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 prob; 211 const PetscInt id = 1; 212 PetscPointFunc f0 = user->homogeneous ? f0_trig_homogeneous_u : f0_trig_inhomogeneous_u; 213 PetscErrorCode (*ex)(PetscInt, PetscReal, const PetscReal [], PetscInt, PetscScalar *, void *) = user->homogeneous ? trig_homogeneous_u : trig_inhomogeneous_u; 214 PetscErrorCode ierr; 215 216 PetscFunctionBeginUser; 217 ierr = DMGetDS(dm, &prob);CHKERRQ(ierr); 218 ierr = PetscDSSetResidual(prob, 0, f0, f1_u);CHKERRQ(ierr); 219 ierr = PetscDSSetExactSolution(prob, 0, ex, user);CHKERRQ(ierr); 220 ierr = DMAddBoundary(dm, DM_BC_ESSENTIAL, "wall", "marker", 0, 0, NULL, (void (*)(void)) ex, NULL, 1, &id, user);CHKERRQ(ierr); 221 ierr = PetscDSSetJacobian(prob, 0, 0, NULL, NULL, NULL, g3_uu);CHKERRQ(ierr); 222 PetscFunctionReturn(0); 223 } 224 225 static PetscErrorCode SetupAdjointProblem(DM dm, AppCtx *user) 226 { 227 PetscDS prob; 228 const PetscInt id = 1; 229 PetscErrorCode ierr; 230 231 PetscFunctionBeginUser; 232 ierr = DMGetDS(dm, &prob);CHKERRQ(ierr); 233 ierr = PetscDSSetResidual(prob, 0, f0_unity_u, f1_u);CHKERRQ(ierr); 234 ierr = PetscDSSetJacobian(prob, 0, 0, NULL, NULL, NULL, g3_uu);CHKERRQ(ierr); 235 ierr = PetscDSSetObjective(prob, 0, obj_error_u);CHKERRQ(ierr); 236 ierr = DMAddBoundary(dm, DM_BC_ESSENTIAL, "wall", "marker", 0, 0, NULL, (void (*)(void)) zero, NULL, 1, &id, user);CHKERRQ(ierr); 237 PetscFunctionReturn(0); 238 } 239 240 static PetscErrorCode SetupErrorProblem(DM dm, AppCtx *user) 241 { 242 PetscDS prob; 243 PetscErrorCode ierr; 244 245 PetscFunctionBeginUser; 246 ierr = DMGetDS(dm, &prob);CHKERRQ(ierr); 247 PetscFunctionReturn(0); 248 } 249 250 static PetscErrorCode SetupDiscretization(DM dm, const char name[], PetscErrorCode (*setup)(DM, AppCtx *), AppCtx *user) 251 { 252 DM cdm = dm; 253 PetscFE fe; 254 DMPolytopeType ct; 255 PetscBool simplex; 256 PetscInt dim, cStart; 257 char prefix[PETSC_MAX_PATH_LEN]; 258 PetscErrorCode ierr; 259 260 PetscFunctionBeginUser; 261 ierr = DMGetDimension(dm, &dim);CHKERRQ(ierr); 262 ierr = DMPlexGetHeightStratum(dm, 0, &cStart, NULL);CHKERRQ(ierr); 263 ierr = DMPlexGetCellType(dm, cStart, &ct);CHKERRQ(ierr); 264 simplex = DMPolytopeTypeGetNumVertices(ct) == DMPolytopeTypeGetDim(ct)+1 ? PETSC_TRUE : PETSC_FALSE; 265 /* Create finite element */ 266 ierr = PetscSNPrintf(prefix, PETSC_MAX_PATH_LEN, "%s_", name);CHKERRQ(ierr); 267 ierr = PetscFECreateDefault(PETSC_COMM_SELF, dim, 1, simplex, name ? prefix : NULL, -1, &fe);CHKERRQ(ierr); 268 ierr = PetscObjectSetName((PetscObject) fe, name);CHKERRQ(ierr); 269 /* Set discretization and boundary conditions for each mesh */ 270 ierr = DMSetField(dm, 0, NULL, (PetscObject) fe);CHKERRQ(ierr); 271 ierr = DMCreateDS(dm);CHKERRQ(ierr); 272 ierr = (*setup)(dm, user);CHKERRQ(ierr); 273 while (cdm) { 274 ierr = DMCopyDisc(dm,cdm);CHKERRQ(ierr); 275 /* TODO: Check whether the boundary of coarse meshes is marked */ 276 ierr = DMGetCoarseDM(cdm, &cdm);CHKERRQ(ierr); 277 } 278 ierr = PetscFEDestroy(&fe);CHKERRQ(ierr); 279 PetscFunctionReturn(0); 280 } 281 282 static PetscErrorCode ComputeSpectral(DM dm, Vec u, PetscInt numPlanes, const PetscInt planeDir[], const PetscReal planeCoord[], AppCtx *user) 283 { 284 MPI_Comm comm; 285 PetscSection coordSection, section; 286 Vec coordinates, uloc; 287 const PetscScalar *coords, *array; 288 PetscInt p; 289 PetscMPIInt size, rank; 290 PetscErrorCode ierr; 291 292 PetscFunctionBeginUser; 293 ierr = PetscObjectGetComm((PetscObject) dm, &comm);CHKERRQ(ierr); 294 ierr = MPI_Comm_size(comm, &size);CHKERRMPI(ierr); 295 ierr = MPI_Comm_rank(comm, &rank);CHKERRMPI(ierr); 296 ierr = DMGetLocalVector(dm, &uloc);CHKERRQ(ierr); 297 ierr = DMGlobalToLocalBegin(dm, u, INSERT_VALUES, uloc);CHKERRQ(ierr); 298 ierr = DMGlobalToLocalEnd(dm, u, INSERT_VALUES, uloc);CHKERRQ(ierr); 299 ierr = DMPlexInsertBoundaryValues(dm, PETSC_TRUE, uloc, 0.0, NULL, NULL, NULL);CHKERRQ(ierr); 300 ierr = VecViewFromOptions(uloc, NULL, "-sol_view");CHKERRQ(ierr); 301 ierr = DMGetLocalSection(dm, §ion);CHKERRQ(ierr); 302 ierr = VecGetArrayRead(uloc, &array);CHKERRQ(ierr); 303 ierr = DMGetCoordinatesLocal(dm, &coordinates);CHKERRQ(ierr); 304 ierr = DMGetCoordinateSection(dm, &coordSection);CHKERRQ(ierr); 305 ierr = VecGetArrayRead(coordinates, &coords);CHKERRQ(ierr); 306 for (p = 0; p < numPlanes; ++p) { 307 DMLabel label; 308 char name[PETSC_MAX_PATH_LEN]; 309 Mat F; 310 Vec x, y; 311 IS stratum; 312 PetscReal *ray, *gray; 313 PetscScalar *rvals, *svals, *gsvals; 314 PetscInt *perm, *nperm; 315 PetscInt n, N, i, j, off, offu; 316 const PetscInt *points; 317 318 ierr = PetscSNPrintf(name, PETSC_MAX_PATH_LEN, "spectral_plane_%D", p);CHKERRQ(ierr); 319 ierr = DMGetLabel(dm, name, &label);CHKERRQ(ierr); 320 ierr = DMLabelGetStratumIS(label, 1, &stratum);CHKERRQ(ierr); 321 ierr = ISGetLocalSize(stratum, &n);CHKERRQ(ierr); 322 ierr = ISGetIndices(stratum, &points);CHKERRQ(ierr); 323 ierr = PetscMalloc2(n, &ray, n, &svals);CHKERRQ(ierr); 324 for (i = 0; i < n; ++i) { 325 ierr = PetscSectionGetOffset(coordSection, points[i], &off);CHKERRQ(ierr); 326 ierr = PetscSectionGetOffset(section, points[i], &offu);CHKERRQ(ierr); 327 ray[i] = PetscRealPart(coords[off+((planeDir[p]+1)%2)]); 328 svals[i] = array[offu]; 329 } 330 /* Gather the ray data to proc 0 */ 331 if (size > 1) { 332 PetscMPIInt *cnt, *displs, p; 333 334 ierr = PetscCalloc2(size, &cnt, size, &displs);CHKERRQ(ierr); 335 ierr = MPI_Gather(&n, 1, MPIU_INT, cnt, 1, MPIU_INT, 0, comm);CHKERRMPI(ierr); 336 for (p = 1; p < size; ++p) displs[p] = displs[p-1] + cnt[p-1]; 337 N = displs[size-1] + cnt[size-1]; 338 ierr = PetscMalloc2(N, &gray, N, &gsvals);CHKERRQ(ierr); 339 ierr = MPI_Gatherv(ray, n, MPIU_REAL, gray, cnt, displs, MPIU_REAL, 0, comm);CHKERRMPI(ierr); 340 ierr = MPI_Gatherv(svals, n, MPIU_SCALAR, gsvals, cnt, displs, MPIU_SCALAR, 0, comm);CHKERRMPI(ierr); 341 ierr = PetscFree2(cnt, displs);CHKERRQ(ierr); 342 } else { 343 N = n; 344 gray = ray; 345 gsvals = svals; 346 } 347 if (!rank) { 348 /* Sort point along ray */ 349 ierr = PetscMalloc2(N, &perm, N, &nperm);CHKERRQ(ierr); 350 for (i = 0; i < N; ++i) {perm[i] = i;} 351 ierr = PetscSortRealWithPermutation(N, gray, perm);CHKERRQ(ierr); 352 /* Count duplicates and squish mapping */ 353 nperm[0] = perm[0]; 354 for (i = 1, j = 1; i < N; ++i) { 355 if (PetscAbsReal(gray[perm[i]] - gray[perm[i-1]]) > PETSC_SMALL) nperm[j++] = perm[i]; 356 } 357 /* Create FFT structs */ 358 ierr = MatCreateFFT(PETSC_COMM_SELF, 1, &j, MATFFTW, &F);CHKERRQ(ierr); 359 ierr = MatCreateVecs(F, &x, &y);CHKERRQ(ierr); 360 ierr = PetscObjectSetName((PetscObject) y, name);CHKERRQ(ierr); 361 ierr = VecGetArray(x, &rvals);CHKERRQ(ierr); 362 for (i = 0, j = 0; i < N; ++i) { 363 if (i > 0 && PetscAbsReal(gray[perm[i]] - gray[perm[i-1]]) < PETSC_SMALL) continue; 364 rvals[j] = gsvals[nperm[j]]; 365 ++j; 366 } 367 ierr = PetscFree2(perm, nperm);CHKERRQ(ierr); 368 if (size > 1) {ierr = PetscFree2(gray, gsvals);CHKERRQ(ierr);} 369 ierr = VecRestoreArray(x, &rvals);CHKERRQ(ierr); 370 /* Do FFT along the ray */ 371 ierr = MatMult(F, x, y);CHKERRQ(ierr); 372 /* Chop FFT */ 373 ierr = VecChop(y, PETSC_SMALL);CHKERRQ(ierr); 374 ierr = VecViewFromOptions(x, NULL, "-real_view");CHKERRQ(ierr); 375 ierr = VecViewFromOptions(y, NULL, "-fft_view");CHKERRQ(ierr); 376 ierr = VecDestroy(&x);CHKERRQ(ierr); 377 ierr = VecDestroy(&y);CHKERRQ(ierr); 378 ierr = MatDestroy(&F);CHKERRQ(ierr); 379 } 380 ierr = ISRestoreIndices(stratum, &points);CHKERRQ(ierr); 381 ierr = ISDestroy(&stratum);CHKERRQ(ierr); 382 ierr = PetscFree2(ray, svals);CHKERRQ(ierr); 383 } 384 ierr = VecRestoreArrayRead(coordinates, &coords);CHKERRQ(ierr); 385 ierr = VecRestoreArrayRead(uloc, &array);CHKERRQ(ierr); 386 ierr = DMRestoreLocalVector(dm, &uloc);CHKERRQ(ierr); 387 PetscFunctionReturn(0); 388 } 389 390 int main(int argc, char **argv) 391 { 392 DM dm; /* Problem specification */ 393 SNES snes; /* Nonlinear solver */ 394 Vec u; /* Solutions */ 395 AppCtx user; /* User-defined work context */ 396 PetscErrorCode ierr; 397 398 ierr = PetscInitialize(&argc, &argv, NULL, help);if (ierr) return ierr; 399 ierr = ProcessOptions(PETSC_COMM_WORLD, &user);CHKERRQ(ierr); 400 /* Primal system */ 401 ierr = SNESCreate(PETSC_COMM_WORLD, &snes);CHKERRQ(ierr); 402 ierr = CreateMesh(PETSC_COMM_WORLD, &user, &dm);CHKERRQ(ierr); 403 ierr = SNESSetDM(snes, dm);CHKERRQ(ierr); 404 ierr = SetupDiscretization(dm, "potential", SetupPrimalProblem, &user);CHKERRQ(ierr); 405 ierr = DMCreateGlobalVector(dm, &u);CHKERRQ(ierr); 406 ierr = VecSet(u, 0.0);CHKERRQ(ierr); 407 ierr = PetscObjectSetName((PetscObject) u, "potential");CHKERRQ(ierr); 408 ierr = DMPlexSetSNESLocalFEM(dm, &user, &user, &user);CHKERRQ(ierr); 409 ierr = SNESSetFromOptions(snes);CHKERRQ(ierr); 410 ierr = SNESSolve(snes, NULL, u);CHKERRQ(ierr); 411 ierr = SNESGetSolution(snes, &u);CHKERRQ(ierr); 412 ierr = VecViewFromOptions(u, NULL, "-potential_view");CHKERRQ(ierr); 413 if (user.spectral) { 414 PetscInt planeDir[2] = {0, 1}; 415 PetscReal planeCoord[2] = {0., 1.}; 416 417 ierr = ComputeSpectral(dm, u, 2, planeDir, planeCoord, &user);CHKERRQ(ierr); 418 } 419 /* Adjoint system */ 420 if (user.adjoint) { 421 DM dmAdj; 422 SNES snesAdj; 423 Vec uAdj; 424 425 ierr = SNESCreate(PETSC_COMM_WORLD, &snesAdj);CHKERRQ(ierr); 426 ierr = PetscObjectSetOptionsPrefix((PetscObject) snesAdj, "adjoint_");CHKERRQ(ierr); 427 ierr = DMClone(dm, &dmAdj);CHKERRQ(ierr); 428 ierr = SNESSetDM(snesAdj, dmAdj);CHKERRQ(ierr); 429 ierr = SetupDiscretization(dmAdj, "adjoint", SetupAdjointProblem, &user);CHKERRQ(ierr); 430 ierr = DMCreateGlobalVector(dmAdj, &uAdj);CHKERRQ(ierr); 431 ierr = VecSet(uAdj, 0.0);CHKERRQ(ierr); 432 ierr = PetscObjectSetName((PetscObject) uAdj, "adjoint");CHKERRQ(ierr); 433 ierr = DMPlexSetSNESLocalFEM(dmAdj, &user, &user, &user);CHKERRQ(ierr); 434 ierr = SNESSetFromOptions(snesAdj);CHKERRQ(ierr); 435 ierr = SNESSolve(snesAdj, NULL, uAdj);CHKERRQ(ierr); 436 ierr = SNESGetSolution(snesAdj, &uAdj);CHKERRQ(ierr); 437 ierr = VecViewFromOptions(uAdj, NULL, "-adjoint_view");CHKERRQ(ierr); 438 /* Error representation */ 439 { 440 DM dmErr, dmErrAux, dms[2]; 441 Vec errorEst, errorL2, uErr, uErrLoc, uAdjLoc, uAdjProj; 442 IS *subis; 443 PetscReal errorEstTot, errorL2Norm, errorL2Tot; 444 PetscInt N, i; 445 PetscErrorCode (*funcs[1])(PetscInt, PetscReal, const PetscReal [], PetscInt, PetscScalar *, void *) = {user.homogeneous ? trig_homogeneous_u : trig_inhomogeneous_u}; 446 void (*identity[1])(PetscInt, PetscInt, PetscInt, 447 const PetscInt[], const PetscInt[], const PetscScalar[], const PetscScalar[], const PetscScalar[], 448 const PetscInt[], const PetscInt[], const PetscScalar[], const PetscScalar[], const PetscScalar[], 449 PetscReal, const PetscReal[], PetscInt, const PetscScalar[], PetscScalar[]) = {f0_identityaux_u}; 450 void *ctxs[1] = {0}; 451 452 ctxs[0] = &user; 453 ierr = DMClone(dm, &dmErr);CHKERRQ(ierr); 454 ierr = SetupDiscretization(dmErr, "error", SetupErrorProblem, &user);CHKERRQ(ierr); 455 ierr = DMGetGlobalVector(dmErr, &errorEst);CHKERRQ(ierr); 456 ierr = DMGetGlobalVector(dmErr, &errorL2);CHKERRQ(ierr); 457 /* Compute auxiliary data (solution and projection of adjoint solution) */ 458 ierr = DMGetLocalVector(dmAdj, &uAdjLoc);CHKERRQ(ierr); 459 ierr = DMGlobalToLocalBegin(dmAdj, uAdj, INSERT_VALUES, uAdjLoc);CHKERRQ(ierr); 460 ierr = DMGlobalToLocalEnd(dmAdj, uAdj, INSERT_VALUES, uAdjLoc);CHKERRQ(ierr); 461 ierr = DMGetGlobalVector(dm, &uAdjProj);CHKERRQ(ierr); 462 ierr = DMSetAuxiliaryVec(dm, NULL, 0, uAdjLoc);CHKERRQ(ierr); 463 ierr = DMProjectField(dm, 0.0, u, identity, INSERT_VALUES, uAdjProj);CHKERRQ(ierr); 464 ierr = DMSetAuxiliaryVec(dm, NULL, 0, NULL);CHKERRQ(ierr); 465 ierr = DMRestoreLocalVector(dmAdj, &uAdjLoc);CHKERRQ(ierr); 466 /* Attach auxiliary data */ 467 dms[0] = dm; dms[1] = dm; 468 ierr = DMCreateSuperDM(dms, 2, &subis, &dmErrAux);CHKERRQ(ierr); 469 if (0) { 470 PetscSection sec; 471 472 ierr = DMGetLocalSection(dms[0], &sec);CHKERRQ(ierr); 473 ierr = PetscSectionView(sec, PETSC_VIEWER_STDOUT_WORLD);CHKERRQ(ierr); 474 ierr = DMGetLocalSection(dms[1], &sec);CHKERRQ(ierr); 475 ierr = PetscSectionView(sec, PETSC_VIEWER_STDOUT_WORLD);CHKERRQ(ierr); 476 ierr = DMGetLocalSection(dmErrAux, &sec);CHKERRQ(ierr); 477 ierr = PetscSectionView(sec, PETSC_VIEWER_STDOUT_WORLD);CHKERRQ(ierr); 478 } 479 ierr = DMViewFromOptions(dmErrAux, NULL, "-dm_err_view");CHKERRQ(ierr); 480 ierr = ISViewFromOptions(subis[0], NULL, "-super_is_view");CHKERRQ(ierr); 481 ierr = ISViewFromOptions(subis[1], NULL, "-super_is_view");CHKERRQ(ierr); 482 ierr = DMGetGlobalVector(dmErrAux, &uErr);CHKERRQ(ierr); 483 ierr = VecViewFromOptions(u, NULL, "-map_vec_view");CHKERRQ(ierr); 484 ierr = VecViewFromOptions(uAdjProj, NULL, "-map_vec_view");CHKERRQ(ierr); 485 ierr = VecViewFromOptions(uErr, NULL, "-map_vec_view");CHKERRQ(ierr); 486 ierr = VecISCopy(uErr, subis[0], SCATTER_FORWARD, u);CHKERRQ(ierr); 487 ierr = VecISCopy(uErr, subis[1], SCATTER_FORWARD, uAdjProj);CHKERRQ(ierr); 488 ierr = DMRestoreGlobalVector(dm, &uAdjProj);CHKERRQ(ierr); 489 for (i = 0; i < 2; ++i) {ierr = ISDestroy(&subis[i]);CHKERRQ(ierr);} 490 ierr = PetscFree(subis);CHKERRQ(ierr); 491 ierr = DMGetLocalVector(dmErrAux, &uErrLoc);CHKERRQ(ierr); 492 ierr = DMGlobalToLocalBegin(dm, uErr, INSERT_VALUES, uErrLoc);CHKERRQ(ierr); 493 ierr = DMGlobalToLocalEnd(dm, uErr, INSERT_VALUES, uErrLoc);CHKERRQ(ierr); 494 ierr = DMRestoreGlobalVector(dmErrAux, &uErr);CHKERRQ(ierr); 495 ierr = DMSetAuxiliaryVec(dmAdj, NULL, 0, uErrLoc);CHKERRQ(ierr); 496 /* Compute cellwise error estimate */ 497 ierr = VecSet(errorEst, 0.0);CHKERRQ(ierr); 498 ierr = DMPlexComputeCellwiseIntegralFEM(dmAdj, uAdj, errorEst, &user);CHKERRQ(ierr); 499 ierr = DMSetAuxiliaryVec(dmAdj, NULL, 0, NULL);CHKERRQ(ierr); 500 ierr = DMRestoreLocalVector(dmErrAux, &uErrLoc);CHKERRQ(ierr); 501 ierr = DMDestroy(&dmErrAux);CHKERRQ(ierr); 502 /* Plot cellwise error vector */ 503 ierr = VecViewFromOptions(errorEst, NULL, "-error_view");CHKERRQ(ierr); 504 /* Compute ratio of estimate (sum over cells) with actual L_2 error */ 505 ierr = DMComputeL2Diff(dm, 0.0, funcs, ctxs, u, &errorL2Norm);CHKERRQ(ierr); 506 ierr = DMPlexComputeL2DiffVec(dm, 0.0, funcs, ctxs, u, errorL2);CHKERRQ(ierr); 507 ierr = VecViewFromOptions(errorL2, NULL, "-l2_error_view");CHKERRQ(ierr); 508 ierr = VecNorm(errorL2, NORM_INFINITY, &errorL2Tot);CHKERRQ(ierr); 509 ierr = VecNorm(errorEst, NORM_INFINITY, &errorEstTot);CHKERRQ(ierr); 510 ierr = VecGetSize(errorEst, &N);CHKERRQ(ierr); 511 ierr = VecPointwiseDivide(errorEst, errorEst, errorL2);CHKERRQ(ierr); 512 ierr = PetscObjectSetName((PetscObject) errorEst, "Error ratio");CHKERRQ(ierr); 513 ierr = VecViewFromOptions(errorEst, NULL, "-error_ratio_view");CHKERRQ(ierr); 514 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); 515 ierr = DMRestoreGlobalVector(dmErr, &errorEst);CHKERRQ(ierr); 516 ierr = DMRestoreGlobalVector(dmErr, &errorL2);CHKERRQ(ierr); 517 ierr = DMDestroy(&dmErr);CHKERRQ(ierr); 518 } 519 ierr = DMDestroy(&dmAdj);CHKERRQ(ierr); 520 ierr = VecDestroy(&uAdj);CHKERRQ(ierr); 521 ierr = SNESDestroy(&snesAdj);CHKERRQ(ierr); 522 } 523 /* Cleanup */ 524 ierr = VecDestroy(&u);CHKERRQ(ierr); 525 ierr = SNESDestroy(&snes);CHKERRQ(ierr); 526 ierr = DMDestroy(&dm);CHKERRQ(ierr); 527 ierr = PetscFinalize(); 528 return ierr; 529 } 530 531 /*TEST 532 533 test: 534 # Using -dm_refine 2 -convest_num_refine 3 we get L_2 convergence rate: 1.9 535 suffix: 2d_p1_conv 536 requires: triangle 537 args: -potential_petscspace_degree 1 -snes_convergence_estimate -convest_num_refine 2 538 test: 539 # Using -dm_refine 2 -convest_num_refine 3 we get L_2 convergence rate: 2.9 540 suffix: 2d_p2_conv 541 requires: triangle 542 args: -potential_petscspace_degree 2 -snes_convergence_estimate -convest_num_refine 2 543 test: 544 # Using -dm_refine 2 -convest_num_refine 3 we get L_2 convergence rate: 3.9 545 suffix: 2d_p3_conv 546 requires: triangle 547 args: -potential_petscspace_degree 3 -snes_convergence_estimate -convest_num_refine 2 548 test: 549 # Using -dm_refine 2 -convest_num_refine 3 we get L_2 convergence rate: 1.9 550 suffix: 2d_q1_conv 551 args: -dm_plex_box_simplex 0 -potential_petscspace_degree 1 -snes_convergence_estimate -convest_num_refine 2 552 test: 553 # Using -dm_refine 2 -convest_num_refine 3 we get L_2 convergence rate: 2.9 554 suffix: 2d_q2_conv 555 args: -dm_plex_box_simplex 0 -potential_petscspace_degree 2 -snes_convergence_estimate -convest_num_refine 2 556 test: 557 # Using -dm_refine 2 -convest_num_refine 3 we get L_2 convergence rate: 3.9 558 suffix: 2d_q3_conv 559 args: -dm_plex_box_simplex 0 -potential_petscspace_degree 3 -snes_convergence_estimate -convest_num_refine 2 560 test: 561 # Using -dm_refine 2 -convest_num_refine 3 we get L_2 convergence rate: 1.9 562 suffix: 2d_q1_shear_conv 563 args: -dm_plex_box_simplex 0 -shear -potential_petscspace_degree 1 -snes_convergence_estimate -convest_num_refine 2 564 test: 565 # Using -dm_refine 2 -convest_num_refine 3 we get L_2 convergence rate: 2.9 566 suffix: 2d_q2_shear_conv 567 args: -dm_plex_box_simplex 0 -shear -potential_petscspace_degree 2 -snes_convergence_estimate -convest_num_refine 2 568 test: 569 # Using -dm_refine 2 -convest_num_refine 3 we get L_2 convergence rate: 3.9 570 suffix: 2d_q3_shear_conv 571 args: -dm_plex_box_simplex 0 -shear -potential_petscspace_degree 3 -snes_convergence_estimate -convest_num_refine 2 572 test: 573 # Using -convest_num_refine 3 we get L_2 convergence rate: 1.7 574 suffix: 3d_p1_conv 575 requires: ctetgen 576 args: -dm_plex_box_dim 3 -dm_refine 1 -potential_petscspace_degree 1 -snes_convergence_estimate -convest_num_refine 1 577 test: 578 # Using -dm_refine 1 -convest_num_refine 3 we get L_2 convergence rate: 2.8 579 suffix: 3d_p2_conv 580 requires: ctetgen 581 args: -dm_plex_box_dim 3 -dm_plex_box_faces 2,2,2 -potential_petscspace_degree 2 -snes_convergence_estimate -convest_num_refine 1 582 test: 583 # Using -dm_refine 1 -convest_num_refine 3 we get L_2 convergence rate: 4.0 584 suffix: 3d_p3_conv 585 requires: ctetgen 586 args: -dm_plex_box_dim 3 -dm_plex_box_faces 2,2,2 -potential_petscspace_degree 3 -snes_convergence_estimate -convest_num_refine 1 587 test: 588 # Using -dm_refine 2 -convest_num_refine 3 we get L_2 convergence rate: 1.8 589 suffix: 3d_q1_conv 590 args: -dm_plex_box_dim 3 -dm_plex_box_simplex 0 -dm_refine 1 -potential_petscspace_degree 1 -snes_convergence_estimate -convest_num_refine 1 591 test: 592 # Using -dm_refine 2 -convest_num_refine 3 we get L_2 convergence rate: 2.8 593 suffix: 3d_q2_conv 594 args: -dm_plex_box_dim 3 -dm_plex_box_simplex 0 -potential_petscspace_degree 2 -snes_convergence_estimate -convest_num_refine 1 595 test: 596 # Using -dm_refine 1 -convest_num_refine 3 we get L_2 convergence rate: 3.8 597 suffix: 3d_q3_conv 598 args: -dm_plex_box_dim 3 -dm_plex_box_simplex 0 -potential_petscspace_degree 3 -snes_convergence_estimate -convest_num_refine 1 599 test: 600 suffix: 2d_p1_fas_full 601 requires: triangle 602 args: -potential_petscspace_degree 1 -dm_refine_hierarchy 5 -dm_distribute \ 603 -snes_max_it 1 -snes_type fas -snes_fas_levels 5 -snes_fas_type full -snes_fas_full_total \ 604 -fas_coarse_snes_monitor -fas_coarse_snes_max_it 1 -fas_coarse_ksp_atol 1.e-13 \ 605 -fas_levels_snes_monitor -fas_levels_snes_max_it 1 -fas_levels_snes_type newtonls \ 606 -fas_levels_pc_type none -fas_levels_ksp_max_it 2 -fas_levels_ksp_converged_maxits -fas_levels_ksp_type chebyshev \ 607 -fas_levels_esteig_ksp_type cg -fas_levels_ksp_chebyshev_esteig 0,0.25,0,1.05 -fas_levels_esteig_ksp_max_it 10 608 test: 609 suffix: 2d_p1_fas_full_homogeneous 610 requires: triangle 611 args: -homogeneous -potential_petscspace_degree 1 -dm_refine_hierarchy 5 -dm_distribute \ 612 -snes_max_it 1 -snes_type fas -snes_fas_levels 5 -snes_fas_type full \ 613 -fas_coarse_snes_monitor -fas_coarse_snes_max_it 1 -fas_coarse_ksp_atol 1.e-13 \ 614 -fas_levels_snes_monitor -fas_levels_snes_max_it 1 -fas_levels_snes_type newtonls \ 615 -fas_levels_pc_type none -fas_levels_ksp_max_it 2 -fas_levels_ksp_converged_maxits -fas_levels_ksp_type chebyshev \ 616 -fas_levels_esteig_ksp_type cg -fas_levels_ksp_chebyshev_esteig 0,0.25,0,1.05 -fas_levels_esteig_ksp_max_it 10 617 618 test: 619 suffix: 2d_p1_scalable 620 requires: triangle 621 args: -potential_petscspace_degree 1 -dm_refine 3 \ 622 -ksp_type cg -ksp_rtol 1.e-11 -ksp_norm_type unpreconditioned \ 623 -pc_type gamg \ 624 -pc_gamg_type agg -pc_gamg_agg_nsmooths 1 \ 625 -pc_gamg_coarse_eq_limit 1000 \ 626 -pc_gamg_square_graph 1 \ 627 -pc_gamg_threshold 0.05 \ 628 -pc_gamg_threshold_scale .0 \ 629 -mg_levels_ksp_type chebyshev \ 630 -mg_levels_ksp_max_it 1 \ 631 -mg_levels_esteig_ksp_type cg \ 632 -mg_levels_esteig_ksp_max_it 10 \ 633 -mg_levels_ksp_chebyshev_esteig 0,0.05,0,1.05 \ 634 -mg_levels_pc_type jacobi \ 635 -matptap_via scalable 636 test: 637 suffix: 2d_p1_gmg_vcycle 638 requires: triangle 639 args: -potential_petscspace_degree 1 -dm_plex_box_faces 2,2 -dm_refine_hierarchy 3 \ 640 -ksp_rtol 5e-10 -pc_type mg \ 641 -mg_levels_ksp_max_it 1 \ 642 -mg_levels_esteig_ksp_type cg \ 643 -mg_levels_esteig_ksp_max_it 10 \ 644 -mg_levels_ksp_chebyshev_esteig 0,0.05,0,1.05 \ 645 -mg_levels_pc_type jacobi 646 test: 647 suffix: 2d_p1_gmg_fcycle 648 requires: triangle 649 args: -potential_petscspace_degree 1 -dm_plex_box_faces 2,2 -dm_refine_hierarchy 3 \ 650 -ksp_rtol 5e-10 -pc_type mg -pc_mg_type full \ 651 -mg_levels_ksp_max_it 2 \ 652 -mg_levels_esteig_ksp_type cg \ 653 -mg_levels_esteig_ksp_max_it 10 \ 654 -mg_levels_ksp_chebyshev_esteig 0,0.05,0,1.05 \ 655 -mg_levels_pc_type jacobi 656 test: 657 suffix: 2d_p1_gmg_vcycle_adapt 658 requires: triangle bamg 659 args: -potential_petscspace_degree 1 -dm_plex_box_faces 2,2 -dm_refine_hierarchy 3 \ 660 -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 \ 661 -mg_levels_ksp_max_it 1 \ 662 -mg_levels_esteig_ksp_type cg \ 663 -mg_levels_esteig_ksp_max_it 10 \ 664 -mg_levels_ksp_chebyshev_esteig 0,0.05,0,1.05 \ 665 -mg_levels_pc_type jacobi 666 test: 667 suffix: 2d_p1_spectral_0 668 requires: triangle fftw !complex 669 args: -dm_plex_box_faces 1,1 -potential_petscspace_degree 1 -dm_refine 6 -spectral -fft_view 670 test: 671 suffix: 2d_p1_spectral_1 672 requires: triangle fftw !complex 673 nsize: 2 674 args: -dm_plex_box_faces 4,4 -dm_distribute -potential_petscspace_degree 1 -spectral -fft_view 675 test: 676 suffix: 2d_p1_adj_0 677 requires: triangle 678 args: -potential_petscspace_degree 1 -dm_refine 1 -adjoint -adjoint_petscspace_degree 1 -error_petscspace_degree 0 679 test: 680 nsize: 2 681 requires: kokkos_kernels 682 suffix: kokkos 683 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 \ 684 -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 \ 685 -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 \ 686 -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 687 688 TEST*/ 689