1 static char help[] = "Stokes Problem discretized with finite elements,\n\ 2 using a parallel unstructured mesh (DMPLEX) to represent the domain.\n\n\n"; 3 4 /* 5 For the isoviscous Stokes problem, which we discretize using the finite 6 element method on an unstructured mesh, the weak form equations are 7 8 < \nabla v, \nabla u + {\nabla u}^T > - < \nabla\cdot v, p > - < v, f > = 0 9 < q, -\nabla\cdot u > = 0 10 11 Viewing: 12 13 To produce nice output, use 14 15 -dm_refine 3 -dm_view hdf5:sol1.h5 -error_vec_view hdf5:sol1.h5::append -snes_view_solution hdf5:sol1.h5::append -exact_vec_view hdf5:sol1.h5::append 16 17 You can get a LaTeX view of the mesh, with point numbering using 18 19 -dm_view :mesh.tex:ascii_latex -dm_plex_view_scale 8.0 20 21 The data layout can be viewed using 22 23 -dm_petscsection_view 24 25 Lots of information about the FEM assembly can be printed using 26 27 -dm_plex_print_fem 3 28 */ 29 30 #include <petscdmplex.h> 31 #include <petscsnes.h> 32 #include <petscds.h> 33 #include <petscbag.h> 34 35 // TODO: Plot residual by fields after each smoother iterate 36 37 typedef enum {SOL_QUADRATIC, SOL_TRIG, SOL_UNKNOWN} SolType; 38 const char *SolTypes[] = {"quadratic", "trig", "unknown", "SolType", "SOL_", 0}; 39 40 typedef struct { 41 PetscScalar mu; /* dynamic shear viscosity */ 42 } Parameter; 43 44 typedef struct { 45 PetscBag bag; /* Problem parameters */ 46 SolType sol; /* MMS solution */ 47 } AppCtx; 48 49 static void f1_u(PetscInt dim, PetscInt Nf, PetscInt NfAux, 50 const PetscInt uOff[], const PetscInt uOff_x[], const PetscScalar u[], const PetscScalar u_t[], const PetscScalar u_x[], 51 const PetscInt aOff[], const PetscInt aOff_x[], const PetscScalar a[], const PetscScalar a_t[], const PetscScalar a_x[], 52 PetscReal t, const PetscReal x[], PetscInt numConstants, const PetscScalar constants[], PetscScalar f1[]) 53 { 54 const PetscReal mu = PetscRealPart(constants[0]); 55 const PetscInt Nc = uOff[1]-uOff[0]; 56 PetscInt c, d; 57 58 for (c = 0; c < Nc; ++c) { 59 for (d = 0; d < dim; ++d) { 60 f1[c*dim+d] = mu * (u_x[c*dim+d] + u_x[d*dim+c]); 61 } 62 f1[c*dim+c] -= u[uOff[1]]; 63 } 64 } 65 66 static void f0_p(PetscInt dim, PetscInt Nf, PetscInt NfAux, 67 const PetscInt uOff[], const PetscInt uOff_x[], const PetscScalar u[], const PetscScalar u_t[], const PetscScalar u_x[], 68 const PetscInt aOff[], const PetscInt aOff_x[], const PetscScalar a[], const PetscScalar a_t[], const PetscScalar a_x[], 69 PetscReal t, const PetscReal x[], PetscInt numConstants, const PetscScalar constants[], PetscScalar f0[]) 70 { 71 PetscInt d; 72 for (d = 0, f0[0] = 0.0; d < dim; ++d) f0[0] -= u_x[d*dim+d]; 73 } 74 75 static void g1_pu(PetscInt dim, PetscInt Nf, PetscInt NfAux, 76 const PetscInt uOff[], const PetscInt uOff_x[], const PetscScalar u[], const PetscScalar u_t[], const PetscScalar u_x[], 77 const PetscInt aOff[], const PetscInt aOff_x[], const PetscScalar a[], const PetscScalar a_t[], const PetscScalar a_x[], 78 PetscReal t, PetscReal u_tShift, const PetscReal x[], PetscInt numConstants, const PetscScalar constants[], PetscScalar g1[]) 79 { 80 PetscInt d; 81 for (d = 0; d < dim; ++d) g1[d*dim+d] = -1.0; /* < q, -\nabla\cdot u > */ 82 } 83 84 static void g2_up(PetscInt dim, PetscInt Nf, PetscInt NfAux, 85 const PetscInt uOff[], const PetscInt uOff_x[], const PetscScalar u[], const PetscScalar u_t[], const PetscScalar u_x[], 86 const PetscInt aOff[], const PetscInt aOff_x[], const PetscScalar a[], const PetscScalar a_t[], const PetscScalar a_x[], 87 PetscReal t, PetscReal u_tShift, const PetscReal x[], PetscInt numConstants, const PetscScalar constants[], PetscScalar g2[]) 88 { 89 PetscInt d; 90 for (d = 0; d < dim; ++d) g2[d*dim+d] = -1.0; /* -< \nabla\cdot v, p > */ 91 } 92 93 static void g3_uu(PetscInt dim, PetscInt Nf, PetscInt NfAux, 94 const PetscInt uOff[], const PetscInt uOff_x[], const PetscScalar u[], const PetscScalar u_t[], const PetscScalar u_x[], 95 const PetscInt aOff[], const PetscInt aOff_x[], const PetscScalar a[], const PetscScalar a_t[], const PetscScalar a_x[], 96 PetscReal t, PetscReal u_tShift, const PetscReal x[], PetscInt numConstants, const PetscScalar constants[], PetscScalar g3[]) 97 { 98 const PetscReal mu = PetscRealPart(constants[0]); 99 const PetscInt Nc = uOff[1]-uOff[0]; 100 PetscInt c, d; 101 102 for (c = 0; c < Nc; ++c) { 103 for (d = 0; d < dim; ++d) { 104 g3[((c*Nc+c)*dim+d)*dim+d] += mu; /* < \nabla v, \nabla u > */ 105 g3[((c*Nc+d)*dim+d)*dim+c] += mu; /* < \nabla v, {\nabla u}^T > */ 106 } 107 } 108 } 109 110 static void g0_pp(PetscInt dim, PetscInt Nf, PetscInt NfAux, 111 const PetscInt uOff[], const PetscInt uOff_x[], const PetscScalar u[], const PetscScalar u_t[], const PetscScalar u_x[], 112 const PetscInt aOff[], const PetscInt aOff_x[], const PetscScalar a[], const PetscScalar a_t[], const PetscScalar a_x[], 113 PetscReal t, PetscReal u_tShift, const PetscReal x[], PetscInt numConstants, const PetscScalar constants[], PetscScalar g0[]) 114 { 115 const PetscReal mu = PetscRealPart(constants[0]); 116 117 g0[0] = 1.0/mu; 118 } 119 120 /* Quadratic MMS Solution 121 2D: 122 123 u = x^2 + y^2 124 v = 2 x^2 - 2xy 125 p = x + y - 1 126 f = <1 - 4 mu, 1 - 4 mu> 127 128 so that 129 130 e(u) = (grad u + grad u^T) = / 4x 4x \ 131 \ 4x -4x / 132 div mu e(u) - \nabla p + f = mu <4, 4> - <1, 1> + <1 - 4 mu, 1 - 4 mu> = 0 133 \nabla \cdot u = 2x - 2x = 0 134 135 3D: 136 137 u = 2 x^2 + y^2 + z^2 138 v = 2 x^2 - 2xy 139 w = 2 x^2 - 2xz 140 p = x + y + z - 3/2 141 f = <1 - 8 mu, 1 - 4 mu, 1 - 4 mu> 142 143 so that 144 145 e(u) = (grad u + grad u^T) = / 8x 4x 4x \ 146 | 4x -4x 0 | 147 \ 4x 0 -4x / 148 div mu e(u) - \nabla p + f = mu <8, 4, 4> - <1, 1, 1> + <1 - 8 mu, 1 - 4 mu, 1 - 4 mu> = 0 149 \nabla \cdot u = 4x - 2x - 2x = 0 150 */ 151 static PetscErrorCode quadratic_u(PetscInt dim, PetscReal time, const PetscReal x[], PetscInt Nc, PetscScalar *u, void *ctx) 152 { 153 PetscInt c; 154 155 u[0] = (dim-1)*PetscSqr(x[0]); 156 for (c = 1; c < Nc; ++c) { 157 u[0] += PetscSqr(x[c]); 158 u[c] = 2.0*PetscSqr(x[0]) - 2.0*x[0]*x[c]; 159 } 160 return 0; 161 } 162 163 static PetscErrorCode quadratic_p(PetscInt dim, PetscReal time, const PetscReal x[], PetscInt Nc, PetscScalar *u, void *ctx) 164 { 165 PetscInt d; 166 167 u[0] = -0.5*dim; 168 for (d = 0; d < dim; ++d) u[0] += x[d]; 169 return 0; 170 } 171 172 static void f0_quadratic_u(PetscInt dim, PetscInt Nf, PetscInt NfAux, 173 const PetscInt uOff[], const PetscInt uOff_x[], const PetscScalar u[], const PetscScalar u_t[], const PetscScalar u_x[], 174 const PetscInt aOff[], const PetscInt aOff_x[], const PetscScalar a[], const PetscScalar a_t[], const PetscScalar a_x[], 175 PetscReal t, const PetscReal x[], PetscInt numConstants, const PetscScalar constants[], PetscScalar f0[]) 176 { 177 const PetscReal mu = PetscRealPart(constants[0]); 178 PetscInt d; 179 180 f0[0] = (dim-1)*4.0*mu - 1.0; 181 for (d = 1; d < dim; ++d) f0[d] = 4.0*mu - 1.0; 182 } 183 184 /* Trigonometric MMS Solution 185 2D: 186 187 u = sin(pi x) + sin(pi y) 188 v = -pi cos(pi x) y 189 p = sin(2 pi x) + sin(2 pi y) 190 f = <2pi cos(2 pi x) + mu pi^2 sin(pi x) + mu pi^2 sin(pi y), 2pi cos(2 pi y) - mu pi^3 cos(pi x) y> 191 192 so that 193 194 e(u) = (grad u + grad u^T) = / 2pi cos(pi x) pi cos(pi y) + pi^2 sin(pi x) y \ 195 \ pi cos(pi y) + pi^2 sin(pi x) y -2pi cos(pi x) / 196 div mu e(u) - \nabla p + f = mu <-pi^2 sin(pi x) - pi^2 sin(pi y), pi^3 cos(pi x) y> - <2pi cos(2 pi x), 2pi cos(2 pi y)> + <f_x, f_y> = 0 197 \nabla \cdot u = pi cos(pi x) - pi cos(pi x) = 0 198 199 3D: 200 201 u = 2 sin(pi x) + sin(pi y) + sin(pi z) 202 v = -pi cos(pi x) y 203 w = -pi cos(pi x) z 204 p = sin(2 pi x) + sin(2 pi y) + sin(2 pi z) 205 f = <2pi cos(2 pi x) + mu 2pi^2 sin(pi x) + mu pi^2 sin(pi y) + mu pi^2 sin(pi z), 2pi cos(2 pi y) - mu pi^3 cos(pi x) y, 2pi cos(2 pi z) - mu pi^3 cos(pi x) z> 206 207 so that 208 209 e(u) = (grad u + grad u^T) = / 4pi cos(pi x) pi cos(pi y) + pi^2 sin(pi x) y pi cos(pi z) + pi^2 sin(pi x) z \ 210 | pi cos(pi y) + pi^2 sin(pi x) y -2pi cos(pi x) 0 | 211 \ pi cos(pi z) + pi^2 sin(pi x) z 0 -2pi cos(pi x) / 212 div mu e(u) - \nabla p + f = mu <-2pi^2 sin(pi x) - pi^2 sin(pi y) - pi^2 sin(pi z), pi^3 cos(pi x) y, pi^3 cos(pi x) z> - <2pi cos(2 pi x), 2pi cos(2 pi y), 2pi cos(2 pi z)> + <f_x, f_y, f_z> = 0 213 \nabla \cdot u = 2 pi cos(pi x) - pi cos(pi x) - pi cos(pi x) = 0 214 */ 215 static PetscErrorCode trig_u(PetscInt dim, PetscReal time, const PetscReal x[], PetscInt Nc, PetscScalar *u, void *ctx) 216 { 217 PetscInt c; 218 219 u[0] = (dim-1)*PetscSinReal(PETSC_PI*x[0]); 220 for (c = 1; c < Nc; ++c) { 221 u[0] += PetscSinReal(PETSC_PI*x[c]); 222 u[c] = -PETSC_PI*PetscCosReal(PETSC_PI*x[0]) * x[c]; 223 } 224 return 0; 225 } 226 227 static PetscErrorCode trig_p(PetscInt dim, PetscReal time, const PetscReal x[], PetscInt Nc, PetscScalar *u, void *ctx) 228 { 229 PetscInt d; 230 231 for (d = 0, u[0] = 0.0; d < dim; ++d) u[0] += PetscSinReal(2.0*PETSC_PI*x[d]); 232 return 0; 233 } 234 235 static void f0_trig_u(PetscInt dim, PetscInt Nf, PetscInt NfAux, 236 const PetscInt uOff[], const PetscInt uOff_x[], const PetscScalar u[], const PetscScalar u_t[], const PetscScalar u_x[], 237 const PetscInt aOff[], const PetscInt aOff_x[], const PetscScalar a[], const PetscScalar a_t[], const PetscScalar a_x[], 238 PetscReal t, const PetscReal x[], PetscInt numConstants, const PetscScalar constants[], PetscScalar f0[]) 239 { 240 const PetscReal mu = PetscRealPart(constants[0]); 241 PetscInt d; 242 243 f0[0] = -2.0*PETSC_PI*PetscCosReal(2.0*PETSC_PI*x[0]) - (dim-1)*mu*PetscSqr(PETSC_PI)*PetscSinReal(PETSC_PI*x[0]); 244 for (d = 1; d < dim; ++d) { 245 f0[0] -= mu*PetscSqr(PETSC_PI)*PetscSinReal(PETSC_PI*x[d]); 246 f0[d] = -2.0*PETSC_PI*PetscCosReal(2.0*PETSC_PI*x[d]) + mu*PetscPowRealInt(PETSC_PI, 3)*PetscCosReal(PETSC_PI*x[0])*x[d]; 247 } 248 } 249 250 static PetscErrorCode ProcessOptions(MPI_Comm comm, AppCtx *options) 251 { 252 PetscInt sol; 253 254 PetscFunctionBeginUser; 255 options->sol = SOL_QUADRATIC; 256 PetscOptionsBegin(comm, "", "Stokes Problem Options", "DMPLEX"); 257 sol = options->sol; 258 PetscCall(PetscOptionsEList("-sol", "The MMS solution", "ex62.c", SolTypes, PETSC_STATIC_ARRAY_LENGTH(SolTypes)-3, SolTypes[options->sol], &sol, NULL)); 259 options->sol = (SolType) sol; 260 PetscOptionsEnd(); 261 PetscFunctionReturn(0); 262 } 263 264 static PetscErrorCode CreateMesh(MPI_Comm comm, AppCtx *user, DM *dm) 265 { 266 PetscFunctionBeginUser; 267 PetscCall(DMCreate(comm, dm)); 268 PetscCall(DMSetType(*dm, DMPLEX)); 269 PetscCall(DMSetFromOptions(*dm)); 270 PetscCall(DMViewFromOptions(*dm, NULL, "-dm_view")); 271 PetscFunctionReturn(0); 272 } 273 274 static PetscErrorCode SetupParameters(MPI_Comm comm, AppCtx *ctx) 275 { 276 Parameter *p; 277 278 PetscFunctionBeginUser; 279 /* setup PETSc parameter bag */ 280 PetscCall(PetscBagCreate(PETSC_COMM_SELF, sizeof(Parameter), &ctx->bag)); 281 PetscCall(PetscBagGetData(ctx->bag, (void **) &p)); 282 PetscCall(PetscBagSetName(ctx->bag, "par", "Stokes Parameters")); 283 PetscCall(PetscBagRegisterScalar(ctx->bag, &p->mu, 1.0, "mu", "Dynamic Shear Viscosity, Pa s")); 284 PetscCall(PetscBagSetFromOptions(ctx->bag)); 285 { 286 PetscViewer viewer; 287 PetscViewerFormat format; 288 PetscBool flg; 289 290 PetscCall(PetscOptionsGetViewer(comm, NULL, NULL, "-param_view", &viewer, &format, &flg)); 291 if (flg) { 292 PetscCall(PetscViewerPushFormat(viewer, format)); 293 PetscCall(PetscBagView(ctx->bag, viewer)); 294 PetscCall(PetscViewerFlush(viewer)); 295 PetscCall(PetscViewerPopFormat(viewer)); 296 PetscCall(PetscViewerDestroy(&viewer)); 297 } 298 } 299 PetscFunctionReturn(0); 300 } 301 302 static PetscErrorCode SetupEqn(DM dm, AppCtx *user) 303 { 304 PetscErrorCode (*exactFuncs[2])(PetscInt, PetscReal, const PetscReal[], PetscInt, PetscScalar *, void *); 305 PetscDS ds; 306 DMLabel label; 307 const PetscInt id = 1; 308 309 PetscFunctionBeginUser; 310 PetscCall(DMGetDS(dm, &ds)); 311 switch (user->sol) { 312 case SOL_QUADRATIC: 313 PetscCall(PetscDSSetResidual(ds, 0, f0_quadratic_u, f1_u)); 314 exactFuncs[0] = quadratic_u; 315 exactFuncs[1] = quadratic_p; 316 break; 317 case SOL_TRIG: 318 PetscCall(PetscDSSetResidual(ds, 0, f0_trig_u, f1_u)); 319 exactFuncs[0] = trig_u; 320 exactFuncs[1] = trig_p; 321 break; 322 default: SETERRQ(PetscObjectComm((PetscObject) dm), PETSC_ERR_ARG_WRONG, "Unsupported solution type: %s (%d)", SolTypes[PetscMin(user->sol, SOL_UNKNOWN)], user->sol); 323 } 324 PetscCall(PetscDSSetResidual(ds, 1, f0_p, NULL)); 325 PetscCall(PetscDSSetJacobian(ds, 0, 0, NULL, NULL, NULL, g3_uu)); 326 PetscCall(PetscDSSetJacobian(ds, 0, 1, NULL, NULL, g2_up, NULL)); 327 PetscCall(PetscDSSetJacobian(ds, 1, 0, NULL, g1_pu, NULL, NULL)); 328 PetscCall(PetscDSSetJacobianPreconditioner(ds, 0, 0, NULL, NULL, NULL, g3_uu)); 329 PetscCall(PetscDSSetJacobianPreconditioner(ds, 1, 1, g0_pp, NULL, NULL, NULL)); 330 331 PetscCall(PetscDSSetExactSolution(ds, 0, exactFuncs[0], user)); 332 PetscCall(PetscDSSetExactSolution(ds, 1, exactFuncs[1], user)); 333 334 PetscCall(DMGetLabel(dm, "marker", &label)); 335 PetscCall(DMAddBoundary(dm, DM_BC_ESSENTIAL, "wall", label, 1, &id, 0, 0, NULL, (void (*)(void)) exactFuncs[0], NULL, user, NULL)); 336 337 /* Make constant values available to pointwise functions */ 338 { 339 Parameter *param; 340 PetscScalar constants[1]; 341 342 PetscCall(PetscBagGetData(user->bag, (void **) ¶m)); 343 constants[0] = param->mu; /* dynamic shear viscosity, Pa s */ 344 PetscCall(PetscDSSetConstants(ds, 1, constants)); 345 } 346 PetscFunctionReturn(0); 347 } 348 349 static PetscErrorCode zero(PetscInt dim, PetscReal time, const PetscReal x[], PetscInt Nc, PetscScalar *u, void *ctx) 350 { 351 PetscInt c; 352 for (c = 0; c < Nc; ++c) u[c] = 0.0; 353 return 0; 354 } 355 static PetscErrorCode one(PetscInt dim, PetscReal time, const PetscReal x[], PetscInt Nc, PetscScalar *u, void *ctx) 356 { 357 PetscInt c; 358 for (c = 0; c < Nc; ++c) u[c] = 1.0; 359 return 0; 360 } 361 362 static PetscErrorCode CreatePressureNullSpace(DM dm, PetscInt origField, PetscInt field, MatNullSpace *nullspace) 363 { 364 Vec vec; 365 PetscErrorCode (*funcs[2])(PetscInt dim, PetscReal time, const PetscReal x[], PetscInt Nf, PetscScalar *u, void* ctx) = {zero, one}; 366 367 PetscFunctionBeginUser; 368 PetscCheck(origField == 1,PetscObjectComm((PetscObject) dm), PETSC_ERR_ARG_WRONG, "Field %" PetscInt_FMT " should be 1 for pressure", origField); 369 funcs[field] = one; 370 { 371 PetscDS ds; 372 PetscCall(DMGetDS(dm, &ds)); 373 PetscCall(PetscObjectViewFromOptions((PetscObject) ds, NULL, "-ds_view")); 374 } 375 PetscCall(DMCreateGlobalVector(dm, &vec)); 376 PetscCall(DMProjectFunction(dm, 0.0, funcs, NULL, INSERT_ALL_VALUES, vec)); 377 PetscCall(VecNormalize(vec, NULL)); 378 PetscCall(MatNullSpaceCreate(PetscObjectComm((PetscObject)dm), PETSC_FALSE, 1, &vec, nullspace)); 379 PetscCall(VecDestroy(&vec)); 380 /* New style for field null spaces */ 381 { 382 PetscObject pressure; 383 MatNullSpace nullspacePres; 384 385 PetscCall(DMGetField(dm, field, NULL, &pressure)); 386 PetscCall(MatNullSpaceCreate(PetscObjectComm(pressure), PETSC_TRUE, 0, NULL, &nullspacePres)); 387 PetscCall(PetscObjectCompose(pressure, "nullspace", (PetscObject) nullspacePres)); 388 PetscCall(MatNullSpaceDestroy(&nullspacePres)); 389 } 390 PetscFunctionReturn(0); 391 } 392 393 static PetscErrorCode SetupProblem(DM dm, PetscErrorCode (*setupEqn)(DM, AppCtx *), AppCtx *user) 394 { 395 DM cdm = dm; 396 PetscQuadrature q = NULL; 397 PetscBool simplex; 398 PetscInt dim, Nf = 2, f, Nc[2]; 399 const char *name[2] = {"velocity", "pressure"}; 400 const char *prefix[2] = {"vel_", "pres_"}; 401 402 PetscFunctionBegin; 403 PetscCall(DMGetDimension(dm, &dim)); 404 PetscCall(DMPlexIsSimplex(dm, &simplex)); 405 Nc[0] = dim; 406 Nc[1] = 1; 407 for (f = 0; f < Nf; ++f) { 408 PetscFE fe; 409 410 PetscCall(PetscFECreateDefault(PETSC_COMM_SELF, dim, Nc[f], simplex, prefix[f], -1, &fe)); 411 PetscCall(PetscObjectSetName((PetscObject) fe, name[f])); 412 if (!q) PetscCall(PetscFEGetQuadrature(fe, &q)); 413 PetscCall(PetscFESetQuadrature(fe, q)); 414 PetscCall(DMSetField(dm, f, NULL, (PetscObject) fe)); 415 PetscCall(PetscFEDestroy(&fe)); 416 } 417 PetscCall(DMCreateDS(dm)); 418 PetscCall((*setupEqn)(dm, user)); 419 while (cdm) { 420 PetscCall(DMCopyDisc(dm, cdm)); 421 PetscCall(DMSetNullSpaceConstructor(cdm, 1, CreatePressureNullSpace)); 422 PetscCall(DMGetCoarseDM(cdm, &cdm)); 423 } 424 PetscFunctionReturn(0); 425 } 426 427 int main(int argc, char **argv) 428 { 429 SNES snes; 430 DM dm; 431 Vec u; 432 AppCtx user; 433 434 PetscCall(PetscInitialize(&argc, &argv, NULL, help)); 435 PetscCall(ProcessOptions(PETSC_COMM_WORLD, &user)); 436 PetscCall(CreateMesh(PETSC_COMM_WORLD, &user, &dm)); 437 PetscCall(SNESCreate(PetscObjectComm((PetscObject) dm), &snes)); 438 PetscCall(SNESSetDM(snes, dm)); 439 PetscCall(DMSetApplicationContext(dm, &user)); 440 441 PetscCall(SetupParameters(PETSC_COMM_WORLD, &user)); 442 PetscCall(SetupProblem(dm, SetupEqn, &user)); 443 PetscCall(DMPlexCreateClosureIndex(dm, NULL)); 444 445 PetscCall(DMCreateGlobalVector(dm, &u)); 446 PetscCall(DMPlexSetSNESLocalFEM(dm, &user, &user, &user)); 447 PetscCall(SNESSetFromOptions(snes)); 448 PetscCall(DMSNESCheckFromOptions(snes, u)); 449 PetscCall(PetscObjectSetName((PetscObject) u, "Solution")); 450 { 451 Mat J; 452 MatNullSpace sp; 453 454 PetscCall(SNESSetUp(snes)); 455 PetscCall(CreatePressureNullSpace(dm, 1, 1, &sp)); 456 PetscCall(SNESGetJacobian(snes, &J, NULL, NULL, NULL)); 457 PetscCall(MatSetNullSpace(J, sp)); 458 PetscCall(MatNullSpaceDestroy(&sp)); 459 PetscCall(PetscObjectSetName((PetscObject) J, "Jacobian")); 460 PetscCall(MatViewFromOptions(J, NULL, "-J_view")); 461 } 462 PetscCall(SNESSolve(snes, NULL, u)); 463 464 PetscCall(VecDestroy(&u)); 465 PetscCall(SNESDestroy(&snes)); 466 PetscCall(DMDestroy(&dm)); 467 PetscCall(PetscBagDestroy(&user.bag)); 468 PetscCall(PetscFinalize()); 469 return 0; 470 } 471 /*TEST 472 473 test: 474 suffix: 2d_p2_p1_check 475 requires: triangle 476 args: -sol quadratic -vel_petscspace_degree 2 -pres_petscspace_degree 1 -dmsnes_check 0.0001 477 478 test: 479 suffix: 2d_p2_p1_check_parallel 480 nsize: {{2 3 5}} 481 requires: triangle 482 args: -sol quadratic -dm_refine 2 -petscpartitioner_type simple -vel_petscspace_degree 2 -pres_petscspace_degree 1 -dmsnes_check 0.0001 483 484 test: 485 suffix: 3d_p2_p1_check 486 requires: ctetgen 487 args: -sol quadratic -dm_plex_dim 3 -dm_plex_box_faces 2,2,2 -vel_petscspace_degree 2 -pres_petscspace_degree 1 -dmsnes_check 0.0001 488 489 test: 490 suffix: 3d_p2_p1_check_parallel 491 nsize: {{2 3 5}} 492 requires: ctetgen 493 args: -sol quadratic -dm_refine 2 -dm_plex_dim 3 -dm_plex_box_faces 2,2,2 -petscpartitioner_type simple -vel_petscspace_degree 2 -pres_petscspace_degree 1 -dmsnes_check 0.0001 494 495 test: 496 suffix: 2d_p2_p1_conv 497 requires: triangle 498 # Using -dm_refine 3 gives L_2 convergence rate: [3.0, 2.1] 499 args: -sol trig -vel_petscspace_degree 2 -pres_petscspace_degree 1 -snes_convergence_estimate -convest_num_refine 2 -ksp_error_if_not_converged \ 500 -ksp_atol 1e-10 -ksp_error_if_not_converged -pc_use_amat \ 501 -pc_type fieldsplit -pc_fieldsplit_type schur -pc_fieldsplit_schur_fact_type full -pc_fieldsplit_schur_precondition a11 -pc_fieldsplit_off_diag_use_amat \ 502 -fieldsplit_velocity_pc_type lu -fieldsplit_pressure_ksp_rtol 1e-10 -fieldsplit_pressure_pc_type lu 503 504 test: 505 suffix: 2d_p2_p1_conv_gamg 506 requires: triangle 507 args: -sol trig -vel_petscspace_degree 2 -pres_petscspace_degree 1 -snes_convergence_estimate -convest_num_refine 2 \ 508 -pc_type fieldsplit -pc_fieldsplit_type schur -pc_fieldsplit_schur_fact_type full -pc_fieldsplit_schur_precondition full \ 509 -fieldsplit_velocity_pc_type lu -fieldsplit_pressure_ksp_rtol 1e-10 -fieldsplit_pressure_pc_type gamg -fieldsplit_pressure_mg_coarse_pc_type svd 510 511 test: 512 suffix: 3d_p2_p1_conv 513 requires: ctetgen !single 514 # Using -dm_refine 2 -convest_num_refine 2 gives L_2 convergence rate: [2.8, 2.8] 515 args: -sol trig -dm_plex_dim 3 -dm_refine 1 -vel_petscspace_degree 2 -pres_petscspace_degree 1 -snes_convergence_estimate -convest_num_refine 1 \ 516 -ksp_atol 1e-10 -ksp_error_if_not_converged -pc_use_amat \ 517 -pc_type fieldsplit -pc_fieldsplit_type schur -pc_fieldsplit_schur_fact_type full -pc_fieldsplit_schur_precondition a11 -pc_fieldsplit_off_diag_use_amat \ 518 -fieldsplit_velocity_pc_type lu -fieldsplit_pressure_ksp_rtol 1e-10 -fieldsplit_pressure_pc_type lu 519 520 test: 521 suffix: 2d_q2_q1_check 522 args: -sol quadratic -dm_plex_simplex 0 -vel_petscspace_degree 2 -pres_petscspace_degree 1 -dmsnes_check 0.0001 523 524 test: 525 suffix: 3d_q2_q1_check 526 args: -sol quadratic -dm_plex_simplex 0 -dm_plex_dim 3 -dm_plex_box_faces 2,2,2 -vel_petscspace_degree 2 -pres_petscspace_degree 1 -dmsnes_check 0.0001 527 528 test: 529 suffix: 2d_q2_q1_conv 530 # Using -dm_refine 3 -convest_num_refine 1 gives L_2 convergence rate: [3.0, 2.1] 531 args: -sol trig -dm_plex_simplex 0 -vel_petscspace_degree 2 -pres_petscspace_degree 1 -snes_convergence_estimate -convest_num_refine 1 -ksp_error_if_not_converged \ 532 -ksp_atol 1e-10 -ksp_error_if_not_converged -pc_use_amat \ 533 -pc_type fieldsplit -pc_fieldsplit_type schur -pc_fieldsplit_schur_fact_type full -pc_fieldsplit_schur_precondition a11 -pc_fieldsplit_off_diag_use_amat \ 534 -fieldsplit_velocity_pc_type lu -fieldsplit_pressure_ksp_rtol 1e-10 -fieldsplit_pressure_pc_type lu 535 536 test: 537 suffix: 3d_q2_q1_conv 538 requires: !single 539 # Using -dm_refine 2 -convest_num_refine 2 gives L_2 convergence rate: [2.8, 2.4] 540 args: -sol trig -dm_plex_simplex 0 -dm_plex_dim 3 -vel_petscspace_degree 2 -pres_petscspace_degree 1 -snes_convergence_estimate -convest_num_refine 1 \ 541 -ksp_atol 1e-10 -ksp_error_if_not_converged -pc_use_amat \ 542 -pc_type fieldsplit -pc_fieldsplit_type schur -pc_fieldsplit_schur_fact_type full -pc_fieldsplit_schur_precondition a11 -pc_fieldsplit_off_diag_use_amat \ 543 -fieldsplit_velocity_pc_type lu -fieldsplit_pressure_ksp_rtol 1e-10 -fieldsplit_pressure_pc_type lu 544 545 test: 546 suffix: 2d_p3_p2_check 547 requires: triangle 548 args: -sol quadratic -vel_petscspace_degree 3 -pres_petscspace_degree 2 -dmsnes_check 0.0001 549 550 test: 551 suffix: 3d_p3_p2_check 552 requires: ctetgen !single 553 args: -sol quadratic -dm_plex_dim 3 -dm_plex_box_faces 2,2,2 -vel_petscspace_degree 3 -pres_petscspace_degree 2 -dmsnes_check 0.0001 554 555 test: 556 suffix: 2d_p3_p2_conv 557 requires: triangle 558 # Using -dm_refine 2 gives L_2 convergence rate: [3.8, 3.0] 559 args: -sol trig -vel_petscspace_degree 3 -pres_petscspace_degree 2 -snes_convergence_estimate -convest_num_refine 2 -ksp_error_if_not_converged \ 560 -ksp_atol 1e-10 -ksp_error_if_not_converged -pc_use_amat \ 561 -pc_type fieldsplit -pc_fieldsplit_type schur -pc_fieldsplit_schur_fact_type full -pc_fieldsplit_schur_precondition a11 -pc_fieldsplit_off_diag_use_amat \ 562 -fieldsplit_velocity_pc_type lu -fieldsplit_pressure_ksp_rtol 1e-10 -fieldsplit_pressure_pc_type lu 563 564 test: 565 suffix: 3d_p3_p2_conv 566 requires: ctetgen long_runtime 567 # Using -dm_refine 1 -convest_num_refine 2 gives L_2 convergence rate: [3.6, 3.9] 568 args: -sol trig -dm_plex_dim 3 -dm_refine 1 -vel_petscspace_degree 3 -pres_petscspace_degree 2 -snes_convergence_estimate -convest_num_refine 2 \ 569 -ksp_atol 1e-10 -ksp_error_if_not_converged -pc_use_amat \ 570 -pc_type fieldsplit -pc_fieldsplit_type schur -pc_fieldsplit_schur_fact_type full -pc_fieldsplit_schur_precondition a11 -pc_fieldsplit_off_diag_use_amat \ 571 -fieldsplit_velocity_pc_type lu -fieldsplit_pressure_ksp_rtol 1e-10 -fieldsplit_pressure_pc_type lu 572 573 test: 574 suffix: 2d_q1_p0_conv 575 requires: !single 576 # Using -dm_refine 3 gives L_2 convergence rate: [1.9, 1.0] 577 args: -sol quadratic -dm_plex_simplex 0 -vel_petscspace_degree 1 -pres_petscspace_degree 0 -snes_convergence_estimate -convest_num_refine 2 \ 578 -ksp_atol 1e-10 -petscds_jac_pre 0 \ 579 -pc_type fieldsplit -pc_fieldsplit_type schur -pc_fieldsplit_schur_fact_type full -pc_fieldsplit_schur_precondition full \ 580 -fieldsplit_velocity_pc_type lu -fieldsplit_pressure_ksp_rtol 1e-10 -fieldsplit_pressure_pc_type gamg -fieldsplit_pressure_mg_levels_pc_type jacobi -fieldsplit_pressure_mg_coarse_pc_type svd 581 582 test: 583 suffix: 3d_q1_p0_conv 584 requires: !single 585 # Using -dm_refine 2 -convest_num_refine 2 gives L_2 convergence rate: [1.7, 1.0] 586 args: -sol quadratic -dm_plex_simplex 0 -dm_plex_dim 3 -dm_refine 1 -vel_petscspace_degree 1 -pres_petscspace_degree 0 -snes_convergence_estimate -convest_num_refine 1 \ 587 -ksp_atol 1e-10 -petscds_jac_pre 0 \ 588 -pc_type fieldsplit -pc_fieldsplit_type schur -pc_fieldsplit_schur_fact_type full -pc_fieldsplit_schur_precondition full \ 589 -fieldsplit_velocity_pc_type lu -fieldsplit_pressure_ksp_rtol 1e-10 -fieldsplit_pressure_pc_type gamg -fieldsplit_pressure_mg_levels_pc_type jacobi -fieldsplit_pressure_mg_coarse_pc_type svd 590 591 # Stokes preconditioners 592 # Block diagonal \begin{pmatrix} A & 0 \\ 0 & I \end{pmatrix} 593 test: 594 suffix: 2d_p2_p1_block_diagonal 595 requires: triangle 596 args: -sol quadratic -dm_refine 2 -vel_petscspace_degree 2 -pres_petscspace_degree 1 -petscds_jac_pre 0 \ 597 -snes_error_if_not_converged \ 598 -ksp_type fgmres -ksp_gmres_restart 100 -ksp_rtol 1.0e-4 -ksp_error_if_not_converged \ 599 -pc_type fieldsplit -pc_fieldsplit_type additive -fieldsplit_velocity_pc_type lu -fieldsplit_pressure_pc_type jacobi 600 # Block triangular \begin{pmatrix} A & B \\ 0 & I \end{pmatrix} 601 test: 602 suffix: 2d_p2_p1_block_triangular 603 requires: triangle 604 args: -sol quadratic -dm_refine 2 -vel_petscspace_degree 2 -pres_petscspace_degree 1 -petscds_jac_pre 0 \ 605 -snes_error_if_not_converged \ 606 -ksp_type fgmres -ksp_gmres_restart 100 -ksp_rtol 1.0e-9 -ksp_error_if_not_converged \ 607 -pc_type fieldsplit -pc_fieldsplit_type multiplicative -fieldsplit_velocity_pc_type lu -fieldsplit_pressure_pc_type jacobi 608 # Diagonal Schur complement \begin{pmatrix} A & 0 \\ 0 & S \end{pmatrix} 609 test: 610 suffix: 2d_p2_p1_schur_diagonal 611 requires: triangle 612 args: -sol quadratic -dm_refine 2 -vel_petscspace_degree 2 -pres_petscspace_degree 1 \ 613 -snes_error_if_not_converged \ 614 -ksp_type fgmres -ksp_gmres_restart 100 -ksp_rtol 1.0e-9 -ksp_error_if_not_converged -pc_use_amat \ 615 -pc_type fieldsplit -pc_fieldsplit_type schur -pc_fieldsplit_schur_factorization_type diag -pc_fieldsplit_off_diag_use_amat \ 616 -fieldsplit_velocity_pc_type lu -fieldsplit_pressure_ksp_rtol 1e-10 -fieldsplit_pressure_pc_type jacobi 617 # Upper triangular Schur complement \begin{pmatrix} A & B \\ 0 & S \end{pmatrix} 618 test: 619 suffix: 2d_p2_p1_schur_upper 620 requires: triangle 621 args: -sol quadratic -dm_refine 2 -vel_petscspace_degree 2 -pres_petscspace_degree 1 -dmsnes_check 0.0001 \ 622 -ksp_type fgmres -ksp_gmres_restart 100 -ksp_rtol 1.0e-9 -ksp_error_if_not_converged -pc_use_amat \ 623 -pc_type fieldsplit -pc_fieldsplit_type schur -pc_fieldsplit_schur_factorization_type upper -pc_fieldsplit_off_diag_use_amat \ 624 -fieldsplit_velocity_pc_type lu -fieldsplit_pressure_ksp_rtol 1e-10 -fieldsplit_pressure_pc_type jacobi 625 # Lower triangular Schur complement \begin{pmatrix} A & B \\ 0 & S \end{pmatrix} 626 test: 627 suffix: 2d_p2_p1_schur_lower 628 requires: triangle 629 args: -sol quadratic -dm_refine 2 -vel_petscspace_degree 2 -pres_petscspace_degree 1 \ 630 -snes_error_if_not_converged \ 631 -ksp_type fgmres -ksp_gmres_restart 100 -ksp_rtol 1.0e-9 -ksp_error_if_not_converged -pc_use_amat \ 632 -pc_type fieldsplit -pc_fieldsplit_type schur -pc_fieldsplit_schur_factorization_type lower -pc_fieldsplit_off_diag_use_amat \ 633 -fieldsplit_velocity_pc_type lu -fieldsplit_pressure_ksp_rtol 1e-10 -fieldsplit_pressure_pc_type jacobi 634 # Full Schur complement \begin{pmatrix} I & 0 \\ B^T A^{-1} & I \end{pmatrix} \begin{pmatrix} A & 0 \\ 0 & S \end{pmatrix} \begin{pmatrix} I & A^{-1} B \\ 0 & I \end{pmatrix} 635 test: 636 suffix: 2d_p2_p1_schur_full 637 requires: triangle 638 args: -sol quadratic -dm_refine 2 -vel_petscspace_degree 2 -pres_petscspace_degree 1 \ 639 -snes_error_if_not_converged \ 640 -ksp_type fgmres -ksp_gmres_restart 100 -ksp_rtol 1.0e-9 -ksp_error_if_not_converged -pc_use_amat \ 641 -pc_type fieldsplit -pc_fieldsplit_type schur -pc_fieldsplit_schur_factorization_type full -pc_fieldsplit_off_diag_use_amat \ 642 -fieldsplit_velocity_pc_type lu -fieldsplit_pressure_ksp_rtol 1e-10 -fieldsplit_pressure_pc_type jacobi 643 # Full Schur + Velocity GMG 644 test: 645 suffix: 2d_p2_p1_gmg_vcycle 646 requires: triangle 647 args: -sol quadratic -dm_refine_hierarchy 2 -vel_petscspace_degree 2 -pres_petscspace_degree 1 \ 648 -ksp_type fgmres -ksp_atol 1e-9 -snes_error_if_not_converged -pc_use_amat \ 649 -pc_type fieldsplit -pc_fieldsplit_type schur -pc_fieldsplit_schur_fact_type full -pc_fieldsplit_off_diag_use_amat \ 650 -fieldsplit_velocity_pc_type mg -fieldsplit_pressure_ksp_rtol 1e-10 -fieldsplit_pressure_pc_type gamg -fieldsplit_pressure_pc_gamg_esteig_ksp_max_it 10 -fieldsplit_pressure_mg_levels_pc_type sor -fieldsplit_pressure_mg_coarse_pc_type svd 651 # SIMPLE \begin{pmatrix} I & 0 \\ B^T A^{-1} & I \end{pmatrix} \begin{pmatrix} A & 0 \\ 0 & B^T diag(A)^{-1} B \end{pmatrix} \begin{pmatrix} I & diag(A)^{-1} B \\ 0 & I \end{pmatrix} 652 test: 653 suffix: 2d_p2_p1_simple 654 requires: triangle 655 args: -sol quadratic -dm_refine 2 -vel_petscspace_degree 2 -pres_petscspace_degree 1 -petscds_jac_pre 0 \ 656 -snes_error_if_not_converged \ 657 -ksp_type fgmres -ksp_gmres_restart 100 -ksp_rtol 1.0e-9 -ksp_error_if_not_converged \ 658 -pc_type fieldsplit -pc_fieldsplit_type schur -pc_fieldsplit_schur_factorization_type full \ 659 -fieldsplit_velocity_pc_type lu -fieldsplit_pressure_ksp_rtol 1e-10 -fieldsplit_pressure_pc_type jacobi \ 660 -fieldsplit_pressure_inner_ksp_type preonly -fieldsplit_pressure_inner_pc_type jacobi -fieldsplit_pressure_upper_ksp_type preonly -fieldsplit_pressure_upper_pc_type jacobi 661 # FETI-DP solvers (these solvers are quite inefficient, they are here to exercise the code) 662 test: 663 suffix: 2d_p2_p1_fetidp 664 requires: triangle mumps 665 nsize: 5 666 args: -sol quadratic -dm_refine 2 -dm_mat_type is -petscpartitioner_type simple -vel_petscspace_degree 2 -pres_petscspace_degree 1 -petscds_jac_pre 0 \ 667 -snes_error_if_not_converged \ 668 -ksp_type fetidp -ksp_rtol 1.0e-8 \ 669 -ksp_fetidp_saddlepoint -fetidp_ksp_type cg \ 670 -fetidp_fieldsplit_p_ksp_max_it 1 -fetidp_fieldsplit_p_ksp_type richardson -fetidp_fieldsplit_p_ksp_richardson_scale 200 -fetidp_fieldsplit_p_pc_type none \ 671 -fetidp_bddc_pc_bddc_dirichlet_pc_factor_mat_solver_type mumps -fetidp_bddc_pc_bddc_neumann_pc_factor_mat_solver_type mumps -fetidp_fieldsplit_lag_ksp_type preonly 672 test: 673 suffix: 2d_q2_q1_fetidp 674 requires: mumps 675 nsize: 5 676 args: -sol quadratic -dm_plex_simplex 0 -dm_refine 2 -dm_mat_type is -petscpartitioner_type simple -vel_petscspace_degree 2 -pres_petscspace_degree 1 -petscds_jac_pre 0 \ 677 -ksp_type fetidp -ksp_rtol 1.0e-8 -ksp_error_if_not_converged \ 678 -ksp_fetidp_saddlepoint -fetidp_ksp_type cg \ 679 -fetidp_fieldsplit_p_ksp_max_it 1 -fetidp_fieldsplit_p_ksp_type richardson -fetidp_fieldsplit_p_ksp_richardson_scale 200 -fetidp_fieldsplit_p_pc_type none \ 680 -fetidp_bddc_pc_bddc_dirichlet_pc_factor_mat_solver_type mumps -fetidp_bddc_pc_bddc_neumann_pc_factor_mat_solver_type mumps -fetidp_fieldsplit_lag_ksp_type preonly 681 test: 682 suffix: 3d_p2_p1_fetidp 683 requires: ctetgen mumps suitesparse 684 nsize: 5 685 args: -sol quadratic -dm_plex_dim 3 -dm_plex_box_faces 2,2,2 -dm_refine 1 -dm_mat_type is -petscpartitioner_type simple -vel_petscspace_degree 2 -pres_petscspace_degree 1 -petscds_jac_pre 0 \ 686 -snes_error_if_not_converged \ 687 -ksp_type fetidp -ksp_rtol 1.0e-9 \ 688 -ksp_fetidp_saddlepoint -fetidp_ksp_type cg \ 689 -fetidp_fieldsplit_p_ksp_max_it 1 -fetidp_fieldsplit_p_ksp_type richardson -fetidp_fieldsplit_p_ksp_richardson_scale 1000 -fetidp_fieldsplit_p_pc_type none \ 690 -fetidp_bddc_pc_bddc_use_deluxe_scaling -fetidp_bddc_pc_bddc_benign_trick -fetidp_bddc_pc_bddc_deluxe_singlemat \ 691 -fetidp_pc_discrete_harmonic -fetidp_harmonic_pc_factor_mat_solver_type petsc -fetidp_harmonic_pc_type cholesky \ 692 -fetidp_bddelta_pc_factor_mat_solver_type umfpack -fetidp_fieldsplit_lag_ksp_type preonly -fetidp_bddc_sub_schurs_mat_solver_type mumps -fetidp_bddc_sub_schurs_mat_mumps_icntl_14 100000 \ 693 -fetidp_bddelta_pc_factor_mat_ordering_type external \ 694 -fetidp_bddc_pc_bddc_dirichlet_pc_factor_mat_solver_type umfpack -fetidp_bddc_pc_bddc_neumann_pc_factor_mat_solver_type umfpack \ 695 -fetidp_bddc_pc_bddc_dirichlet_pc_factor_mat_ordering_type external -fetidp_bddc_pc_bddc_neumann_pc_factor_mat_ordering_type external 696 test: 697 suffix: 3d_q2_q1_fetidp 698 requires: suitesparse 699 nsize: 5 700 args: -sol quadratic -dm_plex_simplex 0 -dm_plex_dim 3 -dm_plex_box_faces 2,2,2 -dm_refine 1 -dm_mat_type is -petscpartitioner_type simple -vel_petscspace_degree 2 -pres_petscspace_degree 1 -petscds_jac_pre 0 \ 701 -snes_error_if_not_converged \ 702 -ksp_type fetidp -ksp_rtol 1.0e-8 \ 703 -ksp_fetidp_saddlepoint -fetidp_ksp_type cg \ 704 -fetidp_fieldsplit_p_ksp_max_it 1 -fetidp_fieldsplit_p_ksp_type richardson -fetidp_fieldsplit_p_ksp_richardson_scale 2000 -fetidp_fieldsplit_p_pc_type none \ 705 -fetidp_pc_discrete_harmonic -fetidp_harmonic_pc_factor_mat_solver_type petsc -fetidp_harmonic_pc_type cholesky \ 706 -fetidp_bddc_pc_bddc_symmetric -fetidp_fieldsplit_lag_ksp_type preonly \ 707 -fetidp_bddc_pc_bddc_dirichlet_pc_factor_mat_solver_type umfpack -fetidp_bddc_pc_bddc_neumann_pc_factor_mat_solver_type umfpack \ 708 -fetidp_bddc_pc_bddc_dirichlet_pc_factor_mat_ordering_type external -fetidp_bddc_pc_bddc_neumann_pc_factor_mat_ordering_type external 709 # BDDC solvers (these solvers are quite inefficient, they are here to exercise the code) 710 test: 711 suffix: 2d_p2_p1_bddc 712 nsize: 2 713 requires: triangle !single 714 args: -sol quadratic -dm_plex_box_faces 2,2,2 -dm_refine 1 -dm_mat_type is -petscpartitioner_type simple -vel_petscspace_degree 2 -pres_petscspace_degree 1 -petscds_jac_pre 0 \ 715 -snes_error_if_not_converged \ 716 -ksp_type gmres -ksp_gmres_restart 100 -ksp_rtol 1.0e-8 -ksp_error_if_not_converged \ 717 -pc_type bddc -pc_bddc_corner_selection -pc_bddc_dirichlet_pc_type svd -pc_bddc_neumann_pc_type svd -pc_bddc_coarse_redundant_pc_type svd 718 # Vanka 719 test: 720 suffix: 2d_q1_p0_vanka 721 requires: double !complex 722 args: -sol quadratic -dm_plex_simplex 0 -dm_refine 2 -vel_petscspace_degree 1 -pres_petscspace_degree 0 -petscds_jac_pre 0 \ 723 -snes_rtol 1.0e-4 \ 724 -ksp_type fgmres -ksp_atol 1e-5 -ksp_error_if_not_converged \ 725 -pc_type patch -pc_patch_partition_of_unity 0 -pc_patch_construct_codim 0 -pc_patch_construct_type vanka \ 726 -sub_ksp_type preonly -sub_pc_type lu 727 test: 728 suffix: 2d_q1_p0_vanka_denseinv 729 requires: double !complex 730 args: -sol quadratic -dm_plex_simplex 0 -dm_refine 2 -vel_petscspace_degree 1 -pres_petscspace_degree 0 -petscds_jac_pre 0 \ 731 -snes_rtol 1.0e-4 \ 732 -ksp_type fgmres -ksp_atol 1e-5 -ksp_error_if_not_converged \ 733 -pc_type patch -pc_patch_partition_of_unity 0 -pc_patch_construct_codim 0 -pc_patch_construct_type vanka \ 734 -pc_patch_dense_inverse -pc_patch_sub_mat_type seqdense 735 # Vanka smoother 736 test: 737 suffix: 2d_q1_p0_gmg_vanka 738 requires: double !complex 739 args: -sol quadratic -dm_plex_simplex 0 -dm_refine_hierarchy 2 -vel_petscspace_degree 1 -pres_petscspace_degree 0 -petscds_jac_pre 0 \ 740 -snes_rtol 1.0e-4 \ 741 -ksp_type fgmres -ksp_atol 1e-5 -ksp_error_if_not_converged \ 742 -pc_type mg \ 743 -mg_levels_ksp_type gmres -mg_levels_ksp_max_it 30 \ 744 -mg_levels_pc_type patch -mg_levels_pc_patch_partition_of_unity 0 -mg_levels_pc_patch_construct_codim 0 -mg_levels_pc_patch_construct_type vanka \ 745 -mg_levels_sub_ksp_type preonly -mg_levels_sub_pc_type lu \ 746 -mg_coarse_pc_type svd 747 748 TEST*/ 749