xref: /petsc/src/snes/tutorials/ex25.c (revision 63a3b9bc7a1f24f247904ccba9383635fe6abade)
1c4762a1bSJed Brown static const char help[] ="Minimum surface problem in 2D.\n\
2c4762a1bSJed Brown Uses 2-dimensional distributed arrays.\n\
3c4762a1bSJed Brown \n\
4c4762a1bSJed Brown   Solves the linear systems via multilevel methods \n\
5c4762a1bSJed Brown \n\n";
6c4762a1bSJed Brown 
7c4762a1bSJed Brown /*
8c4762a1bSJed Brown 
9c4762a1bSJed Brown     This example models the partial differential equation
10c4762a1bSJed Brown 
11c4762a1bSJed Brown          - Div((1 + ||GRAD T||^2)^(1/2) (GRAD T)) = 0.
12c4762a1bSJed Brown 
13c4762a1bSJed Brown     in the unit square, which is uniformly discretized in each of x and
14c4762a1bSJed Brown     y in this simple encoding.  The degrees of freedom are vertex centered
15c4762a1bSJed Brown 
16c4762a1bSJed Brown     A finite difference approximation with the usual 5-point stencil
17c4762a1bSJed Brown     is used to discretize the boundary value problem to obtain a
18c4762a1bSJed Brown     nonlinear system of equations.
19c4762a1bSJed Brown 
20c4762a1bSJed Brown */
21c4762a1bSJed Brown 
22c4762a1bSJed Brown #include <petscsnes.h>
23c4762a1bSJed Brown #include <petscdm.h>
24c4762a1bSJed Brown #include <petscdmda.h>
25c4762a1bSJed Brown 
26c4762a1bSJed Brown extern PetscErrorCode FormFunctionLocal(DMDALocalInfo*,PetscScalar**,PetscScalar**,void*);
27c4762a1bSJed Brown 
28c4762a1bSJed Brown int main(int argc,char **argv)
29c4762a1bSJed Brown {
30c4762a1bSJed Brown   SNES           snes;
31c4762a1bSJed Brown   PetscInt       its,lits;
32c4762a1bSJed Brown   PetscReal      litspit;
33c4762a1bSJed Brown   DM             da;
34c4762a1bSJed Brown 
359566063dSJacob Faibussowitsch   PetscCall(PetscInitialize(&argc,&argv,NULL,help));
36c4762a1bSJed Brown   /*
37c4762a1bSJed Brown       Set the DMDA (grid structure) for the grids.
38c4762a1bSJed Brown   */
399566063dSJacob Faibussowitsch   PetscCall(DMDACreate2d(PETSC_COMM_WORLD, DM_BOUNDARY_NONE, DM_BOUNDARY_NONE,DMDA_STENCIL_STAR,5,5,PETSC_DECIDE,PETSC_DECIDE,1,1,0,0,&da));
409566063dSJacob Faibussowitsch   PetscCall(DMSetFromOptions(da));
419566063dSJacob Faibussowitsch   PetscCall(DMSetUp(da));
429566063dSJacob Faibussowitsch   PetscCall(DMDASNESSetFunctionLocal(da,INSERT_VALUES,(PetscErrorCode (*)(DMDALocalInfo*,void*,void*,void*))FormFunctionLocal,NULL));
439566063dSJacob Faibussowitsch   PetscCall(SNESCreate(PETSC_COMM_WORLD,&snes));
449566063dSJacob Faibussowitsch   PetscCall(SNESSetDM(snes,da));
459566063dSJacob Faibussowitsch   PetscCall(DMDestroy(&da));
46c4762a1bSJed Brown 
479566063dSJacob Faibussowitsch   PetscCall(SNESSetFromOptions(snes));
48c4762a1bSJed Brown 
499566063dSJacob Faibussowitsch   PetscCall(SNESSolve(snes,0,0));
509566063dSJacob Faibussowitsch   PetscCall(SNESGetIterationNumber(snes,&its));
519566063dSJacob Faibussowitsch   PetscCall(SNESGetLinearSolveIterations(snes,&lits));
52c4762a1bSJed Brown   litspit = ((PetscReal)lits)/((PetscReal)its);
53*63a3b9bcSJacob Faibussowitsch   PetscCall(PetscPrintf(PETSC_COMM_WORLD,"Number of SNES iterations = %" PetscInt_FMT "\n",its));
54*63a3b9bcSJacob Faibussowitsch   PetscCall(PetscPrintf(PETSC_COMM_WORLD,"Number of Linear iterations = %" PetscInt_FMT "\n",lits));
559566063dSJacob Faibussowitsch   PetscCall(PetscPrintf(PETSC_COMM_WORLD,"Average Linear its / SNES = %e\n",(double)litspit));
56c4762a1bSJed Brown 
579566063dSJacob Faibussowitsch   PetscCall(SNESDestroy(&snes));
589566063dSJacob Faibussowitsch   PetscCall(PetscFinalize());
59b122ec5aSJacob Faibussowitsch   return 0;
60c4762a1bSJed Brown }
61c4762a1bSJed Brown 
62c4762a1bSJed Brown PetscErrorCode FormFunctionLocal(DMDALocalInfo *info,PetscScalar **t,PetscScalar **f,void *ptr)
63c4762a1bSJed Brown {
64c4762a1bSJed Brown   PetscInt    i,j;
65c4762a1bSJed Brown   PetscScalar hx,hy;
66c4762a1bSJed Brown   PetscScalar gradup,graddown,gradleft,gradright,gradx,grady;
67c4762a1bSJed Brown   PetscScalar coeffup,coeffdown,coeffleft,coeffright;
68c4762a1bSJed Brown 
69c4762a1bSJed Brown   PetscFunctionBeginUser;
70c4762a1bSJed Brown   hx = 1.0/(PetscReal)(info->mx-1);  hy    = 1.0/(PetscReal)(info->my-1);
71c4762a1bSJed Brown 
72c4762a1bSJed Brown   /* Evaluate function */
73c4762a1bSJed Brown   for (j=info->ys; j<info->ys+info->ym; j++) {
74c4762a1bSJed Brown     for (i=info->xs; i<info->xs+info->xm; i++) {
75c4762a1bSJed Brown 
76c4762a1bSJed Brown       if (i == 0 || i == info->mx-1 || j == 0 || j == info->my-1) {
77c4762a1bSJed Brown         f[j][i] = t[j][i] - (1.0 - (2.0*hx*(PetscReal)i - 1.0)*(2.0*hx*(PetscReal)i - 1.0));
78c4762a1bSJed Brown       } else {
79c4762a1bSJed Brown 
80c4762a1bSJed Brown         gradup    = (t[j+1][i] - t[j][i])/hy;
81c4762a1bSJed Brown         graddown  = (t[j][i] - t[j-1][i])/hy;
82c4762a1bSJed Brown         gradright = (t[j][i+1] - t[j][i])/hx;
83c4762a1bSJed Brown         gradleft  = (t[j][i] - t[j][i-1])/hx;
84c4762a1bSJed Brown 
85c4762a1bSJed Brown         gradx = .5*(t[j][i+1] - t[j][i-1])/hx;
86c4762a1bSJed Brown         grady = .5*(t[j+1][i] - t[j-1][i])/hy;
87c4762a1bSJed Brown 
88c4762a1bSJed Brown         coeffup   = 1.0/PetscSqrtScalar(1.0 + gradup*gradup + gradx*gradx);
89c4762a1bSJed Brown         coeffdown = 1.0/PetscSqrtScalar(1.0 + graddown*graddown + gradx*gradx);
90c4762a1bSJed Brown 
91c4762a1bSJed Brown         coeffleft  = 1.0/PetscSqrtScalar(1.0 + gradleft*gradleft + grady*grady);
92c4762a1bSJed Brown         coeffright = 1.0/PetscSqrtScalar(1.0 + gradright*gradright + grady*grady);
93c4762a1bSJed Brown 
94c4762a1bSJed Brown         f[j][i] = (coeffup*gradup - coeffdown*graddown)*hx + (coeffright*gradright - coeffleft*gradleft)*hy;
95c4762a1bSJed Brown       }
96c4762a1bSJed Brown 
97c4762a1bSJed Brown     }
98c4762a1bSJed Brown   }
99c4762a1bSJed Brown   PetscFunctionReturn(0);
100c4762a1bSJed Brown }
101c4762a1bSJed Brown 
102c4762a1bSJed Brown /*TEST
103c4762a1bSJed Brown 
104c4762a1bSJed Brown    test:
105c4762a1bSJed Brown       args: -pc_type mg -da_refine 1 -ksp_type fgmres
106c4762a1bSJed Brown 
107c4762a1bSJed Brown    test:
108c4762a1bSJed Brown       suffix: 2
109c4762a1bSJed Brown       nsize: 2
110c4762a1bSJed Brown       args: -pc_type mg -da_refine 1 -ksp_type fgmres
111c4762a1bSJed Brown 
11241ba4c6cSHeeho Park    test:
11341ba4c6cSHeeho Park       suffix: 3
11441ba4c6cSHeeho Park       nsize: 2
11541ba4c6cSHeeho Park       args: -pc_type mg -da_refine 1 -ksp_type fgmres -snes_type newtontrdc -snes_trdc_use_cauchy false
11641ba4c6cSHeeho Park 
11741ba4c6cSHeeho Park    test:
11841ba4c6cSHeeho Park       suffix: 4
11941ba4c6cSHeeho Park       nsize: 2
12041ba4c6cSHeeho Park       args: -pc_type mg -da_refine 1 -ksp_type fgmres -snes_type newtontrdc
12141ba4c6cSHeeho Park       filter: sed -e "s/SNES iterations = 1[1-3]/SNES iterations = 13/g" |sed -e "s/Linear iterations = 2[8-9]/Linear iterations = 29/g" |sed -e "s/Linear iterations = 3[0-1]/Linear iterations = 29/g"
12241ba4c6cSHeeho Park 
123c4762a1bSJed Brown TEST*/
124