1 static char help[] = "Poisson Problem in 2d and 3d with finite elements.\n\ 2 We solve the Poisson problem in a rectangular\n\ 3 domain, using a parallel unstructured mesh (DMPLEX) to discretize it.\n\ 4 This example supports automatic convergence estimation\n\ 5 and eventually adaptivity.\n\n\n"; 6 7 #include <petscdmplex.h> 8 #include <petscsnes.h> 9 #include <petscds.h> 10 #include <petscconvest.h> 11 12 typedef struct { 13 /* Domain and mesh definition */ 14 PetscBool spectral; /* Look at the spectrum along planes in the solution */ 15 PetscBool shear; /* Shear the domain */ 16 PetscBool adjoint; /* Solve the adjoint problem */ 17 PetscBool homogeneous; 18 } AppCtx; 19 20 static PetscErrorCode zero(PetscInt dim, PetscReal time, const PetscReal x[], PetscInt Nc, PetscScalar *u, void *ctx) 21 { 22 *u = 0.0; 23 return 0; 24 } 25 26 static PetscErrorCode trig_inhomogeneous_u(PetscInt dim, PetscReal time, const PetscReal x[], PetscInt Nc, PetscScalar *u, void *ctx) 27 { 28 PetscInt d; 29 *u = 0.0; 30 for (d = 0; d < dim; ++d) *u += PetscSinReal(2.0*PETSC_PI*x[d]); 31 return 0; 32 } 33 34 static PetscErrorCode trig_homogeneous_u(PetscInt dim, PetscReal time, const PetscReal x[], PetscInt Nc, PetscScalar *u, void *ctx) 35 { 36 PetscInt d; 37 *u = 1.0; 38 for (d = 0; d < dim; ++d) *u *= PetscSinReal(2.0*PETSC_PI*x[d]); 39 return 0; 40 } 41 42 /* Compute integral of (residual of solution)*(adjoint solution - projection of adjoint solution) */ 43 static void obj_error_u(PetscInt dim, PetscInt Nf, PetscInt NfAux, 44 const PetscInt uOff[], const PetscInt uOff_x[], const PetscScalar u[], const PetscScalar u_t[], const PetscScalar u_x[], 45 const PetscInt aOff[], const PetscInt aOff_x[], const PetscScalar a[], const PetscScalar a_t[], const PetscScalar a_x[], 46 PetscReal t, const PetscReal x[], PetscInt numConstants, const PetscScalar constants[], PetscScalar obj[]) 47 { 48 obj[0] = a[aOff[0]]*(u[0] - a[aOff[1]]); 49 } 50 51 static void f0_trig_inhomogeneous_u(PetscInt dim, PetscInt Nf, PetscInt NfAux, 52 const PetscInt uOff[], const PetscInt uOff_x[], const PetscScalar u[], const PetscScalar u_t[], const PetscScalar u_x[], 53 const PetscInt aOff[], const PetscInt aOff_x[], const PetscScalar a[], const PetscScalar a_t[], const PetscScalar a_x[], 54 PetscReal t, const PetscReal x[], PetscInt numConstants, const PetscScalar constants[], PetscScalar f0[]) 55 { 56 PetscInt d; 57 for (d = 0; d < dim; ++d) f0[0] += -4.0*PetscSqr(PETSC_PI)*PetscSinReal(2.0*PETSC_PI*x[d]); 58 } 59 60 static void f0_trig_homogeneous_u(PetscInt dim, PetscInt Nf, PetscInt NfAux, 61 const PetscInt uOff[], const PetscInt uOff_x[], const PetscScalar u[], const PetscScalar u_t[], const PetscScalar u_x[], 62 const PetscInt aOff[], const PetscInt aOff_x[], const PetscScalar a[], const PetscScalar a_t[], const PetscScalar a_x[], 63 PetscReal t, const PetscReal x[], PetscInt numConstants, const PetscScalar constants[], PetscScalar f0[]) 64 { 65 PetscInt d; 66 for (d = 0; d < dim; ++d) { 67 PetscScalar v = 1.; 68 for (PetscInt e = 0; e < dim; e++) { 69 if (e == d) { 70 v *= -4.0*PetscSqr(PETSC_PI)*PetscSinReal(2.0*PETSC_PI*x[d]); 71 } else { 72 v *= PetscSinReal(2.0*PETSC_PI*x[d]); 73 } 74 } 75 f0[0] += v; 76 } 77 } 78 79 static void f0_unity_u(PetscInt dim, PetscInt Nf, PetscInt NfAux, 80 const PetscInt uOff[], const PetscInt uOff_x[], const PetscScalar u[], const PetscScalar u_t[], const PetscScalar u_x[], 81 const PetscInt aOff[], const PetscInt aOff_x[], const PetscScalar a[], const PetscScalar a_t[], const PetscScalar a_x[], 82 PetscReal t, const PetscReal x[], PetscInt numConstants, const PetscScalar constants[], PetscScalar f0[]) 83 { 84 f0[0] = 1.0; 85 } 86 87 static void f0_identityaux_u(PetscInt dim, PetscInt Nf, PetscInt NfAux, 88 const PetscInt uOff[], const PetscInt uOff_x[], const PetscScalar u[], const PetscScalar u_t[], const PetscScalar u_x[], 89 const PetscInt aOff[], const PetscInt aOff_x[], const PetscScalar a[], const PetscScalar a_t[], const PetscScalar a_x[], 90 PetscReal t, const PetscReal x[], PetscInt numConstants, const PetscScalar constants[], PetscScalar f0[]) 91 { 92 f0[0] = a[0]; 93 } 94 95 static void f1_u(PetscInt dim, PetscInt Nf, PetscInt NfAux, 96 const PetscInt uOff[], const PetscInt uOff_x[], const PetscScalar u[], const PetscScalar u_t[], const PetscScalar u_x[], 97 const PetscInt aOff[], const PetscInt aOff_x[], const PetscScalar a[], const PetscScalar a_t[], const PetscScalar a_x[], 98 PetscReal t, const PetscReal x[], PetscInt numConstants, const PetscScalar constants[], PetscScalar f1[]) 99 { 100 PetscInt d; 101 for (d = 0; d < dim; ++d) f1[d] = u_x[d]; 102 } 103 104 static void g3_uu(PetscInt dim, PetscInt Nf, PetscInt NfAux, 105 const PetscInt uOff[], const PetscInt uOff_x[], const PetscScalar u[], const PetscScalar u_t[], const PetscScalar u_x[], 106 const PetscInt aOff[], const PetscInt aOff_x[], const PetscScalar a[], const PetscScalar a_t[], const PetscScalar a_x[], 107 PetscReal t, PetscReal u_tShift, const PetscReal x[], PetscInt numConstants, const PetscScalar constants[], PetscScalar g3[]) 108 { 109 PetscInt d; 110 for (d = 0; d < dim; ++d) g3[d*dim+d] = 1.0; 111 } 112 113 static PetscErrorCode ProcessOptions(MPI_Comm comm, AppCtx *options) 114 { 115 PetscErrorCode ierr; 116 117 PetscFunctionBeginUser; 118 options->shear = PETSC_FALSE; 119 options->spectral = PETSC_FALSE; 120 options->adjoint = PETSC_FALSE; 121 options->homogeneous = PETSC_FALSE; 122 123 ierr = PetscOptionsBegin(comm, "", "Poisson Problem Options", "DMPLEX");CHKERRQ(ierr); 124 ierr = PetscOptionsBool("-shear", "Shear the domain", "ex13.c", options->shear, &options->shear, NULL);CHKERRQ(ierr); 125 ierr = PetscOptionsBool("-spectral", "Look at the spectrum along planes of the solution", "ex13.c", options->spectral, &options->spectral, NULL);CHKERRQ(ierr); 126 ierr = PetscOptionsBool("-adjoint", "Solve the adjoint problem", "ex13.c", options->adjoint, &options->adjoint, NULL);CHKERRQ(ierr); 127 ierr = PetscOptionsBool("-homogeneous", "Use homogeneous boundary conditions", "ex13.c", options->homogeneous, &options->homogeneous, NULL);CHKERRQ(ierr); 128 ierr = PetscOptionsEnd(); 129 PetscFunctionReturn(0); 130 } 131 132 static PetscErrorCode CreateSpectralPlanes(DM dm, PetscInt numPlanes, const PetscInt planeDir[], const PetscReal planeCoord[], AppCtx *user) 133 { 134 PetscSection coordSection; 135 Vec coordinates; 136 const PetscScalar *coords; 137 PetscInt dim, p, vStart, vEnd, v; 138 PetscErrorCode ierr; 139 140 PetscFunctionBeginUser; 141 ierr = DMGetCoordinateDim(dm, &dim);CHKERRQ(ierr); 142 ierr = DMPlexGetDepthStratum(dm, 0, &vStart, &vEnd);CHKERRQ(ierr); 143 ierr = DMGetCoordinatesLocal(dm, &coordinates);CHKERRQ(ierr); 144 ierr = DMGetCoordinateSection(dm, &coordSection);CHKERRQ(ierr); 145 ierr = VecGetArrayRead(coordinates, &coords);CHKERRQ(ierr); 146 for (p = 0; p < numPlanes; ++p) { 147 DMLabel label; 148 char name[PETSC_MAX_PATH_LEN]; 149 150 ierr = PetscSNPrintf(name, PETSC_MAX_PATH_LEN, "spectral_plane_%D", p);CHKERRQ(ierr); 151 ierr = DMCreateLabel(dm, name);CHKERRQ(ierr); 152 ierr = DMGetLabel(dm, name, &label);CHKERRQ(ierr); 153 ierr = DMLabelAddStratum(label, 1);CHKERRQ(ierr); 154 for (v = vStart; v < vEnd; ++v) { 155 PetscInt off; 156 157 ierr = PetscSectionGetOffset(coordSection, v, &off);CHKERRQ(ierr); 158 if (PetscAbsReal(planeCoord[p] - PetscRealPart(coords[off+planeDir[p]])) < PETSC_SMALL) { 159 ierr = DMLabelSetValue(label, v, 1);CHKERRQ(ierr); 160 } 161 } 162 } 163 ierr = VecRestoreArrayRead(coordinates, &coords);CHKERRQ(ierr); 164 PetscFunctionReturn(0); 165 } 166 167 static PetscErrorCode CreateMesh(MPI_Comm comm, AppCtx *user, DM *dm) 168 { 169 PetscErrorCode ierr; 170 171 PetscFunctionBeginUser; 172 /* Create box mesh */ 173 ierr = DMPlexCreateBoxMesh(comm, 2, PETSC_TRUE, NULL, NULL, NULL, NULL, PETSC_TRUE, dm);CHKERRQ(ierr); 174 /* TODO: This should be pulled into the library */ 175 { 176 char convType[256]; 177 PetscBool flg; 178 179 ierr = PetscOptionsBegin(comm, "", "Mesh conversion options", "DMPLEX");CHKERRQ(ierr); 180 ierr = PetscOptionsFList("-dm_plex_convert_type","Convert DMPlex to another format","ex12",DMList,DMPLEX,convType,256,&flg);CHKERRQ(ierr); 181 ierr = PetscOptionsEnd(); 182 if (flg) { 183 DM dmConv; 184 185 ierr = DMConvert(*dm,convType,&dmConv);CHKERRQ(ierr); 186 if (dmConv) { 187 ierr = DMDestroy(dm);CHKERRQ(ierr); 188 *dm = dmConv; 189 } 190 } 191 } 192 if (user->shear) {ierr = DMPlexShearGeometry(*dm, DM_X, NULL);CHKERRQ(ierr);} 193 ierr = DMLocalizeCoordinates(*dm);CHKERRQ(ierr); 194 195 ierr = PetscObjectSetName((PetscObject) *dm, "Mesh");CHKERRQ(ierr); 196 ierr = DMSetApplicationContext(*dm, user);CHKERRQ(ierr); 197 ierr = DMSetFromOptions(*dm);CHKERRQ(ierr); 198 ierr = DMViewFromOptions(*dm, NULL, "-dm_view");CHKERRQ(ierr); 199 if (user->spectral) { 200 PetscInt planeDir[2] = {0, 1}; 201 PetscReal planeCoord[2] = {0., 1.}; 202 203 ierr = CreateSpectralPlanes(*dm, 2, planeDir, planeCoord, user);CHKERRQ(ierr); 204 } 205 PetscFunctionReturn(0); 206 } 207 208 static PetscErrorCode SetupPrimalProblem(DM dm, AppCtx *user) 209 { 210 PetscDS ds; 211 DMLabel label; 212 const PetscInt id = 1; 213 PetscPointFunc f0 = user->homogeneous ? f0_trig_homogeneous_u : f0_trig_inhomogeneous_u; 214 PetscErrorCode (*ex)(PetscInt, PetscReal, const PetscReal [], PetscInt, PetscScalar *, void *) = user->homogeneous ? trig_homogeneous_u : trig_inhomogeneous_u; 215 PetscErrorCode ierr; 216 217 PetscFunctionBeginUser; 218 ierr = DMGetDS(dm, &ds);CHKERRQ(ierr); 219 ierr = PetscDSSetResidual(ds, 0, f0, f1_u);CHKERRQ(ierr); 220 ierr = PetscDSSetJacobian(ds, 0, 0, NULL, NULL, NULL, g3_uu);CHKERRQ(ierr); 221 ierr = PetscDSSetExactSolution(ds, 0, ex, user);CHKERRQ(ierr); 222 ierr = DMGetLabel(dm, "marker", &label);CHKERRQ(ierr); 223 ierr = DMAddBoundary(dm, DM_BC_ESSENTIAL, "wall", label, 1, &id, 0, 0, NULL, (void (*)(void)) ex, NULL, user, NULL);CHKERRQ(ierr); 224 PetscFunctionReturn(0); 225 } 226 227 static PetscErrorCode SetupAdjointProblem(DM dm, AppCtx *user) 228 { 229 PetscDS ds; 230 DMLabel label; 231 const PetscInt id = 1; 232 PetscErrorCode ierr; 233 234 PetscFunctionBeginUser; 235 ierr = DMGetDS(dm, &ds);CHKERRQ(ierr); 236 ierr = PetscDSSetResidual(ds, 0, f0_unity_u, f1_u);CHKERRQ(ierr); 237 ierr = PetscDSSetJacobian(ds, 0, 0, NULL, NULL, NULL, g3_uu);CHKERRQ(ierr); 238 ierr = PetscDSSetObjective(ds, 0, obj_error_u);CHKERRQ(ierr); 239 ierr = DMGetLabel(dm, "marker", &label);CHKERRQ(ierr); 240 ierr = DMAddBoundary(dm, DM_BC_ESSENTIAL, "wall", label, 1, &id, 0, 0, NULL, (void (*)(void)) zero, NULL, user, NULL);CHKERRQ(ierr); 241 PetscFunctionReturn(0); 242 } 243 244 static PetscErrorCode SetupErrorProblem(DM dm, AppCtx *user) 245 { 246 PetscDS prob; 247 PetscErrorCode ierr; 248 249 PetscFunctionBeginUser; 250 ierr = DMGetDS(dm, &prob);CHKERRQ(ierr); 251 PetscFunctionReturn(0); 252 } 253 254 static PetscErrorCode SetupDiscretization(DM dm, const char name[], PetscErrorCode (*setup)(DM, AppCtx *), AppCtx *user) 255 { 256 DM cdm = dm; 257 PetscFE fe; 258 DMPolytopeType ct; 259 PetscBool simplex; 260 PetscInt dim, cStart; 261 char prefix[PETSC_MAX_PATH_LEN]; 262 PetscErrorCode ierr; 263 264 PetscFunctionBeginUser; 265 ierr = DMGetDimension(dm, &dim);CHKERRQ(ierr); 266 ierr = DMPlexGetHeightStratum(dm, 0, &cStart, NULL);CHKERRQ(ierr); 267 ierr = DMPlexGetCellType(dm, cStart, &ct);CHKERRQ(ierr); 268 simplex = DMPolytopeTypeGetNumVertices(ct) == DMPolytopeTypeGetDim(ct)+1 ? PETSC_TRUE : PETSC_FALSE; 269 /* Create finite element */ 270 ierr = PetscSNPrintf(prefix, PETSC_MAX_PATH_LEN, "%s_", name);CHKERRQ(ierr); 271 ierr = PetscFECreateDefault(PETSC_COMM_SELF, dim, 1, simplex, name ? prefix : NULL, -1, &fe);CHKERRQ(ierr); 272 ierr = PetscObjectSetName((PetscObject) fe, name);CHKERRQ(ierr); 273 /* Set discretization and boundary conditions for each mesh */ 274 ierr = DMSetField(dm, 0, NULL, (PetscObject) fe);CHKERRQ(ierr); 275 ierr = DMCreateDS(dm);CHKERRQ(ierr); 276 ierr = (*setup)(dm, user);CHKERRQ(ierr); 277 while (cdm) { 278 ierr = DMCopyDisc(dm,cdm);CHKERRQ(ierr); 279 /* TODO: Check whether the boundary of coarse meshes is marked */ 280 ierr = DMGetCoarseDM(cdm, &cdm);CHKERRQ(ierr); 281 } 282 ierr = PetscFEDestroy(&fe);CHKERRQ(ierr); 283 PetscFunctionReturn(0); 284 } 285 286 static PetscErrorCode ComputeSpectral(DM dm, Vec u, PetscInt numPlanes, const PetscInt planeDir[], const PetscReal planeCoord[], AppCtx *user) 287 { 288 MPI_Comm comm; 289 PetscSection coordSection, section; 290 Vec coordinates, uloc; 291 const PetscScalar *coords, *array; 292 PetscInt p; 293 PetscMPIInt size, rank; 294 PetscErrorCode ierr; 295 296 PetscFunctionBeginUser; 297 ierr = PetscObjectGetComm((PetscObject) dm, &comm);CHKERRQ(ierr); 298 ierr = MPI_Comm_size(comm, &size);CHKERRMPI(ierr); 299 ierr = MPI_Comm_rank(comm, &rank);CHKERRMPI(ierr); 300 ierr = DMGetLocalVector(dm, &uloc);CHKERRQ(ierr); 301 ierr = DMGlobalToLocalBegin(dm, u, INSERT_VALUES, uloc);CHKERRQ(ierr); 302 ierr = DMGlobalToLocalEnd(dm, u, INSERT_VALUES, uloc);CHKERRQ(ierr); 303 ierr = DMPlexInsertBoundaryValues(dm, PETSC_TRUE, uloc, 0.0, NULL, NULL, NULL);CHKERRQ(ierr); 304 ierr = VecViewFromOptions(uloc, NULL, "-sol_view");CHKERRQ(ierr); 305 ierr = DMGetLocalSection(dm, §ion);CHKERRQ(ierr); 306 ierr = VecGetArrayRead(uloc, &array);CHKERRQ(ierr); 307 ierr = DMGetCoordinatesLocal(dm, &coordinates);CHKERRQ(ierr); 308 ierr = DMGetCoordinateSection(dm, &coordSection);CHKERRQ(ierr); 309 ierr = VecGetArrayRead(coordinates, &coords);CHKERRQ(ierr); 310 for (p = 0; p < numPlanes; ++p) { 311 DMLabel label; 312 char name[PETSC_MAX_PATH_LEN]; 313 Mat F; 314 Vec x, y; 315 IS stratum; 316 PetscReal *ray, *gray; 317 PetscScalar *rvals, *svals, *gsvals; 318 PetscInt *perm, *nperm; 319 PetscInt n, N, i, j, off, offu; 320 const PetscInt *points; 321 322 ierr = PetscSNPrintf(name, PETSC_MAX_PATH_LEN, "spectral_plane_%D", p);CHKERRQ(ierr); 323 ierr = DMGetLabel(dm, name, &label);CHKERRQ(ierr); 324 ierr = DMLabelGetStratumIS(label, 1, &stratum);CHKERRQ(ierr); 325 ierr = ISGetLocalSize(stratum, &n);CHKERRQ(ierr); 326 ierr = ISGetIndices(stratum, &points);CHKERRQ(ierr); 327 ierr = PetscMalloc2(n, &ray, n, &svals);CHKERRQ(ierr); 328 for (i = 0; i < n; ++i) { 329 ierr = PetscSectionGetOffset(coordSection, points[i], &off);CHKERRQ(ierr); 330 ierr = PetscSectionGetOffset(section, points[i], &offu);CHKERRQ(ierr); 331 ray[i] = PetscRealPart(coords[off+((planeDir[p]+1)%2)]); 332 svals[i] = array[offu]; 333 } 334 /* Gather the ray data to proc 0 */ 335 if (size > 1) { 336 PetscMPIInt *cnt, *displs, p; 337 338 ierr = PetscCalloc2(size, &cnt, size, &displs);CHKERRQ(ierr); 339 ierr = MPI_Gather(&n, 1, MPIU_INT, cnt, 1, MPIU_INT, 0, comm);CHKERRMPI(ierr); 340 for (p = 1; p < size; ++p) displs[p] = displs[p-1] + cnt[p-1]; 341 N = displs[size-1] + cnt[size-1]; 342 ierr = PetscMalloc2(N, &gray, N, &gsvals);CHKERRQ(ierr); 343 ierr = MPI_Gatherv(ray, n, MPIU_REAL, gray, cnt, displs, MPIU_REAL, 0, comm);CHKERRMPI(ierr); 344 ierr = MPI_Gatherv(svals, n, MPIU_SCALAR, gsvals, cnt, displs, MPIU_SCALAR, 0, comm);CHKERRMPI(ierr); 345 ierr = PetscFree2(cnt, displs);CHKERRQ(ierr); 346 } else { 347 N = n; 348 gray = ray; 349 gsvals = svals; 350 } 351 if (!rank) { 352 /* Sort point along ray */ 353 ierr = PetscMalloc2(N, &perm, N, &nperm);CHKERRQ(ierr); 354 for (i = 0; i < N; ++i) {perm[i] = i;} 355 ierr = PetscSortRealWithPermutation(N, gray, perm);CHKERRQ(ierr); 356 /* Count duplicates and squish mapping */ 357 nperm[0] = perm[0]; 358 for (i = 1, j = 1; i < N; ++i) { 359 if (PetscAbsReal(gray[perm[i]] - gray[perm[i-1]]) > PETSC_SMALL) nperm[j++] = perm[i]; 360 } 361 /* Create FFT structs */ 362 ierr = MatCreateFFT(PETSC_COMM_SELF, 1, &j, MATFFTW, &F);CHKERRQ(ierr); 363 ierr = MatCreateVecs(F, &x, &y);CHKERRQ(ierr); 364 ierr = PetscObjectSetName((PetscObject) y, name);CHKERRQ(ierr); 365 ierr = VecGetArray(x, &rvals);CHKERRQ(ierr); 366 for (i = 0, j = 0; i < N; ++i) { 367 if (i > 0 && PetscAbsReal(gray[perm[i]] - gray[perm[i-1]]) < PETSC_SMALL) continue; 368 rvals[j] = gsvals[nperm[j]]; 369 ++j; 370 } 371 ierr = PetscFree2(perm, nperm);CHKERRQ(ierr); 372 if (size > 1) {ierr = PetscFree2(gray, gsvals);CHKERRQ(ierr);} 373 ierr = VecRestoreArray(x, &rvals);CHKERRQ(ierr); 374 /* Do FFT along the ray */ 375 ierr = MatMult(F, x, y);CHKERRQ(ierr); 376 /* Chop FFT */ 377 ierr = VecChop(y, PETSC_SMALL);CHKERRQ(ierr); 378 ierr = VecViewFromOptions(x, NULL, "-real_view");CHKERRQ(ierr); 379 ierr = VecViewFromOptions(y, NULL, "-fft_view");CHKERRQ(ierr); 380 ierr = VecDestroy(&x);CHKERRQ(ierr); 381 ierr = VecDestroy(&y);CHKERRQ(ierr); 382 ierr = MatDestroy(&F);CHKERRQ(ierr); 383 } 384 ierr = ISRestoreIndices(stratum, &points);CHKERRQ(ierr); 385 ierr = ISDestroy(&stratum);CHKERRQ(ierr); 386 ierr = PetscFree2(ray, svals);CHKERRQ(ierr); 387 } 388 ierr = VecRestoreArrayRead(coordinates, &coords);CHKERRQ(ierr); 389 ierr = VecRestoreArrayRead(uloc, &array);CHKERRQ(ierr); 390 ierr = DMRestoreLocalVector(dm, &uloc);CHKERRQ(ierr); 391 PetscFunctionReturn(0); 392 } 393 394 int main(int argc, char **argv) 395 { 396 DM dm; /* Problem specification */ 397 SNES snes; /* Nonlinear solver */ 398 Vec u; /* Solutions */ 399 AppCtx user; /* User-defined work context */ 400 PetscErrorCode ierr; 401 402 ierr = PetscInitialize(&argc, &argv, NULL, help);if (ierr) return ierr; 403 ierr = ProcessOptions(PETSC_COMM_WORLD, &user);CHKERRQ(ierr); 404 /* Primal system */ 405 ierr = SNESCreate(PETSC_COMM_WORLD, &snes);CHKERRQ(ierr); 406 ierr = CreateMesh(PETSC_COMM_WORLD, &user, &dm);CHKERRQ(ierr); 407 ierr = SNESSetDM(snes, dm);CHKERRQ(ierr); 408 ierr = SetupDiscretization(dm, "potential", SetupPrimalProblem, &user);CHKERRQ(ierr); 409 ierr = DMCreateGlobalVector(dm, &u);CHKERRQ(ierr); 410 ierr = VecSet(u, 0.0);CHKERRQ(ierr); 411 ierr = PetscObjectSetName((PetscObject) u, "potential");CHKERRQ(ierr); 412 ierr = DMPlexSetSNESLocalFEM(dm, &user, &user, &user);CHKERRQ(ierr); 413 ierr = SNESSetFromOptions(snes);CHKERRQ(ierr); 414 ierr = SNESSolve(snes, NULL, u);CHKERRQ(ierr); 415 ierr = SNESGetSolution(snes, &u);CHKERRQ(ierr); 416 ierr = VecViewFromOptions(u, NULL, "-potential_view");CHKERRQ(ierr); 417 if (user.spectral) { 418 PetscInt planeDir[2] = {0, 1}; 419 PetscReal planeCoord[2] = {0., 1.}; 420 421 ierr = ComputeSpectral(dm, u, 2, planeDir, planeCoord, &user);CHKERRQ(ierr); 422 } 423 /* Adjoint system */ 424 if (user.adjoint) { 425 DM dmAdj; 426 SNES snesAdj; 427 Vec uAdj; 428 429 ierr = SNESCreate(PETSC_COMM_WORLD, &snesAdj);CHKERRQ(ierr); 430 ierr = PetscObjectSetOptionsPrefix((PetscObject) snesAdj, "adjoint_");CHKERRQ(ierr); 431 ierr = DMClone(dm, &dmAdj);CHKERRQ(ierr); 432 ierr = SNESSetDM(snesAdj, dmAdj);CHKERRQ(ierr); 433 ierr = SetupDiscretization(dmAdj, "adjoint", SetupAdjointProblem, &user);CHKERRQ(ierr); 434 ierr = DMCreateGlobalVector(dmAdj, &uAdj);CHKERRQ(ierr); 435 ierr = VecSet(uAdj, 0.0);CHKERRQ(ierr); 436 ierr = PetscObjectSetName((PetscObject) uAdj, "adjoint");CHKERRQ(ierr); 437 ierr = DMPlexSetSNESLocalFEM(dmAdj, &user, &user, &user);CHKERRQ(ierr); 438 ierr = SNESSetFromOptions(snesAdj);CHKERRQ(ierr); 439 ierr = SNESSolve(snesAdj, NULL, uAdj);CHKERRQ(ierr); 440 ierr = SNESGetSolution(snesAdj, &uAdj);CHKERRQ(ierr); 441 ierr = VecViewFromOptions(uAdj, NULL, "-adjoint_view");CHKERRQ(ierr); 442 /* Error representation */ 443 { 444 DM dmErr, dmErrAux, dms[2]; 445 Vec errorEst, errorL2, uErr, uErrLoc, uAdjLoc, uAdjProj; 446 IS *subis; 447 PetscReal errorEstTot, errorL2Norm, errorL2Tot; 448 PetscInt N, i; 449 PetscErrorCode (*funcs[1])(PetscInt, PetscReal, const PetscReal [], PetscInt, PetscScalar *, void *) = {user.homogeneous ? trig_homogeneous_u : trig_inhomogeneous_u}; 450 void (*identity[1])(PetscInt, PetscInt, PetscInt, 451 const PetscInt[], const PetscInt[], const PetscScalar[], const PetscScalar[], const PetscScalar[], 452 const PetscInt[], const PetscInt[], const PetscScalar[], const PetscScalar[], const PetscScalar[], 453 PetscReal, const PetscReal[], PetscInt, const PetscScalar[], PetscScalar[]) = {f0_identityaux_u}; 454 void *ctxs[1] = {0}; 455 456 ctxs[0] = &user; 457 ierr = DMClone(dm, &dmErr);CHKERRQ(ierr); 458 ierr = SetupDiscretization(dmErr, "error", SetupErrorProblem, &user);CHKERRQ(ierr); 459 ierr = DMGetGlobalVector(dmErr, &errorEst);CHKERRQ(ierr); 460 ierr = DMGetGlobalVector(dmErr, &errorL2);CHKERRQ(ierr); 461 /* Compute auxiliary data (solution and projection of adjoint solution) */ 462 ierr = DMGetLocalVector(dmAdj, &uAdjLoc);CHKERRQ(ierr); 463 ierr = DMGlobalToLocalBegin(dmAdj, uAdj, INSERT_VALUES, uAdjLoc);CHKERRQ(ierr); 464 ierr = DMGlobalToLocalEnd(dmAdj, uAdj, INSERT_VALUES, uAdjLoc);CHKERRQ(ierr); 465 ierr = DMGetGlobalVector(dm, &uAdjProj);CHKERRQ(ierr); 466 ierr = DMSetAuxiliaryVec(dm, NULL, 0, uAdjLoc);CHKERRQ(ierr); 467 ierr = DMProjectField(dm, 0.0, u, identity, INSERT_VALUES, uAdjProj);CHKERRQ(ierr); 468 ierr = DMSetAuxiliaryVec(dm, NULL, 0, NULL);CHKERRQ(ierr); 469 ierr = DMRestoreLocalVector(dmAdj, &uAdjLoc);CHKERRQ(ierr); 470 /* Attach auxiliary data */ 471 dms[0] = dm; dms[1] = dm; 472 ierr = DMCreateSuperDM(dms, 2, &subis, &dmErrAux);CHKERRQ(ierr); 473 if (0) { 474 PetscSection sec; 475 476 ierr = DMGetLocalSection(dms[0], &sec);CHKERRQ(ierr); 477 ierr = PetscSectionView(sec, PETSC_VIEWER_STDOUT_WORLD);CHKERRQ(ierr); 478 ierr = DMGetLocalSection(dms[1], &sec);CHKERRQ(ierr); 479 ierr = PetscSectionView(sec, PETSC_VIEWER_STDOUT_WORLD);CHKERRQ(ierr); 480 ierr = DMGetLocalSection(dmErrAux, &sec);CHKERRQ(ierr); 481 ierr = PetscSectionView(sec, PETSC_VIEWER_STDOUT_WORLD);CHKERRQ(ierr); 482 } 483 ierr = DMViewFromOptions(dmErrAux, NULL, "-dm_err_view");CHKERRQ(ierr); 484 ierr = ISViewFromOptions(subis[0], NULL, "-super_is_view");CHKERRQ(ierr); 485 ierr = ISViewFromOptions(subis[1], NULL, "-super_is_view");CHKERRQ(ierr); 486 ierr = DMGetGlobalVector(dmErrAux, &uErr);CHKERRQ(ierr); 487 ierr = VecViewFromOptions(u, NULL, "-map_vec_view");CHKERRQ(ierr); 488 ierr = VecViewFromOptions(uAdjProj, NULL, "-map_vec_view");CHKERRQ(ierr); 489 ierr = VecViewFromOptions(uErr, NULL, "-map_vec_view");CHKERRQ(ierr); 490 ierr = VecISCopy(uErr, subis[0], SCATTER_FORWARD, u);CHKERRQ(ierr); 491 ierr = VecISCopy(uErr, subis[1], SCATTER_FORWARD, uAdjProj);CHKERRQ(ierr); 492 ierr = DMRestoreGlobalVector(dm, &uAdjProj);CHKERRQ(ierr); 493 for (i = 0; i < 2; ++i) {ierr = ISDestroy(&subis[i]);CHKERRQ(ierr);} 494 ierr = PetscFree(subis);CHKERRQ(ierr); 495 ierr = DMGetLocalVector(dmErrAux, &uErrLoc);CHKERRQ(ierr); 496 ierr = DMGlobalToLocalBegin(dm, uErr, INSERT_VALUES, uErrLoc);CHKERRQ(ierr); 497 ierr = DMGlobalToLocalEnd(dm, uErr, INSERT_VALUES, uErrLoc);CHKERRQ(ierr); 498 ierr = DMRestoreGlobalVector(dmErrAux, &uErr);CHKERRQ(ierr); 499 ierr = DMSetAuxiliaryVec(dmAdj, NULL, 0, uErrLoc);CHKERRQ(ierr); 500 /* Compute cellwise error estimate */ 501 ierr = VecSet(errorEst, 0.0);CHKERRQ(ierr); 502 ierr = DMPlexComputeCellwiseIntegralFEM(dmAdj, uAdj, errorEst, &user);CHKERRQ(ierr); 503 ierr = DMSetAuxiliaryVec(dmAdj, NULL, 0, NULL);CHKERRQ(ierr); 504 ierr = DMRestoreLocalVector(dmErrAux, &uErrLoc);CHKERRQ(ierr); 505 ierr = DMDestroy(&dmErrAux);CHKERRQ(ierr); 506 /* Plot cellwise error vector */ 507 ierr = VecViewFromOptions(errorEst, NULL, "-error_view");CHKERRQ(ierr); 508 /* Compute ratio of estimate (sum over cells) with actual L_2 error */ 509 ierr = DMComputeL2Diff(dm, 0.0, funcs, ctxs, u, &errorL2Norm);CHKERRQ(ierr); 510 ierr = DMPlexComputeL2DiffVec(dm, 0.0, funcs, ctxs, u, errorL2);CHKERRQ(ierr); 511 ierr = VecViewFromOptions(errorL2, NULL, "-l2_error_view");CHKERRQ(ierr); 512 ierr = VecNorm(errorL2, NORM_INFINITY, &errorL2Tot);CHKERRQ(ierr); 513 ierr = VecNorm(errorEst, NORM_INFINITY, &errorEstTot);CHKERRQ(ierr); 514 ierr = VecGetSize(errorEst, &N);CHKERRQ(ierr); 515 ierr = VecPointwiseDivide(errorEst, errorEst, errorL2);CHKERRQ(ierr); 516 ierr = PetscObjectSetName((PetscObject) errorEst, "Error ratio");CHKERRQ(ierr); 517 ierr = VecViewFromOptions(errorEst, NULL, "-error_ratio_view");CHKERRQ(ierr); 518 ierr = 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(ierr); 519 ierr = DMRestoreGlobalVector(dmErr, &errorEst);CHKERRQ(ierr); 520 ierr = DMRestoreGlobalVector(dmErr, &errorL2);CHKERRQ(ierr); 521 ierr = DMDestroy(&dmErr);CHKERRQ(ierr); 522 } 523 ierr = DMDestroy(&dmAdj);CHKERRQ(ierr); 524 ierr = VecDestroy(&uAdj);CHKERRQ(ierr); 525 ierr = SNESDestroy(&snesAdj);CHKERRQ(ierr); 526 } 527 /* Cleanup */ 528 ierr = VecDestroy(&u);CHKERRQ(ierr); 529 ierr = SNESDestroy(&snes);CHKERRQ(ierr); 530 ierr = DMDestroy(&dm);CHKERRQ(ierr); 531 ierr = PetscFinalize(); 532 return ierr; 533 } 534 535 /*TEST 536 537 test: 538 # Using -dm_refine 2 -convest_num_refine 3 we get L_2 convergence rate: 1.9 539 suffix: 2d_p1_conv 540 requires: triangle 541 args: -potential_petscspace_degree 1 -snes_convergence_estimate -convest_num_refine 2 542 test: 543 # Using -dm_refine 2 -convest_num_refine 3 we get L_2 convergence rate: 2.9 544 suffix: 2d_p2_conv 545 requires: triangle 546 args: -potential_petscspace_degree 2 -snes_convergence_estimate -convest_num_refine 2 547 test: 548 # Using -dm_refine 2 -convest_num_refine 3 we get L_2 convergence rate: 3.9 549 suffix: 2d_p3_conv 550 requires: triangle 551 args: -potential_petscspace_degree 3 -snes_convergence_estimate -convest_num_refine 2 552 test: 553 # Using -dm_refine 2 -convest_num_refine 3 we get L_2 convergence rate: 1.9 554 suffix: 2d_q1_conv 555 args: -dm_plex_box_simplex 0 -potential_petscspace_degree 1 -snes_convergence_estimate -convest_num_refine 2 556 test: 557 # Using -dm_refine 2 -convest_num_refine 3 we get L_2 convergence rate: 2.9 558 suffix: 2d_q2_conv 559 args: -dm_plex_box_simplex 0 -potential_petscspace_degree 2 -snes_convergence_estimate -convest_num_refine 2 560 test: 561 # Using -dm_refine 2 -convest_num_refine 3 we get L_2 convergence rate: 3.9 562 suffix: 2d_q3_conv 563 args: -dm_plex_box_simplex 0 -potential_petscspace_degree 3 -snes_convergence_estimate -convest_num_refine 2 564 test: 565 # Using -dm_refine 2 -convest_num_refine 3 we get L_2 convergence rate: 1.9 566 suffix: 2d_q1_shear_conv 567 args: -dm_plex_box_simplex 0 -shear -potential_petscspace_degree 1 -snes_convergence_estimate -convest_num_refine 2 568 test: 569 # Using -dm_refine 2 -convest_num_refine 3 we get L_2 convergence rate: 2.9 570 suffix: 2d_q2_shear_conv 571 args: -dm_plex_box_simplex 0 -shear -potential_petscspace_degree 2 -snes_convergence_estimate -convest_num_refine 2 572 test: 573 # Using -dm_refine 2 -convest_num_refine 3 we get L_2 convergence rate: 3.9 574 suffix: 2d_q3_shear_conv 575 args: -dm_plex_box_simplex 0 -shear -potential_petscspace_degree 3 -snes_convergence_estimate -convest_num_refine 2 576 test: 577 # Using -convest_num_refine 3 we get L_2 convergence rate: 1.7 578 suffix: 3d_p1_conv 579 requires: ctetgen 580 args: -dm_plex_box_dim 3 -dm_refine 1 -potential_petscspace_degree 1 -snes_convergence_estimate -convest_num_refine 1 581 test: 582 # Using -dm_refine 1 -convest_num_refine 3 we get L_2 convergence rate: 2.8 583 suffix: 3d_p2_conv 584 requires: ctetgen 585 args: -dm_plex_box_dim 3 -dm_plex_box_faces 2,2,2 -potential_petscspace_degree 2 -snes_convergence_estimate -convest_num_refine 1 586 test: 587 # Using -dm_refine 1 -convest_num_refine 3 we get L_2 convergence rate: 4.0 588 suffix: 3d_p3_conv 589 requires: ctetgen 590 args: -dm_plex_box_dim 3 -dm_plex_box_faces 2,2,2 -potential_petscspace_degree 3 -snes_convergence_estimate -convest_num_refine 1 591 test: 592 # Using -dm_refine 2 -convest_num_refine 3 we get L_2 convergence rate: 1.8 593 suffix: 3d_q1_conv 594 args: -dm_plex_box_dim 3 -dm_plex_box_simplex 0 -dm_refine 1 -potential_petscspace_degree 1 -snes_convergence_estimate -convest_num_refine 1 595 test: 596 # Using -dm_refine 2 -convest_num_refine 3 we get L_2 convergence rate: 2.8 597 suffix: 3d_q2_conv 598 args: -dm_plex_box_dim 3 -dm_plex_box_simplex 0 -potential_petscspace_degree 2 -snes_convergence_estimate -convest_num_refine 1 599 test: 600 # Using -dm_refine 1 -convest_num_refine 3 we get L_2 convergence rate: 3.8 601 suffix: 3d_q3_conv 602 args: -dm_plex_box_dim 3 -dm_plex_box_simplex 0 -potential_petscspace_degree 3 -snes_convergence_estimate -convest_num_refine 1 603 test: 604 suffix: 2d_p1_fas_full 605 requires: triangle 606 args: -potential_petscspace_degree 1 -dm_refine_hierarchy 5 -dm_distribute \ 607 -snes_max_it 1 -snes_type fas -snes_fas_levels 5 -snes_fas_type full -snes_fas_full_total \ 608 -fas_coarse_snes_monitor -fas_coarse_snes_max_it 1 -fas_coarse_ksp_atol 1.e-13 \ 609 -fas_levels_snes_monitor -fas_levels_snes_max_it 1 -fas_levels_snes_type newtonls \ 610 -fas_levels_pc_type none -fas_levels_ksp_max_it 2 -fas_levels_ksp_converged_maxits -fas_levels_ksp_type chebyshev \ 611 -fas_levels_esteig_ksp_type cg -fas_levels_ksp_chebyshev_esteig 0,0.25,0,1.05 -fas_levels_esteig_ksp_max_it 10 612 test: 613 suffix: 2d_p1_fas_full_homogeneous 614 requires: triangle 615 args: -homogeneous -potential_petscspace_degree 1 -dm_refine_hierarchy 5 -dm_distribute \ 616 -snes_max_it 1 -snes_type fas -snes_fas_levels 5 -snes_fas_type full \ 617 -fas_coarse_snes_monitor -fas_coarse_snes_max_it 1 -fas_coarse_ksp_atol 1.e-13 \ 618 -fas_levels_snes_monitor -fas_levels_snes_max_it 1 -fas_levels_snes_type newtonls \ 619 -fas_levels_pc_type none -fas_levels_ksp_max_it 2 -fas_levels_ksp_converged_maxits -fas_levels_ksp_type chebyshev \ 620 -fas_levels_esteig_ksp_type cg -fas_levels_ksp_chebyshev_esteig 0,0.25,0,1.05 -fas_levels_esteig_ksp_max_it 10 621 622 test: 623 suffix: 2d_p1_scalable 624 requires: triangle 625 args: -potential_petscspace_degree 1 -dm_refine 3 \ 626 -ksp_type cg -ksp_rtol 1.e-11 -ksp_norm_type unpreconditioned \ 627 -pc_type gamg \ 628 -pc_gamg_type agg -pc_gamg_agg_nsmooths 1 \ 629 -pc_gamg_coarse_eq_limit 1000 \ 630 -pc_gamg_square_graph 1 \ 631 -pc_gamg_threshold 0.05 \ 632 -pc_gamg_threshold_scale .0 \ 633 -mg_levels_ksp_type chebyshev \ 634 -mg_levels_ksp_max_it 1 \ 635 -mg_levels_esteig_ksp_type cg \ 636 -mg_levels_esteig_ksp_max_it 10 \ 637 -mg_levels_ksp_chebyshev_esteig 0,0.05,0,1.05 \ 638 -mg_levels_pc_type jacobi \ 639 -matptap_via scalable 640 test: 641 suffix: 2d_p1_gmg_vcycle 642 requires: triangle 643 args: -potential_petscspace_degree 1 -dm_plex_box_faces 2,2 -dm_refine_hierarchy 3 \ 644 -ksp_rtol 5e-10 -pc_type mg \ 645 -mg_levels_ksp_max_it 1 \ 646 -mg_levels_esteig_ksp_type cg \ 647 -mg_levels_esteig_ksp_max_it 10 \ 648 -mg_levels_ksp_chebyshev_esteig 0,0.05,0,1.05 \ 649 -mg_levels_pc_type jacobi 650 test: 651 suffix: 2d_p1_gmg_fcycle 652 requires: triangle 653 args: -potential_petscspace_degree 1 -dm_plex_box_faces 2,2 -dm_refine_hierarchy 3 \ 654 -ksp_rtol 5e-10 -pc_type mg -pc_mg_type full \ 655 -mg_levels_ksp_max_it 2 \ 656 -mg_levels_esteig_ksp_type cg \ 657 -mg_levels_esteig_ksp_max_it 10 \ 658 -mg_levels_ksp_chebyshev_esteig 0,0.05,0,1.05 \ 659 -mg_levels_pc_type jacobi 660 test: 661 suffix: 2d_p1_gmg_vcycle_adapt 662 requires: triangle bamg 663 args: -potential_petscspace_degree 1 -dm_plex_box_faces 2,2 -dm_refine_hierarchy 3 \ 664 -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 \ 665 -mg_levels_ksp_max_it 1 \ 666 -mg_levels_esteig_ksp_type cg \ 667 -mg_levels_esteig_ksp_max_it 10 \ 668 -mg_levels_ksp_chebyshev_esteig 0,0.05,0,1.05 \ 669 -mg_levels_pc_type jacobi 670 test: 671 suffix: 2d_p1_spectral_0 672 requires: triangle fftw !complex 673 args: -dm_plex_box_faces 1,1 -potential_petscspace_degree 1 -dm_refine 6 -spectral -fft_view 674 test: 675 suffix: 2d_p1_spectral_1 676 requires: triangle fftw !complex 677 nsize: 2 678 args: -dm_plex_box_faces 4,4 -dm_distribute -potential_petscspace_degree 1 -spectral -fft_view 679 test: 680 suffix: 2d_p1_adj_0 681 requires: triangle 682 args: -potential_petscspace_degree 1 -dm_refine 1 -adjoint -adjoint_petscspace_degree 1 -error_petscspace_degree 0 683 test: 684 nsize: 2 685 requires: kokkos_kernels 686 suffix: kokkos 687 args: -dm_plex_box_dim 3 -dm_plex_box_faces 2,3,6 -dm_distribute -petscpartitioner_type simple -dm_plex_box_simplex 0 -potential_petscspace_degree 1 \ 688 -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 \ 689 -pc_gamg_threshold_scale .5 -mg_levels_ksp_type chebyshev -mg_levels_ksp_max_it 2 -mg_levels_esteig_ksp_type cg -mg_levels_esteig_ksp_max_it 10 \ 690 -mg_levels_ksp_chebyshev_esteig 0,0.05,0,1.05 -mg_levels_pc_type jacobi -ksp_monitor -snes_monitor -dm_view -dm_mat_type aijkokkos -dm_vec_type kokkos 691 692 TEST*/ 693