      petscmat.h - matrices
66      petscis.h     - index sets            petscksp.h - Krylov subspace methods
67      petscviewer.h - viewers               petscpc.h  - preconditioners
68      petscksp.h   - linear solvers
69 */
70 
71 #include <petscts.h>
72 
73 typedef struct {
74   PetscScalar k;
75   Vec         initialsolution;
76 } AppCtx;
77 
78 PetscErrorCode IFunctionView(AppCtx *ctx,PetscViewer v)
79 {
80   PetscFunctionBegin;
81   PetscCall(PetscViewerBinaryWrite(v,&ctx->k,1,PETSC_SCALAR));
82   PetscFunctionReturn(0);
83 }
84 
85 PetscErrorCode IFunctionLoad(AppCtx **ctx,PetscViewer v)
86 {
87   PetscFunctionBegin;
88   PetscCall(PetscNew(ctx));
89   PetscCall(PetscViewerBinaryRead(v,&(*ctx)->k,1,NULL,PETSC_SCALAR));
90   PetscFunctionReturn(0);
91 }
92 
93 /*
94      Defines the ODE passed to the ODE solver
95 */
96 PetscErrorCode IFunction(TS ts,PetscReal t,Vec U,Vec Udot,Vec F,AppCtx *ctx)
97 {
98   PetscScalar       *f;
99   const PetscScalar *u,*udot;
100 
101   PetscFunctionBegin;
102   /*  The next three lines allow us to access the entries of the vectors directly */
103   PetscCall(VecGetArrayRead(U,&u));
104   PetscCall(VecGetArrayRead(Udot,&udot));
105   PetscCall(VecGetArrayWrite(F,&f));
106   f[0] = udot[0] + ctx->k*u[0]*u[1];
107   f[1] = udot[1] + ctx->k*u[0]*u[1];
108   f[2] = udot[2] - ctx->k*u[0]*u[1];
109   PetscCall(VecRestoreArrayRead(U,&u));
110   PetscCall(VecRestoreArrayRead(Udot,&udot));
111   PetscCall(VecRestoreArrayWrite(F,&f));
112   PetscFunctionReturn(0);
113 }
114 
115 /*
116      Defines the Jacobian of the ODE passed to the ODE solver. See TSSetIJacobian() for the meaning of a and the Jacobian.
117 */
118 PetscErrorCode IJacobian(TS ts,PetscReal t,Vec U,Vec Udot,PetscReal a,Mat A,Mat B,AppCtx *ctx)
119 {
120   PetscInt          rowcol[] = {0,1,2};
121   PetscScalar       J[3][3];
122   const PetscScalar *u,*udot;
123 
124   PetscFunctionBegin;
125   PetscCall(VecGetArrayRead(U,&u));
126   PetscCall(VecGetArrayRead(Udot,&udot));
127   J[0][0] = a + ctx->k*u[1];   J[0][1] = ctx->k*u[0];       J[0][2] = 0.0;
128   J[1][0] = ctx->k*u[1];       J[1][1] = a + ctx->k*u[0];   J[1][2] = 0.0;
129   J[2][0] = -ctx->k*u[1];      J[2][1] = -ctx->k*u[0];      J[2][2] = a;
130   PetscCall(MatSetValues(B,3,rowcol,3,rowcol,&J[0][0],INSERT_VALUES));
131   PetscCall(VecRestoreArrayRead(U,&u));
132   PetscCall(VecRestoreArrayRead(Udot,&udot));
133 
134   PetscCall(MatAssemblyBegin(A,MAT_FINAL_ASSEMBLY));
135   PetscCall(MatAssemblyEnd(A,MAT_FINAL_ASSEMBLY));
136   if (A != B) {
137     PetscCall(MatAssemblyBegin(B,MAT_FINAL_ASSEMBLY));
138     PetscCall(MatAssemblyEnd(B,MAT_FINAL_ASSEMBLY));
139   }
140   PetscFunctionReturn(0);
141 }
142 
143 /*
144      Defines the exact (analytic) solution to the ODE
145 */
146 static PetscErrorCode Solution(TS ts,PetscReal t,Vec U,AppCtx *ctx)
147 {
148   const PetscScalar *uinit;
149   PetscScalar       *u,d0,q;
150 
151   PetscFunctionBegin;
152   PetscCall(VecGetArrayRead(ctx->initialsolution,&uinit));
153   PetscCall(VecGetArrayWrite(U,&u));
154   d0   = uinit[0] - uinit[1];
155   if (d0 == 0.0) q = ctx->k*t;
156   else q = (1.0 - PetscExpScalar(-ctx->k*t*d0))/d0;
157   u[0] = uinit[0]/(1.0 + uinit[1]*q);
158   u[1] = u[0] - d0;
159   u[2] = uinit[1] + uinit[2] - u[1];
160   PetscCall(VecRestoreArrayWrite(U,&u));
161   PetscCall(VecRestoreArrayRead(ctx->initialsolution,&uinit));
162   PetscFunctionReturn(0);
163 }
164 
165 int main(int argc,char **argv)
166 {
167   TS             ts;            /* ODE integrator */
168   Vec            U;             /* solution will be stored here */
169   Mat            A;             /* Jacobian matrix */
170   PetscMPIInt    size;
171   PetscInt       n = 3;
172   AppCtx         ctx;
173   PetscScalar    *u;
174   const char     * const names[] = {"U1","U2","U3",NULL};
175 
176   /* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
177      Initialize program
178      - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */
179   PetscFunctionBeginUser;
180   PetscCall(PetscInitialize(&argc,&argv,(char*)0,help));
181   PetscCallMPI(MPI_Comm_size(PETSC_COMM_WORLD,&size));
182   PetscCheck(size == 1,PETSC_COMM_WORLD,PETSC_ERR_WRONG_MPI_SIZE,"Only for sequential runs");
183 
184   /* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
185     Create necessary matrix and vectors
186     - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */
187   PetscCall(MatCreate(PETSC_COMM_WORLD,&A));
188   PetscCall(MatSetSizes(A,n,n,PETSC_DETERMINE,PETSC_DETERMINE));
189   PetscCall(MatSetFromOptions(A));
190   PetscCall(MatSetUp(A));
191 
192   PetscCall(MatCreateVecs(A,&U,NULL));
193 
194   /* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
195     Set runtime options
196     - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */
197   ctx.k = .9;
198   PetscCall(PetscOptionsGetScalar(NULL,NULL,"-k",&ctx.k,NULL));
199   PetscCall(VecDuplicate(U,&ctx.initialsolution));
200   PetscCall(VecGetArrayWrite(ctx.initialsolution,&u));
201   u[0]  = 1;
202   u[1]  = .7;
203   u[2]  = 0;
204   PetscCall(VecRestoreArrayWrite(ctx.initialsolution,&u));
205   PetscCall(PetscOptionsGetVec(NULL,NULL,"-initial",ctx.initialsolution,NULL));
206 
207   /* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
208      Create timestepping solver context
209      - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */
210   PetscCall(TSCreate(PETSC_COMM_WORLD,&ts));
211   PetscCall(TSSetProblemType(ts,TS_NONLINEAR));
212   PetscCall(TSSetType(ts,TSROSW));
213   PetscCall(TSSetIFunction(ts,NULL,(TSIFunction) IFunction,&ctx));
214   PetscCall(TSSetIJacobian(ts,A,A,(TSIJacobian)IJacobian,&ctx));
215   PetscCall(TSSetSolutionFunction(ts,(TSSolutionFunction)Solution,&ctx));
216 
217   {
218     DM   dm;
219     void *ptr;
220     PetscCall(TSGetDM(ts,&dm));
221     PetscCall(PetscDLSym(NULL,"IFunctionView",&ptr));
222     PetscCall(PetscDLSym(NULL,"IFunctionLoad",&ptr));
223     PetscCall(DMTSSetIFunctionSerialize(dm,(PetscErrorCode (*)(void*,PetscViewer))IFunctionView,(PetscErrorCode (*)(void**,PetscViewer))IFunctionLoad));
224     PetscCall(DMTSSetIJacobianSerialize(dm,(PetscErrorCode (*)(void*,PetscViewer))IFunctionView,(PetscErrorCode (*)(void**,PetscViewer))IFunctionLoad));
225   }
226 
227   /* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
228      Set initial conditions
229    - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */
230   PetscCall(Solution(ts,0,U,&ctx));
231   PetscCall(TSSetSolution(ts,U));
232 
233   /* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
234      Set solver options
235    - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */
236   PetscCall(TSSetTimeStep(ts,.001));
237   PetscCall(TSSetMaxSteps(ts,1000));
238   PetscCall(TSSetMaxTime(ts,20.0));
239   PetscCall(TSSetExactFinalTime(ts,TS_EXACTFINALTIME_STEPOVER));
240   PetscCall(TSSetFromOptions(ts));
241   PetscCall(TSMonitorLGSetVariableNames(ts,names));
242 
243   /* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
244      Solve nonlinear system
245      - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */
246   PetscCall(TSSolve(ts,U));
247 
248   PetscCall(TSView(ts,PETSC_VIEWER_BINARY_WORLD));
249 
250   /* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
251      Free work space.  All PETSc objects should be destroyed when they are no longer needed.
252    - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */
253   PetscCall(VecDestroy(&ctx.initialsolution));
254   PetscCall(MatDestroy(&A));
255   PetscCall(VecDestroy(&U));
256   PetscCall(TSDestroy(&ts));
257 
258   PetscCall(PetscFinalize());
259   return 0;
260 }
261 
262 /*TEST
263 
264    test:
265      args: -ts_view
266      requires: dlsym defined(PETSC_HAVE_DYNAMIC_LIBRARIES)
267 
268    test:
269      suffix: 2
270      args: -ts_monitor_lg_error -ts_monitor_lg_solution  -ts_view
271      requires: x dlsym defined(PETSC_HAVE_DYNAMIC_LIBRARIES)
272      output_file: output/ex1_1.out
273 
274 TEST*/
275