Actual source code: ex29.c

      1: /*
      2: Added at the request of Marc Garbey.

      4: Inhomogeneous Laplacian in 2D. Modeled by the partial differential equation

      6:    -div \rho grad u = f,  0 < x,y < 1,

      8: with forcing function

     10:    f = e^{-x^2/\nu} e^{-y^2/\nu}

     12: with Dirichlet boundary conditions

     14:    u = f(x,y) for x = 0, x = 1, y = 0, y = 1

     16: or pure Neumman boundary conditions

     18: This uses multigrid to solve the linear system
     19: */

     21: static char help[] = "Solves 2D inhomogeneous Laplacian using multigrid.\n\n";

     23: #include <petscdm.h>
     24: #include <petscdmda.h>
     25: #include <petscksp.h>

     27: extern PetscErrorCode ComputeMatrix(KSP, Mat, Mat, void *);
     28: extern PetscErrorCode ComputeRHS(KSP, Vec, void *);

     30: typedef enum {
     31:   DIRICHLET,
     32:   NEUMANN
     33: } BCType;

     35: typedef struct {
     36:   PetscReal rho;
     37:   PetscReal nu;
     38:   BCType    bcType;
     39: } UserContext;

     41: int main(int argc, char **argv)
     42: {
     43:   KSP         ksp;
     44:   DM          da;
     45:   UserContext user;
     46:   const char *bcTypes[2] = {"dirichlet", "neumann"};
     47:   PetscInt    bc;
     48:   Vec         b, x;
     49:   PetscBool   testsolver = PETSC_FALSE;

     51:   PetscFunctionBeginUser;
     52:   PetscCall(PetscInitialize(&argc, &argv, NULL, help));
     53:   PetscCall(KSPCreate(PETSC_COMM_WORLD, &ksp));
     54:   PetscCall(DMDACreate2d(PETSC_COMM_WORLD, DM_BOUNDARY_NONE, DM_BOUNDARY_NONE, DMDA_STENCIL_STAR, 3, 3, PETSC_DECIDE, PETSC_DECIDE, 1, 1, 0, 0, &da));
     55:   PetscCall(DMSetFromOptions(da));
     56:   PetscCall(DMSetUp(da));
     57:   PetscCall(DMDASetUniformCoordinates(da, 0, 1, 0, 1, 0, 0));
     58:   PetscCall(DMDASetFieldName(da, 0, "Pressure"));

     60:   PetscOptionsBegin(PETSC_COMM_WORLD, "", "Options for the inhomogeneous Poisson equation", "DMqq");
     61:   user.rho = 1.0;
     62:   PetscCall(PetscOptionsReal("-rho", "The conductivity", "ex29.c", user.rho, &user.rho, NULL));
     63:   user.nu = 0.1;
     64:   PetscCall(PetscOptionsReal("-nu", "The width of the Gaussian source", "ex29.c", user.nu, &user.nu, NULL));
     65:   bc = (PetscInt)DIRICHLET;
     66:   PetscCall(PetscOptionsEList("-bc_type", "Type of boundary condition", "ex29.c", bcTypes, 2, bcTypes[0], &bc, NULL));
     67:   user.bcType = (BCType)bc;
     68:   PetscCall(PetscOptionsBool("-testsolver", "Run solver multiple times, useful for performance studies of solver", "ex29.c", testsolver, &testsolver, NULL));
     69:   PetscOptionsEnd();

     71:   PetscCall(KSPSetComputeRHS(ksp, ComputeRHS, &user));
     72:   PetscCall(KSPSetComputeOperators(ksp, ComputeMatrix, &user));
     73:   PetscCall(KSPSetDM(ksp, da));
     74:   PetscCall(KSPSetFromOptions(ksp));
     75:   PetscCall(KSPSetUp(ksp));
     76:   PetscCall(KSPSolve(ksp, NULL, NULL));

     78:   if (testsolver) {
     79:     PetscCall(KSPGetSolution(ksp, &x));
     80:     PetscCall(KSPGetRhs(ksp, &b));
     81:     PetscCall(KSPSetDMActive(ksp, PETSC_FALSE));
     82:     PetscCall(KSPSolve(ksp, b, x));
     83:     {
     84:       PetscLogStage stage;
     85:       PetscInt      i, n = 20;

     87:       PetscCall(PetscLogStageRegister("Solve only", &stage));
     88:       PetscCall(PetscLogStagePush(stage));
     89:       for (i = 0; i < n; i++) PetscCall(KSPSolve(ksp, b, x));
     90:       PetscCall(PetscLogStagePop());
     91:     }
     92:   }

     94:   PetscCall(DMDestroy(&da));
     95:   PetscCall(KSPDestroy(&ksp));
     96:   PetscCall(PetscFinalize());
     97:   return 0;
     98: }

    100: PetscErrorCode ComputeRHS(KSP ksp, Vec b, void *ctx)
    101: {
    102:   UserContext  *user = (UserContext *)ctx;
    103:   PetscInt      i, j, mx, my, xm, ym, xs, ys;
    104:   PetscScalar   Hx, Hy;
    105:   PetscScalar **array;
    106:   DM            da;

    108:   PetscFunctionBeginUser;
    109:   PetscCall(KSPGetDM(ksp, &da));
    110:   PetscCall(DMDAGetInfo(da, 0, &mx, &my, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0));
    111:   Hx = 1.0 / (PetscReal)(mx - 1);
    112:   Hy = 1.0 / (PetscReal)(my - 1);
    113:   PetscCall(DMDAGetCorners(da, &xs, &ys, 0, &xm, &ym, 0));
    114:   PetscCall(DMDAVecGetArray(da, b, &array));
    115:   for (j = ys; j < ys + ym; j++) {
    116:     for (i = xs; i < xs + xm; i++) array[j][i] = PetscExpScalar(-((PetscReal)i * Hx) * ((PetscReal)i * Hx) / user->nu) * PetscExpScalar(-((PetscReal)j * Hy) * ((PetscReal)j * Hy) / user->nu) * Hx * Hy;
    117:   }
    118:   PetscCall(DMDAVecRestoreArray(da, b, &array));
    119:   PetscCall(VecAssemblyBegin(b));
    120:   PetscCall(VecAssemblyEnd(b));

    122:   /* force right-hand side to be consistent for singular matrix */
    123:   /* note this is really a hack, normally the model would provide you with a consistent right handside */
    124:   if (user->bcType == NEUMANN) {
    125:     MatNullSpace nullspace;

    127:     PetscCall(MatNullSpaceCreate(PETSC_COMM_WORLD, PETSC_TRUE, 0, 0, &nullspace));
    128:     PetscCall(MatNullSpaceRemove(nullspace, b));
    129:     PetscCall(MatNullSpaceDestroy(&nullspace));
    130:   }
    131:   PetscFunctionReturn(PETSC_SUCCESS);
    132: }

    134: PetscErrorCode ComputeRho(PetscInt i, PetscInt j, PetscInt mx, PetscInt my, PetscReal centerRho, PetscReal *rho)
    135: {
    136:   PetscFunctionBeginUser;
    137:   if ((i > mx / 3.0) && (i < 2.0 * mx / 3.0) && (j > my / 3.0) && (j < 2.0 * my / 3.0)) {
    138:     *rho = centerRho;
    139:   } else {
    140:     *rho = 1.0;
    141:   }
    142:   PetscFunctionReturn(PETSC_SUCCESS);
    143: }

    145: PetscErrorCode ComputeMatrix(KSP ksp, Mat J, Mat jac, void *ctx)
    146: {
    147:   UserContext *user = (UserContext *)ctx;
    148:   PetscReal    centerRho;
    149:   PetscInt     i, j, mx, my, xm, ym, xs, ys;
    150:   PetscScalar  v[5];
    151:   PetscReal    Hx, Hy, HydHx, HxdHy, rho;
    152:   MatStencil   row, col[5];
    153:   DM           da;
    154:   PetscBool    check_matis = PETSC_FALSE;

    156:   PetscFunctionBeginUser;
    157:   PetscCall(KSPGetDM(ksp, &da));
    158:   centerRho = user->rho;
    159:   PetscCall(DMDAGetInfo(da, 0, &mx, &my, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0));
    160:   Hx    = 1.0 / (PetscReal)(mx - 1);
    161:   Hy    = 1.0 / (PetscReal)(my - 1);
    162:   HxdHy = Hx / Hy;
    163:   HydHx = Hy / Hx;
    164:   PetscCall(DMDAGetCorners(da, &xs, &ys, 0, &xm, &ym, 0));
    165:   for (j = ys; j < ys + ym; j++) {
    166:     for (i = xs; i < xs + xm; i++) {
    167:       row.i = i;
    168:       row.j = j;
    169:       PetscCall(ComputeRho(i, j, mx, my, centerRho, &rho));
    170:       if (i == 0 || j == 0 || i == mx - 1 || j == my - 1) {
    171:         if (user->bcType == DIRICHLET) {
    172:           v[0] = 2.0 * rho * (HxdHy + HydHx);
    173:           PetscCall(MatSetValuesStencil(jac, 1, &row, 1, &row, v, INSERT_VALUES));
    174:         } else if (user->bcType == NEUMANN) {
    175:           PetscInt numx = 0, numy = 0, num = 0;
    176:           if (j != 0) {
    177:             v[num]     = -rho * HxdHy;
    178:             col[num].i = i;
    179:             col[num].j = j - 1;
    180:             numy++;
    181:             num++;
    182:           }
    183:           if (i != 0) {
    184:             v[num]     = -rho * HydHx;
    185:             col[num].i = i - 1;
    186:             col[num].j = j;
    187:             numx++;
    188:             num++;
    189:           }
    190:           if (i != mx - 1) {
    191:             v[num]     = -rho * HydHx;
    192:             col[num].i = i + 1;
    193:             col[num].j = j;
    194:             numx++;
    195:             num++;
    196:           }
    197:           if (j != my - 1) {
    198:             v[num]     = -rho * HxdHy;
    199:             col[num].i = i;
    200:             col[num].j = j + 1;
    201:             numy++;
    202:             num++;
    203:           }
    204:           v[num]     = numx * rho * HydHx + numy * rho * HxdHy;
    205:           col[num].i = i;
    206:           col[num].j = j;
    207:           num++;
    208:           PetscCall(MatSetValuesStencil(jac, 1, &row, num, col, v, INSERT_VALUES));
    209:         }
    210:       } else {
    211:         v[0]     = -rho * HxdHy;
    212:         col[0].i = i;
    213:         col[0].j = j - 1;
    214:         v[1]     = -rho * HydHx;
    215:         col[1].i = i - 1;
    216:         col[1].j = j;
    217:         v[2]     = 2.0 * rho * (HxdHy + HydHx);
    218:         col[2].i = i;
    219:         col[2].j = j;
    220:         v[3]     = -rho * HydHx;
    221:         col[3].i = i + 1;
    222:         col[3].j = j;
    223:         v[4]     = -rho * HxdHy;
    224:         col[4].i = i;
    225:         col[4].j = j + 1;
    226:         PetscCall(MatSetValuesStencil(jac, 1, &row, 5, col, v, INSERT_VALUES));
    227:       }
    228:     }
    229:   }
    230:   PetscCall(MatAssemblyBegin(jac, MAT_FINAL_ASSEMBLY));
    231:   PetscCall(MatAssemblyEnd(jac, MAT_FINAL_ASSEMBLY));
    232:   PetscCall(MatViewFromOptions(jac, NULL, "-view_mat"));
    233:   PetscCall(PetscOptionsGetBool(NULL, NULL, "-check_matis", &check_matis, NULL));
    234:   if (check_matis) {
    235:     void (*f)(void);
    236:     Mat       J2;
    237:     MatType   jtype;
    238:     PetscReal nrm;

    240:     PetscCall(MatGetType(jac, &jtype));
    241:     PetscCall(MatConvert(jac, MATIS, MAT_INITIAL_MATRIX, &J2));
    242:     PetscCall(MatViewFromOptions(J2, NULL, "-view_conv"));
    243:     PetscCall(MatConvert(J2, jtype, MAT_INPLACE_MATRIX, &J2));
    244:     PetscCall(MatGetOperation(jac, MATOP_VIEW, &f));
    245:     PetscCall(MatSetOperation(J2, MATOP_VIEW, f));
    246:     PetscCall(MatSetDM(J2, da));
    247:     PetscCall(MatViewFromOptions(J2, NULL, "-view_conv_assembled"));
    248:     PetscCall(MatAXPY(J2, -1., jac, DIFFERENT_NONZERO_PATTERN));
    249:     PetscCall(MatNorm(J2, NORM_FROBENIUS, &nrm));
    250:     PetscCall(PetscPrintf(PETSC_COMM_WORLD, "Error MATIS %g\n", (double)nrm));
    251:     PetscCall(MatViewFromOptions(J2, NULL, "-view_conv_err"));
    252:     PetscCall(MatDestroy(&J2));
    253:   }
    254:   if (user->bcType == NEUMANN) {
    255:     MatNullSpace nullspace;

    257:     PetscCall(MatNullSpaceCreate(PETSC_COMM_WORLD, PETSC_TRUE, 0, 0, &nullspace));
    258:     PetscCall(MatSetNullSpace(J, nullspace));
    259:     PetscCall(MatNullSpaceDestroy(&nullspace));
    260:   }
    261:   PetscFunctionReturn(PETSC_SUCCESS);
    262: }

    264: /*TEST

    266:    test:
    267:       args: -pc_type mg -pc_mg_type full -ksp_type fgmres -ksp_monitor_short -da_refine 8 -ksp_rtol 1.e-3

    269:    test:
    270:       suffix: 2
    271:       args: -bc_type neumann -pc_type mg -pc_mg_type full -ksp_type fgmres -ksp_monitor_short -da_refine 8 -mg_coarse_pc_factor_shift_type nonzero
    272:       requires: !single

    274:    test:
    275:       suffix: telescope
    276:       nsize: 4
    277:       args: -ksp_monitor_short -da_grid_x 257 -da_grid_y 257 -pc_type mg -pc_mg_galerkin pmat -pc_mg_levels 4 -ksp_type richardson -mg_levels_ksp_type chebyshev -mg_levels_pc_type jacobi -mg_coarse_pc_type telescope -mg_coarse_pc_telescope_ignore_kspcomputeoperators -mg_coarse_telescope_pc_type mg -mg_coarse_telescope_pc_mg_galerkin pmat -mg_coarse_telescope_pc_mg_levels 3 -mg_coarse_telescope_mg_levels_ksp_type chebyshev -mg_coarse_telescope_mg_levels_pc_type jacobi -mg_coarse_pc_telescope_reduction_factor 4

    279:    test:
    280:       suffix: 3
    281:       args: -ksp_view -da_refine 2 -pc_type mg -pc_mg_distinct_smoothup -mg_levels_up_pc_type jacobi

    283:    test:
    284:       suffix: 4
    285:       args: -ksp_view -da_refine 2 -pc_type mg -pc_mg_distinct_smoothup -mg_levels_up_ksp_max_it 3 -mg_levels_ksp_max_it 4

    287:    testset:
    288:      suffix: aniso
    289:      args: -da_grid_x 10 -da_grid_y 2 -da_refine 2 -pc_type mg -ksp_monitor_short -mg_levels_ksp_max_it 6 -mg_levels_pc_type jacobi
    290:      test:
    291:        suffix: first
    292:        args: -mg_levels_ksp_chebyshev_kind first
    293:      test:
    294:        suffix: fourth
    295:        args: -mg_levels_ksp_chebyshev_kind fourth
    296:      test:
    297:        suffix: opt_fourth
    298:        args: -mg_levels_ksp_chebyshev_kind opt_fourth

    300:    test:
    301:       suffix: 5
    302:       nsize: 2
    303:       requires: hypre !complex
    304:       args: -pc_type mg -da_refine 2 -ksp_monitor -matptap_via hypre -pc_mg_galerkin both

    306:    test:
    307:       suffix: 6
    308:       args: -pc_type svd -pc_svd_monitor ::all

    310: TEST*/