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 35*327415f7SBarry Smith PetscFunctionBeginUser; 369566063dSJacob Faibussowitsch PetscCall(PetscInitialize(&argc,&argv,NULL,help)); 37c4762a1bSJed Brown /* 38c4762a1bSJed Brown Set the DMDA (grid structure) for the grids. 39c4762a1bSJed Brown */ 409566063dSJacob 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)); 419566063dSJacob Faibussowitsch PetscCall(DMSetFromOptions(da)); 429566063dSJacob Faibussowitsch PetscCall(DMSetUp(da)); 439566063dSJacob Faibussowitsch PetscCall(DMDASNESSetFunctionLocal(da,INSERT_VALUES,(PetscErrorCode (*)(DMDALocalInfo*,void*,void*,void*))FormFunctionLocal,NULL)); 449566063dSJacob Faibussowitsch PetscCall(SNESCreate(PETSC_COMM_WORLD,&snes)); 459566063dSJacob Faibussowitsch PetscCall(SNESSetDM(snes,da)); 469566063dSJacob Faibussowitsch PetscCall(DMDestroy(&da)); 47c4762a1bSJed Brown 489566063dSJacob Faibussowitsch PetscCall(SNESSetFromOptions(snes)); 49c4762a1bSJed Brown 509566063dSJacob Faibussowitsch PetscCall(SNESSolve(snes,0,0)); 519566063dSJacob Faibussowitsch PetscCall(SNESGetIterationNumber(snes,&its)); 529566063dSJacob Faibussowitsch PetscCall(SNESGetLinearSolveIterations(snes,&lits)); 53c4762a1bSJed Brown litspit = ((PetscReal)lits)/((PetscReal)its); 5463a3b9bcSJacob Faibussowitsch PetscCall(PetscPrintf(PETSC_COMM_WORLD,"Number of SNES iterations = %" PetscInt_FMT "\n",its)); 5563a3b9bcSJacob Faibussowitsch PetscCall(PetscPrintf(PETSC_COMM_WORLD,"Number of Linear iterations = %" PetscInt_FMT "\n",lits)); 569566063dSJacob Faibussowitsch PetscCall(PetscPrintf(PETSC_COMM_WORLD,"Average Linear its / SNES = %e\n",(double)litspit)); 57c4762a1bSJed Brown 589566063dSJacob Faibussowitsch PetscCall(SNESDestroy(&snes)); 599566063dSJacob Faibussowitsch PetscCall(PetscFinalize()); 60b122ec5aSJacob Faibussowitsch return 0; 61c4762a1bSJed Brown } 62c4762a1bSJed Brown 63c4762a1bSJed Brown PetscErrorCode FormFunctionLocal(DMDALocalInfo *info,PetscScalar **t,PetscScalar **f,void *ptr) 64c4762a1bSJed Brown { 65c4762a1bSJed Brown PetscInt i,j; 66c4762a1bSJed Brown PetscScalar hx,hy; 67c4762a1bSJed Brown PetscScalar gradup,graddown,gradleft,gradright,gradx,grady; 68c4762a1bSJed Brown PetscScalar coeffup,coeffdown,coeffleft,coeffright; 69c4762a1bSJed Brown 70c4762a1bSJed Brown PetscFunctionBeginUser; 71c4762a1bSJed Brown hx = 1.0/(PetscReal)(info->mx-1); hy = 1.0/(PetscReal)(info->my-1); 72c4762a1bSJed Brown 73c4762a1bSJed Brown /* Evaluate function */ 74c4762a1bSJed Brown for (j=info->ys; j<info->ys+info->ym; j++) { 75c4762a1bSJed Brown for (i=info->xs; i<info->xs+info->xm; i++) { 76c4762a1bSJed Brown 77c4762a1bSJed Brown if (i == 0 || i == info->mx-1 || j == 0 || j == info->my-1) { 78c4762a1bSJed Brown f[j][i] = t[j][i] - (1.0 - (2.0*hx*(PetscReal)i - 1.0)*(2.0*hx*(PetscReal)i - 1.0)); 79c4762a1bSJed Brown } else { 80c4762a1bSJed Brown 81c4762a1bSJed Brown gradup = (t[j+1][i] - t[j][i])/hy; 82c4762a1bSJed Brown graddown = (t[j][i] - t[j-1][i])/hy; 83c4762a1bSJed Brown gradright = (t[j][i+1] - t[j][i])/hx; 84c4762a1bSJed Brown gradleft = (t[j][i] - t[j][i-1])/hx; 85c4762a1bSJed Brown 86c4762a1bSJed Brown gradx = .5*(t[j][i+1] - t[j][i-1])/hx; 87c4762a1bSJed Brown grady = .5*(t[j+1][i] - t[j-1][i])/hy; 88c4762a1bSJed Brown 89c4762a1bSJed Brown coeffup = 1.0/PetscSqrtScalar(1.0 + gradup*gradup + gradx*gradx); 90c4762a1bSJed Brown coeffdown = 1.0/PetscSqrtScalar(1.0 + graddown*graddown + gradx*gradx); 91c4762a1bSJed Brown 92c4762a1bSJed Brown coeffleft = 1.0/PetscSqrtScalar(1.0 + gradleft*gradleft + grady*grady); 93c4762a1bSJed Brown coeffright = 1.0/PetscSqrtScalar(1.0 + gradright*gradright + grady*grady); 94c4762a1bSJed Brown 95c4762a1bSJed Brown f[j][i] = (coeffup*gradup - coeffdown*graddown)*hx + (coeffright*gradright - coeffleft*gradleft)*hy; 96c4762a1bSJed Brown } 97c4762a1bSJed Brown 98c4762a1bSJed Brown } 99c4762a1bSJed Brown } 100c4762a1bSJed Brown PetscFunctionReturn(0); 101c4762a1bSJed Brown } 102c4762a1bSJed Brown 103c4762a1bSJed Brown /*TEST 104c4762a1bSJed Brown 105c4762a1bSJed Brown test: 106c4762a1bSJed Brown args: -pc_type mg -da_refine 1 -ksp_type fgmres 107c4762a1bSJed Brown 108c4762a1bSJed Brown test: 109c4762a1bSJed Brown suffix: 2 110c4762a1bSJed Brown nsize: 2 111c4762a1bSJed Brown args: -pc_type mg -da_refine 1 -ksp_type fgmres 112c4762a1bSJed Brown 11341ba4c6cSHeeho Park test: 11441ba4c6cSHeeho Park suffix: 3 11541ba4c6cSHeeho Park nsize: 2 11641ba4c6cSHeeho Park args: -pc_type mg -da_refine 1 -ksp_type fgmres -snes_type newtontrdc -snes_trdc_use_cauchy false 11741ba4c6cSHeeho Park 11841ba4c6cSHeeho Park test: 11941ba4c6cSHeeho Park suffix: 4 12041ba4c6cSHeeho Park nsize: 2 12141ba4c6cSHeeho Park args: -pc_type mg -da_refine 1 -ksp_type fgmres -snes_type newtontrdc 12241ba4c6cSHeeho 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" 12341ba4c6cSHeeho Park 124c4762a1bSJed Brown TEST*/ 125