1 static char help[] = "Poisson Problem in 2d and 3d with simplicial 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 discretized auxiliary fields (conductivity) as well as\n\ 5 multilevel nonlinear solvers.\n\n\n"; 6 7 /* 8 A visualization of the adaptation can be accomplished using: 9 10 -dm_adapt_view hdf5:$PWD/adapt.h5 -sol_adapt_view hdf5:$PWD/adapt.h5::append -dm_adapt_pre_view hdf5:$PWD/orig.h5 -sol_adapt_pre_view hdf5:$PWD/orig.h5::append 11 12 Information on refinement: 13 14 -info :~sys,vec,is,mat,ksp,snes,ts 15 */ 16 17 #include <petscdmplex.h> 18 #include <petscdmadaptor.h> 19 #include <petscsnes.h> 20 #include <petscds.h> 21 #include <petscviewerhdf5.h> 22 23 typedef enum { 24 NEUMANN, 25 DIRICHLET, 26 NONE 27 } BCType; 28 typedef enum { 29 RUN_FULL, 30 RUN_EXACT, 31 RUN_TEST, 32 RUN_PERF 33 } RunType; 34 typedef enum { 35 COEFF_NONE, 36 COEFF_ANALYTIC, 37 COEFF_FIELD, 38 COEFF_NONLINEAR, 39 COEFF_BALL, 40 COEFF_CROSS, 41 COEFF_CHECKERBOARD_0, 42 COEFF_CHECKERBOARD_1 43 } CoeffType; 44 45 typedef struct { 46 RunType runType; /* Whether to run tests, or solve the full problem */ 47 PetscBool jacobianMF; /* Whether to calculate the Jacobian action on the fly */ 48 PetscBool showInitial, showSolution, restart, quiet, nonzInit; 49 /* Problem definition */ 50 BCType bcType; 51 CoeffType variableCoefficient; 52 PetscErrorCode (**exactFuncs)(PetscInt dim, PetscReal time, const PetscReal x[], PetscInt Nc, PetscScalar *u, void *ctx); 53 PetscBool fieldBC; 54 void (**exactFields)(PetscInt, PetscInt, PetscInt, const PetscInt[], const PetscInt[], const PetscScalar[], const PetscScalar[], const PetscScalar[], const PetscInt[], const PetscInt[], const PetscScalar[], const PetscScalar[], const PetscScalar[], PetscReal, const PetscReal[], PetscInt, const PetscScalar[], PetscScalar[]); 55 PetscBool bdIntegral; /* Compute the integral of the solution on the boundary */ 56 /* Reproducing tests from SISC 40(3), pp. A1473-A1493, 2018 */ 57 PetscInt div; /* Number of divisions */ 58 PetscInt k; /* Parameter for checkerboard coefficient */ 59 PetscInt *kgrid; /* Random parameter grid */ 60 PetscBool rand; /* Make random assignments */ 61 /* Solver */ 62 PC pcmg; /* This is needed for error monitoring */ 63 PetscBool checkksp; /* Whether to check the KSPSolve for runType == RUN_TEST */ 64 } AppCtx; 65 66 static PetscErrorCode zero(PetscInt dim, PetscReal time, const PetscReal x[], PetscInt Nc, PetscScalar *u, void *ctx) 67 { 68 u[0] = 0.0; 69 return PETSC_SUCCESS; 70 } 71 72 static PetscErrorCode ecks(PetscInt dim, PetscReal time, const PetscReal x[], PetscInt Nc, PetscScalar *u, void *ctx) 73 { 74 u[0] = x[0]; 75 return PETSC_SUCCESS; 76 } 77 78 /* 79 In 2D for Dirichlet conditions, we use exact solution: 80 81 u = x^2 + y^2 82 f = 4 83 84 so that 85 86 -\Delta u + f = -4 + 4 = 0 87 88 For Neumann conditions, we have 89 90 -\nabla u \cdot -\hat y |_{y=0} = (2y)|_{y=0} = 0 (bottom) 91 -\nabla u \cdot \hat y |_{y=1} = -(2y)|_{y=1} = -2 (top) 92 -\nabla u \cdot -\hat x |_{x=0} = (2x)|_{x=0} = 0 (left) 93 -\nabla u \cdot \hat x |_{x=1} = -(2x)|_{x=1} = -2 (right) 94 95 Which we can express as 96 97 \nabla u \cdot \hat n|_\Gamma = {2 x, 2 y} \cdot \hat n = 2 (x + y) 98 99 The boundary integral of this solution is (assuming we are not orienting the edges) 100 101 \int^1_0 x^2 dx + \int^1_0 (1 + y^2) dy + \int^1_0 (x^2 + 1) dx + \int^1_0 y^2 dy = 1/3 + 4/3 + 4/3 + 1/3 = 3 1/3 102 */ 103 static PetscErrorCode quadratic_u_2d(PetscInt dim, PetscReal time, const PetscReal x[], PetscInt Nc, PetscScalar *u, void *ctx) 104 { 105 *u = x[0] * x[0] + x[1] * x[1]; 106 return PETSC_SUCCESS; 107 } 108 109 static void quadratic_u_field_2d(PetscInt dim, PetscInt Nf, PetscInt NfAux, const PetscInt uOff[], const PetscInt uOff_x[], const PetscScalar u[], const PetscScalar u_t[], const PetscScalar u_x[], const PetscInt aOff[], const PetscInt aOff_x[], const PetscScalar a[], const PetscScalar a_t[], const PetscScalar a_x[], PetscReal t, const PetscReal x[], PetscInt numConstants, const PetscScalar constants[], PetscScalar uexact[]) 110 { 111 uexact[0] = a[0]; 112 } 113 114 static PetscErrorCode ball_u_2d(PetscInt dim, PetscReal time, const PetscReal x[], PetscInt Nc, PetscScalar *u, void *ctx) 115 { 116 const PetscReal alpha = 500.; 117 const PetscReal radius2 = PetscSqr(0.15); 118 const PetscReal r2 = PetscSqr(x[0] - 0.5) + PetscSqr(x[1] - 0.5); 119 const PetscReal xi = alpha * (radius2 - r2); 120 121 *u = PetscTanhScalar(xi) + 1.0; 122 return PETSC_SUCCESS; 123 } 124 125 static PetscErrorCode cross_u_2d(PetscInt dim, PetscReal time, const PetscReal x[], PetscInt Nc, PetscScalar *u, void *ctx) 126 { 127 const PetscReal alpha = 50 * 4; 128 const PetscReal xy = (x[0] - 0.5) * (x[1] - 0.5); 129 130 *u = PetscSinReal(alpha * xy) * (alpha * PetscAbsReal(xy) < 2 * PETSC_PI ? 1 : 0.01); 131 return PETSC_SUCCESS; 132 } 133 134 static void f0_u(PetscInt dim, PetscInt Nf, PetscInt NfAux, const PetscInt uOff[], const PetscInt uOff_x[], const PetscScalar u[], const PetscScalar u_t[], const PetscScalar u_x[], const PetscInt aOff[], const PetscInt aOff_x[], const PetscScalar a[], const PetscScalar a_t[], const PetscScalar a_x[], PetscReal t, const PetscReal x[], PetscInt numConstants, const PetscScalar constants[], PetscScalar f0[]) 135 { 136 f0[0] = 4.0; 137 } 138 139 static void f0_ball_u(PetscInt dim, PetscInt Nf, PetscInt NfAux, const PetscInt uOff[], const PetscInt uOff_x[], const PetscScalar u[], const PetscScalar u_t[], const PetscScalar u_x[], const PetscInt aOff[], const PetscInt aOff_x[], const PetscScalar a[], const PetscScalar a_t[], const PetscScalar a_x[], PetscReal t, const PetscReal x[], PetscInt numConstants, const PetscScalar constants[], PetscScalar f0[]) 140 { 141 PetscInt d; 142 const PetscReal alpha = 500., radius2 = PetscSqr(0.15); 143 PetscReal r2, xi; 144 145 for (d = 0, r2 = 0.0; d < dim; ++d) r2 += PetscSqr(x[d] - 0.5); 146 xi = alpha * (radius2 - r2); 147 f0[0] = (-2.0 * dim * alpha - 8.0 * PetscSqr(alpha) * r2 * PetscTanhReal(xi)) * PetscSqr(1.0 / PetscCoshReal(xi)); 148 } 149 150 static void f0_cross_u_2d(PetscInt dim, PetscInt Nf, PetscInt NfAux, const PetscInt uOff[], const PetscInt uOff_x[], const PetscScalar u[], const PetscScalar u_t[], const PetscScalar u_x[], const PetscInt aOff[], const PetscInt aOff_x[], const PetscScalar a[], const PetscScalar a_t[], const PetscScalar a_x[], PetscReal t, const PetscReal x[], PetscInt numConstants, const PetscScalar constants[], PetscScalar f0[]) 151 { 152 const PetscReal alpha = 50 * 4; 153 const PetscReal xy = (x[0] - 0.5) * (x[1] - 0.5); 154 155 f0[0] = PetscSinReal(alpha * xy) * (alpha * PetscAbsReal(xy) < 2 * PETSC_PI ? 1 : 0.01); 156 } 157 158 static void f0_checkerboard_0_u(PetscInt dim, PetscInt Nf, PetscInt NfAux, const PetscInt uOff[], const PetscInt uOff_x[], const PetscScalar u[], const PetscScalar u_t[], const PetscScalar u_x[], const PetscInt aOff[], const PetscInt aOff_x[], const PetscScalar a[], const PetscScalar a_t[], const PetscScalar a_x[], PetscReal t, const PetscReal x[], PetscInt numConstants, const PetscScalar constants[], PetscScalar f0[]) 159 { 160 f0[0] = -20.0 * PetscExpReal(-(PetscSqr(x[0] - 0.5) + PetscSqr(x[1] - 0.5))); 161 } 162 163 static void f0_bd_u(PetscInt dim, PetscInt Nf, PetscInt NfAux, const PetscInt uOff[], const PetscInt uOff_x[], const PetscScalar u[], const PetscScalar u_t[], const PetscScalar u_x[], const PetscInt aOff[], const PetscInt aOff_x[], const PetscScalar a[], const PetscScalar a_t[], const PetscScalar a_x[], PetscReal t, const PetscReal x[], const PetscReal n[], PetscInt numConstants, const PetscScalar constants[], PetscScalar f0[]) 164 { 165 PetscInt d; 166 for (d = 0, f0[0] = 0.0; d < dim; ++d) f0[0] += -n[d] * 2.0 * x[d]; 167 } 168 169 /* gradU[comp*dim+d] = {u_x, u_y} or {u_x, u_y, u_z} */ 170 static void f1_u(PetscInt dim, PetscInt Nf, PetscInt NfAux, const PetscInt uOff[], const PetscInt uOff_x[], const PetscScalar u[], const PetscScalar u_t[], const PetscScalar u_x[], const PetscInt aOff[], const PetscInt aOff_x[], const PetscScalar a[], const PetscScalar a_t[], const PetscScalar a_x[], PetscReal t, const PetscReal x[], PetscInt numConstants, const PetscScalar constants[], PetscScalar f1[]) 171 { 172 PetscInt d; 173 for (d = 0; d < dim; ++d) f1[d] = u_x[d]; 174 } 175 176 /* < \nabla v, \nabla u + {\nabla u}^T > 177 This just gives \nabla u, give the perdiagonal for the transpose */ 178 static void g3_uu(PetscInt dim, PetscInt Nf, PetscInt NfAux, const PetscInt uOff[], const PetscInt uOff_x[], const PetscScalar u[], const PetscScalar u_t[], const PetscScalar u_x[], const PetscInt aOff[], const PetscInt aOff_x[], const PetscScalar a[], const PetscScalar a_t[], const PetscScalar a_x[], PetscReal t, PetscReal u_tShift, const PetscReal x[], PetscInt numConstants, const PetscScalar constants[], PetscScalar g3[]) 179 { 180 PetscInt d; 181 for (d = 0; d < dim; ++d) g3[d * dim + d] = 1.0; 182 } 183 184 /* 185 In 2D for x periodicity and y Dirichlet conditions, we use exact solution: 186 187 u = sin(2 pi x) 188 f = -4 pi^2 sin(2 pi x) 189 190 so that 191 192 -\Delta u + f = 4 pi^2 sin(2 pi x) - 4 pi^2 sin(2 pi x) = 0 193 */ 194 static PetscErrorCode xtrig_u_2d(PetscInt dim, PetscReal time, const PetscReal x[], PetscInt Nc, PetscScalar *u, void *ctx) 195 { 196 *u = PetscSinReal(2.0 * PETSC_PI * x[0]); 197 return PETSC_SUCCESS; 198 } 199 200 static void f0_xtrig_u(PetscInt dim, PetscInt Nf, PetscInt NfAux, const PetscInt uOff[], const PetscInt uOff_x[], const PetscScalar u[], const PetscScalar u_t[], const PetscScalar u_x[], const PetscInt aOff[], const PetscInt aOff_x[], const PetscScalar a[], const PetscScalar a_t[], const PetscScalar a_x[], PetscReal t, const PetscReal x[], PetscInt numConstants, const PetscScalar constants[], PetscScalar f0[]) 201 { 202 f0[0] = -4.0 * PetscSqr(PETSC_PI) * PetscSinReal(2.0 * PETSC_PI * x[0]); 203 } 204 205 /* 206 In 2D for x-y periodicity, we use exact solution: 207 208 u = sin(2 pi x) sin(2 pi y) 209 f = -8 pi^2 sin(2 pi x) 210 211 so that 212 213 -\Delta u + f = 4 pi^2 sin(2 pi x) sin(2 pi y) + 4 pi^2 sin(2 pi x) sin(2 pi y) - 8 pi^2 sin(2 pi x) = 0 214 */ 215 static PetscErrorCode xytrig_u_2d(PetscInt dim, PetscReal time, const PetscReal x[], PetscInt Nc, PetscScalar *u, void *ctx) 216 { 217 *u = PetscSinReal(2.0 * PETSC_PI * x[0]) * PetscSinReal(2.0 * PETSC_PI * x[1]); 218 return PETSC_SUCCESS; 219 } 220 221 static void f0_xytrig_u(PetscInt dim, PetscInt Nf, PetscInt NfAux, const PetscInt uOff[], const PetscInt uOff_x[], const PetscScalar u[], const PetscScalar u_t[], const PetscScalar u_x[], const PetscInt aOff[], const PetscInt aOff_x[], const PetscScalar a[], const PetscScalar a_t[], const PetscScalar a_x[], PetscReal t, const PetscReal x[], PetscInt numConstants, const PetscScalar constants[], PetscScalar f0[]) 222 { 223 f0[0] = -8.0 * PetscSqr(PETSC_PI) * PetscSinReal(2.0 * PETSC_PI * x[0]); 224 } 225 226 /* 227 In 2D for Dirichlet conditions with a variable coefficient, we use exact solution: 228 229 u = x^2 + y^2 230 f = 6 (x + y) 231 nu = (x + y) 232 233 so that 234 235 -\div \nu \grad u + f = -6 (x + y) + 6 (x + y) = 0 236 */ 237 static PetscErrorCode nu_2d(PetscInt dim, PetscReal time, const PetscReal x[], PetscInt Nc, PetscScalar *u, void *ctx) 238 { 239 *u = x[0] + x[1]; 240 return PETSC_SUCCESS; 241 } 242 243 static PetscErrorCode checkerboardCoeff(PetscInt dim, PetscReal time, const PetscReal x[], PetscInt Nc, PetscScalar *u, void *ctx) 244 { 245 AppCtx *user = (AppCtx *)ctx; 246 PetscInt div = user->div; 247 PetscInt k = user->k; 248 PetscInt mask = 0, ind = 0, d; 249 250 PetscFunctionBeginUser; 251 for (d = 0; d < dim; ++d) mask = (mask + (PetscInt)(x[d] * div)) % 2; 252 if (user->kgrid) { 253 for (d = 0; d < dim; ++d) { 254 if (d > 0) ind *= dim; 255 ind += (PetscInt)(x[d] * div); 256 } 257 k = user->kgrid[ind]; 258 } 259 u[0] = mask ? 1.0 : PetscPowRealInt(10.0, -k); 260 PetscFunctionReturn(PETSC_SUCCESS); 261 } 262 263 void f0_analytic_u(PetscInt dim, PetscInt Nf, PetscInt NfAux, const PetscInt uOff[], const PetscInt uOff_x[], const PetscScalar u[], const PetscScalar u_t[], const PetscScalar u_x[], const PetscInt aOff[], const PetscInt aOff_x[], const PetscScalar a[], const PetscScalar a_t[], const PetscScalar a_x[], PetscReal t, const PetscReal x[], PetscInt numConstants, const PetscScalar constants[], PetscScalar f0[]) 264 { 265 f0[0] = 6.0 * (x[0] + x[1]); 266 } 267 268 /* gradU[comp*dim+d] = {u_x, u_y} or {u_x, u_y, u_z} */ 269 void f1_analytic_u(PetscInt dim, PetscInt Nf, PetscInt NfAux, const PetscInt uOff[], const PetscInt uOff_x[], const PetscScalar u[], const PetscScalar u_t[], const PetscScalar u_x[], const PetscInt aOff[], const PetscInt aOff_x[], const PetscScalar a[], const PetscScalar a_t[], const PetscScalar a_x[], PetscReal t, const PetscReal x[], PetscInt numConstants, const PetscScalar constants[], PetscScalar f1[]) 270 { 271 PetscInt d; 272 for (d = 0; d < dim; ++d) f1[d] = (x[0] + x[1]) * u_x[d]; 273 } 274 275 void f1_field_u(PetscInt dim, PetscInt Nf, PetscInt NfAux, const PetscInt uOff[], const PetscInt uOff_x[], const PetscScalar u[], const PetscScalar u_t[], const PetscScalar u_x[], const PetscInt aOff[], const PetscInt aOff_x[], const PetscScalar a[], const PetscScalar a_t[], const PetscScalar a_x[], PetscReal t, const PetscReal x[], PetscInt numConstants, const PetscScalar constants[], PetscScalar f1[]) 276 { 277 PetscInt d; 278 for (d = 0; d < dim; ++d) f1[d] = a[0] * u_x[d]; 279 } 280 281 /* < \nabla v, \nabla u + {\nabla u}^T > 282 This just gives \nabla u, give the perdiagonal for the transpose */ 283 void g3_analytic_uu(PetscInt dim, PetscInt Nf, PetscInt NfAux, const PetscInt uOff[], const PetscInt uOff_x[], const PetscScalar u[], const PetscScalar u_t[], const PetscScalar u_x[], const PetscInt aOff[], const PetscInt aOff_x[], const PetscScalar a[], const PetscScalar a_t[], const PetscScalar a_x[], PetscReal t, PetscReal u_tShift, const PetscReal x[], PetscInt numConstants, const PetscScalar constants[], PetscScalar g3[]) 284 { 285 PetscInt d; 286 for (d = 0; d < dim; ++d) g3[d * dim + d] = x[0] + x[1]; 287 } 288 289 void g3_field_uu(PetscInt dim, PetscInt Nf, PetscInt NfAux, const PetscInt uOff[], const PetscInt uOff_x[], const PetscScalar u[], const PetscScalar u_t[], const PetscScalar u_x[], const PetscInt aOff[], const PetscInt aOff_x[], const PetscScalar a[], const PetscScalar a_t[], const PetscScalar a_x[], PetscReal t, PetscReal u_tShift, const PetscReal x[], PetscInt numConstants, const PetscScalar constants[], PetscScalar g3[]) 290 { 291 PetscInt d; 292 for (d = 0; d < dim; ++d) g3[d * dim + d] = a[0]; 293 } 294 295 /* 296 In 2D for Dirichlet conditions with a nonlinear coefficient (p-Laplacian with p = 4), we use exact solution: 297 298 u = x^2 + y^2 299 f = 16 (x^2 + y^2) 300 nu = 1/2 |grad u|^2 301 302 so that 303 304 -\div \nu \grad u + f = -16 (x^2 + y^2) + 16 (x^2 + y^2) = 0 305 */ 306 void f0_analytic_nonlinear_u(PetscInt dim, PetscInt Nf, PetscInt NfAux, const PetscInt uOff[], const PetscInt uOff_x[], const PetscScalar u[], const PetscScalar u_t[], const PetscScalar u_x[], const PetscInt aOff[], const PetscInt aOff_x[], const PetscScalar a[], const PetscScalar a_t[], const PetscScalar a_x[], PetscReal t, const PetscReal x[], PetscInt numConstants, const PetscScalar constants[], PetscScalar f0[]) 307 { 308 f0[0] = 16.0 * (x[0] * x[0] + x[1] * x[1]); 309 } 310 311 /* gradU[comp*dim+d] = {u_x, u_y} or {u_x, u_y, u_z} */ 312 void f1_analytic_nonlinear_u(PetscInt dim, PetscInt Nf, PetscInt NfAux, const PetscInt uOff[], const PetscInt uOff_x[], const PetscScalar u[], const PetscScalar u_t[], const PetscScalar u_x[], const PetscInt aOff[], const PetscInt aOff_x[], const PetscScalar a[], const PetscScalar a_t[], const PetscScalar a_x[], PetscReal t, const PetscReal x[], PetscInt numConstants, const PetscScalar constants[], PetscScalar f1[]) 313 { 314 PetscScalar nu = 0.0; 315 PetscInt d; 316 for (d = 0; d < dim; ++d) nu += u_x[d] * u_x[d]; 317 for (d = 0; d < dim; ++d) f1[d] = 0.5 * nu * u_x[d]; 318 } 319 320 /* 321 grad (u + eps w) - grad u = eps grad w 322 323 1/2 |grad (u + eps w)|^2 grad (u + eps w) - 1/2 |grad u|^2 grad u 324 = 1/2 (|grad u|^2 + 2 eps <grad u,grad w>) (grad u + eps grad w) - 1/2 |grad u|^2 grad u 325 = 1/2 (eps |grad u|^2 grad w + 2 eps <grad u,grad w> grad u) 326 = eps (1/2 |grad u|^2 grad w + grad u <grad u,grad w>) 327 */ 328 void g3_analytic_nonlinear_uu(PetscInt dim, PetscInt Nf, PetscInt NfAux, const PetscInt uOff[], const PetscInt uOff_x[], const PetscScalar u[], const PetscScalar u_t[], const PetscScalar u_x[], const PetscInt aOff[], const PetscInt aOff_x[], const PetscScalar a[], const PetscScalar a_t[], const PetscScalar a_x[], PetscReal t, PetscReal u_tShift, const PetscReal x[], PetscInt numConstants, const PetscScalar constants[], PetscScalar g3[]) 329 { 330 PetscScalar nu = 0.0; 331 PetscInt d, e; 332 for (d = 0; d < dim; ++d) nu += u_x[d] * u_x[d]; 333 for (d = 0; d < dim; ++d) { 334 g3[d * dim + d] = 0.5 * nu; 335 for (e = 0; e < dim; ++e) g3[d * dim + e] += u_x[d] * u_x[e]; 336 } 337 } 338 339 /* 340 In 3D for Dirichlet conditions we use exact solution: 341 342 u = 2/3 (x^2 + y^2 + z^2) 343 f = 4 344 345 so that 346 347 -\Delta u + f = -2/3 * 6 + 4 = 0 348 349 For Neumann conditions, we have 350 351 -\nabla u \cdot -\hat z |_{z=0} = (2z)|_{z=0} = 0 (bottom) 352 -\nabla u \cdot \hat z |_{z=1} = -(2z)|_{z=1} = -2 (top) 353 -\nabla u \cdot -\hat y |_{y=0} = (2y)|_{y=0} = 0 (front) 354 -\nabla u \cdot \hat y |_{y=1} = -(2y)|_{y=1} = -2 (back) 355 -\nabla u \cdot -\hat x |_{x=0} = (2x)|_{x=0} = 0 (left) 356 -\nabla u \cdot \hat x |_{x=1} = -(2x)|_{x=1} = -2 (right) 357 358 Which we can express as 359 360 \nabla u \cdot \hat n|_\Gamma = {2 x, 2 y, 2z} \cdot \hat n = 2 (x + y + z) 361 */ 362 static PetscErrorCode quadratic_u_3d(PetscInt dim, PetscReal time, const PetscReal x[], PetscInt Nc, PetscScalar *u, void *ctx) 363 { 364 *u = 2.0 * (x[0] * x[0] + x[1] * x[1] + x[2] * x[2]) / 3.0; 365 return PETSC_SUCCESS; 366 } 367 368 static PetscErrorCode ball_u_3d(PetscInt dim, PetscReal time, const PetscReal x[], PetscInt Nc, PetscScalar *u, void *ctx) 369 { 370 const PetscReal alpha = 500.; 371 const PetscReal radius2 = PetscSqr(0.15); 372 const PetscReal r2 = PetscSqr(x[0] - 0.5) + PetscSqr(x[1] - 0.5) + PetscSqr(x[2] - 0.5); 373 const PetscReal xi = alpha * (radius2 - r2); 374 375 *u = PetscTanhScalar(xi) + 1.0; 376 return PETSC_SUCCESS; 377 } 378 379 static void quadratic_u_field_3d(PetscInt dim, PetscInt Nf, PetscInt NfAux, const PetscInt uOff[], const PetscInt uOff_x[], const PetscScalar u[], const PetscScalar u_t[], const PetscScalar u_x[], const PetscInt aOff[], const PetscInt aOff_x[], const PetscScalar a[], const PetscScalar a_t[], const PetscScalar a_x[], PetscReal t, const PetscReal x[], PetscInt numConstants, const PetscScalar constants[], PetscScalar uexact[]) 380 { 381 uexact[0] = a[0]; 382 } 383 384 static PetscErrorCode cross_u_3d(PetscInt dim, PetscReal time, const PetscReal x[], PetscInt Nc, PetscScalar *u, void *ctx) 385 { 386 const PetscReal alpha = 50 * 4; 387 const PetscReal xyz = (x[0] - 0.5) * (x[1] - 0.5) * (x[2] - 0.5); 388 389 *u = PetscSinReal(alpha * xyz) * (alpha * PetscAbsReal(xyz) < 2 * PETSC_PI ? (alpha * PetscAbsReal(xyz) > -2 * PETSC_PI ? 1.0 : 0.01) : 0.01); 390 return PETSC_SUCCESS; 391 } 392 393 static void f0_cross_u_3d(PetscInt dim, PetscInt Nf, PetscInt NfAux, const PetscInt uOff[], const PetscInt uOff_x[], const PetscScalar u[], const PetscScalar u_t[], const PetscScalar u_x[], const PetscInt aOff[], const PetscInt aOff_x[], const PetscScalar a[], const PetscScalar a_t[], const PetscScalar a_x[], PetscReal t, const PetscReal x[], PetscInt numConstants, const PetscScalar constants[], PetscScalar f0[]) 394 { 395 const PetscReal alpha = 50 * 4; 396 const PetscReal xyz = (x[0] - 0.5) * (x[1] - 0.5) * (x[2] - 0.5); 397 398 f0[0] = PetscSinReal(alpha * xyz) * (alpha * PetscAbsReal(xyz) < 2 * PETSC_PI ? (alpha * PetscAbsReal(xyz) > -2 * PETSC_PI ? 1.0 : 0.01) : 0.01); 399 } 400 401 static void bd_integral_2d(PetscInt dim, PetscInt Nf, PetscInt NfAux, const PetscInt uOff[], const PetscInt uOff_x[], const PetscScalar u[], const PetscScalar u_t[], const PetscScalar u_x[], const PetscInt aOff[], const PetscInt aOff_x[], const PetscScalar a[], const PetscScalar a_t[], const PetscScalar a_x[], PetscReal t, const PetscReal x[], const PetscReal n[], PetscInt numConstants, const PetscScalar constants[], PetscScalar *uint) 402 { 403 uint[0] = u[0]; 404 } 405 406 static PetscErrorCode ProcessOptions(MPI_Comm comm, AppCtx *options) 407 { 408 const char *bcTypes[3] = {"neumann", "dirichlet", "none"}; 409 const char *runTypes[4] = {"full", "exact", "test", "perf"}; 410 const char *coeffTypes[8] = {"none", "analytic", "field", "nonlinear", "ball", "cross", "checkerboard_0", "checkerboard_1"}; 411 PetscInt bc, run, coeff; 412 413 PetscFunctionBeginUser; 414 options->runType = RUN_FULL; 415 options->bcType = DIRICHLET; 416 options->variableCoefficient = COEFF_NONE; 417 options->fieldBC = PETSC_FALSE; 418 options->jacobianMF = PETSC_FALSE; 419 options->showInitial = PETSC_FALSE; 420 options->showSolution = PETSC_FALSE; 421 options->restart = PETSC_FALSE; 422 options->quiet = PETSC_FALSE; 423 options->nonzInit = PETSC_FALSE; 424 options->bdIntegral = PETSC_FALSE; 425 options->checkksp = PETSC_FALSE; 426 options->div = 4; 427 options->k = 1; 428 options->kgrid = NULL; 429 options->rand = PETSC_FALSE; 430 431 PetscOptionsBegin(comm, "", "Poisson Problem Options", "DMPLEX"); 432 run = options->runType; 433 PetscCall(PetscOptionsEList("-run_type", "The run type", "ex12.c", runTypes, 4, runTypes[options->runType], &run, NULL)); 434 options->runType = (RunType)run; 435 bc = options->bcType; 436 PetscCall(PetscOptionsEList("-bc_type", "Type of boundary condition", "ex12.c", bcTypes, 3, bcTypes[options->bcType], &bc, NULL)); 437 options->bcType = (BCType)bc; 438 coeff = options->variableCoefficient; 439 PetscCall(PetscOptionsEList("-variable_coefficient", "Type of variable coefficient", "ex12.c", coeffTypes, 8, coeffTypes[options->variableCoefficient], &coeff, NULL)); 440 options->variableCoefficient = (CoeffType)coeff; 441 442 PetscCall(PetscOptionsBool("-field_bc", "Use a field representation for the BC", "ex12.c", options->fieldBC, &options->fieldBC, NULL)); 443 PetscCall(PetscOptionsBool("-jacobian_mf", "Calculate the action of the Jacobian on the fly", "ex12.c", options->jacobianMF, &options->jacobianMF, NULL)); 444 PetscCall(PetscOptionsBool("-show_initial", "Output the initial guess for verification", "ex12.c", options->showInitial, &options->showInitial, NULL)); 445 PetscCall(PetscOptionsBool("-show_solution", "Output the solution for verification", "ex12.c", options->showSolution, &options->showSolution, NULL)); 446 PetscCall(PetscOptionsBool("-restart", "Read in the mesh and solution from a file", "ex12.c", options->restart, &options->restart, NULL)); 447 PetscCall(PetscOptionsBool("-quiet", "Don't print any vecs", "ex12.c", options->quiet, &options->quiet, NULL)); 448 PetscCall(PetscOptionsBool("-nonzero_initial_guess", "nonzero initial guess", "ex12.c", options->nonzInit, &options->nonzInit, NULL)); 449 PetscCall(PetscOptionsBool("-bd_integral", "Compute the integral of the solution on the boundary", "ex12.c", options->bdIntegral, &options->bdIntegral, NULL)); 450 if (options->runType == RUN_TEST) PetscCall(PetscOptionsBool("-run_test_check_ksp", "Check solution of KSP", "ex12.c", options->checkksp, &options->checkksp, NULL)); 451 PetscCall(PetscOptionsInt("-div", "The number of division for the checkerboard coefficient", "ex12.c", options->div, &options->div, NULL)); 452 PetscCall(PetscOptionsInt("-k", "The exponent for the checkerboard coefficient", "ex12.c", options->k, &options->k, NULL)); 453 PetscCall(PetscOptionsBool("-k_random", "Assign random k values to checkerboard", "ex12.c", options->rand, &options->rand, NULL)); 454 PetscOptionsEnd(); 455 PetscFunctionReturn(PETSC_SUCCESS); 456 } 457 458 static PetscErrorCode CreateBCLabel(DM dm, const char name[]) 459 { 460 DM plex; 461 DMLabel label; 462 463 PetscFunctionBeginUser; 464 PetscCall(DMCreateLabel(dm, name)); 465 PetscCall(DMGetLabel(dm, name, &label)); 466 PetscCall(DMConvert(dm, DMPLEX, &plex)); 467 PetscCall(DMPlexMarkBoundaryFaces(plex, 1, label)); 468 PetscCall(DMDestroy(&plex)); 469 PetscFunctionReturn(PETSC_SUCCESS); 470 } 471 472 static PetscErrorCode CreateMesh(MPI_Comm comm, AppCtx *user, DM *dm) 473 { 474 PetscFunctionBeginUser; 475 PetscCall(DMCreate(comm, dm)); 476 PetscCall(DMSetType(*dm, DMPLEX)); 477 PetscCall(DMSetFromOptions(*dm)); 478 { 479 char convType[256]; 480 PetscBool flg; 481 482 PetscOptionsBegin(comm, "", "Mesh conversion options", "DMPLEX"); 483 PetscCall(PetscOptionsFList("-dm_plex_convert_type", "Convert DMPlex to another format", "ex12", DMList, DMPLEX, convType, 256, &flg)); 484 PetscOptionsEnd(); 485 if (flg) { 486 DM dmConv; 487 488 PetscCall(DMConvert(*dm, convType, &dmConv)); 489 if (dmConv) { 490 PetscCall(DMDestroy(dm)); 491 *dm = dmConv; 492 } 493 PetscCall(DMSetFromOptions(*dm)); 494 PetscCall(DMSetUp(*dm)); 495 } 496 } 497 PetscCall(DMViewFromOptions(*dm, NULL, "-dm_view")); 498 if (user->rand) { 499 PetscRandom r; 500 PetscReal val; 501 PetscInt dim, N, i; 502 503 PetscCall(DMGetDimension(*dm, &dim)); 504 N = PetscPowInt(user->div, dim); 505 PetscCall(PetscMalloc1(N, &user->kgrid)); 506 PetscCall(PetscRandomCreate(PETSC_COMM_SELF, &r)); 507 PetscCall(PetscRandomSetFromOptions(r)); 508 PetscCall(PetscRandomSetInterval(r, 0.0, user->k)); 509 PetscCall(PetscRandomSetSeed(r, 1973)); 510 PetscCall(PetscRandomSeed(r)); 511 for (i = 0; i < N; ++i) { 512 PetscCall(PetscRandomGetValueReal(r, &val)); 513 user->kgrid[i] = 1 + (PetscInt)val; 514 } 515 PetscCall(PetscRandomDestroy(&r)); 516 } 517 PetscFunctionReturn(PETSC_SUCCESS); 518 } 519 520 static PetscErrorCode SetupProblem(DM dm, AppCtx *user) 521 { 522 PetscDS ds; 523 DMLabel label; 524 PetscWeakForm wf; 525 const PetscReal *L; 526 const PetscInt id = 1; 527 PetscInt bd, dim; 528 529 PetscFunctionBeginUser; 530 PetscCall(DMGetDS(dm, &ds)); 531 PetscCall(DMGetDimension(dm, &dim)); 532 PetscCall(DMGetPeriodicity(dm, NULL, NULL, &L)); 533 switch (user->variableCoefficient) { 534 case COEFF_NONE: 535 if (L && L[0]) { 536 if (L && L[1]) { 537 PetscCall(PetscDSSetResidual(ds, 0, f0_xytrig_u, f1_u)); 538 PetscCall(PetscDSSetJacobian(ds, 0, 0, NULL, NULL, NULL, g3_uu)); 539 } else { 540 PetscCall(PetscDSSetResidual(ds, 0, f0_xtrig_u, f1_u)); 541 PetscCall(PetscDSSetJacobian(ds, 0, 0, NULL, NULL, NULL, g3_uu)); 542 } 543 } else { 544 PetscCall(PetscDSSetResidual(ds, 0, f0_u, f1_u)); 545 PetscCall(PetscDSSetJacobian(ds, 0, 0, NULL, NULL, NULL, g3_uu)); 546 } 547 break; 548 case COEFF_ANALYTIC: 549 PetscCall(PetscDSSetResidual(ds, 0, f0_analytic_u, f1_analytic_u)); 550 PetscCall(PetscDSSetJacobian(ds, 0, 0, NULL, NULL, NULL, g3_analytic_uu)); 551 break; 552 case COEFF_FIELD: 553 PetscCall(PetscDSSetResidual(ds, 0, f0_analytic_u, f1_field_u)); 554 PetscCall(PetscDSSetJacobian(ds, 0, 0, NULL, NULL, NULL, g3_field_uu)); 555 break; 556 case COEFF_NONLINEAR: 557 PetscCall(PetscDSSetResidual(ds, 0, f0_analytic_nonlinear_u, f1_analytic_nonlinear_u)); 558 PetscCall(PetscDSSetJacobian(ds, 0, 0, NULL, NULL, NULL, g3_analytic_nonlinear_uu)); 559 break; 560 case COEFF_BALL: 561 PetscCall(PetscDSSetResidual(ds, 0, f0_ball_u, f1_u)); 562 PetscCall(PetscDSSetJacobian(ds, 0, 0, NULL, NULL, NULL, g3_uu)); 563 break; 564 case COEFF_CROSS: 565 switch (dim) { 566 case 2: 567 PetscCall(PetscDSSetResidual(ds, 0, f0_cross_u_2d, f1_u)); 568 break; 569 case 3: 570 PetscCall(PetscDSSetResidual(ds, 0, f0_cross_u_3d, f1_u)); 571 break; 572 default: 573 SETERRQ(PETSC_COMM_WORLD, PETSC_ERR_ARG_OUTOFRANGE, "Invalid dimension %" PetscInt_FMT, dim); 574 } 575 PetscCall(PetscDSSetJacobian(ds, 0, 0, NULL, NULL, NULL, g3_uu)); 576 break; 577 case COEFF_CHECKERBOARD_0: 578 PetscCall(PetscDSSetResidual(ds, 0, f0_checkerboard_0_u, f1_field_u)); 579 PetscCall(PetscDSSetJacobian(ds, 0, 0, NULL, NULL, NULL, g3_field_uu)); 580 break; 581 default: 582 SETERRQ(PETSC_COMM_SELF, PETSC_ERR_ARG_WRONG, "Invalid variable coefficient type %d", user->variableCoefficient); 583 } 584 switch (dim) { 585 case 2: 586 switch (user->variableCoefficient) { 587 case COEFF_BALL: 588 user->exactFuncs[0] = ball_u_2d; 589 break; 590 case COEFF_CROSS: 591 user->exactFuncs[0] = cross_u_2d; 592 break; 593 case COEFF_CHECKERBOARD_0: 594 user->exactFuncs[0] = zero; 595 break; 596 default: 597 if (L && L[0]) { 598 if (L && L[1]) { 599 user->exactFuncs[0] = xytrig_u_2d; 600 } else { 601 user->exactFuncs[0] = xtrig_u_2d; 602 } 603 } else { 604 user->exactFuncs[0] = quadratic_u_2d; 605 user->exactFields[0] = quadratic_u_field_2d; 606 } 607 } 608 if (user->bcType == NEUMANN) { 609 PetscCall(DMGetLabel(dm, "boundary", &label)); 610 PetscCall(DMAddBoundary(dm, DM_BC_NATURAL, "wall", label, 1, &id, 0, 0, NULL, NULL, NULL, user, &bd)); 611 PetscCall(PetscDSGetBoundary(ds, bd, &wf, NULL, NULL, NULL, NULL, NULL, NULL, NULL, NULL, NULL, NULL, NULL)); 612 PetscCall(PetscWeakFormSetIndexBdResidual(wf, label, id, 0, 0, 0, f0_bd_u, 0, NULL)); 613 } 614 break; 615 case 3: 616 switch (user->variableCoefficient) { 617 case COEFF_BALL: 618 user->exactFuncs[0] = ball_u_3d; 619 break; 620 case COEFF_CROSS: 621 user->exactFuncs[0] = cross_u_3d; 622 break; 623 default: 624 user->exactFuncs[0] = quadratic_u_3d; 625 user->exactFields[0] = quadratic_u_field_3d; 626 } 627 if (user->bcType == NEUMANN) { 628 PetscCall(DMGetLabel(dm, "boundary", &label)); 629 PetscCall(DMAddBoundary(dm, DM_BC_NATURAL, "wall", label, 1, &id, 0, 0, NULL, NULL, NULL, user, &bd)); 630 PetscCall(PetscDSGetBoundary(ds, bd, &wf, NULL, NULL, NULL, NULL, NULL, NULL, NULL, NULL, NULL, NULL, NULL)); 631 PetscCall(PetscWeakFormSetIndexBdResidual(wf, label, id, 0, 0, 0, f0_bd_u, 0, NULL)); 632 } 633 break; 634 default: 635 SETERRQ(PETSC_COMM_WORLD, PETSC_ERR_ARG_OUTOFRANGE, "Invalid dimension %" PetscInt_FMT, dim); 636 } 637 /* Setup constants */ 638 switch (user->variableCoefficient) { 639 case COEFF_CHECKERBOARD_0: { 640 PetscScalar constants[2]; 641 642 constants[0] = user->div; 643 constants[1] = user->k; 644 PetscCall(PetscDSSetConstants(ds, 2, constants)); 645 } break; 646 default: 647 break; 648 } 649 PetscCall(PetscDSSetExactSolution(ds, 0, user->exactFuncs[0], user)); 650 /* Setup Boundary Conditions */ 651 if (user->bcType == DIRICHLET) { 652 PetscCall(DMGetLabel(dm, "marker", &label)); 653 if (!label) { 654 /* Right now, p4est cannot create labels immediately */ 655 PetscCall(PetscDSAddBoundaryByName(ds, user->fieldBC ? DM_BC_ESSENTIAL_FIELD : DM_BC_ESSENTIAL, "wall", "marker", 1, &id, 0, 0, NULL, user->fieldBC ? (void (*)(void))user->exactFields[0] : (void (*)(void))user->exactFuncs[0], NULL, user, NULL)); 656 } else { 657 PetscCall(DMAddBoundary(dm, user->fieldBC ? DM_BC_ESSENTIAL_FIELD : DM_BC_ESSENTIAL, "wall", label, 1, &id, 0, 0, NULL, user->fieldBC ? (void (*)(void))user->exactFields[0] : (void (*)(void))user->exactFuncs[0], NULL, user, NULL)); 658 } 659 } 660 PetscFunctionReturn(PETSC_SUCCESS); 661 } 662 663 static PetscErrorCode SetupMaterial(DM dm, DM dmAux, AppCtx *user) 664 { 665 PetscErrorCode (*matFuncs[1])(PetscInt dim, PetscReal time, const PetscReal x[], PetscInt Nc, PetscScalar u[], void *ctx) = {nu_2d}; 666 void *ctx[1]; 667 Vec nu; 668 669 PetscFunctionBegin; 670 ctx[0] = user; 671 if (user->variableCoefficient == COEFF_CHECKERBOARD_0) matFuncs[0] = checkerboardCoeff; 672 PetscCall(DMCreateLocalVector(dmAux, &nu)); 673 PetscCall(PetscObjectSetName((PetscObject)nu, "Coefficient")); 674 PetscCall(DMProjectFunctionLocal(dmAux, 0.0, matFuncs, ctx, INSERT_ALL_VALUES, nu)); 675 PetscCall(DMSetAuxiliaryVec(dm, NULL, 0, 0, nu)); 676 PetscCall(VecDestroy(&nu)); 677 PetscFunctionReturn(PETSC_SUCCESS); 678 } 679 680 static PetscErrorCode SetupBC(DM dm, DM dmAux, AppCtx *user) 681 { 682 PetscErrorCode (*bcFuncs[1])(PetscInt dim, PetscReal time, const PetscReal x[], PetscInt Nc, PetscScalar u[], void *ctx); 683 Vec uexact; 684 PetscInt dim; 685 686 PetscFunctionBegin; 687 PetscCall(DMGetDimension(dm, &dim)); 688 if (dim == 2) bcFuncs[0] = quadratic_u_2d; 689 else bcFuncs[0] = quadratic_u_3d; 690 PetscCall(DMCreateLocalVector(dmAux, &uexact)); 691 PetscCall(DMProjectFunctionLocal(dmAux, 0.0, bcFuncs, NULL, INSERT_ALL_VALUES, uexact)); 692 PetscCall(DMSetAuxiliaryVec(dm, NULL, 0, 0, uexact)); 693 PetscCall(VecDestroy(&uexact)); 694 PetscFunctionReturn(PETSC_SUCCESS); 695 } 696 697 static PetscErrorCode SetupAuxDM(DM dm, PetscFE feAux, AppCtx *user) 698 { 699 DM dmAux, coordDM; 700 701 PetscFunctionBegin; 702 /* MUST call DMGetCoordinateDM() in order to get p4est setup if present */ 703 PetscCall(DMGetCoordinateDM(dm, &coordDM)); 704 if (!feAux) PetscFunctionReturn(PETSC_SUCCESS); 705 PetscCall(DMClone(dm, &dmAux)); 706 PetscCall(DMSetCoordinateDM(dmAux, coordDM)); 707 PetscCall(DMSetField(dmAux, 0, NULL, (PetscObject)feAux)); 708 PetscCall(DMCreateDS(dmAux)); 709 if (user->fieldBC) PetscCall(SetupBC(dm, dmAux, user)); 710 else PetscCall(SetupMaterial(dm, dmAux, user)); 711 PetscCall(DMDestroy(&dmAux)); 712 PetscFunctionReturn(PETSC_SUCCESS); 713 } 714 715 static PetscErrorCode SetupDiscretization(DM dm, AppCtx *user) 716 { 717 DM plex, cdm = dm; 718 PetscFE fe, feAux = NULL; 719 PetscBool simplex; 720 PetscInt dim; 721 722 PetscFunctionBeginUser; 723 PetscCall(DMGetDimension(dm, &dim)); 724 PetscCall(DMConvert(dm, DMPLEX, &plex)); 725 PetscCall(DMPlexIsSimplex(plex, &simplex)); 726 PetscCall(DMDestroy(&plex)); 727 PetscCall(PetscFECreateDefault(PETSC_COMM_SELF, dim, 1, simplex, NULL, -1, &fe)); 728 PetscCall(PetscObjectSetName((PetscObject)fe, "potential")); 729 if (user->variableCoefficient == COEFF_FIELD || user->variableCoefficient == COEFF_CHECKERBOARD_0) { 730 PetscCall(PetscFECreateDefault(PETSC_COMM_SELF, dim, 1, simplex, "mat_", -1, &feAux)); 731 PetscCall(PetscObjectSetName((PetscObject)feAux, "coefficient")); 732 PetscCall(PetscFECopyQuadrature(fe, feAux)); 733 } else if (user->fieldBC) { 734 PetscCall(PetscFECreateDefault(PETSC_COMM_SELF, dim, 1, simplex, "bc_", -1, &feAux)); 735 PetscCall(PetscFECopyQuadrature(fe, feAux)); 736 } 737 /* Set discretization and boundary conditions for each mesh */ 738 PetscCall(DMSetField(dm, 0, NULL, (PetscObject)fe)); 739 PetscCall(DMCreateDS(dm)); 740 PetscCall(SetupProblem(dm, user)); 741 while (cdm) { 742 PetscCall(SetupAuxDM(cdm, feAux, user)); 743 if (user->bcType == DIRICHLET) { 744 PetscBool hasLabel; 745 746 PetscCall(DMHasLabel(cdm, "marker", &hasLabel)); 747 if (!hasLabel) PetscCall(CreateBCLabel(cdm, "marker")); 748 } 749 PetscCall(DMCopyDisc(dm, cdm)); 750 PetscCall(DMGetCoarseDM(cdm, &cdm)); 751 } 752 PetscCall(PetscFEDestroy(&fe)); 753 PetscCall(PetscFEDestroy(&feAux)); 754 PetscFunctionReturn(PETSC_SUCCESS); 755 } 756 757 int main(int argc, char **argv) 758 { 759 DM dm; /* Problem specification */ 760 SNES snes; /* nonlinear solver */ 761 Vec u; /* solution vector */ 762 Mat A, J; /* Jacobian matrix */ 763 MatNullSpace nullSpace; /* May be necessary for Neumann conditions */ 764 AppCtx user; /* user-defined work context */ 765 JacActionCtx userJ; /* context for Jacobian MF action */ 766 PetscReal error = 0.0; /* L_2 error in the solution */ 767 768 PetscFunctionBeginUser; 769 PetscCall(PetscInitialize(&argc, &argv, NULL, help)); 770 PetscCall(ProcessOptions(PETSC_COMM_WORLD, &user)); 771 PetscCall(SNESCreate(PETSC_COMM_WORLD, &snes)); 772 PetscCall(CreateMesh(PETSC_COMM_WORLD, &user, &dm)); 773 PetscCall(SNESSetDM(snes, dm)); 774 PetscCall(DMSetApplicationContext(dm, &user)); 775 776 PetscCall(PetscMalloc2(1, &user.exactFuncs, 1, &user.exactFields)); 777 PetscCall(SetupDiscretization(dm, &user)); 778 779 PetscCall(DMCreateGlobalVector(dm, &u)); 780 PetscCall(PetscObjectSetName((PetscObject)u, "potential")); 781 782 PetscCall(DMCreateMatrix(dm, &J)); 783 if (user.jacobianMF) { 784 PetscInt M, m, N, n; 785 786 PetscCall(MatGetSize(J, &M, &N)); 787 PetscCall(MatGetLocalSize(J, &m, &n)); 788 PetscCall(MatCreate(PETSC_COMM_WORLD, &A)); 789 PetscCall(MatSetSizes(A, m, n, M, N)); 790 PetscCall(MatSetType(A, MATSHELL)); 791 PetscCall(MatSetUp(A)); 792 #if 0 793 PetscCall(MatShellSetOperation(A, MATOP_MULT, (void (*)(void))FormJacobianAction)); 794 #endif 795 796 userJ.dm = dm; 797 userJ.J = J; 798 userJ.user = &user; 799 800 PetscCall(DMCreateLocalVector(dm, &userJ.u)); 801 if (user.fieldBC) PetscCall(DMProjectFieldLocal(dm, 0.0, userJ.u, user.exactFields, INSERT_BC_VALUES, userJ.u)); 802 else PetscCall(DMProjectFunctionLocal(dm, 0.0, user.exactFuncs, NULL, INSERT_BC_VALUES, userJ.u)); 803 PetscCall(MatShellSetContext(A, &userJ)); 804 } else { 805 A = J; 806 } 807 808 nullSpace = NULL; 809 if (user.bcType != DIRICHLET) { 810 PetscCall(MatNullSpaceCreate(PetscObjectComm((PetscObject)dm), PETSC_TRUE, 0, NULL, &nullSpace)); 811 PetscCall(MatSetNullSpace(A, nullSpace)); 812 } 813 814 PetscCall(DMPlexSetSNESLocalFEM(dm, PETSC_FALSE, &user)); 815 PetscCall(SNESSetJacobian(snes, A, J, NULL, NULL)); 816 817 PetscCall(SNESSetFromOptions(snes)); 818 819 if (user.fieldBC) PetscCall(DMProjectField(dm, 0.0, u, user.exactFields, INSERT_ALL_VALUES, u)); 820 else PetscCall(DMProjectFunction(dm, 0.0, user.exactFuncs, NULL, INSERT_ALL_VALUES, u)); 821 if (user.restart) { 822 #if defined(PETSC_HAVE_HDF5) 823 PetscViewer viewer; 824 char filename[PETSC_MAX_PATH_LEN]; 825 826 PetscCall(PetscOptionsGetString(NULL, NULL, "-dm_plex_filename", filename, sizeof(filename), NULL)); 827 PetscCall(PetscViewerCreate(PETSC_COMM_WORLD, &viewer)); 828 PetscCall(PetscViewerSetType(viewer, PETSCVIEWERHDF5)); 829 PetscCall(PetscViewerFileSetMode(viewer, FILE_MODE_READ)); 830 PetscCall(PetscViewerFileSetName(viewer, filename)); 831 PetscCall(PetscViewerHDF5PushGroup(viewer, "/fields")); 832 PetscCall(VecLoad(u, viewer)); 833 PetscCall(PetscViewerHDF5PopGroup(viewer)); 834 PetscCall(PetscViewerDestroy(&viewer)); 835 #endif 836 } 837 if (user.showInitial) { 838 Vec lv; 839 PetscCall(DMGetLocalVector(dm, &lv)); 840 PetscCall(DMGlobalToLocalBegin(dm, u, INSERT_VALUES, lv)); 841 PetscCall(DMGlobalToLocalEnd(dm, u, INSERT_VALUES, lv)); 842 PetscCall(DMPrintLocalVec(dm, "Local function", 1.0e-10, lv)); 843 PetscCall(DMRestoreLocalVector(dm, &lv)); 844 } 845 if (user.runType == RUN_FULL || user.runType == RUN_EXACT) { 846 PetscErrorCode (*initialGuess[1])(PetscInt dim, PetscReal time, const PetscReal x[], PetscInt Nc, PetscScalar u[], void *ctx) = {zero}; 847 848 if (user.nonzInit) initialGuess[0] = ecks; 849 if (user.runType == RUN_FULL) PetscCall(DMProjectFunction(dm, 0.0, initialGuess, NULL, INSERT_VALUES, u)); 850 PetscCall(VecViewFromOptions(u, NULL, "-guess_vec_view")); 851 PetscCall(SNESSolve(snes, NULL, u)); 852 PetscCall(SNESGetSolution(snes, &u)); 853 PetscCall(SNESGetDM(snes, &dm)); 854 855 if (user.showSolution) { 856 PetscCall(PetscPrintf(PETSC_COMM_WORLD, "Solution\n")); 857 PetscCall(VecFilter(u, 3.0e-9)); 858 PetscCall(VecView(u, PETSC_VIEWER_STDOUT_WORLD)); 859 } 860 } else if (user.runType == RUN_PERF) { 861 Vec r; 862 PetscReal res = 0.0; 863 864 PetscCall(SNESGetFunction(snes, &r, NULL, NULL)); 865 PetscCall(SNESComputeFunction(snes, u, r)); 866 PetscCall(PetscPrintf(PETSC_COMM_WORLD, "Initial Residual\n")); 867 PetscCall(VecFilter(r, 1.0e-10)); 868 PetscCall(VecNorm(r, NORM_2, &res)); 869 PetscCall(PetscPrintf(PETSC_COMM_WORLD, "L_2 Residual: %g\n", (double)res)); 870 } else { 871 Vec r; 872 PetscReal res = 0.0, tol = 1.0e-11; 873 874 /* Check discretization error */ 875 PetscCall(SNESGetFunction(snes, &r, NULL, NULL)); 876 PetscCall(PetscPrintf(PETSC_COMM_WORLD, "Initial guess\n")); 877 if (!user.quiet) PetscCall(VecView(u, PETSC_VIEWER_STDOUT_WORLD)); 878 PetscCall(DMComputeL2Diff(dm, 0.0, user.exactFuncs, NULL, u, &error)); 879 if (error < tol) PetscCall(PetscPrintf(PETSC_COMM_WORLD, "L_2 Error: < %2.1e\n", (double)tol)); 880 else PetscCall(PetscPrintf(PETSC_COMM_WORLD, "L_2 Error: %g\n", (double)error)); 881 /* Check residual */ 882 PetscCall(SNESComputeFunction(snes, u, r)); 883 PetscCall(PetscPrintf(PETSC_COMM_WORLD, "Initial Residual\n")); 884 PetscCall(VecFilter(r, 1.0e-10)); 885 if (!user.quiet) PetscCall(VecView(r, PETSC_VIEWER_STDOUT_WORLD)); 886 PetscCall(VecNorm(r, NORM_2, &res)); 887 PetscCall(PetscPrintf(PETSC_COMM_WORLD, "L_2 Residual: %g\n", (double)res)); 888 /* Check Jacobian */ 889 { 890 Vec b; 891 892 PetscCall(SNESComputeJacobian(snes, u, A, A)); 893 PetscCall(VecDuplicate(u, &b)); 894 PetscCall(VecSet(r, 0.0)); 895 PetscCall(SNESComputeFunction(snes, r, b)); 896 PetscCall(MatMult(A, u, r)); 897 PetscCall(VecAXPY(r, 1.0, b)); 898 PetscCall(PetscPrintf(PETSC_COMM_WORLD, "Au - b = Au + F(0)\n")); 899 PetscCall(VecFilter(r, 1.0e-10)); 900 if (!user.quiet) PetscCall(VecView(r, PETSC_VIEWER_STDOUT_WORLD)); 901 PetscCall(VecNorm(r, NORM_2, &res)); 902 PetscCall(PetscPrintf(PETSC_COMM_WORLD, "Linear L_2 Residual: %g\n", (double)res)); 903 /* check solver */ 904 if (user.checkksp) { 905 KSP ksp; 906 907 if (nullSpace) PetscCall(MatNullSpaceRemove(nullSpace, u)); 908 PetscCall(SNESComputeJacobian(snes, u, A, J)); 909 PetscCall(MatMult(A, u, b)); 910 PetscCall(SNESGetKSP(snes, &ksp)); 911 PetscCall(KSPSetOperators(ksp, A, J)); 912 PetscCall(KSPSolve(ksp, b, r)); 913 PetscCall(VecAXPY(r, -1.0, u)); 914 PetscCall(VecNorm(r, NORM_2, &res)); 915 PetscCall(PetscPrintf(PETSC_COMM_WORLD, "KSP Error: %g\n", (double)res)); 916 } 917 PetscCall(VecDestroy(&b)); 918 } 919 } 920 PetscCall(VecViewFromOptions(u, NULL, "-vec_view")); 921 { 922 Vec nu; 923 924 PetscCall(DMGetAuxiliaryVec(dm, NULL, 0, 0, &nu)); 925 if (nu) PetscCall(VecViewFromOptions(nu, NULL, "-coeff_view")); 926 } 927 928 if (user.bdIntegral) { 929 DMLabel label; 930 PetscInt id = 1; 931 PetscScalar bdInt = 0.0; 932 PetscReal exact = 3.3333333333; 933 934 PetscCall(DMGetLabel(dm, "marker", &label)); 935 PetscCall(DMPlexComputeBdIntegral(dm, u, label, 1, &id, bd_integral_2d, &bdInt, NULL)); 936 PetscCall(PetscPrintf(PETSC_COMM_WORLD, "Solution boundary integral: %.4g\n", (double)PetscAbsScalar(bdInt))); 937 PetscCheck(PetscAbsReal(PetscAbsScalar(bdInt) - exact) <= PETSC_SQRT_MACHINE_EPSILON, PETSC_COMM_WORLD, PETSC_ERR_PLIB, "Invalid boundary integral %g != %g", (double)PetscAbsScalar(bdInt), (double)exact); 938 } 939 940 PetscCall(MatNullSpaceDestroy(&nullSpace)); 941 if (user.jacobianMF) PetscCall(VecDestroy(&userJ.u)); 942 if (A != J) PetscCall(MatDestroy(&A)); 943 PetscCall(MatDestroy(&J)); 944 PetscCall(VecDestroy(&u)); 945 PetscCall(SNESDestroy(&snes)); 946 PetscCall(DMDestroy(&dm)); 947 PetscCall(PetscFree2(user.exactFuncs, user.exactFields)); 948 PetscCall(PetscFree(user.kgrid)); 949 PetscCall(PetscFinalize()); 950 return 0; 951 } 952 953 /*TEST 954 # 2D serial P1 test 0-4 955 test: 956 suffix: 2d_p1_0 957 requires: triangle 958 args: -run_type test -bc_type dirichlet -dm_plex_interpolate 0 -petscspace_degree 1 -show_initial -dm_plex_print_fem 1 959 960 test: 961 suffix: 2d_p1_1 962 requires: triangle 963 args: -run_type test -bc_type dirichlet -petscspace_degree 1 -show_initial -dm_plex_print_fem 1 964 965 test: 966 suffix: 2d_p1_2 967 requires: triangle 968 args: -run_type test -dm_refine_volume_limit_pre 0.0625 -bc_type dirichlet -petscspace_degree 1 -show_initial -dm_plex_print_fem 1 969 970 test: 971 suffix: 2d_p1_neumann_0 972 requires: triangle 973 args: -dm_coord_space 0 -run_type test -bc_type neumann -dm_plex_boundary_label boundary -petscspace_degree 1 -show_initial -dm_plex_print_fem 1 -dm_view ascii::ascii_info_detail 974 975 test: 976 suffix: 2d_p1_neumann_1 977 requires: triangle 978 args: -run_type test -dm_refine_volume_limit_pre 0.0625 -bc_type neumann -dm_plex_boundary_label boundary -petscspace_degree 1 -show_initial -dm_plex_print_fem 1 979 980 # 2D serial P2 test 5-8 981 test: 982 suffix: 2d_p2_0 983 requires: triangle 984 args: -run_type test -bc_type dirichlet -petscspace_degree 2 -show_initial -dm_plex_print_fem 1 985 986 test: 987 suffix: 2d_p2_1 988 requires: triangle 989 args: -run_type test -dm_refine_volume_limit_pre 0.0625 -bc_type dirichlet -petscspace_degree 2 -show_initial -dm_plex_print_fem 1 990 991 test: 992 suffix: 2d_p2_neumann_0 993 requires: triangle 994 args: -dm_coord_space 0 -run_type test -bc_type neumann -dm_plex_boundary_label boundary -petscspace_degree 2 -show_initial -dm_plex_print_fem 1 -dm_view ascii::ascii_info_detail 995 996 test: 997 suffix: 2d_p2_neumann_1 998 requires: triangle 999 args: -dm_coord_space 0 -run_type test -dm_refine_volume_limit_pre 0.0625 -bc_type neumann -dm_plex_boundary_label boundary -petscspace_degree 2 -show_initial -dm_plex_print_fem 1 -dm_view ascii::ascii_info_detail 1000 1001 test: 1002 suffix: bd_int_0 1003 requires: triangle 1004 args: -run_type test -bc_type dirichlet -petscspace_degree 2 -bd_integral -dm_view -quiet 1005 1006 test: 1007 suffix: bd_int_1 1008 requires: triangle 1009 args: -run_type test -dm_refine 2 -bc_type dirichlet -petscspace_degree 2 -bd_integral -dm_view -quiet 1010 1011 # 3D serial P1 test 9-12 1012 test: 1013 suffix: 3d_p1_0 1014 requires: ctetgen 1015 args: -run_type test -dm_plex_dim 3 -bc_type dirichlet -dm_plex_interpolate 0 -petscspace_degree 1 -show_initial -dm_plex_print_fem 1 -dm_view 1016 1017 test: 1018 suffix: 3d_p1_1 1019 requires: ctetgen 1020 args: -run_type test -dm_plex_dim 3 -bc_type dirichlet -petscspace_degree 1 -show_initial -dm_plex_print_fem 1 -dm_view 1021 1022 test: 1023 suffix: 3d_p1_2 1024 requires: ctetgen 1025 args: -run_type test -dm_plex_dim 3 -dm_refine_volume_limit_pre 0.0125 -bc_type dirichlet -petscspace_degree 1 -show_initial -dm_plex_print_fem 1 -dm_view 1026 1027 test: 1028 suffix: 3d_p1_neumann_0 1029 requires: ctetgen 1030 args: -run_type test -dm_plex_dim 3 -bc_type neumann -dm_plex_boundary_label boundary -petscspace_degree 1 -snes_fd -show_initial -dm_plex_print_fem 1 -dm_view 1031 1032 # Analytic variable coefficient 13-20 1033 test: 1034 suffix: 13 1035 requires: triangle 1036 args: -run_type test -variable_coefficient analytic -petscspace_degree 1 -show_initial -dm_plex_print_fem 1 1037 test: 1038 suffix: 14 1039 requires: triangle 1040 args: -run_type test -dm_refine_volume_limit_pre 0.0625 -variable_coefficient analytic -petscspace_degree 1 -show_initial -dm_plex_print_fem 1 1041 test: 1042 suffix: 15 1043 requires: triangle 1044 args: -run_type test -variable_coefficient analytic -petscspace_degree 2 -show_initial -dm_plex_print_fem 1 1045 test: 1046 suffix: 16 1047 requires: triangle 1048 args: -run_type test -dm_refine_volume_limit_pre 0.0625 -variable_coefficient analytic -petscspace_degree 2 -show_initial -dm_plex_print_fem 1 1049 test: 1050 suffix: 17 1051 requires: ctetgen 1052 args: -run_type test -dm_plex_dim 3 -variable_coefficient analytic -petscspace_degree 1 -show_initial -dm_plex_print_fem 1 1053 1054 test: 1055 suffix: 18 1056 requires: ctetgen 1057 args: -run_type test -dm_plex_dim 3 -dm_refine_volume_limit_pre 0.0125 -variable_coefficient analytic -petscspace_degree 1 -show_initial -dm_plex_print_fem 1 1058 1059 test: 1060 suffix: 19 1061 requires: ctetgen 1062 args: -run_type test -dm_plex_dim 3 -variable_coefficient analytic -petscspace_degree 2 -show_initial -dm_plex_print_fem 1 1063 1064 test: 1065 suffix: 20 1066 requires: ctetgen 1067 args: -run_type test -dm_plex_dim 3 -dm_refine_volume_limit_pre 0.0125 -variable_coefficient analytic -petscspace_degree 2 -show_initial -dm_plex_print_fem 1 1068 1069 # P1 variable coefficient 21-28 1070 test: 1071 suffix: 21 1072 requires: triangle 1073 args: -run_type test -variable_coefficient field -petscspace_degree 1 -mat_petscspace_degree 1 -show_initial -dm_plex_print_fem 1 1074 1075 test: 1076 suffix: 22 1077 requires: triangle 1078 args: -run_type test -dm_refine_volume_limit_pre 0.0625 -variable_coefficient field -petscspace_degree 1 -mat_petscspace_degree 1 -show_initial -dm_plex_print_fem 1 1079 1080 test: 1081 suffix: 23 1082 requires: triangle 1083 args: -run_type test -variable_coefficient field -petscspace_degree 2 -mat_petscspace_degree 1 -show_initial -dm_plex_print_fem 1 1084 1085 test: 1086 suffix: 24 1087 requires: triangle 1088 args: -run_type test -dm_refine_volume_limit_pre 0.0625 -variable_coefficient field -petscspace_degree 2 -mat_petscspace_degree 1 -show_initial -dm_plex_print_fem 1 1089 1090 test: 1091 suffix: 25 1092 requires: ctetgen 1093 args: -run_type test -dm_plex_dim 3 -variable_coefficient field -petscspace_degree 1 -mat_petscspace_degree 1 -show_initial -dm_plex_print_fem 1 1094 1095 test: 1096 suffix: 26 1097 requires: ctetgen 1098 args: -run_type test -dm_plex_dim 3 -dm_refine_volume_limit_pre 0.0125 -variable_coefficient field -petscspace_degree 1 -mat_petscspace_degree 1 -show_initial -dm_plex_print_fem 1 1099 1100 test: 1101 suffix: 27 1102 requires: ctetgen 1103 args: -run_type test -dm_plex_dim 3 -variable_coefficient field -petscspace_degree 2 -mat_petscspace_degree 1 -show_initial -dm_plex_print_fem 1 1104 1105 test: 1106 suffix: 28 1107 requires: ctetgen 1108 args: -run_type test -dm_plex_dim 3 -dm_refine_volume_limit_pre 0.0125 -variable_coefficient field -petscspace_degree 2 -mat_petscspace_degree 1 -show_initial -dm_plex_print_fem 1 1109 1110 # P0 variable coefficient 29-36 1111 test: 1112 suffix: 29 1113 requires: triangle 1114 args: -run_type test -variable_coefficient field -petscspace_degree 1 -show_initial -dm_plex_print_fem 1 1115 1116 test: 1117 suffix: 30 1118 requires: triangle 1119 args: -run_type test -dm_refine_volume_limit_pre 0.0625 -variable_coefficient field -petscspace_degree 1 -show_initial -dm_plex_print_fem 1 1120 1121 test: 1122 suffix: 31 1123 requires: triangle 1124 args: -run_type test -variable_coefficient field -petscspace_degree 2 -show_initial -dm_plex_print_fem 1 1125 1126 test: 1127 requires: triangle 1128 suffix: 32 1129 args: -run_type test -dm_refine_volume_limit_pre 0.0625 -variable_coefficient field -petscspace_degree 2 -show_initial -dm_plex_print_fem 1 1130 1131 test: 1132 requires: ctetgen 1133 suffix: 33 1134 args: -run_type test -dm_plex_dim 3 -variable_coefficient field -petscspace_degree 1 -show_initial -dm_plex_print_fem 1 1135 1136 test: 1137 suffix: 34 1138 requires: ctetgen 1139 args: -run_type test -dm_plex_dim 3 -dm_refine_volume_limit_pre 0.0125 -variable_coefficient field -petscspace_degree 1 -show_initial -dm_plex_print_fem 1 1140 1141 test: 1142 suffix: 35 1143 requires: ctetgen 1144 args: -run_type test -dm_plex_dim 3 -variable_coefficient field -petscspace_degree 2 -show_initial -dm_plex_print_fem 1 1145 1146 test: 1147 suffix: 36 1148 requires: ctetgen 1149 args: -run_type test -dm_plex_dim 3 -dm_refine_volume_limit_pre 0.0125 -variable_coefficient field -petscspace_degree 2 -show_initial -dm_plex_print_fem 1 1150 1151 # Full solve 39-44 1152 test: 1153 suffix: 39 1154 requires: triangle !single 1155 args: -run_type full -dm_refine_volume_limit_pre 0.015625 -petscspace_degree 2 -pc_type gamg -pc_gamg_esteig_ksp_type cg -pc_gamg_esteig_ksp_max_it 10 -snes_rtol 1.0e-6 -ksp_rtol 1.0e-7 -ksp_monitor -ksp_converged_reason -snes_monitor_short -snes_converged_reason ::ascii_info_detail 1156 test: 1157 suffix: 40 1158 requires: triangle !single 1159 args: -run_type full -dm_refine_volume_limit_pre 0.015625 -variable_coefficient nonlinear -petscspace_degree 2 -pc_type svd -ksp_rtol 1.0e-10 -snes_monitor_short -snes_converged_reason ::ascii_info_detail 1160 test: 1161 suffix: 41 1162 requires: triangle !single 1163 args: -run_type full -dm_refine_volume_limit_pre 0.03125 -variable_coefficient nonlinear -petscspace_degree 1 -snes_type fas -snes_fas_levels 2 -fas_coarse_pc_type svd -fas_coarse_ksp_rtol 1.0e-10 -fas_coarse_snes_monitor_short -snes_monitor_short -fas_coarse_snes_linesearch_type basic -snes_converged_reason ::ascii_info_detail -dm_refine_hierarchy 1 -snes_view -fas_levels_1_snes_type newtonls -fas_levels_1_pc_type svd -fas_levels_1_ksp_rtol 1.0e-10 -fas_levels_1_snes_monitor_short 1164 test: 1165 suffix: 42 1166 requires: triangle !single 1167 args: -run_type full -dm_refine_volume_limit_pre 0.0625 -variable_coefficient nonlinear -petscspace_degree 1 -snes_type fas -snes_fas_levels 3 -fas_coarse_pc_type svd -fas_coarse_ksp_rtol 1.0e-10 -fas_coarse_snes_monitor_short -snes_monitor_short -fas_coarse_snes_linesearch_type basic -snes_converged_reason ::ascii_info_detail -dm_refine_hierarchy 2 -snes_view -fas_levels_1_snes_type newtonls -fas_levels_1_pc_type svd -fas_levels_1_ksp_rtol 1.0e-10 -fas_levels_1_snes_monitor_short -fas_levels_2_snes_type newtonls -fas_levels_2_pc_type svd -fas_levels_2_ksp_rtol 1.0e-10 -fas_levels_2_snes_atol 1.0e-11 -fas_levels_2_snes_monitor_short 1168 test: 1169 suffix: 43 1170 requires: triangle !single 1171 nsize: 2 1172 args: -run_type full -dm_refine_volume_limit_pre 0.03125 -variable_coefficient nonlinear -petscspace_degree 1 -snes_type fas -snes_fas_levels 2 -fas_coarse_pc_type svd -fas_coarse_ksp_rtol 1.0e-10 -fas_coarse_snes_monitor_short -snes_monitor_short -fas_coarse_snes_linesearch_type basic -snes_converged_reason ::ascii_info_detail -dm_refine_hierarchy 1 -snes_view -fas_levels_1_snes_type newtonls -fas_levels_1_pc_type svd -fas_levels_1_ksp_rtol 1.0e-10 -fas_levels_1_snes_monitor_short 1173 1174 test: 1175 suffix: 44 1176 requires: triangle !single 1177 nsize: 2 1178 args: -run_type full -dm_refine_volume_limit_pre 0.0625 -variable_coefficient nonlinear -petscspace_degree 1 -snes_type fas -snes_fas_levels 3 -fas_coarse_pc_type svd -fas_coarse_ksp_rtol 1.0e-10 -fas_coarse_snes_monitor_short -snes_monitor_short -fas_coarse_snes_linesearch_type basic -snes_converged_reason ::ascii_info_detail -dm_refine_hierarchy 2 -dm_plex_print_fem 0 -snes_view -fas_levels_1_snes_type newtonls -fas_levels_1_pc_type svd -fas_levels_1_ksp_rtol 1.0e-10 -fas_levels_1_snes_monitor_short -fas_levels_2_snes_type newtonls -fas_levels_2_pc_type svd -fas_levels_2_ksp_rtol 1.0e-10 -fas_levels_2_snes_atol 1.0e-11 -fas_levels_2_snes_monitor_short 1179 1180 # These tests use a loose tolerance just to exercise the PtAP operations for MATIS and multiple PCBDDC setup calls inside PCMG 1181 testset: 1182 requires: triangle !single 1183 nsize: 3 1184 args: -run_type full -petscspace_degree 1 -dm_mat_type is -pc_type mg -mg_coarse_pc_type bddc -pc_mg_galerkin pmat -ksp_rtol 1.0e-2 -snes_converged_reason -dm_refine_hierarchy 2 -snes_max_it 4 1185 test: 1186 suffix: gmg_bddc 1187 filter: sed -e "s/CONVERGED_FNORM_RELATIVE iterations 3/CONVERGED_FNORM_RELATIVE iterations 4/g" 1188 args: -mg_levels_pc_type jacobi 1189 test: 1190 filter: sed -e "s/iterations [0-4]/iterations 4/g" 1191 suffix: gmg_bddc_lev 1192 args: -mg_levels_pc_type bddc 1193 1194 # Restarting 1195 testset: 1196 suffix: restart 1197 requires: hdf5 triangle !complex 1198 args: -run_type test -bc_type dirichlet -petscspace_degree 1 1199 test: 1200 args: -dm_view hdf5:sol.h5 -vec_view hdf5:sol.h5::append 1201 test: 1202 args: -dm_plex_filename sol.h5 -dm_plex_name box -restart 1203 1204 # Periodicity 1205 test: 1206 suffix: periodic_0 1207 requires: triangle 1208 args: -run_type full -bc_type dirichlet -petscspace_degree 1 -snes_converged_reason ::ascii_info_detail 1209 1210 test: 1211 requires: !complex 1212 suffix: periodic_1 1213 args: -quiet -run_type test -dm_plex_simplex 0 -dm_plex_box_faces 3,3 -dm_plex_box_bd periodic,periodic -vec_view vtk:test.vtu:vtk_vtu -petscspace_degree 1 -dm_refine 1 1214 1215 # 2D serial P1 test with field bc 1216 test: 1217 suffix: field_bc_2d_p1_0 1218 requires: triangle 1219 args: -run_type test -bc_type dirichlet -field_bc -petscspace_degree 1 -bc_petscspace_degree 2 -show_initial -dm_plex_print_fem 1 1220 1221 test: 1222 suffix: field_bc_2d_p1_1 1223 requires: triangle 1224 args: -run_type test -dm_refine 1 -bc_type dirichlet -field_bc -petscspace_degree 1 -bc_petscspace_degree 2 -show_initial -dm_plex_print_fem 1 1225 1226 test: 1227 suffix: field_bc_2d_p1_neumann_0 1228 requires: triangle 1229 args: -run_type test -bc_type neumann -dm_plex_boundary_label boundary -field_bc -petscspace_degree 1 -bc_petscspace_degree 2 -show_initial -dm_plex_print_fem 1 1230 1231 test: 1232 suffix: field_bc_2d_p1_neumann_1 1233 requires: triangle 1234 args: -run_type test -dm_refine 1 -bc_type neumann -dm_plex_boundary_label boundary -field_bc -petscspace_degree 1 -bc_petscspace_degree 2 -show_initial -dm_plex_print_fem 1 1235 1236 # 3D serial P1 test with field bc 1237 test: 1238 suffix: field_bc_3d_p1_0 1239 requires: ctetgen 1240 args: -run_type test -dm_plex_dim 3 -bc_type dirichlet -field_bc -petscspace_degree 1 -bc_petscspace_degree 2 -show_initial -dm_plex_print_fem 1 1241 1242 test: 1243 suffix: field_bc_3d_p1_1 1244 requires: ctetgen 1245 args: -run_type test -dm_plex_dim 3 -dm_refine 1 -bc_type dirichlet -field_bc -petscspace_degree 1 -bc_petscspace_degree 2 -show_initial -dm_plex_print_fem 1 1246 1247 test: 1248 suffix: field_bc_3d_p1_neumann_0 1249 requires: ctetgen 1250 args: -run_type test -dm_plex_dim 3 -bc_type neumann -dm_plex_boundary_label boundary -field_bc -petscspace_degree 1 -bc_petscspace_degree 2 -show_initial -dm_plex_print_fem 1 1251 1252 test: 1253 suffix: field_bc_3d_p1_neumann_1 1254 requires: ctetgen 1255 args: -run_type test -dm_plex_dim 3 -dm_refine 1 -bc_type neumann -dm_plex_boundary_label boundary -field_bc -petscspace_degree 1 -bc_petscspace_degree 2 -show_initial -dm_plex_print_fem 1 1256 1257 # 2D serial P2 test with field bc 1258 test: 1259 suffix: field_bc_2d_p2_0 1260 requires: triangle 1261 args: -run_type test -bc_type dirichlet -field_bc -petscspace_degree 2 -bc_petscspace_degree 2 -show_initial -dm_plex_print_fem 1 1262 1263 test: 1264 suffix: field_bc_2d_p2_1 1265 requires: triangle 1266 args: -run_type test -dm_refine 1 -bc_type dirichlet -field_bc -petscspace_degree 2 -bc_petscspace_degree 2 -show_initial -dm_plex_print_fem 1 1267 1268 test: 1269 suffix: field_bc_2d_p2_neumann_0 1270 requires: triangle 1271 args: -run_type test -bc_type neumann -dm_plex_boundary_label boundary -field_bc -petscspace_degree 2 -bc_petscspace_degree 2 -show_initial -dm_plex_print_fem 1 1272 1273 test: 1274 suffix: field_bc_2d_p2_neumann_1 1275 requires: triangle 1276 args: -run_type test -dm_refine 1 -bc_type neumann -dm_plex_boundary_label boundary -field_bc -petscspace_degree 2 -bc_petscspace_degree 2 -show_initial -dm_plex_print_fem 1 1277 1278 # 3D serial P2 test with field bc 1279 test: 1280 suffix: field_bc_3d_p2_0 1281 requires: ctetgen 1282 args: -run_type test -dm_plex_dim 3 -bc_type dirichlet -field_bc -petscspace_degree 2 -bc_petscspace_degree 2 -show_initial -dm_plex_print_fem 1 1283 1284 test: 1285 suffix: field_bc_3d_p2_1 1286 requires: ctetgen 1287 args: -run_type test -dm_plex_dim 3 -dm_refine 1 -bc_type dirichlet -field_bc -petscspace_degree 2 -bc_petscspace_degree 2 -show_initial -dm_plex_print_fem 1 1288 1289 test: 1290 suffix: field_bc_3d_p2_neumann_0 1291 requires: ctetgen 1292 args: -run_type test -dm_plex_dim 3 -bc_type neumann -dm_plex_boundary_label boundary -field_bc -petscspace_degree 2 -bc_petscspace_degree 2 -show_initial -dm_plex_print_fem 1 1293 1294 test: 1295 suffix: field_bc_3d_p2_neumann_1 1296 requires: ctetgen 1297 args: -run_type test -dm_plex_dim 3 -dm_refine 1 -bc_type neumann -dm_plex_boundary_label boundary -field_bc -petscspace_degree 2 -bc_petscspace_degree 2 -show_initial -dm_plex_print_fem 1 1298 1299 # Full solve simplex: Convergence 1300 test: 1301 suffix: 3d_p1_conv 1302 requires: ctetgen 1303 args: -run_type full -dm_plex_dim 3 -dm_refine 1 -bc_type dirichlet -petscspace_degree 1 \ 1304 -snes_convergence_estimate -convest_num_refine 1 -pc_type lu 1305 1306 # Full solve simplex: PCBDDC 1307 test: 1308 suffix: tri_bddc 1309 requires: triangle !single 1310 nsize: 5 1311 args: -run_type full -petscpartitioner_type simple -dm_refine 2 -bc_type dirichlet -petscspace_degree 1 -ksp_type gmres -ksp_gmres_restart 100 -ksp_rtol 1.0e-9 -dm_mat_type is -pc_type bddc -snes_monitor_short -ksp_monitor_short -snes_converged_reason ::ascii_info_detail -ksp_converged_reason -snes_view -show_solution 0 1312 1313 # Full solve simplex: PCBDDC 1314 test: 1315 suffix: tri_parmetis_bddc 1316 requires: triangle !single parmetis 1317 nsize: 4 1318 args: -run_type full -petscpartitioner_type parmetis -dm_refine 2 -bc_type dirichlet -petscspace_degree 1 -ksp_type gmres -ksp_gmres_restart 100 -ksp_rtol 1.0e-9 -dm_mat_type is -pc_type bddc -snes_monitor_short -ksp_monitor_short -snes_converged_reason ::ascii_info_detail -ksp_converged_reason -snes_view -show_solution 0 1319 1320 testset: 1321 args: -run_type full -dm_plex_simplex 0 -dm_plex_box_faces 3,3 -petscpartitioner_type simple -dm_refine 2 -bc_type dirichlet -petscspace_degree 2 -dm_mat_type is -pc_type bddc -ksp_type gmres -snes_monitor_short -ksp_monitor_short -snes_view -petscspace_poly_tensor -pc_bddc_corner_selection -ksp_rtol 1.e-9 -pc_bddc_use_edges 0 1322 nsize: 5 1323 output_file: output/ex12_quad_bddc.out 1324 filter: sed -e "s/aijcusparse/aij/g" -e "s/aijviennacl/aij/g" -e "s/factorization: cusparse/factorization: petsc/g" 1325 test: 1326 requires: !single 1327 suffix: quad_bddc 1328 test: 1329 requires: !single cuda 1330 suffix: quad_bddc_cuda 1331 args: -mat_is_localmat_type aijcusparse -pc_bddc_dirichlet_pc_factor_mat_solver_type cusparse -pc_bddc_neumann_pc_factor_mat_solver_type cusparse 1332 test: 1333 requires: !single viennacl 1334 suffix: quad_bddc_viennacl 1335 args: -mat_is_localmat_type aijviennacl 1336 1337 # Full solve simplex: ASM 1338 test: 1339 suffix: tri_q2q1_asm_lu 1340 requires: triangle !single 1341 args: -run_type full -dm_refine 3 -bc_type dirichlet -petscspace_degree 1 -ksp_type gmres -ksp_gmres_restart 100 -ksp_rtol 1.0e-9 -pc_type asm -pc_asm_type restrict -pc_asm_blocks 4 -sub_pc_type lu -snes_monitor_short -ksp_monitor_short -snes_converged_reason ::ascii_info_detail -ksp_converged_reason -snes_view -show_solution 0 1342 1343 test: 1344 suffix: tri_q2q1_msm_lu 1345 requires: triangle !single 1346 args: -run_type full -dm_refine 3 -bc_type dirichlet -petscspace_degree 1 -ksp_type gmres -ksp_gmres_restart 100 -ksp_rtol 1.0e-9 -pc_type asm -pc_asm_type restrict -pc_asm_local_type multiplicative -pc_asm_blocks 4 -sub_pc_type lu -snes_monitor_short -ksp_monitor_short -snes_converged_reason ::ascii_info_detail -ksp_converged_reason -snes_view -show_solution 0 1347 1348 test: 1349 suffix: tri_q2q1_asm_sor 1350 requires: triangle !single 1351 args: -run_type full -dm_refine 3 -bc_type dirichlet -petscspace_degree 1 -ksp_type gmres -ksp_gmres_restart 100 -ksp_rtol 1.0e-9 -pc_type asm -pc_asm_type restrict -pc_asm_blocks 4 -sub_pc_type sor -snes_monitor_short -ksp_monitor_short -snes_converged_reason ::ascii_info_detail -ksp_converged_reason -snes_view -show_solution 0 1352 1353 test: 1354 suffix: tri_q2q1_msm_sor 1355 requires: triangle !single 1356 args: -run_type full -dm_refine 3 -bc_type dirichlet -petscspace_degree 1 -ksp_type gmres -ksp_gmres_restart 100 -ksp_rtol 1.0e-9 -pc_type asm -pc_asm_type restrict -pc_asm_local_type multiplicative -pc_asm_blocks 4 -sub_pc_type sor -snes_monitor_short -ksp_monitor_short -snes_converged_reason ::ascii_info_detail -ksp_converged_reason -snes_view -show_solution 0 1357 1358 # Full solve simplex: FAS 1359 test: 1360 suffix: fas_newton_0 1361 requires: triangle !single 1362 args: -run_type full -variable_coefficient nonlinear -petscspace_degree 1 -snes_type fas -snes_fas_levels 2 -fas_coarse_pc_type svd -fas_coarse_ksp_rtol 1.0e-10 -fas_coarse_snes_monitor_short -snes_monitor_short -fas_coarse_snes_linesearch_type basic -snes_converged_reason ::ascii_info_detail -dm_refine_hierarchy 1 -snes_view -fas_levels_1_snes_type newtonls -fas_levels_1_pc_type svd -fas_levels_1_ksp_rtol 1.0e-10 -fas_levels_1_snes_monitor_short 1363 1364 test: 1365 suffix: fas_newton_1 1366 requires: triangle !single 1367 args: -run_type full -dm_refine_hierarchy 3 -petscspace_degree 1 -snes_type fas -snes_fas_levels 3 -fas_coarse_pc_type lu -fas_coarse_snes_monitor_short -snes_monitor_short -fas_coarse_snes_linesearch_type basic -snes_converged_reason ::ascii_info_detail -snes_view -fas_levels_snes_type newtonls -fas_levels_snes_linesearch_type basic -fas_levels_ksp_rtol 1.0e-10 -fas_levels_snes_monitor_short 1368 filter: sed -e "s/total number of linear solver iterations=14/total number of linear solver iterations=15/g" 1369 1370 test: 1371 suffix: fas_ngs_0 1372 requires: triangle !single 1373 args: -run_type full -variable_coefficient nonlinear -petscspace_degree 1 -snes_type fas -snes_fas_levels 2 -fas_coarse_pc_type svd -fas_coarse_ksp_rtol 1.0e-10 -fas_coarse_snes_monitor_short -snes_monitor_short -fas_coarse_snes_linesearch_type basic -snes_converged_reason ::ascii_info_detail -dm_refine_hierarchy 1 -snes_view -fas_levels_1_snes_type ngs -fas_levels_1_snes_monitor_short 1374 1375 # These two tests are broken because DMPlexComputeInjectorFEM() only works for regularly refined meshes 1376 test: 1377 suffix: fas_newton_coarse_0 1378 requires: pragmatic triangle 1379 TODO: broken 1380 args: -run_type full -variable_coefficient nonlinear -petscspace_degree 1 \ 1381 -dm_refine 2 -dm_coarsen_hierarchy 1 -dm_plex_hash_location -dm_adaptor pragmatic \ 1382 -snes_type fas -snes_fas_levels 2 -snes_converged_reason ::ascii_info_detail -snes_monitor_short -snes_view \ 1383 -fas_coarse_pc_type svd -fas_coarse_ksp_rtol 1.0e-10 -fas_coarse_snes_monitor_short -fas_coarse_snes_linesearch_type basic \ 1384 -fas_levels_1_snes_type newtonls -fas_levels_1_pc_type svd -fas_levels_1_ksp_rtol 1.0e-10 -fas_levels_1_snes_monitor_short 1385 1386 test: 1387 suffix: mg_newton_coarse_0 1388 requires: triangle pragmatic 1389 TODO: broken 1390 args: -run_type full -petscspace_degree 1 \ 1391 -dm_refine 3 -dm_coarsen_hierarchy 3 -dm_plex_hash_location -dm_adaptor pragmatic \ 1392 -snes_atol 1.0e-8 -snes_rtol 0.0 -snes_monitor_short -snes_converged_reason ::ascii_info_detail -snes_view \ 1393 -ksp_type richardson -ksp_atol 1.0e-8 -ksp_rtol 0.0 -ksp_norm_type unpreconditioned -ksp_monitor_true_residual \ 1394 -pc_type mg -pc_mg_levels 4 \ 1395 -mg_levels_ksp_type gmres -mg_levels_pc_type ilu -mg_levels_ksp_max_it 10 1396 1397 # Full solve tensor 1398 test: 1399 suffix: tensor_plex_2d 1400 args: -run_type test -dm_plex_simplex 0 -bc_type dirichlet -petscspace_degree 1 -dm_refine_hierarchy 2 1401 1402 test: 1403 suffix: tensor_p4est_2d 1404 requires: p4est 1405 args: -run_type test -dm_plex_simplex 0 -bc_type dirichlet -petscspace_degree 1 -dm_forest_initial_refinement 2 -dm_forest_minimum_refinement 0 -dm_plex_convert_type p4est 1406 1407 test: 1408 suffix: tensor_plex_3d 1409 args: -run_type test -dm_plex_simplex 0 -bc_type dirichlet -petscspace_degree 1 -dm_plex_dim 3 -dm_refine_hierarchy 1 -dm_plex_box_faces 2,2,2 1410 1411 test: 1412 suffix: tensor_p4est_3d 1413 requires: p4est 1414 args: -run_type test -dm_plex_simplex 0 -bc_type dirichlet -petscspace_degree 1 -dm_forest_initial_refinement 1 -dm_forest_minimum_refinement 0 -dm_plex_dim 3 -dm_plex_convert_type p8est -dm_plex_box_faces 2,2,2 1415 1416 test: 1417 suffix: p4est_test_q2_conformal_serial 1418 requires: p4est 1419 args: -run_type test -petscspace_degree 2 -dm_plex_simplex 0 -dm_plex_convert_type p4est -dm_forest_minimum_refinement 0 -dm_forest_initial_refinement 2 1420 1421 test: 1422 suffix: p4est_test_q2_conformal_parallel 1423 requires: p4est 1424 nsize: 7 1425 args: -run_type test -petscspace_degree 2 -dm_plex_simplex 0 -dm_plex_convert_type p4est -dm_forest_minimum_refinement 0 -dm_forest_initial_refinement 2 -petscpartitioner_type simple 1426 1427 test: 1428 suffix: p4est_test_q2_conformal_parallel_parmetis 1429 requires: parmetis p4est 1430 nsize: 4 1431 args: -run_type test -petscspace_degree 2 -dm_plex_simplex 0 -dm_plex_convert_type p4est -dm_forest_minimum_refinement 0 -dm_forest_initial_refinement 2 -petscpartitioner_type parmetis 1432 1433 test: 1434 suffix: p4est_test_q2_nonconformal_serial 1435 requires: p4est 1436 filter: grep -v "CG or CGNE: variant" 1437 args: -run_type test -petscspace_degree 2 -dm_plex_simplex 0 -dm_plex_convert_type p4est -dm_forest_minimum_refinement 0 -dm_forest_initial_refinement 2 -dm_forest_maximum_refinement 4 -dm_p4est_refine_pattern hash 1438 1439 test: 1440 suffix: p4est_test_q2_nonconformal_parallel 1441 requires: p4est 1442 filter: grep -v "CG or CGNE: variant" 1443 nsize: 7 1444 args: -run_type test -petscspace_degree 2 -dm_plex_simplex 0 -dm_plex_convert_type p4est -dm_forest_minimum_refinement 0 -dm_forest_initial_refinement 2 -dm_forest_maximum_refinement 4 -dm_p4est_refine_pattern hash -petscpartitioner_type simple 1445 1446 test: 1447 suffix: p4est_test_q2_nonconformal_parallel_parmetis 1448 requires: parmetis p4est 1449 nsize: 4 1450 args: -run_type test -petscspace_degree 2 -dm_plex_simplex 0 -dm_plex_convert_type p4est -dm_forest_minimum_refinement 0 -dm_forest_initial_refinement 2 -dm_forest_maximum_refinement 4 -dm_p4est_refine_pattern hash -petscpartitioner_type parmetis 1451 1452 test: 1453 suffix: p4est_exact_q2_conformal_serial 1454 requires: p4est !single !complex !__float128 1455 args: -run_type exact -petscspace_degree 2 -fas_levels_snes_atol 1.e-10 -snes_max_it 1 -snes_type fas -snes_fas_levels 3 -fas_coarse_pc_type none -fas_coarse_ksp_type preonly -fas_coarse_snes_monitor_short -snes_monitor_short -fas_coarse_snes_linesearch_type basic -snes_converged_reason ::ascii_info_detail -snes_view -fas_levels_snes_type newtonls -fas_levels_pc_type none -fas_levels_ksp_type preonly -fas_levels_snes_monitor_short -dm_plex_simplex 0 -dm_plex_convert_type p4est -dm_forest_minimum_refinement 0 -dm_forest_initial_refinement 2 1456 1457 test: 1458 suffix: p4est_exact_q2_conformal_parallel 1459 requires: p4est !single !complex !__float128 1460 nsize: 4 1461 args: -run_type exact -petscspace_degree 2 -fas_levels_snes_atol 1.e-10 -snes_max_it 1 -snes_type fas -snes_fas_levels 3 -fas_coarse_pc_type none -fas_coarse_ksp_type preonly -fas_coarse_snes_monitor_short -snes_monitor_short -fas_coarse_snes_linesearch_type basic -snes_converged_reason ::ascii_info_detail -snes_view -fas_levels_snes_type newtonls -fas_levels_pc_type none -fas_levels_ksp_type preonly -fas_levels_snes_monitor_short -dm_plex_simplex 0 -dm_plex_convert_type p4est -dm_forest_minimum_refinement 0 -dm_forest_initial_refinement 2 1462 1463 test: 1464 suffix: p4est_exact_q2_conformal_parallel_parmetis 1465 requires: parmetis p4est !single 1466 nsize: 4 1467 args: -run_type exact -petscspace_degree 2 -fas_levels_snes_linesearch_type basic -fas_levels_snes_atol 1.e-10 -snes_max_it 1 -snes_type fas -snes_fas_levels 3 -fas_coarse_snes_converged_reason -fas_coarse_pc_type none -fas_coarse_ksp_type preonly -fas_coarse_snes_monitor_short -snes_monitor_short -fas_coarse_snes_linesearch_type basic -snes_converged_reason ::ascii_info_detail -snes_view -fas_levels_snes_type newtonls -fas_levels_pc_type none -fas_levels_ksp_type preonly -fas_levels_snes_monitor_short -dm_plex_simplex 0 -dm_plex_convert_type p4est -dm_forest_minimum_refinement 0 -dm_forest_initial_refinement 2 -petscpartitioner_type parmetis 1468 1469 test: 1470 suffix: p4est_exact_q2_nonconformal_serial 1471 requires: p4est 1472 args: -run_type exact -petscspace_degree 2 -fas_levels_snes_atol 1.e-10 -snes_max_it 1 -snes_type fas -snes_fas_levels 3 -fas_coarse_pc_type none -fas_coarse_ksp_type preonly -fas_coarse_snes_monitor_short -snes_monitor_short -fas_coarse_snes_linesearch_type basic -snes_converged_reason ::ascii_info_detail -snes_view -fas_levels_snes_type newtonls -fas_levels_pc_type none -fas_levels_ksp_type preonly -fas_levels_snes_monitor_short -dm_plex_simplex 0 -dm_plex_convert_type p4est -dm_forest_minimum_refinement 0 -dm_forest_initial_refinement 2 -dm_forest_maximum_refinement 4 -dm_p4est_refine_pattern hash 1473 1474 test: 1475 suffix: p4est_exact_q2_nonconformal_parallel 1476 requires: p4est 1477 nsize: 7 1478 args: -run_type exact -petscspace_degree 2 -fas_levels_snes_atol 1.e-10 -snes_max_it 1 -snes_type fas -snes_fas_levels 3 -fas_coarse_pc_type none -fas_coarse_ksp_type preonly -fas_coarse_snes_monitor_short -snes_monitor_short -fas_coarse_snes_linesearch_type basic -snes_converged_reason ::ascii_info_detail -snes_view -fas_levels_snes_type newtonls -fas_levels_pc_type none -fas_levels_ksp_type preonly -fas_levels_snes_monitor_short -dm_plex_simplex 0 -dm_plex_convert_type p4est -dm_forest_minimum_refinement 0 -dm_forest_initial_refinement 2 -dm_forest_maximum_refinement 4 -dm_p4est_refine_pattern hash -petscpartitioner_type simple 1479 1480 test: 1481 suffix: p4est_exact_q2_nonconformal_parallel_parmetis 1482 requires: parmetis p4est 1483 nsize: 4 1484 args: -run_type exact -petscspace_degree 2 -fas_levels_snes_atol 1.e-10 -snes_max_it 1 -snes_type fas -snes_fas_levels 3 -fas_coarse_pc_type none -fas_coarse_ksp_type preonly -fas_coarse_snes_monitor_short -snes_monitor_short -fas_coarse_snes_linesearch_type basic -snes_converged_reason ::ascii_info_detail -snes_view -fas_levels_snes_type newtonls -fas_levels_pc_type none -fas_levels_ksp_type preonly -fas_levels_snes_monitor_short -dm_plex_simplex 0 -dm_plex_convert_type p4est -dm_forest_minimum_refinement 0 -dm_forest_initial_refinement 2 -dm_forest_maximum_refinement 4 -dm_p4est_refine_pattern hash -petscpartitioner_type parmetis 1485 1486 test: 1487 suffix: p4est_full_q2_nonconformal_serial 1488 requires: p4est !single 1489 filter: grep -v "variant HERMITIAN" 1490 args: -run_type full -petscspace_degree 2 -snes_max_it 20 -snes_type fas -snes_fas_levels 3 -fas_coarse_pc_type jacobi -fas_coarse_ksp_type cg -fas_coarse_snes_monitor_short -snes_monitor_short -fas_coarse_snes_linesearch_type basic -snes_converged_reason ::ascii_info_detail -snes_view -fas_levels_snes_type newtonls -fas_levels_pc_type jacobi -fas_levels_ksp_type cg -fas_levels_snes_monitor_short -dm_plex_simplex 0 -dm_plex_convert_type p4est -dm_forest_minimum_refinement 0 -dm_forest_initial_refinement 2 -dm_forest_maximum_refinement 4 -dm_p4est_refine_pattern hash 1491 1492 test: 1493 suffix: p4est_full_q2_nonconformal_parallel 1494 requires: p4est !single 1495 filter: grep -v "variant HERMITIAN" 1496 nsize: 7 1497 args: -run_type full -petscspace_degree 2 -snes_max_it 20 -snes_type fas -snes_fas_levels 3 -fas_coarse_pc_type jacobi -fas_coarse_ksp_type cg -fas_coarse_snes_monitor_short -snes_monitor_short -fas_coarse_snes_linesearch_type basic -snes_converged_reason ::ascii_info_detail -snes_view -fas_levels_snes_type newtonls -fas_levels_pc_type jacobi -fas_levels_ksp_type cg -fas_levels_snes_monitor_short -dm_plex_simplex 0 -dm_plex_convert_type p4est -dm_forest_minimum_refinement 0 -dm_forest_initial_refinement 2 -dm_forest_maximum_refinement 4 -dm_p4est_refine_pattern hash -petscpartitioner_type simple 1498 1499 test: 1500 suffix: p4est_full_q2_nonconformal_parallel_bddcfas 1501 requires: p4est !single 1502 filter: grep -v "variant HERMITIAN" 1503 nsize: 7 1504 args: -run_type full -petscspace_degree 2 -snes_max_it 20 -snes_type fas -snes_fas_levels 3 -dm_mat_type is -fas_coarse_pc_type bddc -fas_coarse_ksp_type cg -fas_coarse_snes_monitor_short -snes_monitor_short -fas_coarse_snes_linesearch_type basic -snes_converged_reason ::ascii_info_detail -snes_view -fas_levels_snes_type newtonls -fas_levels_pc_type bddc -fas_levels_ksp_type cg -fas_levels_snes_monitor_short -dm_plex_simplex 0 -dm_plex_convert_type p4est -dm_forest_minimum_refinement 0 -dm_forest_initial_refinement 2 -dm_forest_maximum_refinement 4 -dm_p4est_refine_pattern hash -petscpartitioner_type simple 1505 1506 test: 1507 suffix: p4est_full_q2_nonconformal_parallel_bddc 1508 requires: p4est !single 1509 filter: grep -v "variant HERMITIAN" 1510 nsize: 7 1511 args: -run_type full -petscspace_degree 2 -snes_max_it 20 -snes_type newtonls -dm_mat_type is -pc_type bddc -ksp_type cg -snes_monitor_short -snes_linesearch_type basic -snes_converged_reason ::ascii_info_detail -snes_view -dm_plex_simplex 0 -dm_plex_convert_type p4est -dm_forest_minimum_refinement 0 -dm_forest_initial_refinement 2 -dm_forest_maximum_refinement 4 -dm_p4est_refine_pattern hash -petscpartitioner_type simple 1512 1513 test: 1514 TODO: broken 1515 suffix: p4est_fas_q2_conformal_serial 1516 requires: p4est !complex !__float128 1517 args: -run_type full -variable_coefficient nonlinear -petscspace_degree 2 -snes_max_it 20 -snes_type fas -snes_fas_levels 3 -pc_type jacobi -ksp_type gmres -fas_coarse_pc_type svd -fas_coarse_ksp_type gmres -fas_coarse_snes_monitor_short -snes_monitor_short -fas_coarse_snes_linesearch_type basic -snes_converged_reason ::ascii_info_detail -snes_view -fas_levels_snes_type newtonls -fas_levels_pc_type svd -fas_levels_ksp_type gmres -fas_levels_snes_monitor_short -dm_plex_simplex 0 -dm_refine_hierarchy 3 1518 1519 test: 1520 TODO: broken 1521 suffix: p4est_fas_q2_nonconformal_serial 1522 requires: p4est 1523 args: -run_type full -variable_coefficient nonlinear -petscspace_degree 2 -snes_max_it 20 -snes_type fas -snes_fas_levels 3 -pc_type jacobi -ksp_type gmres -fas_coarse_pc_type jacobi -fas_coarse_ksp_type gmres -fas_coarse_ksp_monitor_true_residual -fas_coarse_snes_monitor_short -snes_monitor_short -fas_coarse_snes_linesearch_type basic -snes_converged_reason ::ascii_info_detail -snes_view -fas_levels_snes_type newtonls -fas_levels_pc_type jacobi -fas_levels_ksp_type gmres -fas_levels_snes_monitor_short -dm_plex_simplex 0 -dm_plex_convert_type p4est -dm_forest_minimum_refinement 0 -dm_forest_initial_refinement 2 -dm_forest_maximum_refinement 4 -dm_p4est_refine_pattern hash 1524 1525 test: 1526 suffix: fas_newton_0_p4est 1527 requires: p4est !single !__float128 1528 args: -run_type full -variable_coefficient nonlinear -petscspace_degree 1 -snes_type fas -snes_fas_levels 2 -fas_coarse_pc_type svd -fas_coarse_ksp_rtol 1.0e-10 -fas_coarse_snes_monitor_short -snes_monitor_short -fas_coarse_snes_linesearch_type basic -snes_converged_reason ::ascii_info_detail -snes_view -fas_levels_1_snes_type newtonls -fas_levels_1_pc_type svd -fas_levels_1_ksp_rtol 1.0e-10 -fas_levels_1_snes_monitor_short -dm_plex_simplex 0 -dm_plex_convert_type p4est -dm_forest_minimum_refinement 0 -dm_forest_initial_refinement 2 -dm_forest_maximum_refinement 4 -dm_p4est_refine_pattern hash 1529 1530 # Full solve simplicial AMR 1531 test: 1532 suffix: tri_p1_adapt_init_pragmatic 1533 requires: pragmatic 1534 args: -run_type exact -dm_refine 5 -bc_type dirichlet -petscspace_degree 1 -variable_coefficient ball -snes_converged_reason ::ascii_info_detail -pc_type lu -snes_adapt_initial 1 -adaptor_target_num 4000 -dm_plex_metric_h_max 0.5 -dm_adaptor pragmatic 1535 1536 test: 1537 suffix: tri_p2_adapt_init_pragmatic 1538 requires: pragmatic 1539 args: -run_type exact -dm_refine 5 -bc_type dirichlet -petscspace_degree 2 -variable_coefficient ball -snes_converged_reason ::ascii_info_detail -pc_type lu -snes_adapt_initial 1 -adaptor_target_num 4000 -dm_plex_metric_h_max 0.5 -dm_adaptor pragmatic 1540 1541 test: 1542 suffix: tri_p1_adapt_init_mmg 1543 requires: mmg 1544 args: -run_type exact -dm_refine 5 -bc_type dirichlet -petscspace_degree 1 -variable_coefficient ball -snes_converged_reason ::ascii_info_detail -pc_type lu -snes_adapt_initial 1 -adaptor_target_num 4000 -dm_plex_metric_h_max 0.5 -dm_adaptor mmg 1545 1546 test: 1547 suffix: tri_p2_adapt_init_mmg 1548 requires: mmg 1549 args: -run_type exact -dm_refine 5 -bc_type dirichlet -petscspace_degree 2 -variable_coefficient ball -snes_converged_reason ::ascii_info_detail -pc_type lu -snes_adapt_initial 1 -adaptor_target_num 4000 -dm_plex_metric_h_max 0.5 -dm_adaptor mmg 1550 1551 test: 1552 suffix: tri_p1_adapt_seq_pragmatic 1553 requires: pragmatic 1554 args: -run_type exact -dm_refine 5 -bc_type dirichlet -petscspace_degree 1 -variable_coefficient ball -snes_converged_reason ::ascii_info_detail -pc_type lu -snes_adapt_sequence 2 -adaptor_target_num 4000 -dm_plex_metric_h_max 0.5 -dm_adaptor pragmatic 1555 1556 test: 1557 suffix: tri_p2_adapt_seq_pragmatic 1558 requires: pragmatic 1559 args: -run_type exact -dm_refine 5 -bc_type dirichlet -petscspace_degree 2 -variable_coefficient ball -snes_converged_reason ::ascii_info_detail -pc_type lu -snes_adapt_sequence 2 -adaptor_target_num 4000 -dm_plex_metric_h_max 0.5 -dm_adaptor pragmatic 1560 1561 test: 1562 suffix: tri_p1_adapt_seq_mmg 1563 requires: mmg 1564 args: -run_type exact -dm_refine 5 -bc_type dirichlet -petscspace_degree 1 -variable_coefficient ball -snes_converged_reason ::ascii_info_detail -pc_type lu -snes_adapt_sequence 2 -adaptor_target_num 4000 -dm_plex_metric_h_max 0.5 -dm_adaptor mmg 1565 1566 test: 1567 suffix: tri_p2_adapt_seq_mmg 1568 requires: mmg 1569 args: -run_type exact -dm_refine 5 -bc_type dirichlet -petscspace_degree 2 -variable_coefficient ball -snes_converged_reason ::ascii_info_detail -pc_type lu -snes_adapt_sequence 2 -adaptor_target_num 4000 -dm_plex_metric_h_max 0.5 -dm_adaptor mmg 1570 1571 test: 1572 suffix: tri_p1_adapt_analytic_pragmatic 1573 requires: pragmatic 1574 args: -run_type exact -dm_refine 3 -bc_type dirichlet -petscspace_degree 1 -variable_coefficient cross -snes_adapt_initial 4 -adaptor_target_num 500 -adaptor_monitor -dm_plex_metric_h_min 0.0001 -dm_plex_metric_h_max 0.05 -dm_adaptor pragmatic 1575 1576 test: 1577 suffix: tri_p2_adapt_analytic_pragmatic 1578 requires: pragmatic 1579 args: -run_type exact -dm_refine 3 -bc_type dirichlet -petscspace_degree 2 -variable_coefficient cross -snes_adapt_initial 4 -adaptor_target_num 500 -adaptor_monitor -dm_plex_metric_h_min 0.0001 -dm_plex_metric_h_max 0.05 -dm_adaptor pragmatic 1580 1581 test: 1582 suffix: tri_p1_adapt_analytic_mmg 1583 requires: mmg 1584 args: -run_type exact -dm_refine 3 -bc_type dirichlet -petscspace_degree 1 -variable_coefficient cross -snes_adapt_initial 4 -adaptor_target_num 500 -adaptor_monitor -dm_plex_metric_h_max 0.5 -dm_adaptor mmg 1585 1586 test: 1587 suffix: tri_p2_adapt_analytic_mmg 1588 requires: mmg 1589 args: -run_type exact -dm_refine 3 -bc_type dirichlet -petscspace_degree 2 -variable_coefficient cross -snes_adapt_initial 4 -adaptor_target_num 500 -adaptor_monitor -dm_plex_metric_h_max 0.5 -dm_adaptor mmg 1590 1591 test: 1592 suffix: tri_p1_adapt_uniform_pragmatic 1593 requires: pragmatic tetgen 1594 nsize: 2 1595 args: -run_type full -dm_plex_box_faces 8,8,8 -bc_type dirichlet -petscspace_degree 1 -variable_coefficient none -snes_converged_reason ::ascii_info_detail -ksp_type cg -pc_type sor -snes_adapt_sequence 3 -adaptor_target_num 400 -dm_plex_metric_h_max 0.5 -dm_plex_dim 3 -dm_adaptor pragmatic 1596 timeoutfactor: 2 1597 1598 test: 1599 suffix: tri_p2_adapt_uniform_pragmatic 1600 requires: pragmatic tetgen 1601 nsize: 2 1602 args: -run_type full -dm_plex_box_faces 8,8,8 -bc_type dirichlet -petscspace_degree 2 -variable_coefficient none -snes_converged_reason ::ascii_info_detail -ksp_type cg -pc_type sor -snes_adapt_sequence 1 -adaptor_target_num 400 -dm_plex_metric_h_max 0.5 -dm_plex_dim 3 -dm_adaptor pragmatic 1603 timeoutfactor: 1 1604 1605 test: 1606 suffix: tri_p1_adapt_uniform_mmg 1607 requires: mmg tetgen 1608 args: -run_type full -dm_plex_box_faces 4,4,4 -bc_type dirichlet -petscspace_degree 1 -variable_coefficient none -snes_converged_reason ::ascii_info_detail -ksp_type cg -pc_type sor -snes_adapt_sequence 3 -adaptor_target_num 400 -dm_plex_metric_h_max 0.5 -dm_plex_dim 3 -dm_adaptor mmg 1609 timeoutfactor: 2 1610 1611 test: 1612 suffix: tri_p2_adapt_uniform_mmg 1613 requires: mmg tetgen broken 1614 args: -run_type full -dm_plex_box_faces 4,4,4 -bc_type dirichlet -petscspace_degree 2 -variable_coefficient none -snes_converged_reason ::ascii_info_detail -ksp_type cg -pc_type sor -snes_adapt_sequence 1 -adaptor_target_num 400 -dm_plex_metric_h_max 0.5 -dm_plex_dim 3 -dm_adaptor mmg 1615 timeoutfactor: 1 1616 1617 test: 1618 suffix: tri_p1_adapt_uniform_parmmg 1619 requires: parmmg tetgen 1620 nsize: 2 1621 args: -run_type full -dm_plex_box_faces 8,8,8 -bc_type dirichlet -petscspace_degree 1 -variable_coefficient none -snes_converged_reason ::ascii_info_detail -ksp_type cg -pc_type sor -snes_adapt_sequence 3 -adaptor_target_num 400 -dm_plex_metric_h_max 0.5 -dm_plex_dim 3 -dm_adaptor parmmg 1622 timeoutfactor: 2 1623 1624 test: 1625 suffix: tri_p2_adapt_uniform_parmmg 1626 requires: parmmg tetgen 1627 nsize: 2 1628 args: -run_type full -dm_plex_box_faces 8,8,8 -bc_type dirichlet -petscspace_degree 2 -variable_coefficient none -snes_converged_reason ::ascii_info_detail -ksp_type cg -pc_type sor -snes_adapt_sequence 1 -adaptor_target_num 400 -dm_plex_metric_h_max 0.5 -dm_plex_dim 3 -dm_adaptor parmmg 1629 timeoutfactor: 1 1630 1631 # Full solve tensor AMR 1632 test: 1633 suffix: quad_q1_adapt_0 1634 requires: p4est 1635 args: -run_type exact -dm_plex_simplex 0 -dm_plex_convert_type p4est -bc_type dirichlet -petscspace_degree 1 -variable_coefficient ball -snes_converged_reason ::ascii_info_detail -pc_type lu -dm_forest_initial_refinement 4 -snes_adapt_initial 1 -dm_view 1636 filter: grep -v DM_ 1637 1638 test: 1639 suffix: amr_0 1640 nsize: 5 1641 args: -run_type test -petscpartitioner_type simple -dm_plex_simplex 0 -bc_type dirichlet -petscspace_degree 1 -dm_refine 1 1642 1643 test: 1644 suffix: amr_1 1645 requires: p4est !complex 1646 args: -run_type test -dm_plex_simplex 0 -bc_type dirichlet -petscspace_degree 1 -dm_plex_convert_type p4est -dm_p4est_refine_pattern center -dm_forest_maximum_refinement 5 -dm_view vtk:amr.vtu:vtk_vtu -vec_view vtk:amr.vtu:vtk_vtu:append 1647 1648 test: 1649 suffix: p4est_solve_bddc 1650 requires: p4est !complex 1651 args: -run_type full -variable_coefficient nonlinear -nonzero_initial_guess 1 -petscspace_degree 2 -snes_max_it 20 -snes_type newtonls -dm_mat_type is -pc_type bddc -ksp_type cg -snes_monitor_short -ksp_monitor -snes_linesearch_type bt -snes_converged_reason -snes_view -dm_plex_simplex 0 -petscspace_poly_tensor -dm_plex_convert_type p4est -dm_forest_minimum_refinement 0 -dm_forest_initial_refinement 2 -dm_forest_maximum_refinement 4 -dm_p4est_refine_pattern hash -petscpartitioner_type simple -pc_bddc_detect_disconnected 1652 nsize: 4 1653 1654 test: 1655 suffix: p4est_solve_fas 1656 requires: p4est 1657 args: -run_type full -variable_coefficient nonlinear -nonzero_initial_guess 1 -petscspace_degree 2 -snes_max_it 10 -snes_type fas -snes_linesearch_type bt -snes_fas_levels 3 -fas_coarse_snes_type newtonls -fas_coarse_snes_linesearch_type basic -fas_coarse_ksp_type cg -fas_coarse_pc_type jacobi -fas_coarse_snes_monitor_short -fas_levels_snes_max_it 4 -fas_levels_snes_type newtonls -fas_levels_snes_linesearch_type bt -fas_levels_ksp_type cg -fas_levels_pc_type jacobi -fas_levels_snes_monitor_short -fas_levels_cycle_snes_linesearch_type bt -snes_monitor_short -snes_converged_reason -snes_view -dm_plex_simplex 0 -petscspace_poly_tensor -dm_plex_convert_type p4est -dm_forest_minimum_refinement 0 -dm_forest_initial_refinement 2 -dm_forest_maximum_refinement 4 -dm_p4est_refine_pattern hash 1658 nsize: 4 1659 TODO: identical machine two runs produce slightly different solver trackers 1660 1661 test: 1662 suffix: p4est_convergence_test_1 1663 requires: p4est 1664 args: -quiet -run_type test -petscspace_degree 1 -dm_plex_simplex 0 -petscspace_poly_tensor -dm_plex_convert_type p4est -dm_forest_minimum_refinement 2 -dm_forest_initial_refinement 2 -dm_forest_maximum_refinement 4 -dm_p4est_refine_pattern hash 1665 nsize: 4 1666 1667 test: 1668 suffix: p4est_convergence_test_2 1669 requires: p4est 1670 args: -quiet -run_type test -petscspace_degree 1 -dm_plex_simplex 0 -petscspace_poly_tensor -dm_plex_convert_type p4est -dm_forest_minimum_refinement 3 -dm_forest_initial_refinement 3 -dm_forest_maximum_refinement 5 -dm_p4est_refine_pattern hash 1671 1672 test: 1673 suffix: p4est_convergence_test_3 1674 requires: p4est 1675 args: -quiet -run_type test -petscspace_degree 1 -dm_plex_simplex 0 -petscspace_poly_tensor -dm_plex_convert_type p4est -dm_forest_minimum_refinement 4 -dm_forest_initial_refinement 4 -dm_forest_maximum_refinement 6 -dm_p4est_refine_pattern hash 1676 1677 test: 1678 suffix: p4est_convergence_test_4 1679 requires: p4est 1680 args: -quiet -run_type test -petscspace_degree 1 -dm_plex_simplex 0 -petscspace_poly_tensor -dm_plex_convert_type p4est -dm_forest_minimum_refinement 5 -dm_forest_initial_refinement 5 -dm_forest_maximum_refinement 7 -dm_p4est_refine_pattern hash 1681 timeoutfactor: 5 1682 1683 # Serial tests with GLVis visualization 1684 test: 1685 suffix: glvis_2d_tet_p1 1686 args: -quiet -run_type test -bc_type dirichlet -petscspace_degree 1 -vec_view glvis: -dm_plex_filename ${wPETSC_DIR}/share/petsc/datafiles/meshes/square_periodic.msh -dm_plex_boundary_label marker -dm_plex_gmsh_periodic 0 -dm_coord_space 0 1687 test: 1688 suffix: glvis_2d_tet_p2 1689 args: -quiet -run_type test -bc_type dirichlet -petscspace_degree 2 -vec_view glvis: -dm_plex_filename ${wPETSC_DIR}/share/petsc/datafiles/meshes/square_periodic.msh -dm_plex_boundary_label marker -dm_plex_gmsh_periodic 0 -dm_coord_space 0 1690 test: 1691 suffix: glvis_2d_hex_p1 1692 args: -quiet -run_type test -bc_type dirichlet -petscspace_degree 1 -vec_view glvis: -dm_plex_simplex 0 -dm_refine 1 -dm_coord_space 0 1693 test: 1694 suffix: glvis_2d_hex_p2 1695 args: -quiet -run_type test -bc_type dirichlet -petscspace_degree 2 -vec_view glvis: -dm_plex_simplex 0 -dm_refine 1 -dm_coord_space 0 1696 test: 1697 suffix: glvis_2d_hex_p2_p4est 1698 requires: p4est 1699 args: -quiet -run_type test -bc_type dirichlet -petscspace_degree 2 -vec_view glvis: -dm_plex_simplex 0 -dm_plex_convert_type p4est -dm_forest_minimum_refinement 0 -dm_forest_initial_refinement 1 -dm_forest_maximum_refinement 4 -dm_p4est_refine_pattern hash -viewer_glvis_dm_plex_enable_ncmesh 1700 test: 1701 suffix: glvis_2d_tet_p0 1702 args: -run_type exact -guess_vec_view glvis: -nonzero_initial_guess 1 -dm_plex_filename ${wPETSC_DIR}/share/petsc/datafiles/meshes/square_periodic.msh -dm_plex_boundary_label marker -petscspace_degree 0 -dm_coord_space 0 -pc_type jacobi 1703 test: 1704 suffix: glvis_2d_hex_p0 1705 args: -run_type exact -guess_vec_view glvis: -nonzero_initial_guess 1 -dm_plex_box_faces 5,7 -dm_plex_simplex 0 -petscspace_degree 0 -dm_coord_space 0 -pc_type jacobi 1706 1707 # PCHPDDM tests 1708 testset: 1709 nsize: 4 1710 requires: hpddm slepc !single defined(PETSC_HAVE_DYNAMIC_LIBRARIES) defined(PETSC_USE_SHARED_LIBRARIES) 1711 args: -run_type test -run_test_check_ksp -quiet -petscspace_degree 1 -petscpartitioner_type simple -bc_type none -dm_plex_simplex 0 -pc_type hpddm -pc_hpddm_levels_1_sub_pc_type lu -pc_hpddm_levels_1_eps_nev 2 -pc_hpddm_coarse_p 1 -pc_hpddm_coarse_pc_type svd -ksp_rtol 1.e-10 -pc_hpddm_levels_1_st_pc_factor_shift_type INBLOCKS -ksp_converged_reason 1712 test: 1713 suffix: quad_singular_hpddm 1714 args: -dm_plex_box_faces 6,7 1715 test: 1716 requires: p4est 1717 suffix: p4est_singular_2d_hpddm 1718 args: -dm_plex_convert_type p4est -dm_forest_minimum_refinement 1 -dm_forest_initial_refinement 3 -dm_forest_maximum_refinement 3 1719 test: 1720 requires: p4est 1721 suffix: p4est_nc_singular_2d_hpddm 1722 args: -dm_plex_convert_type p4est -dm_forest_minimum_refinement 1 -dm_forest_initial_refinement 1 -dm_forest_maximum_refinement 3 -dm_p4est_refine_pattern hash 1723 testset: 1724 nsize: 4 1725 requires: hpddm slepc triangle !single defined(PETSC_HAVE_DYNAMIC_LIBRARIES) defined(PETSC_USE_SHARED_LIBRARIES) 1726 args: -run_type full -petscpartitioner_type simple -dm_refine 2 -bc_type dirichlet -petscspace_degree 2 -ksp_type gmres -ksp_gmres_restart 100 -pc_type hpddm -snes_monitor_short -ksp_monitor_short -snes_converged_reason ::ascii_info_detail -ksp_converged_reason -snes_view -show_solution 0 -pc_type hpddm -pc_hpddm_levels_1_sub_pc_type lu -pc_hpddm_levels_1_eps_nev 4 -pc_hpddm_coarse_p 2 -pc_hpddm_coarse_pc_type redundant -ksp_rtol 1.e-1 1727 test: 1728 args: -pc_hpddm_coarse_mat_type baij -options_left no 1729 suffix: tri_hpddm_reuse_baij 1730 test: 1731 requires: !complex 1732 suffix: tri_hpddm_reuse 1733 testset: 1734 nsize: 4 1735 requires: hpddm slepc !single defined(PETSC_HAVE_DYNAMIC_LIBRARIES) defined(PETSC_USE_SHARED_LIBRARIES) 1736 args: -run_type full -petscpartitioner_type simple -dm_plex_box_faces 7,5 -dm_refine 2 -dm_plex_simplex 0 -bc_type dirichlet -petscspace_degree 2 -ksp_type gmres -ksp_gmres_restart 100 -pc_type hpddm -snes_monitor_short -ksp_monitor_short -snes_converged_reason ::ascii_info_detail -ksp_converged_reason -snes_view -show_solution 0 -pc_type hpddm -pc_hpddm_levels_1_sub_pc_type lu -pc_hpddm_levels_1_eps_nev 4 -pc_hpddm_coarse_p 2 -pc_hpddm_coarse_pc_type redundant -ksp_rtol 1.e-1 1737 test: 1738 args: -pc_hpddm_coarse_mat_type baij -options_left no 1739 suffix: quad_hpddm_reuse_baij 1740 test: 1741 requires: !complex 1742 suffix: quad_hpddm_reuse 1743 testset: 1744 nsize: 4 1745 requires: hpddm slepc !single defined(PETSC_HAVE_DYNAMIC_LIBRARIES) defined(PETSC_USE_SHARED_LIBRARIES) 1746 args: -run_type full -petscpartitioner_type simple -dm_plex_box_faces 7,5 -dm_refine 2 -dm_plex_simplex 0 -bc_type dirichlet -petscspace_degree 1 -ksp_type gmres -ksp_gmres_restart 100 -pc_type hpddm -snes_monitor_short -ksp_monitor_short -snes_converged_reason ::ascii_info_detail -ksp_converged_reason -snes_view -show_solution 0 -pc_type hpddm -pc_hpddm_levels_1_sub_pc_type lu -pc_hpddm_levels_1_eps_threshold 0.1 -pc_hpddm_coarse_p 2 -pc_hpddm_coarse_pc_type redundant -ksp_rtol 1.e-1 1747 test: 1748 args: -pc_hpddm_coarse_mat_type baij -options_left no 1749 suffix: quad_hpddm_reuse_threshold_baij 1750 test: 1751 requires: !complex 1752 suffix: quad_hpddm_reuse_threshold 1753 testset: 1754 nsize: 4 1755 requires: hpddm slepc parmetis !single defined(PETSC_HAVE_DYNAMIC_LIBRARIES) defined(PETSC_USE_SHARED_LIBRARIES) 1756 filter: sed -e "s/linear solver iterations=17/linear solver iterations=16/g" 1757 args: -run_type full -petscpartitioner_type parmetis -dm_refine 3 -bc_type dirichlet -petscspace_degree 1 -ksp_type gmres -ksp_gmres_restart 100 -pc_type hpddm -snes_monitor_short -snes_converged_reason ::ascii_info_detail -snes_view -show_solution 0 -pc_type hpddm -pc_hpddm_levels_1_sub_pc_type icc -pc_hpddm_levels_1_eps_nev 20 -pc_hpddm_coarse_p 2 -pc_hpddm_coarse_pc_type redundant -ksp_rtol 1.e-10 -dm_plex_filename ${PETSC_DIR}/share/petsc/datafiles/meshes/square_periodic.msh -dm_plex_boundary_label marker -pc_hpddm_levels_1_sub_pc_factor_levels 3 -variable_coefficient ball -dm_plex_gmsh_periodic 0 -fp_trap 0 1758 test: 1759 args: -pc_hpddm_coarse_mat_type baij -options_left no 1760 filter: grep -v " total: nonzeros=" | grep -v " rows=" | sed -e "s/total number of linear solver iterations=[1-2][4-7]/total number of linear solver iterations=16/g" 1761 suffix: tri_parmetis_hpddm_baij 1762 test: 1763 filter: grep -v " total: nonzeros=" | grep -v " rows=" | sed -e "s/total number of linear solver iterations=[1-2][4-7]/total number of linear solver iterations=16/g" 1764 requires: !complex 1765 suffix: tri_parmetis_hpddm 1766 1767 # 2D serial P1 tests for adaptive MG 1768 test: 1769 suffix: 2d_p1_adaptmg_0 1770 requires: triangle 1771 args: -petscpartitioner_type simple -dm_refine_hierarchy 3 -dm_plex_box_faces 4,4 -bc_type dirichlet -petscspace_degree 1 \ 1772 -variable_coefficient checkerboard_0 -mat_petscspace_degree 0 -div 16 -k 3 \ 1773 -snes_max_it 1 -ksp_converged_reason \ 1774 -ksp_rtol 1e-8 -pc_type mg 1775 test: 1776 suffix: 2d_p1_adaptmg_1 1777 requires: triangle bamg todo 1778 args: -petscpartitioner_type simple -dm_refine_hierarchy 3 -dm_plex_box_faces 4,4 -bc_type dirichlet -petscspace_degree 1 \ 1779 -variable_coefficient checkerboard_0 -mat_petscspace_degree 0 -div 16 -k 3 \ 1780 -snes_max_it 1 -ksp_converged_reason \ 1781 -ksp_rtol 1e-8 -pc_type mg -pc_mg_galerkin -pc_mg_adapt_interp_coarse_space eigenvector -pc_mg_adapt_interp_n 1 \ 1782 -pc_mg_mesp_ksp_type richardson -pc_mg_mesp_ksp_richardson_self_scale -pc_mg_mesp_ksp_max_it 100 -pc_mg_mesp_pc_type none 1783 test: 1784 suffix: 2d_p1_adaptmg_gdsw 1785 requires: triangle 1786 nsize: 4 1787 args: -petscpartitioner_type simple -dm_refine 3 -dm_plex_box_faces 4,4 -bc_type dirichlet -petscspace_degree 1 \ 1788 -variable_coefficient checkerboard_0 -mat_petscspace_degree 0 -div 16 -k 3 \ 1789 -snes_max_it 1 -ksp_converged_reason \ 1790 -ksp_rtol 1e-8 -pc_type mg -pc_mg_galerkin -pc_mg_adapt_interp_coarse_space gdsw -pc_mg_levels 2 -mg_levels_pc_type asm -dm_mat_type {{aij is}} 1791 1792 test: 1793 suffix: 2d_p1_adaptmg_agdsw 1794 requires: triangle mumps 1795 nsize: 4 1796 args: -petscpartitioner_type simple -dm_refine 3 -dm_plex_box_faces 4,4 -bc_type dirichlet -petscspace_degree 1 \ 1797 -variable_coefficient checkerboard_0 -mat_petscspace_degree 0 -div 16 -k 3 \ 1798 -snes_max_it 1 -ksp_converged_reason \ 1799 -ksp_rtol 1e-8 -pc_type mg -pc_mg_galerkin -pc_mg_adapt_interp_coarse_space gdsw -pc_mg_levels 2 -mg_levels_pc_type asm -dm_mat_type is -mg_levels_gdsw_tolerance 0.1 -mg_levels_gdsw_pseudo_pc_type qr 1800 1801 test: 1802 suffix: p4est_2d_asm 1803 requires: p4est 1804 nsize: 4 1805 args: -run_type test -run_test_check_ksp -quiet -petscspace_degree 1 -petscpartitioner_type simple -bc_type none -dm_plex_simplex 0 \ 1806 -pc_type asm -ksp_converged_reason -dm_plex_convert_type p4est -dm_forest_minimum_refinement 1 -dm_forest_initial_refinement 3 -dm_forest_maximum_refinement 5 \ 1807 -pc_asm_dm_subdomains -dm_p4est_refine_pattern hash -dm_plex_dd_overlap 1 -sub_pc_type lu 1808 1809 TEST*/ 1810