static char help[] = "Poisson Problem in 2d and 3d with finite elements.\n\ We solve the Poisson problem in a rectangular\n\ domain, using a parallel unstructured mesh (DMPLEX) to discretize it.\n\ This example supports automatic convergence estimation\n\ and eventually adaptivity.\n\n\n"; #include #include #include #include typedef struct { /* Domain and mesh definition */ PetscBool spectral; /* Look at the spectrum along planes in the solution */ PetscBool shear; /* Shear the domain */ PetscBool adjoint; /* Solve the adjoint problem */ PetscBool homogeneous; /* Use homogeneous boudnary conditions */ PetscBool viewError; /* Output the solution error */ } AppCtx; static PetscErrorCode zero(PetscInt dim, PetscReal time, const PetscReal x[], PetscInt Nc, PetscScalar *u, void *ctx) { *u = 0.0; return 0; } static PetscErrorCode trig_inhomogeneous_u(PetscInt dim, PetscReal time, const PetscReal x[], PetscInt Nc, PetscScalar *u, void *ctx) { PetscInt d; *u = 0.0; for (d = 0; d < dim; ++d) *u += PetscSinReal(2.0*PETSC_PI*x[d]); return 0; } static PetscErrorCode trig_homogeneous_u(PetscInt dim, PetscReal time, const PetscReal x[], PetscInt Nc, PetscScalar *u, void *ctx) { PetscInt d; *u = 1.0; for (d = 0; d < dim; ++d) *u *= PetscSinReal(2.0*PETSC_PI*x[d]); return 0; } /* Compute integral of (residual of solution)*(adjoint solution - projection of adjoint solution) */ static void obj_error_u(PetscInt dim, PetscInt Nf, PetscInt NfAux, const PetscInt uOff[], const PetscInt uOff_x[], const PetscScalar u[], const PetscScalar u_t[], const PetscScalar u_x[], const PetscInt aOff[], const PetscInt aOff_x[], const PetscScalar a[], const PetscScalar a_t[], const PetscScalar a_x[], PetscReal t, const PetscReal x[], PetscInt numConstants, const PetscScalar constants[], PetscScalar obj[]) { obj[0] = a[aOff[0]]*(u[0] - a[aOff[1]]); } static void f0_trig_inhomogeneous_u(PetscInt dim, PetscInt Nf, PetscInt NfAux, const PetscInt uOff[], const PetscInt uOff_x[], const PetscScalar u[], const PetscScalar u_t[], const PetscScalar u_x[], const PetscInt aOff[], const PetscInt aOff_x[], const PetscScalar a[], const PetscScalar a_t[], const PetscScalar a_x[], PetscReal t, const PetscReal x[], PetscInt numConstants, const PetscScalar constants[], PetscScalar f0[]) { PetscInt d; for (d = 0; d < dim; ++d) f0[0] += -4.0*PetscSqr(PETSC_PI)*PetscSinReal(2.0*PETSC_PI*x[d]); } static void f0_trig_homogeneous_u(PetscInt dim, PetscInt Nf, PetscInt NfAux, const PetscInt uOff[], const PetscInt uOff_x[], const PetscScalar u[], const PetscScalar u_t[], const PetscScalar u_x[], const PetscInt aOff[], const PetscInt aOff_x[], const PetscScalar a[], const PetscScalar a_t[], const PetscScalar a_x[], PetscReal t, const PetscReal x[], PetscInt numConstants, const PetscScalar constants[], PetscScalar f0[]) { PetscInt d; for (d = 0; d < dim; ++d) { PetscScalar v = 1.; for (PetscInt e = 0; e < dim; e++) { if (e == d) { v *= -4.0*PetscSqr(PETSC_PI)*PetscSinReal(2.0*PETSC_PI*x[d]); } else { v *= PetscSinReal(2.0*PETSC_PI*x[d]); } } f0[0] += v; } } static void f0_unity_u(PetscInt dim, PetscInt Nf, PetscInt NfAux, const PetscInt uOff[], const PetscInt uOff_x[], const PetscScalar u[], const PetscScalar u_t[], const PetscScalar u_x[], const PetscInt aOff[], const PetscInt aOff_x[], const PetscScalar a[], const PetscScalar a_t[], const PetscScalar a_x[], PetscReal t, const PetscReal x[], PetscInt numConstants, const PetscScalar constants[], PetscScalar f0[]) { f0[0] = 1.0; } static void f0_identityaux_u(PetscInt dim, PetscInt Nf, PetscInt NfAux, const PetscInt uOff[], const PetscInt uOff_x[], const PetscScalar u[], const PetscScalar u_t[], const PetscScalar u_x[], const PetscInt aOff[], const PetscInt aOff_x[], const PetscScalar a[], const PetscScalar a_t[], const PetscScalar a_x[], PetscReal t, const PetscReal x[], PetscInt numConstants, const PetscScalar constants[], PetscScalar f0[]) { f0[0] = a[0]; } static void f1_u(PetscInt dim, PetscInt Nf, PetscInt NfAux, const PetscInt uOff[], const PetscInt uOff_x[], const PetscScalar u[], const PetscScalar u_t[], const PetscScalar u_x[], const PetscInt aOff[], const PetscInt aOff_x[], const PetscScalar a[], const PetscScalar a_t[], const PetscScalar a_x[], PetscReal t, const PetscReal x[], PetscInt numConstants, const PetscScalar constants[], PetscScalar f1[]) { PetscInt d; for (d = 0; d < dim; ++d) f1[d] = u_x[d]; } static void g3_uu(PetscInt dim, PetscInt Nf, PetscInt NfAux, const PetscInt uOff[], const PetscInt uOff_x[], const PetscScalar u[], const PetscScalar u_t[], const PetscScalar u_x[], const PetscInt aOff[], const PetscInt aOff_x[], const PetscScalar a[], const PetscScalar a_t[], const PetscScalar a_x[], PetscReal t, PetscReal u_tShift, const PetscReal x[], PetscInt numConstants, const PetscScalar constants[], PetscScalar g3[]) { PetscInt d; for (d = 0; d < dim; ++d) g3[d*dim+d] = 1.0; } static PetscErrorCode ProcessOptions(MPI_Comm comm, AppCtx *options) { PetscErrorCode ierr; PetscFunctionBeginUser; options->shear = PETSC_FALSE; options->spectral = PETSC_FALSE; options->adjoint = PETSC_FALSE; options->homogeneous = PETSC_FALSE; options->viewError = PETSC_FALSE; ierr = PetscOptionsBegin(comm, "", "Poisson Problem Options", "DMPLEX");CHKERRQ(ierr); CHKERRQ(PetscOptionsBool("-shear", "Shear the domain", "ex13.c", options->shear, &options->shear, NULL)); CHKERRQ(PetscOptionsBool("-spectral", "Look at the spectrum along planes of the solution", "ex13.c", options->spectral, &options->spectral, NULL)); CHKERRQ(PetscOptionsBool("-adjoint", "Solve the adjoint problem", "ex13.c", options->adjoint, &options->adjoint, NULL)); CHKERRQ(PetscOptionsBool("-homogeneous", "Use homogeneous boundary conditions", "ex13.c", options->homogeneous, &options->homogeneous, NULL)); CHKERRQ(PetscOptionsBool("-error_view", "Output the solution error", "ex13.c", options->viewError, &options->viewError, NULL)); ierr = PetscOptionsEnd(); PetscFunctionReturn(0); } static PetscErrorCode CreateSpectralPlanes(DM dm, PetscInt numPlanes, const PetscInt planeDir[], const PetscReal planeCoord[], AppCtx *user) { PetscSection coordSection; Vec coordinates; const PetscScalar *coords; PetscInt dim, p, vStart, vEnd, v; PetscFunctionBeginUser; CHKERRQ(DMGetCoordinateDim(dm, &dim)); CHKERRQ(DMPlexGetDepthStratum(dm, 0, &vStart, &vEnd)); CHKERRQ(DMGetCoordinatesLocal(dm, &coordinates)); CHKERRQ(DMGetCoordinateSection(dm, &coordSection)); CHKERRQ(VecGetArrayRead(coordinates, &coords)); for (p = 0; p < numPlanes; ++p) { DMLabel label; char name[PETSC_MAX_PATH_LEN]; CHKERRQ(PetscSNPrintf(name, PETSC_MAX_PATH_LEN, "spectral_plane_%D", p)); CHKERRQ(DMCreateLabel(dm, name)); CHKERRQ(DMGetLabel(dm, name, &label)); CHKERRQ(DMLabelAddStratum(label, 1)); for (v = vStart; v < vEnd; ++v) { PetscInt off; CHKERRQ(PetscSectionGetOffset(coordSection, v, &off)); if (PetscAbsReal(planeCoord[p] - PetscRealPart(coords[off+planeDir[p]])) < PETSC_SMALL) { CHKERRQ(DMLabelSetValue(label, v, 1)); } } } CHKERRQ(VecRestoreArrayRead(coordinates, &coords)); PetscFunctionReturn(0); } static PetscErrorCode CreateMesh(MPI_Comm comm, AppCtx *user, DM *dm) { PetscFunctionBeginUser; CHKERRQ(DMCreate(comm, dm)); CHKERRQ(DMSetType(*dm, DMPLEX)); CHKERRQ(DMSetFromOptions(*dm)); if (user->shear) CHKERRQ(DMPlexShearGeometry(*dm, DM_X, NULL)); CHKERRQ(DMSetApplicationContext(*dm, user)); CHKERRQ(DMViewFromOptions(*dm, NULL, "-dm_view")); if (user->spectral) { PetscInt planeDir[2] = {0, 1}; PetscReal planeCoord[2] = {0., 1.}; CHKERRQ(CreateSpectralPlanes(*dm, 2, planeDir, planeCoord, user)); } PetscFunctionReturn(0); } static PetscErrorCode SetupPrimalProblem(DM dm, AppCtx *user) { PetscDS ds; DMLabel label; const PetscInt id = 1; PetscPointFunc f0 = user->homogeneous ? f0_trig_homogeneous_u : f0_trig_inhomogeneous_u; PetscErrorCode (*ex)(PetscInt, PetscReal, const PetscReal [], PetscInt, PetscScalar *, void *) = user->homogeneous ? trig_homogeneous_u : trig_inhomogeneous_u; PetscFunctionBeginUser; CHKERRQ(DMGetDS(dm, &ds)); CHKERRQ(PetscDSSetResidual(ds, 0, f0, f1_u)); CHKERRQ(PetscDSSetJacobian(ds, 0, 0, NULL, NULL, NULL, g3_uu)); CHKERRQ(PetscDSSetExactSolution(ds, 0, ex, user)); CHKERRQ(DMGetLabel(dm, "marker", &label)); CHKERRQ(DMAddBoundary(dm, DM_BC_ESSENTIAL, "wall", label, 1, &id, 0, 0, NULL, (void (*)(void)) ex, NULL, user, NULL)); PetscFunctionReturn(0); } static PetscErrorCode SetupAdjointProblem(DM dm, AppCtx *user) { PetscDS ds; DMLabel label; const PetscInt id = 1; PetscFunctionBeginUser; CHKERRQ(DMGetDS(dm, &ds)); CHKERRQ(PetscDSSetResidual(ds, 0, f0_unity_u, f1_u)); CHKERRQ(PetscDSSetJacobian(ds, 0, 0, NULL, NULL, NULL, g3_uu)); CHKERRQ(PetscDSSetObjective(ds, 0, obj_error_u)); CHKERRQ(DMGetLabel(dm, "marker", &label)); CHKERRQ(DMAddBoundary(dm, DM_BC_ESSENTIAL, "wall", label, 1, &id, 0, 0, NULL, (void (*)(void)) zero, NULL, user, NULL)); PetscFunctionReturn(0); } static PetscErrorCode SetupErrorProblem(DM dm, AppCtx *user) { PetscDS prob; PetscFunctionBeginUser; CHKERRQ(DMGetDS(dm, &prob)); PetscFunctionReturn(0); } static PetscErrorCode SetupDiscretization(DM dm, const char name[], PetscErrorCode (*setup)(DM, AppCtx *), AppCtx *user) { DM cdm = dm; PetscFE fe; DMPolytopeType ct; PetscBool simplex; PetscInt dim, cStart; char prefix[PETSC_MAX_PATH_LEN]; PetscFunctionBeginUser; CHKERRQ(DMGetDimension(dm, &dim)); CHKERRQ(DMPlexGetHeightStratum(dm, 0, &cStart, NULL)); CHKERRQ(DMPlexGetCellType(dm, cStart, &ct)); simplex = DMPolytopeTypeGetNumVertices(ct) == DMPolytopeTypeGetDim(ct)+1 ? PETSC_TRUE : PETSC_FALSE; /* Create finite element */ CHKERRQ(PetscSNPrintf(prefix, PETSC_MAX_PATH_LEN, "%s_", name)); CHKERRQ(PetscFECreateDefault(PETSC_COMM_SELF, dim, 1, simplex, name ? prefix : NULL, -1, &fe)); CHKERRQ(PetscObjectSetName((PetscObject) fe, name)); /* Set discretization and boundary conditions for each mesh */ CHKERRQ(DMSetField(dm, 0, NULL, (PetscObject) fe)); CHKERRQ(DMCreateDS(dm)); CHKERRQ((*setup)(dm, user)); while (cdm) { CHKERRQ(DMCopyDisc(dm,cdm)); /* TODO: Check whether the boundary of coarse meshes is marked */ CHKERRQ(DMGetCoarseDM(cdm, &cdm)); } CHKERRQ(PetscFEDestroy(&fe)); PetscFunctionReturn(0); } static PetscErrorCode ComputeSpectral(DM dm, Vec u, PetscInt numPlanes, const PetscInt planeDir[], const PetscReal planeCoord[], AppCtx *user) { MPI_Comm comm; PetscSection coordSection, section; Vec coordinates, uloc; const PetscScalar *coords, *array; PetscInt p; PetscMPIInt size, rank; PetscFunctionBeginUser; CHKERRQ(PetscObjectGetComm((PetscObject) dm, &comm)); CHKERRMPI(MPI_Comm_size(comm, &size)); CHKERRMPI(MPI_Comm_rank(comm, &rank)); CHKERRQ(DMGetLocalVector(dm, &uloc)); CHKERRQ(DMGlobalToLocalBegin(dm, u, INSERT_VALUES, uloc)); CHKERRQ(DMGlobalToLocalEnd(dm, u, INSERT_VALUES, uloc)); CHKERRQ(DMPlexInsertBoundaryValues(dm, PETSC_TRUE, uloc, 0.0, NULL, NULL, NULL)); CHKERRQ(VecViewFromOptions(uloc, NULL, "-sol_view")); CHKERRQ(DMGetLocalSection(dm, §ion)); CHKERRQ(VecGetArrayRead(uloc, &array)); CHKERRQ(DMGetCoordinatesLocal(dm, &coordinates)); CHKERRQ(DMGetCoordinateSection(dm, &coordSection)); CHKERRQ(VecGetArrayRead(coordinates, &coords)); for (p = 0; p < numPlanes; ++p) { DMLabel label; char name[PETSC_MAX_PATH_LEN]; Mat F; Vec x, y; IS stratum; PetscReal *ray, *gray; PetscScalar *rvals, *svals, *gsvals; PetscInt *perm, *nperm; PetscInt n, N, i, j, off, offu; const PetscInt *points; CHKERRQ(PetscSNPrintf(name, PETSC_MAX_PATH_LEN, "spectral_plane_%D", p)); CHKERRQ(DMGetLabel(dm, name, &label)); CHKERRQ(DMLabelGetStratumIS(label, 1, &stratum)); CHKERRQ(ISGetLocalSize(stratum, &n)); CHKERRQ(ISGetIndices(stratum, &points)); CHKERRQ(PetscMalloc2(n, &ray, n, &svals)); for (i = 0; i < n; ++i) { CHKERRQ(PetscSectionGetOffset(coordSection, points[i], &off)); CHKERRQ(PetscSectionGetOffset(section, points[i], &offu)); ray[i] = PetscRealPart(coords[off+((planeDir[p]+1)%2)]); svals[i] = array[offu]; } /* Gather the ray data to proc 0 */ if (size > 1) { PetscMPIInt *cnt, *displs, p; CHKERRQ(PetscCalloc2(size, &cnt, size, &displs)); CHKERRMPI(MPI_Gather(&n, 1, MPIU_INT, cnt, 1, MPIU_INT, 0, comm)); for (p = 1; p < size; ++p) displs[p] = displs[p-1] + cnt[p-1]; N = displs[size-1] + cnt[size-1]; CHKERRQ(PetscMalloc2(N, &gray, N, &gsvals)); CHKERRMPI(MPI_Gatherv(ray, n, MPIU_REAL, gray, cnt, displs, MPIU_REAL, 0, comm)); CHKERRMPI(MPI_Gatherv(svals, n, MPIU_SCALAR, gsvals, cnt, displs, MPIU_SCALAR, 0, comm)); CHKERRQ(PetscFree2(cnt, displs)); } else { N = n; gray = ray; gsvals = svals; } if (rank == 0) { /* Sort point along ray */ CHKERRQ(PetscMalloc2(N, &perm, N, &nperm)); for (i = 0; i < N; ++i) {perm[i] = i;} CHKERRQ(PetscSortRealWithPermutation(N, gray, perm)); /* Count duplicates and squish mapping */ nperm[0] = perm[0]; for (i = 1, j = 1; i < N; ++i) { if (PetscAbsReal(gray[perm[i]] - gray[perm[i-1]]) > PETSC_SMALL) nperm[j++] = perm[i]; } /* Create FFT structs */ CHKERRQ(MatCreateFFT(PETSC_COMM_SELF, 1, &j, MATFFTW, &F)); CHKERRQ(MatCreateVecs(F, &x, &y)); CHKERRQ(PetscObjectSetName((PetscObject) y, name)); CHKERRQ(VecGetArray(x, &rvals)); for (i = 0, j = 0; i < N; ++i) { if (i > 0 && PetscAbsReal(gray[perm[i]] - gray[perm[i-1]]) < PETSC_SMALL) continue; rvals[j] = gsvals[nperm[j]]; ++j; } CHKERRQ(PetscFree2(perm, nperm)); if (size > 1) CHKERRQ(PetscFree2(gray, gsvals)); CHKERRQ(VecRestoreArray(x, &rvals)); /* Do FFT along the ray */ CHKERRQ(MatMult(F, x, y)); /* Chop FFT */ CHKERRQ(VecChop(y, PETSC_SMALL)); CHKERRQ(VecViewFromOptions(x, NULL, "-real_view")); CHKERRQ(VecViewFromOptions(y, NULL, "-fft_view")); CHKERRQ(VecDestroy(&x)); CHKERRQ(VecDestroy(&y)); CHKERRQ(MatDestroy(&F)); } CHKERRQ(ISRestoreIndices(stratum, &points)); CHKERRQ(ISDestroy(&stratum)); CHKERRQ(PetscFree2(ray, svals)); } CHKERRQ(VecRestoreArrayRead(coordinates, &coords)); CHKERRQ(VecRestoreArrayRead(uloc, &array)); CHKERRQ(DMRestoreLocalVector(dm, &uloc)); PetscFunctionReturn(0); } int main(int argc, char **argv) { DM dm; /* Problem specification */ SNES snes; /* Nonlinear solver */ Vec u; /* Solutions */ AppCtx user; /* User-defined work context */ PetscErrorCode ierr; ierr = PetscInitialize(&argc, &argv, NULL, help);if (ierr) return ierr; CHKERRQ(ProcessOptions(PETSC_COMM_WORLD, &user)); /* Primal system */ CHKERRQ(SNESCreate(PETSC_COMM_WORLD, &snes)); CHKERRQ(CreateMesh(PETSC_COMM_WORLD, &user, &dm)); CHKERRQ(SNESSetDM(snes, dm)); CHKERRQ(SetupDiscretization(dm, "potential", SetupPrimalProblem, &user)); CHKERRQ(DMCreateGlobalVector(dm, &u)); CHKERRQ(VecSet(u, 0.0)); CHKERRQ(PetscObjectSetName((PetscObject) u, "potential")); CHKERRQ(DMPlexSetSNESLocalFEM(dm, &user, &user, &user)); CHKERRQ(SNESSetFromOptions(snes)); CHKERRQ(SNESSolve(snes, NULL, u)); CHKERRQ(SNESGetSolution(snes, &u)); CHKERRQ(VecViewFromOptions(u, NULL, "-potential_view")); if (user.viewError) { PetscErrorCode (*sol)(PetscInt, PetscReal, const PetscReal[], PetscInt, PetscScalar[], void *); void *ctx; PetscDS ds; PetscReal error; PetscInt N; CHKERRQ(DMGetDS(dm, &ds)); CHKERRQ(PetscDSGetExactSolution(ds, 0, &sol, &ctx)); CHKERRQ(VecGetSize(u, &N)); CHKERRQ(DMComputeL2Diff(dm, 0.0, &sol, &ctx, u, &error)); CHKERRQ(PetscPrintf(PETSC_COMM_WORLD, "N: %D L2 error: %g\n", N, (double)error)); } if (user.spectral) { PetscInt planeDir[2] = {0, 1}; PetscReal planeCoord[2] = {0., 1.}; CHKERRQ(ComputeSpectral(dm, u, 2, planeDir, planeCoord, &user)); } /* Adjoint system */ if (user.adjoint) { DM dmAdj; SNES snesAdj; Vec uAdj; CHKERRQ(SNESCreate(PETSC_COMM_WORLD, &snesAdj)); CHKERRQ(PetscObjectSetOptionsPrefix((PetscObject) snesAdj, "adjoint_")); CHKERRQ(DMClone(dm, &dmAdj)); CHKERRQ(SNESSetDM(snesAdj, dmAdj)); CHKERRQ(SetupDiscretization(dmAdj, "adjoint", SetupAdjointProblem, &user)); CHKERRQ(DMCreateGlobalVector(dmAdj, &uAdj)); CHKERRQ(VecSet(uAdj, 0.0)); CHKERRQ(PetscObjectSetName((PetscObject) uAdj, "adjoint")); CHKERRQ(DMPlexSetSNESLocalFEM(dmAdj, &user, &user, &user)); CHKERRQ(SNESSetFromOptions(snesAdj)); CHKERRQ(SNESSolve(snesAdj, NULL, uAdj)); CHKERRQ(SNESGetSolution(snesAdj, &uAdj)); CHKERRQ(VecViewFromOptions(uAdj, NULL, "-adjoint_view")); /* Error representation */ { DM dmErr, dmErrAux, dms[2]; Vec errorEst, errorL2, uErr, uErrLoc, uAdjLoc, uAdjProj; IS *subis; PetscReal errorEstTot, errorL2Norm, errorL2Tot; PetscInt N, i; PetscErrorCode (*funcs[1])(PetscInt, PetscReal, const PetscReal [], PetscInt, PetscScalar *, void *) = {user.homogeneous ? trig_homogeneous_u : trig_inhomogeneous_u}; void (*identity[1])(PetscInt, PetscInt, PetscInt, const PetscInt[], const PetscInt[], const PetscScalar[], const PetscScalar[], const PetscScalar[], const PetscInt[], const PetscInt[], const PetscScalar[], const PetscScalar[], const PetscScalar[], PetscReal, const PetscReal[], PetscInt, const PetscScalar[], PetscScalar[]) = {f0_identityaux_u}; void *ctxs[1] = {0}; ctxs[0] = &user; CHKERRQ(DMClone(dm, &dmErr)); CHKERRQ(SetupDiscretization(dmErr, "error", SetupErrorProblem, &user)); CHKERRQ(DMGetGlobalVector(dmErr, &errorEst)); CHKERRQ(DMGetGlobalVector(dmErr, &errorL2)); /* Compute auxiliary data (solution and projection of adjoint solution) */ CHKERRQ(DMGetLocalVector(dmAdj, &uAdjLoc)); CHKERRQ(DMGlobalToLocalBegin(dmAdj, uAdj, INSERT_VALUES, uAdjLoc)); CHKERRQ(DMGlobalToLocalEnd(dmAdj, uAdj, INSERT_VALUES, uAdjLoc)); CHKERRQ(DMGetGlobalVector(dm, &uAdjProj)); CHKERRQ(DMSetAuxiliaryVec(dm, NULL, 0, 0, uAdjLoc)); CHKERRQ(DMProjectField(dm, 0.0, u, identity, INSERT_VALUES, uAdjProj)); CHKERRQ(DMSetAuxiliaryVec(dm, NULL, 0, 0, NULL)); CHKERRQ(DMRestoreLocalVector(dmAdj, &uAdjLoc)); /* Attach auxiliary data */ dms[0] = dm; dms[1] = dm; CHKERRQ(DMCreateSuperDM(dms, 2, &subis, &dmErrAux)); if (0) { PetscSection sec; CHKERRQ(DMGetLocalSection(dms[0], &sec)); CHKERRQ(PetscSectionView(sec, PETSC_VIEWER_STDOUT_WORLD)); CHKERRQ(DMGetLocalSection(dms[1], &sec)); CHKERRQ(PetscSectionView(sec, PETSC_VIEWER_STDOUT_WORLD)); CHKERRQ(DMGetLocalSection(dmErrAux, &sec)); CHKERRQ(PetscSectionView(sec, PETSC_VIEWER_STDOUT_WORLD)); } CHKERRQ(DMViewFromOptions(dmErrAux, NULL, "-dm_err_view")); CHKERRQ(ISViewFromOptions(subis[0], NULL, "-super_is_view")); CHKERRQ(ISViewFromOptions(subis[1], NULL, "-super_is_view")); CHKERRQ(DMGetGlobalVector(dmErrAux, &uErr)); CHKERRQ(VecViewFromOptions(u, NULL, "-map_vec_view")); CHKERRQ(VecViewFromOptions(uAdjProj, NULL, "-map_vec_view")); CHKERRQ(VecViewFromOptions(uErr, NULL, "-map_vec_view")); CHKERRQ(VecISCopy(uErr, subis[0], SCATTER_FORWARD, u)); CHKERRQ(VecISCopy(uErr, subis[1], SCATTER_FORWARD, uAdjProj)); CHKERRQ(DMRestoreGlobalVector(dm, &uAdjProj)); for (i = 0; i < 2; ++i) CHKERRQ(ISDestroy(&subis[i])); CHKERRQ(PetscFree(subis)); CHKERRQ(DMGetLocalVector(dmErrAux, &uErrLoc)); CHKERRQ(DMGlobalToLocalBegin(dm, uErr, INSERT_VALUES, uErrLoc)); CHKERRQ(DMGlobalToLocalEnd(dm, uErr, INSERT_VALUES, uErrLoc)); CHKERRQ(DMRestoreGlobalVector(dmErrAux, &uErr)); CHKERRQ(DMSetAuxiliaryVec(dmAdj, NULL, 0, 0, uErrLoc)); /* Compute cellwise error estimate */ CHKERRQ(VecSet(errorEst, 0.0)); CHKERRQ(DMPlexComputeCellwiseIntegralFEM(dmAdj, uAdj, errorEst, &user)); CHKERRQ(DMSetAuxiliaryVec(dmAdj, NULL, 0, 0, NULL)); CHKERRQ(DMRestoreLocalVector(dmErrAux, &uErrLoc)); CHKERRQ(DMDestroy(&dmErrAux)); /* Plot cellwise error vector */ CHKERRQ(VecViewFromOptions(errorEst, NULL, "-error_view")); /* Compute ratio of estimate (sum over cells) with actual L_2 error */ CHKERRQ(DMComputeL2Diff(dm, 0.0, funcs, ctxs, u, &errorL2Norm)); CHKERRQ(DMPlexComputeL2DiffVec(dm, 0.0, funcs, ctxs, u, errorL2)); CHKERRQ(VecViewFromOptions(errorL2, NULL, "-l2_error_view")); CHKERRQ(VecNorm(errorL2, NORM_INFINITY, &errorL2Tot)); CHKERRQ(VecNorm(errorEst, NORM_INFINITY, &errorEstTot)); CHKERRQ(VecGetSize(errorEst, &N)); CHKERRQ(VecPointwiseDivide(errorEst, errorEst, errorL2)); CHKERRQ(PetscObjectSetName((PetscObject) errorEst, "Error ratio")); CHKERRQ(VecViewFromOptions(errorEst, NULL, "-error_ratio_view")); CHKERRQ(PetscPrintf(PETSC_COMM_WORLD, "N: %D L2 error: %g Error Ratio: %g/%g = %g\n", N, (double) errorL2Norm, (double) errorEstTot, (double) PetscSqrtReal(errorL2Tot), (double) errorEstTot/PetscSqrtReal(errorL2Tot))); CHKERRQ(DMRestoreGlobalVector(dmErr, &errorEst)); CHKERRQ(DMRestoreGlobalVector(dmErr, &errorL2)); CHKERRQ(DMDestroy(&dmErr)); } CHKERRQ(DMDestroy(&dmAdj)); CHKERRQ(VecDestroy(&uAdj)); CHKERRQ(SNESDestroy(&snesAdj)); } /* Cleanup */ CHKERRQ(VecDestroy(&u)); CHKERRQ(SNESDestroy(&snes)); CHKERRQ(DMDestroy(&dm)); ierr = PetscFinalize(); return ierr; } /*TEST test: # Using -dm_refine 2 -convest_num_refine 3 we get L_2 convergence rate: 1.9 suffix: 2d_p1_conv requires: triangle args: -potential_petscspace_degree 1 -snes_convergence_estimate -convest_num_refine 2 test: # Using -dm_refine 2 -convest_num_refine 3 we get L_2 convergence rate: 2.9 suffix: 2d_p2_conv requires: triangle args: -potential_petscspace_degree 2 -snes_convergence_estimate -convest_num_refine 2 test: # Using -dm_refine 2 -convest_num_refine 3 we get L_2 convergence rate: 3.9 suffix: 2d_p3_conv requires: triangle args: -potential_petscspace_degree 3 -snes_convergence_estimate -convest_num_refine 2 test: # Using -dm_refine 2 -convest_num_refine 3 we get L_2 convergence rate: 1.9 suffix: 2d_q1_conv args: -dm_plex_simplex 0 -potential_petscspace_degree 1 -snes_convergence_estimate -convest_num_refine 2 test: # Using -dm_refine 2 -convest_num_refine 3 we get L_2 convergence rate: 2.9 suffix: 2d_q2_conv args: -dm_plex_simplex 0 -potential_petscspace_degree 2 -snes_convergence_estimate -convest_num_refine 2 test: # Using -dm_refine 2 -convest_num_refine 3 we get L_2 convergence rate: 3.9 suffix: 2d_q3_conv args: -dm_plex_simplex 0 -potential_petscspace_degree 3 -snes_convergence_estimate -convest_num_refine 2 test: # Using -dm_refine 2 -convest_num_refine 3 we get L_2 convergence rate: 1.9 suffix: 2d_q1_shear_conv args: -dm_plex_simplex 0 -shear -potential_petscspace_degree 1 -snes_convergence_estimate -convest_num_refine 2 test: # Using -dm_refine 2 -convest_num_refine 3 we get L_2 convergence rate: 2.9 suffix: 2d_q2_shear_conv args: -dm_plex_simplex 0 -shear -potential_petscspace_degree 2 -snes_convergence_estimate -convest_num_refine 2 test: # Using -dm_refine 2 -convest_num_refine 3 we get L_2 convergence rate: 3.9 suffix: 2d_q3_shear_conv args: -dm_plex_simplex 0 -shear -potential_petscspace_degree 3 -snes_convergence_estimate -convest_num_refine 2 test: # Using -convest_num_refine 3 we get L_2 convergence rate: 1.7 suffix: 3d_p1_conv requires: ctetgen args: -dm_plex_dim 3 -dm_refine 1 -potential_petscspace_degree 1 -snes_convergence_estimate -convest_num_refine 1 test: # Using -dm_refine 1 -convest_num_refine 3 we get L_2 convergence rate: 2.8 suffix: 3d_p2_conv requires: ctetgen args: -dm_plex_dim 3 -dm_plex_box_faces 2,2,2 -potential_petscspace_degree 2 -snes_convergence_estimate -convest_num_refine 1 test: # Using -dm_refine 1 -convest_num_refine 3 we get L_2 convergence rate: 4.0 suffix: 3d_p3_conv requires: ctetgen args: -dm_plex_dim 3 -dm_plex_box_faces 2,2,2 -potential_petscspace_degree 3 -snes_convergence_estimate -convest_num_refine 1 test: # Using -dm_refine 2 -convest_num_refine 3 we get L_2 convergence rate: 1.8 suffix: 3d_q1_conv args: -dm_plex_dim 3 -dm_plex_simplex 0 -dm_refine 1 -potential_petscspace_degree 1 -snes_convergence_estimate -convest_num_refine 1 test: # Using -dm_refine 2 -convest_num_refine 3 we get L_2 convergence rate: 2.8 suffix: 3d_q2_conv args: -dm_plex_dim 3 -dm_plex_simplex 0 -potential_petscspace_degree 2 -snes_convergence_estimate -convest_num_refine 1 test: # Using -dm_refine 1 -convest_num_refine 3 we get L_2 convergence rate: 3.8 suffix: 3d_q3_conv args: -dm_plex_dim 3 -dm_plex_simplex 0 -potential_petscspace_degree 3 -snes_convergence_estimate -convest_num_refine 1 test: suffix: 2d_p1_fas_full requires: triangle args: -potential_petscspace_degree 1 -dm_refine_hierarchy 5 \ -snes_max_it 1 -snes_type fas -snes_fas_levels 5 -snes_fas_type full -snes_fas_full_total \ -fas_coarse_snes_monitor -fas_coarse_snes_max_it 1 -fas_coarse_ksp_atol 1.e-13 \ -fas_levels_snes_monitor -fas_levels_snes_max_it 1 -fas_levels_snes_type newtonls \ -fas_levels_pc_type none -fas_levels_ksp_max_it 2 -fas_levels_ksp_converged_maxits -fas_levels_ksp_type chebyshev \ -fas_levels_esteig_ksp_type cg -fas_levels_ksp_chebyshev_esteig 0,0.25,0,1.1 -fas_levels_esteig_ksp_max_it 10 test: suffix: 2d_p1_fas_full_homogeneous requires: triangle args: -homogeneous -potential_petscspace_degree 1 -dm_refine_hierarchy 5 \ -snes_max_it 1 -snes_type fas -snes_fas_levels 5 -snes_fas_type full \ -fas_coarse_snes_monitor -fas_coarse_snes_max_it 1 -fas_coarse_ksp_atol 1.e-13 \ -fas_levels_snes_monitor -fas_levels_snes_max_it 1 -fas_levels_snes_type newtonls \ -fas_levels_pc_type none -fas_levels_ksp_max_it 2 -fas_levels_ksp_converged_maxits -fas_levels_ksp_type chebyshev \ -fas_levels_esteig_ksp_type cg -fas_levels_ksp_chebyshev_esteig 0,0.25,0,1.1 -fas_levels_esteig_ksp_max_it 10 test: suffix: 2d_p1_scalable requires: triangle args: -potential_petscspace_degree 1 -dm_refine 3 \ -ksp_type cg -ksp_rtol 1.e-11 -ksp_norm_type unpreconditioned \ -pc_type gamg -pc_gamg_esteig_ksp_type cg -pc_gamg_esteig_ksp_max_it 10 \ -pc_gamg_type agg -pc_gamg_agg_nsmooths 1 \ -pc_gamg_coarse_eq_limit 1000 \ -pc_gamg_square_graph 1 \ -pc_gamg_threshold 0.05 \ -pc_gamg_threshold_scale .0 \ -mg_levels_ksp_type chebyshev \ -mg_levels_ksp_max_it 1 \ -mg_levels_pc_type jacobi \ -matptap_via scalable test: suffix: 2d_p1_gmg_vcycle requires: triangle args: -potential_petscspace_degree 1 -dm_plex_box_faces 2,2 -dm_refine_hierarchy 3 \ -ksp_rtol 5e-10 -pc_type mg \ -mg_levels_ksp_max_it 1 \ -mg_levels_esteig_ksp_type cg \ -mg_levels_esteig_ksp_max_it 10 \ -mg_levels_ksp_chebyshev_esteig 0,0.1,0,1.1 \ -mg_levels_pc_type jacobi test: suffix: 2d_p1_gmg_fcycle requires: triangle args: -potential_petscspace_degree 1 -dm_plex_box_faces 2,2 -dm_refine_hierarchy 3 \ -ksp_rtol 5e-10 -pc_type mg -pc_mg_type full \ -mg_levels_ksp_max_it 2 \ -mg_levels_esteig_ksp_type cg \ -mg_levels_esteig_ksp_max_it 10 \ -mg_levels_ksp_chebyshev_esteig 0,0.1,0,1.1 \ -mg_levels_pc_type jacobi test: suffix: 2d_p1_gmg_vcycle_adapt requires: triangle bamg args: -potential_petscspace_degree 1 -dm_plex_box_faces 2,2 -dm_refine_hierarchy 3 \ -ksp_rtol 5e-10 -pc_type mg -pc_mg_galerkin -pc_mg_adapt_interp -pc_mg_adapt_interp_coarse_space harmonic -pc_mg_adapt_interp_n 8 \ -mg_levels_ksp_max_it 1 \ -mg_levels_esteig_ksp_type cg \ -mg_levels_esteig_ksp_max_it 10 \ -mg_levels_ksp_chebyshev_esteig 0,0.1,0,1.1 \ -mg_levels_pc_type jacobi test: suffix: 2d_p1_spectral_0 requires: triangle fftw !complex args: -dm_plex_box_faces 1,1 -potential_petscspace_degree 1 -dm_refine 6 -spectral -fft_view test: suffix: 2d_p1_spectral_1 requires: triangle fftw !complex nsize: 2 args: -dm_plex_box_faces 4,4 -potential_petscspace_degree 1 -spectral -fft_view test: suffix: 2d_p1_adj_0 requires: triangle args: -potential_petscspace_degree 1 -dm_refine 1 -adjoint -adjoint_petscspace_degree 1 -error_petscspace_degree 0 test: nsize: 2 requires: !sycl kokkos_kernels suffix: kokkos args: -dm_plex_dim 3 -dm_plex_box_faces 2,3,6 -petscpartitioner_type simple -dm_plex_simplex 0 -potential_petscspace_degree 1 \ -dm_refine 0 -ksp_type cg -ksp_rtol 1.e-11 -ksp_norm_type unpreconditioned -pc_type gamg -pc_gamg_coarse_eq_limit 1000 -pc_gamg_threshold 0.0 \ -pc_gamg_threshold_scale .5 -mg_levels_ksp_type chebyshev -mg_levels_ksp_max_it 2 -pc_gamg_esteig_ksp_type cg -pc_gamg_esteig_ksp_max_it 10 \ -ksp_monitor -snes_monitor -dm_view -dm_mat_type aijkokkos -dm_vec_type kokkos TEST*/