xref: /petsc/src/snes/tutorials/ex25.c (revision 6a98f8dc3f2c9149905a87dc2e9d0fedaf64e09a) !
1 static const char help[] ="Minimum surface problem in 2D.\n\
2 Uses 2-dimensional distributed arrays.\n\
3 \n\
4   Solves the linear systems via multilevel methods \n\
5 \n\n";
6 
7 /*T
8    Concepts: SNES^solving a system of nonlinear equations
9    Concepts: DMDA^using distributed arrays
10    Concepts: multigrid;
11    Processors: n
12 T*/
13 
14 /*
15 
16     This example models the partial differential equation
17 
18          - Div((1 + ||GRAD T||^2)^(1/2) (GRAD T)) = 0.
19 
20 
21     in the unit square, which is uniformly discretized in each of x and
22     y in this simple encoding.  The degrees of freedom are vertex centered
23 
24     A finite difference approximation with the usual 5-point stencil
25     is used to discretize the boundary value problem to obtain a
26     nonlinear system of equations.
27 
28 */
29 
30 #include <petscsnes.h>
31 #include <petscdm.h>
32 #include <petscdmda.h>
33 
34 extern PetscErrorCode FormFunctionLocal(DMDALocalInfo*,PetscScalar**,PetscScalar**,void*);
35 
36 int main(int argc,char **argv)
37 {
38   SNES           snes;
39   PetscErrorCode ierr;
40   PetscInt       its,lits;
41   PetscReal      litspit;
42   DM             da;
43 
44   ierr = PetscInitialize(&argc,&argv,NULL,help);if (ierr) return ierr;
45   /*
46       Set the DMDA (grid structure) for the grids.
47   */
48   ierr = DMDACreate2d(PETSC_COMM_WORLD, DM_BOUNDARY_NONE, DM_BOUNDARY_NONE,DMDA_STENCIL_STAR,5,5,PETSC_DECIDE,PETSC_DECIDE,1,1,0,0,&da);CHKERRQ(ierr);
49   ierr = DMSetFromOptions(da);CHKERRQ(ierr);
50   ierr = DMSetUp(da);CHKERRQ(ierr);
51   ierr = DMDASNESSetFunctionLocal(da,INSERT_VALUES,(PetscErrorCode (*)(DMDALocalInfo*,void*,void*,void*))FormFunctionLocal,NULL);CHKERRQ(ierr);
52   ierr = SNESCreate(PETSC_COMM_WORLD,&snes);CHKERRQ(ierr);
53   ierr = SNESSetDM(snes,da);CHKERRQ(ierr);
54   ierr = DMDestroy(&da);CHKERRQ(ierr);
55 
56   ierr = SNESSetFromOptions(snes);CHKERRQ(ierr);
57 
58   ierr    = SNESSolve(snes,0,0);CHKERRQ(ierr);
59   ierr    = SNESGetIterationNumber(snes,&its);CHKERRQ(ierr);
60   ierr    = SNESGetLinearSolveIterations(snes,&lits);CHKERRQ(ierr);
61   litspit = ((PetscReal)lits)/((PetscReal)its);
62   ierr    = PetscPrintf(PETSC_COMM_WORLD,"Number of SNES iterations = %D\n",its);CHKERRQ(ierr);
63   ierr    = PetscPrintf(PETSC_COMM_WORLD,"Number of Linear iterations = %D\n",lits);CHKERRQ(ierr);
64   ierr    = PetscPrintf(PETSC_COMM_WORLD,"Average Linear its / SNES = %e\n",(double)litspit);CHKERRQ(ierr);
65 
66   ierr = SNESDestroy(&snes);CHKERRQ(ierr);
67   ierr = PetscFinalize();
68   return ierr;
69 }
70 
71 PetscErrorCode FormFunctionLocal(DMDALocalInfo *info,PetscScalar **t,PetscScalar **f,void *ptr)
72 {
73   PetscInt    i,j;
74   PetscScalar hx,hy;
75   PetscScalar gradup,graddown,gradleft,gradright,gradx,grady;
76   PetscScalar coeffup,coeffdown,coeffleft,coeffright;
77 
78   PetscFunctionBeginUser;
79   hx = 1.0/(PetscReal)(info->mx-1);  hy    = 1.0/(PetscReal)(info->my-1);
80 
81   /* Evaluate function */
82   for (j=info->ys; j<info->ys+info->ym; j++) {
83     for (i=info->xs; i<info->xs+info->xm; i++) {
84 
85       if (i == 0 || i == info->mx-1 || j == 0 || j == info->my-1) {
86         f[j][i] = t[j][i] - (1.0 - (2.0*hx*(PetscReal)i - 1.0)*(2.0*hx*(PetscReal)i - 1.0));
87       } else {
88 
89         gradup    = (t[j+1][i] - t[j][i])/hy;
90         graddown  = (t[j][i] - t[j-1][i])/hy;
91         gradright = (t[j][i+1] - t[j][i])/hx;
92         gradleft  = (t[j][i] - t[j][i-1])/hx;
93 
94         gradx = .5*(t[j][i+1] - t[j][i-1])/hx;
95         grady = .5*(t[j+1][i] - t[j-1][i])/hy;
96 
97         coeffup   = 1.0/PetscSqrtScalar(1.0 + gradup*gradup + gradx*gradx);
98         coeffdown = 1.0/PetscSqrtScalar(1.0 + graddown*graddown + gradx*gradx);
99 
100         coeffleft  = 1.0/PetscSqrtScalar(1.0 + gradleft*gradleft + grady*grady);
101         coeffright = 1.0/PetscSqrtScalar(1.0 + gradright*gradright + grady*grady);
102 
103         f[j][i] = (coeffup*gradup - coeffdown*graddown)*hx + (coeffright*gradright - coeffleft*gradleft)*hy;
104       }
105 
106     }
107   }
108   PetscFunctionReturn(0);
109 }
110 
111 
112 /*TEST
113 
114    test:
115       args: -pc_type mg -da_refine 1 -ksp_type fgmres
116 
117    test:
118       suffix: 2
119       nsize: 2
120       args: -pc_type mg -da_refine 1 -ksp_type fgmres
121 
122 TEST*/
123