xref: /petsc/src/ts/tutorials/advection-diffusion-reaction/ex1.c (revision 40badf4fbc550ac1f60bd080eaff6de6d55b946d)
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_ZZZ_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   CHKERRQ(PetscViewerBinaryWrite(v,&ctx->k,1,PETSC_SCALAR));
82   PetscFunctionReturn(0);
83 }
84 
85 PetscErrorCode IFunctionLoad(AppCtx **ctx,PetscViewer v)
86 {
87   PetscFunctionBegin;
88   CHKERRQ(PetscNew(ctx));
89   CHKERRQ(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   CHKERRQ(VecGetArrayRead(U,&u));
104   CHKERRQ(VecGetArrayRead(Udot,&udot));
105   CHKERRQ(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   CHKERRQ(VecRestoreArrayRead(U,&u));
110   CHKERRQ(VecRestoreArrayRead(Udot,&udot));
111   CHKERRQ(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   CHKERRQ(VecGetArrayRead(U,&u));
126   CHKERRQ(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   CHKERRQ(MatSetValues(B,3,rowcol,3,rowcol,&J[0][0],INSERT_VALUES));
131   CHKERRQ(VecRestoreArrayRead(U,&u));
132   CHKERRQ(VecRestoreArrayRead(Udot,&udot));
133 
134   CHKERRQ(MatAssemblyBegin(A,MAT_FINAL_ASSEMBLY));
135   CHKERRQ(MatAssemblyEnd(A,MAT_FINAL_ASSEMBLY));
136   if (A != B) {
137     CHKERRQ(MatAssemblyBegin(B,MAT_FINAL_ASSEMBLY));
138     CHKERRQ(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   CHKERRQ(VecGetArrayRead(ctx->initialsolution,&uinit));
153   CHKERRQ(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   CHKERRQ(VecRestoreArrayWrite(U,&u));
161   CHKERRQ(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   PetscErrorCode ierr;
171   PetscMPIInt    size;
172   PetscInt       n = 3;
173   AppCtx         ctx;
174   PetscScalar    *u;
175   const char     * const names[] = {"U1","U2","U3",NULL};
176 
177   /* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
178      Initialize program
179      - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */
180   ierr = PetscInitialize(&argc,&argv,(char*)0,help);if (ierr) return ierr;
181   CHKERRMPI(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   CHKERRQ(MatCreate(PETSC_COMM_WORLD,&A));
188   CHKERRQ(MatSetSizes(A,n,n,PETSC_DETERMINE,PETSC_DETERMINE));
189   CHKERRQ(MatSetFromOptions(A));
190   CHKERRQ(MatSetUp(A));
191 
192   CHKERRQ(MatCreateVecs(A,&U,NULL));
193 
194   /* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
195     Set runtime options
196     - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */
197   ctx.k = .9;
198   CHKERRQ(PetscOptionsGetScalar(NULL,NULL,"-k",&ctx.k,NULL));
199   CHKERRQ(VecDuplicate(U,&ctx.initialsolution));
200   CHKERRQ(VecGetArrayWrite(ctx.initialsolution,&u));
201   u[0]  = 1;
202   u[1]  = .7;
203   u[2]  = 0;
204   CHKERRQ(VecRestoreArrayWrite(ctx.initialsolution,&u));
205   CHKERRQ(PetscOptionsGetVec(NULL,NULL,"-initial",ctx.initialsolution,NULL));
206 
207   /* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
208      Create timestepping solver context
209      - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */
210   CHKERRQ(TSCreate(PETSC_COMM_WORLD,&ts));
211   CHKERRQ(TSSetProblemType(ts,TS_NONLINEAR));
212   CHKERRQ(TSSetType(ts,TSROSW));
213   CHKERRQ(TSSetIFunction(ts,NULL,(TSIFunction) IFunction,&ctx));
214   CHKERRQ(TSSetIJacobian(ts,A,A,(TSIJacobian)IJacobian,&ctx));
215   CHKERRQ(TSSetSolutionFunction(ts,(TSSolutionFunction)Solution,&ctx));
216 
217   {
218     DM   dm;
219     void *ptr;
220     CHKERRQ(TSGetDM(ts,&dm));
221     CHKERRQ(PetscDLSym(NULL,"IFunctionView",&ptr));
222     CHKERRQ(PetscDLSym(NULL,"IFunctionLoad",&ptr));
223     CHKERRQ(DMTSSetIFunctionSerialize(dm,(PetscErrorCode (*)(void*,PetscViewer))IFunctionView,(PetscErrorCode (*)(void**,PetscViewer))IFunctionLoad));
224     CHKERRQ(DMTSSetIJacobianSerialize(dm,(PetscErrorCode (*)(void*,PetscViewer))IFunctionView,(PetscErrorCode (*)(void**,PetscViewer))IFunctionLoad));
225   }
226 
227   /* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
228      Set initial conditions
229    - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */
230   CHKERRQ(Solution(ts,0,U,&ctx));
231   CHKERRQ(TSSetSolution(ts,U));
232 
233   /* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
234      Set solver options
235    - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */
236   CHKERRQ(TSSetTimeStep(ts,.001));
237   CHKERRQ(TSSetMaxSteps(ts,1000));
238   CHKERRQ(TSSetMaxTime(ts,20.0));
239   CHKERRQ(TSSetExactFinalTime(ts,TS_EXACTFINALTIME_STEPOVER));
240   CHKERRQ(TSSetFromOptions(ts));
241   CHKERRQ(TSMonitorLGSetVariableNames(ts,names));
242 
243   /* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
244      Solve nonlinear system
245      - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */
246   CHKERRQ(TSSolve(ts,U));
247 
248   CHKERRQ(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   CHKERRQ(VecDestroy(&ctx.initialsolution));
254   CHKERRQ(MatDestroy(&A));
255   CHKERRQ(VecDestroy(&U));
256   CHKERRQ(TSDestroy(&ts));
257 
258   ierr = PetscFinalize();
259   return ierr;
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