1 #include <petsc/private/petscfeimpl.h> /*I "petscfe.h" I*/ 2 #include <petscdmplex.h> 3 #include <petscblaslapack.h> 4 5 PetscErrorCode DMPlexGetTransitiveClosure_Internal(DM, PetscInt, PetscInt, PetscBool, PetscInt *, PetscInt *[]); 6 7 struct _n_Petsc1DNodeFamily 8 { 9 PetscInt refct; 10 PetscDTNodeType nodeFamily; 11 PetscReal gaussJacobiExp; 12 PetscInt nComputed; 13 PetscReal **nodesets; 14 PetscBool endpoints; 15 }; 16 17 /* users set node families for PETSCDUALSPACELAGRANGE with just the inputs to this function, but internally we create 18 * an object that can cache the computations across multiple dual spaces */ 19 static PetscErrorCode Petsc1DNodeFamilyCreate(PetscDTNodeType family, PetscReal gaussJacobiExp, PetscBool endpoints, Petsc1DNodeFamily *nf) 20 { 21 Petsc1DNodeFamily f; 22 PetscErrorCode ierr; 23 24 PetscFunctionBegin; 25 ierr = PetscNew(&f);CHKERRQ(ierr); 26 switch (family) { 27 case PETSCDTNODES_GAUSSJACOBI: 28 case PETSCDTNODES_EQUISPACED: 29 f->nodeFamily = family; 30 break; 31 default: SETERRQ(PETSC_COMM_SELF, PETSC_ERR_ARG_OUTOFRANGE, "Unknown 1D node family"); 32 } 33 f->endpoints = endpoints; 34 f->gaussJacobiExp = 0.; 35 if (family == PETSCDTNODES_GAUSSJACOBI) { 36 if (gaussJacobiExp <= -1.) SETERRQ(PETSC_COMM_SELF, PETSC_ERR_ARG_OUTOFRANGE, "Gauss-Jacobi exponent must be > -1.\n"); 37 f->gaussJacobiExp = gaussJacobiExp; 38 } 39 f->refct = 1; 40 *nf = f; 41 PetscFunctionReturn(0); 42 } 43 44 static PetscErrorCode Petsc1DNodeFamilyReference(Petsc1DNodeFamily nf) 45 { 46 PetscFunctionBegin; 47 if (nf) nf->refct++; 48 PetscFunctionReturn(0); 49 } 50 51 static PetscErrorCode Petsc1DNodeFamilyDestroy(Petsc1DNodeFamily *nf) { 52 PetscInt i, nc; 53 PetscErrorCode ierr; 54 55 PetscFunctionBegin; 56 if (!(*nf)) PetscFunctionReturn(0); 57 if (--(*nf)->refct > 0) { 58 *nf = NULL; 59 PetscFunctionReturn(0); 60 } 61 nc = (*nf)->nComputed; 62 for (i = 0; i < nc; i++) { 63 ierr = PetscFree((*nf)->nodesets[i]);CHKERRQ(ierr); 64 } 65 ierr = PetscFree((*nf)->nodesets);CHKERRQ(ierr); 66 ierr = PetscFree(*nf);CHKERRQ(ierr); 67 *nf = NULL; 68 PetscFunctionReturn(0); 69 } 70 71 static PetscErrorCode Petsc1DNodeFamilyGetNodeSets(Petsc1DNodeFamily f, PetscInt degree, PetscReal ***nodesets) 72 { 73 PetscInt nc; 74 PetscErrorCode ierr; 75 76 PetscFunctionBegin; 77 nc = f->nComputed; 78 if (degree >= nc) { 79 PetscInt i, j; 80 PetscReal **new_nodesets; 81 PetscReal *w; 82 83 ierr = PetscMalloc1(degree + 1, &new_nodesets);CHKERRQ(ierr); 84 ierr = PetscArraycpy(new_nodesets, f->nodesets, nc);CHKERRQ(ierr); 85 ierr = PetscFree(f->nodesets);CHKERRQ(ierr); 86 f->nodesets = new_nodesets; 87 ierr = PetscMalloc1(degree + 1, &w);CHKERRQ(ierr); 88 for (i = nc; i < degree + 1; i++) { 89 ierr = PetscMalloc1(i + 1, &(f->nodesets[i]));CHKERRQ(ierr); 90 if (!i) { 91 f->nodesets[i][0] = 0.5; 92 } else { 93 switch (f->nodeFamily) { 94 case PETSCDTNODES_EQUISPACED: 95 if (f->endpoints) { 96 for (j = 0; j <= i; j++) f->nodesets[i][j] = (PetscReal) j / (PetscReal) i; 97 } else { 98 /* these nodes are at the centroids of the small simplices created by the equispaced nodes that include 99 * the endpoints */ 100 for (j = 0; j <= i; j++) f->nodesets[i][j] = ((PetscReal) j + 0.5) / ((PetscReal) i + 1.); 101 } 102 break; 103 case PETSCDTNODES_GAUSSJACOBI: 104 if (f->endpoints) { 105 ierr = PetscDTGaussLobattoJacobiQuadrature(i + 1, 0., 1., f->gaussJacobiExp, f->gaussJacobiExp, f->nodesets[i], w);CHKERRQ(ierr); 106 } else { 107 ierr = PetscDTGaussJacobiQuadrature(i + 1, 0., 1., f->gaussJacobiExp, f->gaussJacobiExp, f->nodesets[i], w);CHKERRQ(ierr); 108 } 109 break; 110 default: SETERRQ(PETSC_COMM_SELF, PETSC_ERR_ARG_OUTOFRANGE, "Unknown 1D node family"); 111 } 112 } 113 } 114 ierr = PetscFree(w);CHKERRQ(ierr); 115 f->nComputed = degree + 1; 116 } 117 *nodesets = f->nodesets; 118 PetscFunctionReturn(0); 119 } 120 121 /* http://arxiv.org/abs/2002.09421 for details */ 122 static PetscErrorCode PetscNodeRecursive_Internal(PetscInt dim, PetscInt degree, PetscReal **nodesets, PetscInt tup[], PetscReal node[]) 123 { 124 PetscReal w; 125 PetscInt i, j; 126 PetscErrorCode ierr; 127 128 PetscFunctionBeginHot; 129 w = 0.; 130 if (dim == 1) { 131 node[0] = nodesets[degree][tup[0]]; 132 node[1] = nodesets[degree][tup[1]]; 133 } else { 134 for (i = 0; i < dim + 1; i++) node[i] = 0.; 135 for (i = 0; i < dim + 1; i++) { 136 PetscReal wi = nodesets[degree][degree-tup[i]]; 137 138 for (j = 0; j < dim+1; j++) tup[dim+1+j] = tup[j+(j>=i)]; 139 ierr = PetscNodeRecursive_Internal(dim-1,degree-tup[i],nodesets,&tup[dim+1],&node[dim+1]);CHKERRQ(ierr); 140 for (j = 0; j < dim+1; j++) node[j+(j>=i)] += wi * node[dim+1+j]; 141 w += wi; 142 } 143 for (i = 0; i < dim+1; i++) node[i] /= w; 144 } 145 PetscFunctionReturn(0); 146 } 147 148 /* compute simplex nodes for the biunit simplex from the 1D node family */ 149 static PetscErrorCode Petsc1DNodeFamilyComputeSimplexNodes(Petsc1DNodeFamily f, PetscInt dim, PetscInt degree, PetscReal points[]) 150 { 151 PetscInt *tup; 152 PetscInt k; 153 PetscInt npoints; 154 PetscReal **nodesets = NULL; 155 PetscInt worksize; 156 PetscReal *nodework; 157 PetscInt *tupwork; 158 PetscErrorCode ierr; 159 160 PetscFunctionBegin; 161 if (dim < 0) SETERRQ(PETSC_COMM_SELF, PETSC_ERR_ARG_OUTOFRANGE, "Must have non-negative dimension\n"); 162 if (degree < 0) SETERRQ(PETSC_COMM_SELF, PETSC_ERR_ARG_OUTOFRANGE, "Must have non-negative degree\n"); 163 if (!dim) PetscFunctionReturn(0); 164 ierr = PetscCalloc1(dim+2, &tup);CHKERRQ(ierr); 165 k = 0; 166 ierr = PetscDTBinomialInt(degree + dim, dim, &npoints);CHKERRQ(ierr); 167 ierr = Petsc1DNodeFamilyGetNodeSets(f, degree, &nodesets);CHKERRQ(ierr); 168 worksize = ((dim + 2) * (dim + 3)) / 2; 169 ierr = PetscMalloc2(worksize, &nodework, worksize, &tupwork);CHKERRQ(ierr); 170 /* loop over the tuples of length dim with sum at most degree */ 171 for (k = 0; k < npoints; k++) { 172 PetscInt i; 173 174 /* turn thm into tuples of length dim + 1 with sum equal to degree (barycentric indice) */ 175 tup[0] = degree; 176 for (i = 0; i < dim; i++) { 177 tup[0] -= tup[i+1]; 178 } 179 switch(f->nodeFamily) { 180 case PETSCDTNODES_EQUISPACED: 181 /* compute equispaces nodes on the unit reference triangle */ 182 if (f->endpoints) { 183 for (i = 0; i < dim; i++) { 184 points[dim*k + i] = (PetscReal) tup[i+1] / (PetscReal) degree; 185 } 186 } else { 187 for (i = 0; i < dim; i++) { 188 /* these nodes are at the centroids of the small simplices created by the equispaced nodes that include 189 * the endpoints */ 190 points[dim*k + i] = ((PetscReal) tup[i+1] + 1./(dim+1.)) / (PetscReal) (degree + 1.); 191 } 192 } 193 break; 194 default: 195 /* compute equispaces nodes on the barycentric reference triangle (the trace on the first dim dimensions are the 196 * unit reference triangle nodes */ 197 for (i = 0; i < dim + 1; i++) tupwork[i] = tup[i]; 198 ierr = PetscNodeRecursive_Internal(dim, degree, nodesets, tupwork, nodework);CHKERRQ(ierr); 199 for (i = 0; i < dim; i++) points[dim*k + i] = nodework[i + 1]; 200 break; 201 } 202 ierr = PetscDualSpaceLatticePointLexicographic_Internal(dim, degree, &tup[1]);CHKERRQ(ierr); 203 } 204 /* map from unit simplex to biunit simplex */ 205 for (k = 0; k < npoints * dim; k++) points[k] = points[k] * 2. - 1.; 206 ierr = PetscFree2(nodework, tupwork);CHKERRQ(ierr); 207 ierr = PetscFree(tup); 208 PetscFunctionReturn(0); 209 } 210 211 /* If we need to get the dofs from a mesh point, or add values into dofs at a mesh point, and there is more than one dof 212 * on that mesh point, we have to be careful about getting/adding everything in the right place. 213 * 214 * With nodal dofs like PETSCDUALSPACELAGRANGE makes, the general approach to calculate the value of dofs associate 215 * with a node A is 216 * - transform the node locations x(A) by the map that takes the mesh point to its reorientation, x' = phi(x(A)) 217 * - figure out which node was originally at the location of the transformed point, A' = idx(x') 218 * - if the dofs are not scalars, figure out how to represent the transformed dofs in terms of the basis 219 * of dofs at A' (using pushforward/pullback rules) 220 * 221 * The one sticky point with this approach is the "A' = idx(x')" step: trying to go from real valued coordinates 222 * back to indices. I don't want to rely on floating point tolerances. Additionally, PETSCDUALSPACELAGRANGE may 223 * eventually support quasi-Lagrangian dofs, which could involve quadrature at multiple points, so the location "x(A)" 224 * would be ambiguous. 225 * 226 * So each dof gets an integer value coordinate (nodeIdx in the structure below). The choice of integer coordinates 227 * is somewhat arbitrary, as long as all of the relevant symmetries of the mesh point correspond to *permutations* of 228 * the integer coordinates, which do not depend on numerical precision. 229 * 230 * So 231 * 232 * - DMPlexGetTransitiveClosure_Internal() tells me how an orientation turns into a permutation of the vertices of a 233 * mesh point 234 * - The permutation of the vertices, and the nodeIdx values assigned to them, tells what permutation in index space 235 * is associated with the orientation 236 * - I uses that permutation to get xi' = phi(xi(A)), the integer coordinate of the transformed dof 237 * - I can without numerical issues compute A' = idx(xi') 238 * 239 * Here are some examples of how the process works 240 * 241 * - With a triangle: 242 * 243 * The triangle has the following integer coordinates for vertices, taken from the barycentric triangle 244 * 245 * closure order 2 246 * nodeIdx (0,0,1) 247 * \ 248 * + 249 * |\ 250 * | \ 251 * | \ 252 * | \ closure order 1 253 * | \ / nodeIdx (0,1,0) 254 * +-----+ 255 * \ 256 * closure order 0 257 * nodeIdx (1,0,0) 258 * 259 * If I do DMPlexGetTransitiveClosure_Internal() with orientation 1, the vertices would appear 260 * in the order (1, 2, 0) 261 * 262 * If I list the nodeIdx of each vertex in closure order for orientation 0 (0, 1, 2) and orientation 1 (1, 2, 0), I 263 * see 264 * 265 * orientation 0 | orientation 1 266 * 267 * [0] (1,0,0) [1] (0,1,0) 268 * [1] (0,1,0) [2] (0,0,1) 269 * [2] (0,0,1) [0] (1,0,0) 270 * A B 271 * 272 * In other words, B is the result of a row permutation of A. But, there is also 273 * a column permutation that accomplishes the same result, (2,0,1). 274 * 275 * So if a dof has nodeIdx coordinate (a,b,c), after the transformation its nodeIdx coordinate 276 * is (c,a,b), and the transformed degree of freedom will be a linear combination of dofs 277 * that originally had coordinate (c,a,b). 278 * 279 * - With a quadrilateral: 280 * 281 * The quadrilateral has the following integer coordinates for vertices, taken from concatenating barycentric 282 * coordinates for two segments: 283 * 284 * closure order 3 closure order 2 285 * nodeIdx (1,0,0,1) nodeIdx (0,1,0,1) 286 * \ / 287 * +----+ 288 * | | 289 * | | 290 * +----+ 291 * / \ 292 * closure order 0 closure order 1 293 * nodeIdx (1,0,1,0) nodeIdx (0,1,1,0) 294 * 295 * If I do DMPlexGetTransitiveClosure_Internal() with orientation 1, the vertices would appear 296 * in the order (1, 2, 3, 0) 297 * 298 * If I list the nodeIdx of each vertex in closure order for orientation 0 (0, 1, 2, 3) and 299 * orientation 1 (1, 2, 3, 0), I see 300 * 301 * orientation 0 | orientation 1 302 * 303 * [0] (1,0,1,0) [1] (0,1,1,0) 304 * [1] (0,1,1,0) [2] (0,1,0,1) 305 * [2] (0,1,0,1) [3] (1,0,0,1) 306 * [3] (1,0,0,1) [0] (1,0,1,0) 307 * A B 308 * 309 * The column permutation that accomplishes the same result is (3,2,0,1). 310 * 311 * So if a dof has nodeIdx coordinate (a,b,c,d), after the transformation its nodeIdx coordinate 312 * is (d,c,a,b), and the transformed degree of freedom will be a linear combination of dofs 313 * that originally had coordinate (d,c,a,b). 314 * 315 * Previously PETSCDUALSPACELAGRANGE had hardcoded symmetries for the triangle and quadrilateral, 316 * but this approach will work for any polytope, such as the wedge (triangular prism). 317 */ 318 struct _n_PetscLagNodeIndices 319 { 320 PetscInt refct; 321 PetscInt nodeIdxDim; 322 PetscInt nodeVecDim; 323 PetscInt nNodes; 324 PetscInt *nodeIdx; /* for each node an index of size nodeIdxDim */ 325 PetscReal *nodeVec; /* for each node a vector of size nodeVecDim */ 326 PetscInt *perm; /* if these are vertices, perm takes DMPlex point index to closure order; 327 if these are nodes, perm lists nodes in index revlex order */ 328 }; 329 330 /* this is just here so I can access the values in tests/ex1.c outside the library */ 331 PetscErrorCode PetscLagNodeIndicesGetData_Internal(PetscLagNodeIndices ni, PetscInt *nodeIdxDim, PetscInt *nodeVecDim, PetscInt *nNodes, const PetscInt *nodeIdx[], const PetscReal *nodeVec[]) 332 { 333 PetscFunctionBegin; 334 *nodeIdxDim = ni->nodeIdxDim; 335 *nodeVecDim = ni->nodeVecDim; 336 *nNodes = ni->nNodes; 337 *nodeIdx = ni->nodeIdx; 338 *nodeVec = ni->nodeVec; 339 PetscFunctionReturn(0); 340 } 341 342 static PetscErrorCode PetscLagNodeIndicesReference(PetscLagNodeIndices ni) 343 { 344 PetscFunctionBegin; 345 if (ni) ni->refct++; 346 PetscFunctionReturn(0); 347 } 348 349 static PetscErrorCode PetscLagNodeIndicesDestroy(PetscLagNodeIndices *ni) { 350 PetscErrorCode ierr; 351 352 PetscFunctionBegin; 353 if (!(*ni)) PetscFunctionReturn(0); 354 if (--(*ni)->refct > 0) { 355 *ni = NULL; 356 PetscFunctionReturn(0); 357 } 358 ierr = PetscFree((*ni)->nodeIdx);CHKERRQ(ierr); 359 ierr = PetscFree((*ni)->nodeVec);CHKERRQ(ierr); 360 ierr = PetscFree((*ni)->perm);CHKERRQ(ierr); 361 ierr = PetscFree(*ni);CHKERRQ(ierr); 362 *ni = NULL; 363 PetscFunctionReturn(0); 364 } 365 366 /* The vertices are given nodeIdx coordinates (e.g. the corners of the barycentric triangle). Those coordinates are 367 * in some other order, and to understand the effect of different symmetries, we need them to be in closure order. 368 * 369 * If sortIdx is PETSC_FALSE, the coordinates are already in revlex order, otherwise we must sort them 370 * to that order before we do the real work of this function, which is 371 * 372 * - mark the vertices in closure order 373 * - sort them in revlex order 374 * - use the resulting permutation to list the vertex coordinates in closure order 375 */ 376 static PetscErrorCode PetscLagNodeIndicesComputeVertexOrder(DM dm, PetscLagNodeIndices ni, PetscBool sortIdx) 377 { 378 PetscInt v, w, vStart, vEnd, c, d; 379 PetscInt nVerts; 380 PetscInt closureSize = 0; 381 PetscInt *closure = NULL; 382 PetscInt *closureOrder; 383 PetscInt *invClosureOrder; 384 PetscInt *revlexOrder; 385 PetscInt *newNodeIdx; 386 PetscInt dim; 387 Vec coordVec; 388 const PetscScalar *coords; 389 PetscErrorCode ierr; 390 391 PetscFunctionBegin; 392 ierr = DMGetDimension(dm, &dim);CHKERRQ(ierr); 393 ierr = DMPlexGetDepthStratum(dm, 0, &vStart, &vEnd);CHKERRQ(ierr); 394 nVerts = vEnd - vStart; 395 ierr = PetscMalloc1(nVerts, &closureOrder);CHKERRQ(ierr); 396 ierr = PetscMalloc1(nVerts, &invClosureOrder);CHKERRQ(ierr); 397 ierr = PetscMalloc1(nVerts, &revlexOrder);CHKERRQ(ierr); 398 if (sortIdx) { /* bubble sort nodeIdx into revlex order */ 399 PetscInt nodeIdxDim = ni->nodeIdxDim; 400 PetscInt *idxOrder; 401 402 ierr = PetscMalloc1(nVerts * nodeIdxDim, &newNodeIdx);CHKERRQ(ierr); 403 ierr = PetscMalloc1(nVerts, &idxOrder);CHKERRQ(ierr); 404 for (v = 0; v < nVerts; v++) idxOrder[v] = v; 405 for (v = 0; v < nVerts; v++) { 406 for (w = v + 1; w < nVerts; w++) { 407 const PetscInt *iv = &(ni->nodeIdx[idxOrder[v] * nodeIdxDim]); 408 const PetscInt *iw = &(ni->nodeIdx[idxOrder[w] * nodeIdxDim]); 409 PetscInt diff = 0; 410 411 for (d = nodeIdxDim - 1; d >= 0; d--) if ((diff = (iv[d] - iw[d]))) break; 412 if (diff > 0) { 413 PetscInt swap = idxOrder[v]; 414 415 idxOrder[v] = idxOrder[w]; 416 idxOrder[w] = swap; 417 } 418 } 419 } 420 for (v = 0; v < nVerts; v++) { 421 for (d = 0; d < nodeIdxDim; d++) { 422 newNodeIdx[v * ni->nodeIdxDim + d] = ni->nodeIdx[idxOrder[v] * nodeIdxDim + d]; 423 } 424 } 425 ierr = PetscFree(ni->nodeIdx);CHKERRQ(ierr); 426 ni->nodeIdx = newNodeIdx; 427 newNodeIdx = NULL; 428 ierr = PetscFree(idxOrder);CHKERRQ(ierr); 429 } 430 ierr = DMPlexGetTransitiveClosure(dm, 0, PETSC_TRUE, &closureSize, &closure);CHKERRQ(ierr); 431 c = closureSize - nVerts; 432 for (v = 0; v < nVerts; v++) closureOrder[v] = closure[2 * (c + v)] - vStart; 433 for (v = 0; v < nVerts; v++) invClosureOrder[closureOrder[v]] = v; 434 ierr = DMPlexRestoreTransitiveClosure(dm, 0, PETSC_TRUE, &closureSize, &closure);CHKERRQ(ierr); 435 ierr = DMGetCoordinatesLocal(dm, &coordVec);CHKERRQ(ierr); 436 ierr = VecGetArrayRead(coordVec, &coords);CHKERRQ(ierr); 437 /* bubble sort closure vertices by coordinates in revlex order */ 438 for (v = 0; v < nVerts; v++) revlexOrder[v] = v; 439 for (v = 0; v < nVerts; v++) { 440 for (w = v + 1; w < nVerts; w++) { 441 const PetscScalar *cv = &coords[closureOrder[revlexOrder[v]] * dim]; 442 const PetscScalar *cw = &coords[closureOrder[revlexOrder[w]] * dim]; 443 PetscReal diff = 0; 444 445 for (d = dim - 1; d >= 0; d--) if ((diff = PetscRealPart(cv[d] - cw[d])) != 0.) break; 446 if (diff > 0.) { 447 PetscInt swap = revlexOrder[v]; 448 449 revlexOrder[v] = revlexOrder[w]; 450 revlexOrder[w] = swap; 451 } 452 } 453 } 454 ierr = VecRestoreArrayRead(coordVec, &coords);CHKERRQ(ierr); 455 ierr = PetscMalloc1(ni->nodeIdxDim * nVerts, &newNodeIdx);CHKERRQ(ierr); 456 /* reorder nodeIdx to be in closure order */ 457 for (v = 0; v < nVerts; v++) { 458 for (d = 0; d < ni->nodeIdxDim; d++) { 459 newNodeIdx[revlexOrder[v] * ni->nodeIdxDim + d] = ni->nodeIdx[v * ni->nodeIdxDim + d]; 460 } 461 } 462 ierr = PetscFree(ni->nodeIdx);CHKERRQ(ierr); 463 ni->nodeIdx = newNodeIdx; 464 ni->perm = invClosureOrder; 465 ierr = PetscFree(revlexOrder);CHKERRQ(ierr); 466 ierr = PetscFree(closureOrder);CHKERRQ(ierr); 467 PetscFunctionReturn(0); 468 } 469 470 /* the coordinates of the simplex vertices are the corners of the barycentric simplex. 471 * When we stack them on top of each other in revlex order, they look like the identity matrix */ 472 static PetscErrorCode PetscLagNodeIndicesCreateSimplexVertices(DM dm, PetscLagNodeIndices *nodeIndices) 473 { 474 PetscLagNodeIndices ni; 475 PetscInt dim, d; 476 477 PetscErrorCode ierr; 478 479 PetscFunctionBegin; 480 ierr = PetscNew(&ni);CHKERRQ(ierr); 481 ierr = DMGetDimension(dm, &dim);CHKERRQ(ierr); 482 ni->nodeIdxDim = dim + 1; 483 ni->nodeVecDim = 0; 484 ni->nNodes = dim + 1; 485 ni->refct = 1; 486 ierr = PetscCalloc1((dim + 1)*(dim + 1), &(ni->nodeIdx));CHKERRQ(ierr); 487 for (d = 0; d < dim + 1; d++) ni->nodeIdx[d*(dim + 2)] = 1; 488 ierr = PetscLagNodeIndicesComputeVertexOrder(dm, ni, PETSC_FALSE);CHKERRQ(ierr); 489 *nodeIndices = ni; 490 PetscFunctionReturn(0); 491 } 492 493 /* A polytope that is a tensor product of a facet and a segment. 494 * We take whatever coordinate system was being used for the facet 495 * and we concatenaty the barycentric coordinates for the vertices 496 * at the end of the segment, (1,0) and (0,1), to get a coordinate 497 * system for the tensor product element */ 498 static PetscErrorCode PetscLagNodeIndicesCreateTensorVertices(DM dm, PetscLagNodeIndices facetni, PetscLagNodeIndices *nodeIndices) 499 { 500 PetscLagNodeIndices ni; 501 PetscInt nodeIdxDim, subNodeIdxDim = facetni->nodeIdxDim; 502 PetscInt nVerts, nSubVerts = facetni->nNodes; 503 PetscInt dim, d, e, f, g; 504 505 PetscErrorCode ierr; 506 507 PetscFunctionBegin; 508 ierr = PetscNew(&ni);CHKERRQ(ierr); 509 ierr = DMGetDimension(dm, &dim);CHKERRQ(ierr); 510 ni->nodeIdxDim = nodeIdxDim = subNodeIdxDim + 2; 511 ni->nodeVecDim = 0; 512 ni->nNodes = nVerts = 2 * nSubVerts; 513 ni->refct = 1; 514 ierr = PetscCalloc1(nodeIdxDim * nVerts, &(ni->nodeIdx));CHKERRQ(ierr); 515 for (f = 0, d = 0; d < 2; d++) { 516 for (e = 0; e < nSubVerts; e++, f++) { 517 for (g = 0; g < subNodeIdxDim; g++) { 518 ni->nodeIdx[f * nodeIdxDim + g] = facetni->nodeIdx[e * subNodeIdxDim + g]; 519 } 520 ni->nodeIdx[f * nodeIdxDim + subNodeIdxDim] = (1 - d); 521 ni->nodeIdx[f * nodeIdxDim + subNodeIdxDim + 1] = d; 522 } 523 } 524 ierr = PetscLagNodeIndicesComputeVertexOrder(dm, ni, PETSC_TRUE);CHKERRQ(ierr); 525 *nodeIndices = ni; 526 PetscFunctionReturn(0); 527 } 528 529 /* This helps us compute symmetries, and it also helps us compute coordinates for dofs that are being pushed 530 * forward from a boundary mesh point. 531 * 532 * Input: 533 * 534 * dm - the target reference cell where we want new coordinates and dof directions to be valid 535 * vert - the vertex coordinate system for the target reference cell 536 * p - the point in the target reference cell that the dofs are coming from 537 * vertp - the vertex coordinate system for p's reference cell 538 * ornt - the resulting coordinates and dof vectors will be for p under this orientation 539 * nodep - the node coordinates and dof vectors in p's reference cell 540 * formDegree - the form degree that the dofs transform as 541 * 542 * Output: 543 * 544 * pfNodeIdx - the node coordinates for p's dofs, in the dm reference cell, from the ornt perspective 545 * pfNodeVec - the node dof vectors for p's dofs, in the dm reference cell, from the ornt perspective 546 */ 547 static PetscErrorCode PetscLagNodeIndicesPushForward(DM dm, PetscLagNodeIndices vert, PetscInt p, PetscLagNodeIndices vertp, PetscLagNodeIndices nodep, PetscInt ornt, PetscInt formDegree, PetscInt pfNodeIdx[], PetscReal pfNodeVec[]) 548 { 549 PetscInt *closureVerts; 550 PetscInt closureSize = 0; 551 PetscInt *closure = NULL; 552 PetscInt dim, pdim, c, i, j, k, n, v, vStart, vEnd; 553 PetscInt nSubVert = vertp->nNodes; 554 PetscInt nodeIdxDim = vert->nodeIdxDim; 555 PetscInt subNodeIdxDim = vertp->nodeIdxDim; 556 PetscInt nNodes = nodep->nNodes; 557 const PetscInt *vertIdx = vert->nodeIdx; 558 const PetscInt *subVertIdx = vertp->nodeIdx; 559 const PetscInt *nodeIdx = nodep->nodeIdx; 560 const PetscReal *nodeVec = nodep->nodeVec; 561 PetscReal *J, *Jstar; 562 PetscReal detJ; 563 PetscInt depth, pdepth, Nk, pNk; 564 Vec coordVec; 565 PetscScalar *newCoords = NULL; 566 const PetscScalar *oldCoords = NULL; 567 PetscErrorCode ierr; 568 569 PetscFunctionBegin; 570 ierr = DMGetDimension(dm, &dim);CHKERRQ(ierr); 571 ierr = DMPlexGetDepth(dm, &depth);CHKERRQ(ierr); 572 ierr = DMGetCoordinatesLocal(dm, &coordVec);CHKERRQ(ierr); 573 ierr = DMPlexGetPointDepth(dm, p, &pdepth);CHKERRQ(ierr); 574 pdim = pdepth != depth ? pdepth != 0 ? pdepth : 0 : dim; 575 ierr = DMPlexGetDepthStratum(dm, 0, &vStart, &vEnd);CHKERRQ(ierr); 576 ierr = DMGetWorkArray(dm, nSubVert, MPIU_INT, &closureVerts);CHKERRQ(ierr); 577 ierr = DMPlexGetTransitiveClosure_Internal(dm, p, ornt, PETSC_TRUE, &closureSize, &closure);CHKERRQ(ierr); 578 c = closureSize - nSubVert; 579 /* we want which cell closure indices the closure of this point corresponds to */ 580 for (v = 0; v < nSubVert; v++) closureVerts[v] = vert->perm[closure[2 * (c + v)] - vStart]; 581 ierr = DMPlexRestoreTransitiveClosure(dm, p, PETSC_TRUE, &closureSize, &closure);CHKERRQ(ierr); 582 /* push forward indices */ 583 for (i = 0; i < nodeIdxDim; i++) { /* for every component of the target index space */ 584 /* check if this is a component that all vertices around this point have in common */ 585 for (j = 1; j < nSubVert; j++) { 586 if (vertIdx[closureVerts[j] * nodeIdxDim + i] != vertIdx[closureVerts[0] * nodeIdxDim + i]) break; 587 } 588 if (j == nSubVert) { /* all vertices have this component in common, directly copy to output */ 589 PetscInt val = vertIdx[closureVerts[0] * nodeIdxDim + i]; 590 for (n = 0; n < nNodes; n++) pfNodeIdx[n * nodeIdxDim + i] = val; 591 } else { 592 PetscInt subi = -1; 593 /* there must be a component in vertp that looks the same */ 594 for (k = 0; k < subNodeIdxDim; k++) { 595 for (j = 0; j < nSubVert; j++) { 596 if (vertIdx[closureVerts[j] * nodeIdxDim + i] != subVertIdx[j * subNodeIdxDim + k]) break; 597 } 598 if (j == nSubVert) { 599 subi = k; 600 break; 601 } 602 } 603 if (subi < 0) SETERRQ(PETSC_COMM_SELF, PETSC_ERR_PLIB, "Did not find matching coordinate\n"); 604 /* that component in the vertp system becomes component i in the vert system for each dof */ 605 for (n = 0; n < nNodes; n++) pfNodeIdx[n * nodeIdxDim + i] = nodeIdx[n * subNodeIdxDim + subi]; 606 } 607 } 608 /* push forward vectors */ 609 ierr = DMGetWorkArray(dm, dim * dim, MPIU_REAL, &J);CHKERRQ(ierr); 610 if (ornt != 0) { /* temporarily change the coordinate vector so 611 DMPlexComputeCellGeometryAffineFEM gives us the Jacobian we want */ 612 PetscInt closureSize2 = 0; 613 PetscInt *closure2 = NULL; 614 615 ierr = DMPlexGetTransitiveClosure_Internal(dm, p, 0, PETSC_TRUE, &closureSize2, &closure2);CHKERRQ(ierr); 616 ierr = PetscMalloc1(dim * nSubVert, &newCoords);CHKERRQ(ierr); 617 ierr = VecGetArrayRead(coordVec, &oldCoords);CHKERRQ(ierr); 618 for (v = 0; v < nSubVert; v++) { 619 PetscInt d; 620 for (d = 0; d < dim; d++) { 621 newCoords[(closure2[2 * (c + v)] - vStart) * dim + d] = oldCoords[closureVerts[v] * dim + d]; 622 } 623 } 624 ierr = VecRestoreArrayRead(coordVec, &oldCoords);CHKERRQ(ierr); 625 ierr = DMPlexRestoreTransitiveClosure(dm, p, PETSC_TRUE, &closureSize2, &closure2);CHKERRQ(ierr); 626 ierr = VecPlaceArray(coordVec, newCoords);CHKERRQ(ierr); 627 } 628 ierr = DMPlexComputeCellGeometryAffineFEM(dm, p, NULL, J, NULL, &detJ);CHKERRQ(ierr); 629 if (ornt != 0) { 630 ierr = VecResetArray(coordVec);CHKERRQ(ierr); 631 ierr = PetscFree(newCoords);CHKERRQ(ierr); 632 } 633 ierr = DMRestoreWorkArray(dm, nSubVert, MPIU_INT, &closureVerts);CHKERRQ(ierr); 634 /* compactify */ 635 for (i = 0; i < dim; i++) for (j = 0; j < pdim; j++) J[i * pdim + j] = J[i * dim + j]; 636 /* We have the Jacobian mapping the point's reference cell to this reference cell: 637 * pulling back a function to the point and applying the dof is what we want, 638 * so we get the pullback matrix and multiply the dof by that matrix on the right */ 639 ierr = PetscDTBinomialInt(dim, PetscAbsInt(formDegree), &Nk);CHKERRQ(ierr); 640 ierr = PetscDTBinomialInt(pdim, PetscAbsInt(formDegree), &pNk);CHKERRQ(ierr); 641 ierr = DMGetWorkArray(dm, pNk * Nk, MPIU_REAL, &Jstar);CHKERRQ(ierr); 642 ierr = PetscDTAltVPullbackMatrix(pdim, dim, J, formDegree, Jstar);CHKERRQ(ierr); 643 for (n = 0; n < nNodes; n++) { 644 for (i = 0; i < Nk; i++) { 645 PetscReal val = 0.; 646 for (j = 0; j < pNk; j++) val += nodeVec[n * pNk + j] * Jstar[j * pNk + i]; 647 pfNodeVec[n * Nk + i] = val; 648 } 649 } 650 ierr = DMRestoreWorkArray(dm, pNk * Nk, MPIU_REAL, &Jstar);CHKERRQ(ierr); 651 ierr = DMRestoreWorkArray(dm, dim * dim, MPIU_REAL, &J);CHKERRQ(ierr); 652 PetscFunctionReturn(0); 653 } 654 655 /* given to sets of nodes, take the tensor product, where the product of the dof indices is concatenation and the 656 * product of the dof vectors is the wedge product */ 657 static PetscErrorCode PetscLagNodeIndicesTensor(PetscLagNodeIndices tracei, PetscInt dimT, PetscInt kT, PetscLagNodeIndices fiberi, PetscInt dimF, PetscInt kF, PetscLagNodeIndices *nodeIndices) 658 { 659 PetscInt dim = dimT + dimF; 660 PetscInt nodeIdxDim, nNodes; 661 PetscInt formDegree = kT + kF; 662 PetscInt Nk, NkT, NkF; 663 PetscInt MkT, MkF; 664 PetscLagNodeIndices ni; 665 PetscInt i, j, l; 666 PetscReal *projF, *projT; 667 PetscReal *projFstar, *projTstar; 668 PetscReal *workF, *workF2, *workT, *workT2, *work, *work2; 669 PetscReal *wedgeMat; 670 PetscReal sign; 671 PetscErrorCode ierr; 672 673 PetscFunctionBegin; 674 ierr = PetscDTBinomialInt(dim, PetscAbsInt(formDegree), &Nk);CHKERRQ(ierr); 675 ierr = PetscDTBinomialInt(dimT, PetscAbsInt(kT), &NkT);CHKERRQ(ierr); 676 ierr = PetscDTBinomialInt(dimF, PetscAbsInt(kF), &NkF);CHKERRQ(ierr); 677 ierr = PetscDTBinomialInt(dim, PetscAbsInt(kT), &MkT);CHKERRQ(ierr); 678 ierr = PetscDTBinomialInt(dim, PetscAbsInt(kF), &MkF);CHKERRQ(ierr); 679 ierr = PetscNew(&ni);CHKERRQ(ierr); 680 ni->nodeIdxDim = nodeIdxDim = tracei->nodeIdxDim + fiberi->nodeIdxDim; 681 ni->nodeVecDim = Nk; 682 ni->nNodes = nNodes = tracei->nNodes * fiberi->nNodes; 683 ni->refct = 1; 684 ierr = PetscMalloc1(nNodes * nodeIdxDim, &(ni->nodeIdx));CHKERRQ(ierr); 685 /* first concatenate the indices */ 686 for (l = 0, j = 0; j < fiberi->nNodes; j++) { 687 for (i = 0; i < tracei->nNodes; i++, l++) { 688 PetscInt m, n = 0; 689 690 for (m = 0; m < tracei->nodeIdxDim; m++) ni->nodeIdx[l * nodeIdxDim + n++] = tracei->nodeIdx[i * tracei->nodeIdxDim + m]; 691 for (m = 0; m < fiberi->nodeIdxDim; m++) ni->nodeIdx[l * nodeIdxDim + n++] = fiberi->nodeIdx[j * fiberi->nodeIdxDim + m]; 692 } 693 } 694 695 /* now wedge together the push-forward vectors */ 696 ierr = PetscMalloc1(nNodes * Nk, &(ni->nodeVec));CHKERRQ(ierr); 697 ierr = PetscCalloc2(dimT*dim, &projT, dimF*dim, &projF);CHKERRQ(ierr); 698 for (i = 0; i < dimT; i++) projT[i * (dim + 1)] = 1.; 699 for (i = 0; i < dimF; i++) projF[i * (dim + dimT + 1) + dimT] = 1.; 700 ierr = PetscMalloc2(MkT*NkT, &projTstar, MkF*NkF, &projFstar);CHKERRQ(ierr); 701 ierr = PetscDTAltVPullbackMatrix(dim, dimT, projT, kT, projTstar);CHKERRQ(ierr); 702 ierr = PetscDTAltVPullbackMatrix(dim, dimF, projF, kF, projFstar);CHKERRQ(ierr); 703 ierr = PetscMalloc6(MkT, &workT, MkT, &workT2, MkF, &workF, MkF, &workF2, Nk, &work, Nk, &work2);CHKERRQ(ierr); 704 ierr = PetscMalloc1(Nk * MkT, &wedgeMat);CHKERRQ(ierr); 705 sign = (PetscAbsInt(kT * kF) & 1) ? -1. : 1.; 706 for (l = 0, j = 0; j < fiberi->nNodes; j++) { 707 PetscInt d, e; 708 709 /* push forward fiber k-form */ 710 for (d = 0; d < MkF; d++) { 711 PetscReal val = 0.; 712 for (e = 0; e < NkF; e++) val += projFstar[d * NkF + e] * fiberi->nodeVec[j * NkF + e]; 713 workF[d] = val; 714 } 715 /* Hodge star to proper form if necessary */ 716 if (kF < 0) { 717 for (d = 0; d < MkF; d++) workF2[d] = workF[d]; 718 ierr = PetscDTAltVStar(dim, PetscAbsInt(kF), 1, workF2, workF);CHKERRQ(ierr); 719 } 720 /* Compute the matrix that wedges this form with one of the trace k-form */ 721 ierr = PetscDTAltVWedgeMatrix(dim, PetscAbsInt(kF), PetscAbsInt(kT), workF, wedgeMat);CHKERRQ(ierr); 722 for (i = 0; i < tracei->nNodes; i++, l++) { 723 /* push forward trace k-form */ 724 for (d = 0; d < MkT; d++) { 725 PetscReal val = 0.; 726 for (e = 0; e < NkT; e++) val += projTstar[d * NkT + e] * tracei->nodeVec[i * NkT + e]; 727 workT[d] = val; 728 } 729 /* Hodge star to proper form if necessary */ 730 if (kT < 0) { 731 for (d = 0; d < MkT; d++) workT2[d] = workT[d]; 732 ierr = PetscDTAltVStar(dim, PetscAbsInt(kT), 1, workT2, workT);CHKERRQ(ierr); 733 } 734 /* compute the wedge product of the push-forward trace form and firer forms */ 735 for (d = 0; d < Nk; d++) { 736 PetscReal val = 0.; 737 for (e = 0; e < MkT; e++) val += wedgeMat[d * MkT + e] * workT[e]; 738 work[d] = val; 739 } 740 /* inverse Hodge star from proper form if necessary */ 741 if (formDegree < 0) { 742 for (d = 0; d < Nk; d++) work2[d] = work[d]; 743 ierr = PetscDTAltVStar(dim, PetscAbsInt(formDegree), -1, work2, work);CHKERRQ(ierr); 744 } 745 /* insert into the array (adjusting for sign) */ 746 for (d = 0; d < Nk; d++) ni->nodeVec[l * Nk + d] = sign * work[d]; 747 } 748 } 749 ierr = PetscFree(wedgeMat);CHKERRQ(ierr); 750 ierr = PetscFree6(workT, workT2, workF, workF2, work, work2);CHKERRQ(ierr); 751 ierr = PetscFree2(projTstar, projFstar);CHKERRQ(ierr); 752 ierr = PetscFree2(projT, projF);CHKERRQ(ierr); 753 *nodeIndices = ni; 754 PetscFunctionReturn(0); 755 } 756 757 /* simple union of two sets of nodes */ 758 static PetscErrorCode PetscLagNodeIndicesMerge(PetscLagNodeIndices niA, PetscLagNodeIndices niB, PetscLagNodeIndices *nodeIndices) 759 { 760 PetscLagNodeIndices ni; 761 PetscInt nodeIdxDim, nodeVecDim, nNodes; 762 PetscErrorCode ierr; 763 764 PetscFunctionBegin; 765 ierr = PetscNew(&ni);CHKERRQ(ierr); 766 ni->nodeIdxDim = nodeIdxDim = niA->nodeIdxDim; 767 if (niB->nodeIdxDim != nodeIdxDim) SETERRQ(PETSC_COMM_SELF, PETSC_ERR_ARG_INCOMP, "Cannot merge PetscLagNodeIndices with different nodeIdxDim"); 768 ni->nodeVecDim = nodeVecDim = niA->nodeVecDim; 769 if (niB->nodeVecDim != nodeVecDim) SETERRQ(PETSC_COMM_SELF, PETSC_ERR_ARG_INCOMP, "Cannot merge PetscLagNodeIndices with different nodeVecDim"); 770 ni->nNodes = nNodes = niA->nNodes + niB->nNodes; 771 ni->refct = 1; 772 ierr = PetscMalloc1(nNodes * nodeIdxDim, &(ni->nodeIdx));CHKERRQ(ierr); 773 ierr = PetscMalloc1(nNodes * nodeVecDim, &(ni->nodeVec));CHKERRQ(ierr); 774 ierr = PetscArraycpy(ni->nodeIdx, niA->nodeIdx, niA->nNodes * nodeIdxDim);CHKERRQ(ierr); 775 ierr = PetscArraycpy(ni->nodeVec, niA->nodeVec, niA->nNodes * nodeVecDim);CHKERRQ(ierr); 776 ierr = PetscArraycpy(&(ni->nodeIdx[niA->nNodes * nodeIdxDim]), niB->nodeIdx, niB->nNodes * nodeIdxDim);CHKERRQ(ierr); 777 ierr = PetscArraycpy(&(ni->nodeVec[niA->nNodes * nodeVecDim]), niB->nodeVec, niB->nNodes * nodeVecDim);CHKERRQ(ierr); 778 *nodeIndices = ni; 779 PetscFunctionReturn(0); 780 } 781 782 #define PETSCTUPINTCOMPREVLEX(N) \ 783 static int PetscTupIntCompRevlex_##N(const void *a, const void *b) \ 784 { \ 785 const PetscInt *A = (const PetscInt *) a; \ 786 const PetscInt *B = (const PetscInt *) b; \ 787 int i; \ 788 PetscInt diff = 0; \ 789 for (i = 0; i < N; i++) { \ 790 diff = A[N - i] - B[N - i]; \ 791 if (diff) break; \ 792 } \ 793 return (diff <= 0) ? (diff < 0) ? -1 : 0 : 1; \ 794 } 795 796 PETSCTUPINTCOMPREVLEX(3) 797 PETSCTUPINTCOMPREVLEX(4) 798 PETSCTUPINTCOMPREVLEX(5) 799 PETSCTUPINTCOMPREVLEX(6) 800 PETSCTUPINTCOMPREVLEX(7) 801 802 static int PetscTupIntCompRevlex_N(const void *a, const void *b) 803 { 804 const PetscInt *A = (const PetscInt *) a; 805 const PetscInt *B = (const PetscInt *) b; 806 int i; 807 int N = A[0]; 808 PetscInt diff = 0; 809 for (i = 0; i < N; i++) { 810 diff = A[N - i] - B[N - i]; 811 if (diff) break; 812 } 813 return (diff <= 0) ? (diff < 0) ? -1 : 0 : 1; 814 } 815 816 /* The nodes are not necessarily in revlex order wrt nodeIdx: get the permutation 817 * that puts them in that order */ 818 static PetscErrorCode PetscLagNodeIndicesGetPermutation(PetscLagNodeIndices ni, PetscInt *perm[]) 819 { 820 PetscErrorCode ierr; 821 822 PetscFunctionBegin; 823 if (!(ni->perm)) { 824 PetscInt *sorter; 825 PetscInt m = ni->nNodes; 826 PetscInt nodeIdxDim = ni->nodeIdxDim; 827 PetscInt i, j, k, l; 828 PetscInt *prm; 829 int (*comp) (const void *, const void *); 830 831 ierr = PetscMalloc1((nodeIdxDim + 2) * m, &sorter);CHKERRQ(ierr); 832 for (k = 0, l = 0, i = 0; i < m; i++) { 833 sorter[k++] = nodeIdxDim + 1; 834 sorter[k++] = i; 835 for (j = 0; j < nodeIdxDim; j++) sorter[k++] = ni->nodeIdx[l++]; 836 } 837 switch (nodeIdxDim) { 838 case 2: 839 comp = PetscTupIntCompRevlex_3; 840 break; 841 case 3: 842 comp = PetscTupIntCompRevlex_4; 843 break; 844 case 4: 845 comp = PetscTupIntCompRevlex_5; 846 break; 847 case 5: 848 comp = PetscTupIntCompRevlex_6; 849 break; 850 case 6: 851 comp = PetscTupIntCompRevlex_7; 852 break; 853 default: 854 comp = PetscTupIntCompRevlex_N; 855 break; 856 } 857 qsort(sorter, m, (nodeIdxDim + 2) * sizeof(PetscInt), comp); 858 ierr = PetscMalloc1(m, &prm);CHKERRQ(ierr); 859 for (i = 0; i < m; i++) prm[i] = sorter[(nodeIdxDim + 2) * i + 1]; 860 ni->perm = prm; 861 ierr = PetscFree(sorter); 862 } 863 *perm = ni->perm; 864 PetscFunctionReturn(0); 865 } 866 867 static PetscErrorCode PetscDualSpaceDestroy_Lagrange(PetscDualSpace sp) 868 { 869 PetscDualSpace_Lag *lag = (PetscDualSpace_Lag *) sp->data; 870 PetscErrorCode ierr; 871 872 PetscFunctionBegin; 873 if (lag->symperms) { 874 PetscInt **selfSyms = lag->symperms[0]; 875 876 if (selfSyms) { 877 PetscInt i, **allocated = &selfSyms[-lag->selfSymOff]; 878 879 for (i = 0; i < lag->numSelfSym; i++) { 880 ierr = PetscFree(allocated[i]);CHKERRQ(ierr); 881 } 882 ierr = PetscFree(allocated);CHKERRQ(ierr); 883 } 884 ierr = PetscFree(lag->symperms);CHKERRQ(ierr); 885 } 886 if (lag->symflips) { 887 PetscScalar **selfSyms = lag->symflips[0]; 888 889 if (selfSyms) { 890 PetscInt i; 891 PetscScalar **allocated = &selfSyms[-lag->selfSymOff]; 892 893 for (i = 0; i < lag->numSelfSym; i++) { 894 ierr = PetscFree(allocated[i]);CHKERRQ(ierr); 895 } 896 ierr = PetscFree(allocated);CHKERRQ(ierr); 897 } 898 ierr = PetscFree(lag->symflips);CHKERRQ(ierr); 899 } 900 ierr = Petsc1DNodeFamilyDestroy(&(lag->nodeFamily));CHKERRQ(ierr); 901 ierr = PetscLagNodeIndicesDestroy(&(lag->vertIndices));CHKERRQ(ierr); 902 ierr = PetscLagNodeIndicesDestroy(&(lag->intNodeIndices));CHKERRQ(ierr); 903 ierr = PetscLagNodeIndicesDestroy(&(lag->allNodeIndices));CHKERRQ(ierr); 904 ierr = PetscFree(lag);CHKERRQ(ierr); 905 ierr = PetscObjectComposeFunction((PetscObject) sp, "PetscDualSpaceLagrangeGetContinuity_C", NULL);CHKERRQ(ierr); 906 ierr = PetscObjectComposeFunction((PetscObject) sp, "PetscDualSpaceLagrangeSetContinuity_C", NULL);CHKERRQ(ierr); 907 ierr = PetscObjectComposeFunction((PetscObject) sp, "PetscDualSpaceLagrangeGetTensor_C", NULL);CHKERRQ(ierr); 908 ierr = PetscObjectComposeFunction((PetscObject) sp, "PetscDualSpaceLagrangeSetTensor_C", NULL);CHKERRQ(ierr); 909 ierr = PetscObjectComposeFunction((PetscObject) sp, "PetscDualSpaceLagrangeGetTrimmed_C", NULL);CHKERRQ(ierr); 910 ierr = PetscObjectComposeFunction((PetscObject) sp, "PetscDualSpaceLagrangeSetTrimmed_C", NULL);CHKERRQ(ierr); 911 ierr = PetscObjectComposeFunction((PetscObject) sp, "PetscDualSpaceLagrangeGetNodeType_C", NULL);CHKERRQ(ierr); 912 ierr = PetscObjectComposeFunction((PetscObject) sp, "PetscDualSpaceLagrangeSetNodeType_C", NULL);CHKERRQ(ierr); 913 PetscFunctionReturn(0); 914 } 915 916 static PetscErrorCode PetscDualSpaceLagrangeView_Ascii(PetscDualSpace sp, PetscViewer viewer) 917 { 918 PetscDualSpace_Lag *lag = (PetscDualSpace_Lag *) sp->data; 919 PetscErrorCode ierr; 920 921 PetscFunctionBegin; 922 ierr = PetscViewerASCIIPrintf(viewer, "%s %s%sLagrange dual space\n", lag->continuous ? "Continuous" : "Discontinuous", lag->tensorSpace ? "tensor " : "", lag->trimmed ? "trimmed " : "");CHKERRQ(ierr); 923 PetscFunctionReturn(0); 924 } 925 926 static PetscErrorCode PetscDualSpaceView_Lagrange(PetscDualSpace sp, PetscViewer viewer) 927 { 928 PetscBool iascii; 929 PetscErrorCode ierr; 930 931 PetscFunctionBegin; 932 PetscValidHeaderSpecific(sp, PETSCDUALSPACE_CLASSID, 1); 933 PetscValidHeaderSpecific(viewer, PETSC_VIEWER_CLASSID, 2); 934 ierr = PetscObjectTypeCompare((PetscObject) viewer, PETSCVIEWERASCII, &iascii);CHKERRQ(ierr); 935 if (iascii) {ierr = PetscDualSpaceLagrangeView_Ascii(sp, viewer);CHKERRQ(ierr);} 936 PetscFunctionReturn(0); 937 } 938 939 static PetscErrorCode PetscDualSpaceSetFromOptions_Lagrange(PetscOptionItems *PetscOptionsObject,PetscDualSpace sp) 940 { 941 PetscBool continuous, tensor, trimmed, flg, flg2, flg3; 942 PetscDTNodeType nodeType; 943 PetscReal nodeExponent; 944 PetscBool nodeEndpoints; 945 PetscErrorCode ierr; 946 947 PetscFunctionBegin; 948 ierr = PetscDualSpaceLagrangeGetContinuity(sp, &continuous);CHKERRQ(ierr); 949 ierr = PetscDualSpaceLagrangeGetTensor(sp, &tensor);CHKERRQ(ierr); 950 ierr = PetscDualSpaceLagrangeGetTrimmed(sp, &trimmed);CHKERRQ(ierr); 951 ierr = PetscDualSpaceLagrangeGetNodeType(sp, &nodeType, &nodeEndpoints, &nodeExponent);CHKERRQ(ierr); 952 if (nodeType == PETSCDTNODES_DEFAULT) nodeType = PETSCDTNODES_GAUSSJACOBI; 953 ierr = PetscOptionsHead(PetscOptionsObject,"PetscDualSpace Lagrange Options");CHKERRQ(ierr); 954 ierr = PetscOptionsBool("-petscdualspace_lagrange_continuity", "Flag for continuous element", "PetscDualSpaceLagrangeSetContinuity", continuous, &continuous, &flg);CHKERRQ(ierr); 955 if (flg) {ierr = PetscDualSpaceLagrangeSetContinuity(sp, continuous);CHKERRQ(ierr);} 956 ierr = PetscOptionsBool("-petscdualspace_lagrange_tensor", "Flag for tensor dual space", "PetscDualSpaceLagrangeSetTensor", tensor, &tensor, &flg);CHKERRQ(ierr); 957 if (flg) {ierr = PetscDualSpaceLagrangeSetTensor(sp, tensor);CHKERRQ(ierr);} 958 ierr = PetscOptionsBool("-petscdualspace_lagrange_trimmed", "Flag for trimmed dual space", "PetscDualSpaceLagrangeSetTrimmed", trimmed, &trimmed, &flg);CHKERRQ(ierr); 959 if (flg) {ierr = PetscDualSpaceLagrangeSetTrimmed(sp, trimmed);CHKERRQ(ierr);} 960 ierr = PetscOptionsEnum("-petscdualspace_lagrange_node_type", "Lagrange node location type", "PetscDualSpaceLagrangeSetNodeType", PetscDTNodeTypes, (PetscEnum)nodeType, (PetscEnum *)&nodeType, &flg);CHKERRQ(ierr); 961 ierr = PetscOptionsBool("-petscdualspace_lagrange_node_endpoints", "Flag for nodes that include endpoints", "PetscDualSpaceLagrangeSetNodeType", nodeEndpoints, &nodeEndpoints, &flg2);CHKERRQ(ierr); 962 flg3 = PETSC_FALSE; 963 if (nodeType == PETSCDTNODES_GAUSSJACOBI) { 964 ierr = PetscOptionsReal("-petscdualspace_lagrange_node_exponent", "Gauss-Jacobi weight function exponent", "PetscDualSpaceLagrangeSetNodeType", nodeExponent, &nodeExponent, &flg3);CHKERRQ(ierr); 965 } 966 if (flg || flg2 || flg3) {ierr = PetscDualSpaceLagrangeSetNodeType(sp, nodeType, nodeEndpoints, nodeExponent);CHKERRQ(ierr);} 967 ierr = PetscOptionsTail();CHKERRQ(ierr); 968 PetscFunctionReturn(0); 969 } 970 971 static PetscErrorCode PetscDualSpaceDuplicate_Lagrange(PetscDualSpace sp, PetscDualSpace spNew) 972 { 973 PetscBool cont, tensor, trimmed, boundary; 974 PetscDTNodeType nodeType; 975 PetscReal exponent; 976 PetscDualSpace_Lag *lag = (PetscDualSpace_Lag *) sp->data; 977 PetscErrorCode ierr; 978 979 PetscFunctionBegin; 980 ierr = PetscDualSpaceLagrangeGetContinuity(sp, &cont);CHKERRQ(ierr); 981 ierr = PetscDualSpaceLagrangeSetContinuity(spNew, cont);CHKERRQ(ierr); 982 ierr = PetscDualSpaceLagrangeGetTensor(sp, &tensor);CHKERRQ(ierr); 983 ierr = PetscDualSpaceLagrangeSetTensor(spNew, tensor);CHKERRQ(ierr); 984 ierr = PetscDualSpaceLagrangeGetTrimmed(sp, &trimmed);CHKERRQ(ierr); 985 ierr = PetscDualSpaceLagrangeSetTrimmed(spNew, trimmed);CHKERRQ(ierr); 986 ierr = PetscDualSpaceLagrangeGetNodeType(sp, &nodeType, &boundary, &exponent);CHKERRQ(ierr); 987 ierr = PetscDualSpaceLagrangeSetNodeType(spNew, nodeType, boundary, exponent);CHKERRQ(ierr); 988 if (lag->nodeFamily) { 989 PetscDualSpace_Lag *lagnew = (PetscDualSpace_Lag *) spNew->data; 990 991 ierr = Petsc1DNodeFamilyReference(lag->nodeFamily);CHKERRQ(ierr); 992 lagnew->nodeFamily = lag->nodeFamily; 993 } 994 PetscFunctionReturn(0); 995 } 996 997 /* for making tensor product spaces: take a dual space and product a segment space that has all the same 998 * specifications (trimmed, continuous, order, node set), except for the form degree */ 999 static PetscErrorCode PetscDualSpaceCreateEdgeSubspace_Lagrange(PetscDualSpace sp, PetscInt order, PetscInt k, PetscInt Nc, PetscBool interiorOnly, PetscDualSpace *bdsp) 1000 { 1001 DM K; 1002 PetscDualSpace_Lag *newlag; 1003 PetscErrorCode ierr; 1004 1005 PetscFunctionBegin; 1006 ierr = PetscDualSpaceDuplicate(sp,bdsp);CHKERRQ(ierr); 1007 ierr = PetscDualSpaceSetFormDegree(*bdsp, k);CHKERRQ(ierr); 1008 ierr = PetscDualSpaceCreateReferenceCell(*bdsp, 1, PETSC_TRUE, &K);CHKERRQ(ierr); 1009 ierr = PetscDualSpaceSetDM(*bdsp, K);CHKERRQ(ierr); 1010 ierr = DMDestroy(&K);CHKERRQ(ierr); 1011 ierr = PetscDualSpaceSetOrder(*bdsp, order);CHKERRQ(ierr); 1012 ierr = PetscDualSpaceSetNumComponents(*bdsp, Nc);CHKERRQ(ierr); 1013 newlag = (PetscDualSpace_Lag *) (*bdsp)->data; 1014 newlag->interiorOnly = interiorOnly; 1015 ierr = PetscDualSpaceSetUp(*bdsp);CHKERRQ(ierr); 1016 PetscFunctionReturn(0); 1017 } 1018 1019 /* just the points, weights aren't handled */ 1020 static PetscErrorCode PetscQuadratureCreateTensor(PetscQuadrature trace, PetscQuadrature fiber, PetscQuadrature *product) 1021 { 1022 PetscInt dimTrace, dimFiber; 1023 PetscInt numPointsTrace, numPointsFiber; 1024 PetscInt dim, numPoints; 1025 const PetscReal *pointsTrace; 1026 const PetscReal *pointsFiber; 1027 PetscReal *points; 1028 PetscInt i, j, k, p; 1029 PetscErrorCode ierr; 1030 1031 PetscFunctionBegin; 1032 ierr = PetscQuadratureGetData(trace, &dimTrace, NULL, &numPointsTrace, &pointsTrace, NULL);CHKERRQ(ierr); 1033 ierr = PetscQuadratureGetData(fiber, &dimFiber, NULL, &numPointsFiber, &pointsFiber, NULL);CHKERRQ(ierr); 1034 dim = dimTrace + dimFiber; 1035 numPoints = numPointsFiber * numPointsTrace; 1036 ierr = PetscMalloc1(numPoints * dim, &points);CHKERRQ(ierr); 1037 for (p = 0, j = 0; j < numPointsFiber; j++) { 1038 for (i = 0; i < numPointsTrace; i++, p++) { 1039 for (k = 0; k < dimTrace; k++) points[p * dim + k] = pointsTrace[i * dimTrace + k]; 1040 for (k = 0; k < dimFiber; k++) points[p * dim + dimTrace + k] = pointsFiber[j * dimFiber + k]; 1041 } 1042 } 1043 ierr = PetscQuadratureCreate(PETSC_COMM_SELF, product);CHKERRQ(ierr); 1044 ierr = PetscQuadratureSetData(*product, dim, 0, numPoints, points, NULL);CHKERRQ(ierr); 1045 PetscFunctionReturn(0); 1046 } 1047 1048 /* Kronecker tensor product where matrix is considered a matrix of k-forms, so that 1049 * the entries in the product matrix are wedge products of the entries in the original matrices */ 1050 static PetscErrorCode MatTensorAltV(Mat trace, Mat fiber, PetscInt dimTrace, PetscInt kTrace, PetscInt dimFiber, PetscInt kFiber, Mat *product) 1051 { 1052 PetscInt mTrace, nTrace, mFiber, nFiber, m, n, k, i, j, l; 1053 PetscInt dim, NkTrace, NkFiber, Nk; 1054 PetscInt dT, dF; 1055 PetscInt *nnzTrace, *nnzFiber, *nnz; 1056 PetscInt iT, iF, jT, jF, il, jl; 1057 PetscReal *workT, *workT2, *workF, *workF2, *work, *workstar; 1058 PetscReal *projT, *projF; 1059 PetscReal *projTstar, *projFstar; 1060 PetscReal *wedgeMat; 1061 PetscReal sign; 1062 PetscScalar *workS; 1063 Mat prod; 1064 /* this produces dof groups that look like the identity */ 1065 PetscErrorCode ierr; 1066 1067 PetscFunctionBegin; 1068 ierr = MatGetSize(trace, &mTrace, &nTrace);CHKERRQ(ierr); 1069 ierr = PetscDTBinomialInt(dimTrace, PetscAbsInt(kTrace), &NkTrace);CHKERRQ(ierr); 1070 if (nTrace % NkTrace) SETERRQ(PETSC_COMM_SELF, PETSC_ERR_PLIB, "point value space of trace matrix is not a multiple of k-form size"); 1071 ierr = MatGetSize(fiber, &mFiber, &nFiber);CHKERRQ(ierr); 1072 ierr = PetscDTBinomialInt(dimFiber, PetscAbsInt(kFiber), &NkFiber);CHKERRQ(ierr); 1073 if (nFiber % NkFiber) SETERRQ(PETSC_COMM_SELF, PETSC_ERR_PLIB, "point value space of fiber matrix is not a multiple of k-form size"); 1074 ierr = PetscMalloc2(mTrace, &nnzTrace, mFiber, &nnzFiber);CHKERRQ(ierr); 1075 for (i = 0; i < mTrace; i++) { 1076 ierr = MatGetRow(trace, i, &(nnzTrace[i]), NULL, NULL);CHKERRQ(ierr); 1077 if (nnzTrace[i] % NkTrace) SETERRQ(PETSC_COMM_SELF, PETSC_ERR_PLIB, "nonzeros in trace matrix are not in k-form size blocks"); 1078 } 1079 for (i = 0; i < mFiber; i++) { 1080 ierr = MatGetRow(fiber, i, &(nnzFiber[i]), NULL, NULL);CHKERRQ(ierr); 1081 if (nnzFiber[i] % NkFiber) SETERRQ(PETSC_COMM_SELF, PETSC_ERR_PLIB, "nonzeros in fiber matrix are not in k-form size blocks"); 1082 } 1083 dim = dimTrace + dimFiber; 1084 k = kFiber + kTrace; 1085 ierr = PetscDTBinomialInt(dim, PetscAbsInt(k), &Nk);CHKERRQ(ierr); 1086 m = mTrace * mFiber; 1087 ierr = PetscMalloc1(m, &nnz);CHKERRQ(ierr); 1088 for (l = 0, j = 0; j < mFiber; j++) for (i = 0; i < mTrace; i++, l++) nnz[l] = (nnzTrace[i] / NkTrace) * (nnzFiber[j] / NkFiber) * Nk; 1089 n = (nTrace / NkTrace) * (nFiber / NkFiber) * Nk; 1090 ierr = MatCreateSeqAIJ(PETSC_COMM_SELF, m, n, 0, nnz, &prod);CHKERRQ(ierr); 1091 ierr = PetscFree(nnz);CHKERRQ(ierr); 1092 ierr = PetscFree2(nnzTrace,nnzFiber);CHKERRQ(ierr); 1093 /* reasoning about which points each dof needs depends on having zeros computed at points preserved */ 1094 ierr = MatSetOption(prod, MAT_IGNORE_ZERO_ENTRIES, PETSC_FALSE);CHKERRQ(ierr); 1095 /* compute pullbacks */ 1096 ierr = PetscDTBinomialInt(dim, PetscAbsInt(kTrace), &dT);CHKERRQ(ierr); 1097 ierr = PetscDTBinomialInt(dim, PetscAbsInt(kFiber), &dF);CHKERRQ(ierr); 1098 ierr = PetscMalloc4(dimTrace * dim, &projT, dimFiber * dim, &projF, dT * NkTrace, &projTstar, dF * NkFiber, &projFstar);CHKERRQ(ierr); 1099 ierr = PetscArrayzero(projT, dimTrace * dim);CHKERRQ(ierr); 1100 for (i = 0; i < dimTrace; i++) projT[i * (dim + 1)] = 1.; 1101 ierr = PetscArrayzero(projF, dimFiber * dim);CHKERRQ(ierr); 1102 for (i = 0; i < dimFiber; i++) projF[i * (dim + 1) + dimTrace] = 1.; 1103 ierr = PetscDTAltVPullbackMatrix(dim, dimTrace, projT, kTrace, projTstar);CHKERRQ(ierr); 1104 ierr = PetscDTAltVPullbackMatrix(dim, dimFiber, projF, kFiber, projFstar);CHKERRQ(ierr); 1105 ierr = PetscMalloc5(dT, &workT, dF, &workF, Nk, &work, Nk, &workstar, Nk, &workS);CHKERRQ(ierr); 1106 ierr = PetscMalloc2(dT, &workT2, dF, &workF2);CHKERRQ(ierr); 1107 ierr = PetscMalloc1(Nk * dT, &wedgeMat);CHKERRQ(ierr); 1108 sign = (PetscAbsInt(kTrace * kFiber) & 1) ? -1. : 1.; 1109 for (i = 0, iF = 0; iF < mFiber; iF++) { 1110 PetscInt ncolsF, nformsF; 1111 const PetscInt *colsF; 1112 const PetscScalar *valsF; 1113 1114 ierr = MatGetRow(fiber, iF, &ncolsF, &colsF, &valsF);CHKERRQ(ierr); 1115 nformsF = ncolsF / NkFiber; 1116 for (iT = 0; iT < mTrace; iT++, i++) { 1117 PetscInt ncolsT, nformsT; 1118 const PetscInt *colsT; 1119 const PetscScalar *valsT; 1120 1121 ierr = MatGetRow(trace, iT, &ncolsT, &colsT, &valsT);CHKERRQ(ierr); 1122 nformsT = ncolsT / NkTrace; 1123 for (j = 0, jF = 0; jF < nformsF; jF++) { 1124 PetscInt colF = colsF[jF * NkFiber] / NkFiber; 1125 1126 for (il = 0; il < dF; il++) { 1127 PetscReal val = 0.; 1128 for (jl = 0; jl < NkFiber; jl++) val += projFstar[il * NkFiber + jl] * PetscRealPart(valsF[jF * NkFiber + jl]); 1129 workF[il] = val; 1130 } 1131 if (kFiber < 0) { 1132 for (il = 0; il < dF; il++) workF2[il] = workF[il]; 1133 ierr = PetscDTAltVStar(dim, PetscAbsInt(kFiber), 1, workF2, workF);CHKERRQ(ierr); 1134 } 1135 ierr = PetscDTAltVWedgeMatrix(dim, PetscAbsInt(kFiber), PetscAbsInt(kTrace), workF, wedgeMat);CHKERRQ(ierr); 1136 for (jT = 0; jT < nformsT; jT++, j++) { 1137 PetscInt colT = colsT[jT * NkTrace] / NkTrace; 1138 PetscInt col = colF * (nTrace / NkTrace) + colT; 1139 const PetscScalar *vals; 1140 1141 for (il = 0; il < dT; il++) { 1142 PetscReal val = 0.; 1143 for (jl = 0; jl < NkTrace; jl++) val += projTstar[il * NkTrace + jl] * PetscRealPart(valsT[jT * NkTrace + jl]); 1144 workT[il] = val; 1145 } 1146 if (kTrace < 0) { 1147 for (il = 0; il < dT; il++) workT2[il] = workT[il]; 1148 ierr = PetscDTAltVStar(dim, PetscAbsInt(kTrace), 1, workT2, workT);CHKERRQ(ierr); 1149 } 1150 1151 for (il = 0; il < Nk; il++) { 1152 PetscReal val = 0.; 1153 for (jl = 0; jl < dT; jl++) val += sign * wedgeMat[il * dT + jl] * workT[jl]; 1154 work[il] = val; 1155 } 1156 if (k < 0) { 1157 ierr = PetscDTAltVStar(dim, PetscAbsInt(k), -1, work, workstar);CHKERRQ(ierr); 1158 #if defined(PETSC_USE_COMPLEX) 1159 for (l = 0; l < Nk; l++) workS[l] = workstar[l]; 1160 vals = &workS[0]; 1161 #else 1162 vals = &workstar[0]; 1163 #endif 1164 } else { 1165 #if defined(PETSC_USE_COMPLEX) 1166 for (l = 0; l < Nk; l++) workS[l] = work[l]; 1167 vals = &workS[0]; 1168 #else 1169 vals = &work[0]; 1170 #endif 1171 } 1172 for (l = 0; l < Nk; l++) { 1173 ierr = MatSetValue(prod, i, col * Nk + l, vals[l], INSERT_VALUES);CHKERRQ(ierr); 1174 } /* Nk */ 1175 } /* jT */ 1176 } /* jF */ 1177 ierr = MatRestoreRow(trace, iT, &ncolsT, &colsT, &valsT);CHKERRQ(ierr); 1178 } /* iT */ 1179 ierr = MatRestoreRow(fiber, iF, &ncolsF, &colsF, &valsF);CHKERRQ(ierr); 1180 } /* iF */ 1181 ierr = PetscFree(wedgeMat);CHKERRQ(ierr); 1182 ierr = PetscFree4(projT, projF, projTstar, projFstar);CHKERRQ(ierr); 1183 ierr = PetscFree2(workT2, workF2);CHKERRQ(ierr); 1184 ierr = PetscFree5(workT, workF, work, workstar, workS);CHKERRQ(ierr); 1185 ierr = MatAssemblyBegin(prod, MAT_FINAL_ASSEMBLY);CHKERRQ(ierr); 1186 ierr = MatAssemblyEnd(prod, MAT_FINAL_ASSEMBLY);CHKERRQ(ierr); 1187 *product = prod; 1188 PetscFunctionReturn(0); 1189 } 1190 1191 /* Union of quadrature points, with an attempt to identify commont points in the two sets */ 1192 static PetscErrorCode PetscQuadraturePointsMerge(PetscQuadrature quadA, PetscQuadrature quadB, PetscQuadrature *quadJoint, PetscInt *aToJoint[], PetscInt *bToJoint[]) 1193 { 1194 PetscInt dimA, dimB; 1195 PetscInt nA, nB, nJoint, i, j, d; 1196 const PetscReal *pointsA; 1197 const PetscReal *pointsB; 1198 PetscReal *pointsJoint; 1199 PetscInt *aToJ, *bToJ; 1200 PetscQuadrature qJ; 1201 PetscErrorCode ierr; 1202 1203 PetscFunctionBegin; 1204 ierr = PetscQuadratureGetData(quadA, &dimA, NULL, &nA, &pointsA, NULL);CHKERRQ(ierr); 1205 ierr = PetscQuadratureGetData(quadB, &dimB, NULL, &nB, &pointsB, NULL);CHKERRQ(ierr); 1206 if (dimA != dimB) SETERRQ(PETSC_COMM_SELF, PETSC_ERR_ARG_INCOMP, "Quadrature points must be in the same dimension"); 1207 nJoint = nA; 1208 ierr = PetscMalloc1(nA, &aToJ);CHKERRQ(ierr); 1209 for (i = 0; i < nA; i++) aToJ[i] = i; 1210 ierr = PetscMalloc1(nB, &bToJ);CHKERRQ(ierr); 1211 for (i = 0; i < nB; i++) { 1212 for (j = 0; j < nA; j++) { 1213 bToJ[i] = -1; 1214 for (d = 0; d < dimA; d++) if (PetscAbsReal(pointsB[i * dimA + d] - pointsA[j * dimA + d]) > PETSC_SMALL) break; 1215 if (d == dimA) { 1216 bToJ[i] = j; 1217 break; 1218 } 1219 } 1220 if (bToJ[i] == -1) { 1221 bToJ[i] = nJoint++; 1222 } 1223 } 1224 *aToJoint = aToJ; 1225 *bToJoint = bToJ; 1226 ierr = PetscMalloc1(nJoint * dimA, &pointsJoint);CHKERRQ(ierr); 1227 ierr = PetscArraycpy(pointsJoint, pointsA, nA * dimA);CHKERRQ(ierr); 1228 for (i = 0; i < nB; i++) { 1229 if (bToJ[i] >= nA) { 1230 for (d = 0; d < dimA; d++) pointsJoint[bToJ[i] * dimA + d] = pointsB[i * dimA + d]; 1231 } 1232 } 1233 ierr = PetscQuadratureCreate(PETSC_COMM_SELF, &qJ);CHKERRQ(ierr); 1234 ierr = PetscQuadratureSetData(qJ, dimA, 0, nJoint, pointsJoint, NULL);CHKERRQ(ierr); 1235 *quadJoint = qJ; 1236 PetscFunctionReturn(0); 1237 } 1238 1239 /* Matrices matA and matB are both quadrature -> dof matrices: produce a matrix that is joint quadrature -> union of 1240 * dofs, where the joint quadrature was produced by PetscQuadraturePointsMerge */ 1241 static PetscErrorCode MatricesMerge(Mat matA, Mat matB, PetscInt dim, PetscInt k, PetscInt numMerged, const PetscInt aToMerged[], const PetscInt bToMerged[], Mat *matMerged) 1242 { 1243 PetscInt m, n, mA, nA, mB, nB, Nk, i, j, l; 1244 Mat M; 1245 PetscInt *nnz; 1246 PetscInt maxnnz; 1247 PetscInt *work; 1248 PetscErrorCode ierr; 1249 1250 PetscFunctionBegin; 1251 ierr = PetscDTBinomialInt(dim, PetscAbsInt(k), &Nk);CHKERRQ(ierr); 1252 ierr = MatGetSize(matA, &mA, &nA);CHKERRQ(ierr); 1253 if (nA % Nk) SETERRQ(PETSC_COMM_SELF, PETSC_ERR_ARG_SIZ, "matA column space not a multiple of k-form size"); 1254 ierr = MatGetSize(matB, &mB, &nB);CHKERRQ(ierr); 1255 if (nB % Nk) SETERRQ(PETSC_COMM_SELF, PETSC_ERR_ARG_SIZ, "matB column space not a multiple of k-form size"); 1256 m = mA + mB; 1257 n = numMerged * Nk; 1258 ierr = PetscMalloc1(m, &nnz);CHKERRQ(ierr); 1259 maxnnz = 0; 1260 for (i = 0; i < mA; i++) { 1261 ierr = MatGetRow(matA, i, &(nnz[i]), NULL, NULL);CHKERRQ(ierr); 1262 if (nnz[i] % Nk) SETERRQ(PETSC_COMM_SELF, PETSC_ERR_PLIB, "nonzeros in matA are not in k-form size blocks"); 1263 maxnnz = PetscMax(maxnnz, nnz[i]); 1264 } 1265 for (i = 0; i < mB; i++) { 1266 ierr = MatGetRow(matB, i, &(nnz[i+mA]), NULL, NULL);CHKERRQ(ierr); 1267 if (nnz[i+mA] % Nk) SETERRQ(PETSC_COMM_SELF, PETSC_ERR_PLIB, "nonzeros in matB are not in k-form size blocks"); 1268 maxnnz = PetscMax(maxnnz, nnz[i+mA]); 1269 } 1270 ierr = MatCreateSeqAIJ(PETSC_COMM_SELF, m, n, 0, nnz, &M);CHKERRQ(ierr); 1271 ierr = PetscFree(nnz);CHKERRQ(ierr); 1272 /* reasoning about which points each dof needs depends on having zeros computed at points preserved */ 1273 ierr = MatSetOption(M, MAT_IGNORE_ZERO_ENTRIES, PETSC_FALSE);CHKERRQ(ierr); 1274 ierr = PetscMalloc1(maxnnz, &work);CHKERRQ(ierr); 1275 for (i = 0; i < mA; i++) { 1276 const PetscInt *cols; 1277 const PetscScalar *vals; 1278 PetscInt nCols; 1279 ierr = MatGetRow(matA, i, &nCols, &cols, &vals);CHKERRQ(ierr); 1280 for (j = 0; j < nCols / Nk; j++) { 1281 PetscInt newCol = aToMerged[cols[j * Nk] / Nk]; 1282 for (l = 0; l < Nk; l++) work[j * Nk + l] = newCol * Nk + l; 1283 } 1284 ierr = MatSetValuesBlocked(M, 1, &i, nCols, work, vals, INSERT_VALUES);CHKERRQ(ierr); 1285 ierr = MatRestoreRow(matA, i, &nCols, &cols, &vals);CHKERRQ(ierr); 1286 } 1287 for (i = 0; i < mB; i++) { 1288 const PetscInt *cols; 1289 const PetscScalar *vals; 1290 1291 PetscInt row = i + mA; 1292 PetscInt nCols; 1293 ierr = MatGetRow(matB, i, &nCols, &cols, &vals);CHKERRQ(ierr); 1294 for (j = 0; j < nCols / Nk; j++) { 1295 PetscInt newCol = bToMerged[cols[j * Nk] / Nk]; 1296 for (l = 0; l < Nk; l++) work[j * Nk + l] = newCol * Nk + l; 1297 } 1298 ierr = MatSetValuesBlocked(M, 1, &row, nCols, work, vals, INSERT_VALUES);CHKERRQ(ierr); 1299 ierr = MatRestoreRow(matB, i, &nCols, &cols, &vals);CHKERRQ(ierr); 1300 } 1301 ierr = PetscFree(work);CHKERRQ(ierr); 1302 ierr = MatAssemblyBegin(M, MAT_FINAL_ASSEMBLY);CHKERRQ(ierr); 1303 ierr = MatAssemblyEnd(M, MAT_FINAL_ASSEMBLY);CHKERRQ(ierr); 1304 *matMerged = M; 1305 PetscFunctionReturn(0); 1306 } 1307 1308 /* Take a dual space and product a segment space that has all the same specifications (trimmed, continuous, order, 1309 * node set), except for the form degree. For computing boundary dofs and for making tensor product spaces */ 1310 static PetscErrorCode PetscDualSpaceCreateFacetSubspace_Lagrange(PetscDualSpace sp, DM K, PetscInt f, PetscInt k, PetscInt Ncopies, PetscBool interiorOnly, PetscDualSpace *bdsp) 1311 { 1312 PetscInt Nknew, Ncnew; 1313 PetscInt dim, pointDim = -1; 1314 PetscInt depth; 1315 DM dm; 1316 PetscDualSpace_Lag *newlag; 1317 PetscErrorCode ierr; 1318 1319 PetscFunctionBegin; 1320 ierr = PetscDualSpaceGetDM(sp,&dm);CHKERRQ(ierr); 1321 ierr = DMGetDimension(dm,&dim);CHKERRQ(ierr); 1322 ierr = DMPlexGetDepth(dm,&depth);CHKERRQ(ierr); 1323 ierr = PetscDualSpaceDuplicate(sp,bdsp);CHKERRQ(ierr); 1324 ierr = PetscDualSpaceSetFormDegree(*bdsp,k);CHKERRQ(ierr); 1325 if (!K) { 1326 PetscBool isSimplex; 1327 1328 1329 if (depth == dim) { 1330 PetscInt coneSize; 1331 1332 pointDim = dim - 1; 1333 ierr = DMPlexGetConeSize(dm,f,&coneSize);CHKERRQ(ierr); 1334 isSimplex = (PetscBool) (coneSize == dim); 1335 ierr = PetscDualSpaceCreateReferenceCell(*bdsp, dim-1, isSimplex, &K);CHKERRQ(ierr); 1336 } else if (depth == 1) { 1337 pointDim = 0; 1338 ierr = PetscDualSpaceCreateReferenceCell(*bdsp, 0, PETSC_TRUE, &K);CHKERRQ(ierr); 1339 } else SETERRQ(PETSC_COMM_SELF, PETSC_ERR_PLIB, "Unsupported interpolation state of reference element"); 1340 } else { 1341 ierr = PetscObjectReference((PetscObject)K);CHKERRQ(ierr); 1342 ierr = DMGetDimension(K, &pointDim);CHKERRQ(ierr); 1343 } 1344 ierr = PetscDualSpaceSetDM(*bdsp, K);CHKERRQ(ierr); 1345 ierr = DMDestroy(&K);CHKERRQ(ierr); 1346 ierr = PetscDTBinomialInt(pointDim, PetscAbsInt(k), &Nknew);CHKERRQ(ierr); 1347 Ncnew = Nknew * Ncopies; 1348 ierr = PetscDualSpaceSetNumComponents(*bdsp, Ncnew);CHKERRQ(ierr); 1349 newlag = (PetscDualSpace_Lag *) (*bdsp)->data; 1350 newlag->interiorOnly = interiorOnly; 1351 ierr = PetscDualSpaceSetUp(*bdsp);CHKERRQ(ierr); 1352 PetscFunctionReturn(0); 1353 } 1354 1355 /* Construct simplex nodes from a nodefamily, add Nk dof vectors of length Nk at each node. 1356 * Return the (quadrature, matrix) form of the dofs and the nodeIndices form as well. 1357 * 1358 * Sometimes we want a set of nodes to be contained in the interior of the element, 1359 * even when the node scheme puts nodes on the boundaries. numNodeSkip tells 1360 * the routine how many "layers" of nodes need to be skipped. 1361 * */ 1362 static PetscErrorCode PetscDualSpaceLagrangeCreateSimplexNodeMat(Petsc1DNodeFamily nodeFamily, PetscInt dim, PetscInt sum, PetscInt Nk, PetscInt numNodeSkip, PetscQuadrature *iNodes, Mat *iMat, PetscLagNodeIndices *nodeIndices) 1363 { 1364 PetscReal *extraNodeCoords, *nodeCoords; 1365 PetscInt nNodes, nExtraNodes; 1366 PetscInt i, j, k, extraSum = sum + numNodeSkip * (1 + dim); 1367 PetscQuadrature intNodes; 1368 Mat intMat; 1369 PetscLagNodeIndices ni; 1370 PetscErrorCode ierr; 1371 1372 PetscFunctionBegin; 1373 ierr = PetscDTBinomialInt(dim + sum, dim, &nNodes);CHKERRQ(ierr); 1374 ierr = PetscDTBinomialInt(dim + extraSum, dim, &nExtraNodes);CHKERRQ(ierr); 1375 1376 ierr = PetscMalloc1(dim * nExtraNodes, &extraNodeCoords);CHKERRQ(ierr); 1377 ierr = PetscNew(&ni);CHKERRQ(ierr); 1378 ni->nodeIdxDim = dim + 1; 1379 ni->nodeVecDim = Nk; 1380 ni->nNodes = nNodes * Nk; 1381 ni->refct = 1; 1382 ierr = PetscMalloc1(nNodes * Nk * (dim + 1), &(ni->nodeIdx));CHKERRQ(ierr); 1383 ierr = PetscMalloc1(nNodes * Nk * Nk, &(ni->nodeVec));CHKERRQ(ierr); 1384 for (i = 0; i < nNodes; i++) for (j = 0; j < Nk; j++) for (k = 0; k < Nk; k++) ni->nodeVec[(i * Nk + j) * Nk + k] = (j == k) ? 1. : 0.; 1385 ierr = Petsc1DNodeFamilyComputeSimplexNodes(nodeFamily, dim, extraSum, extraNodeCoords);CHKERRQ(ierr); 1386 if (numNodeSkip) { 1387 PetscInt k; 1388 PetscInt *tup; 1389 1390 ierr = PetscMalloc1(dim * nNodes, &nodeCoords);CHKERRQ(ierr); 1391 ierr = PetscMalloc1(dim + 1, &tup);CHKERRQ(ierr); 1392 for (k = 0; k < nNodes; k++) { 1393 PetscInt j, c; 1394 PetscInt index; 1395 1396 ierr = PetscDTIndexToBary(dim + 1, sum, k, tup);CHKERRQ(ierr); 1397 for (j = 0; j < dim + 1; j++) tup[j] += numNodeSkip; 1398 for (c = 0; c < Nk; c++) { 1399 for (j = 0; j < dim + 1; j++) { 1400 ni->nodeIdx[(k * Nk + c) * (dim + 1) + j] = tup[j] + 1; 1401 } 1402 } 1403 ierr = PetscDTBaryToIndex(dim + 1, extraSum, tup, &index);CHKERRQ(ierr); 1404 for (j = 0; j < dim; j++) nodeCoords[k * dim + j] = extraNodeCoords[index * dim + j]; 1405 } 1406 ierr = PetscFree(tup);CHKERRQ(ierr); 1407 ierr = PetscFree(extraNodeCoords);CHKERRQ(ierr); 1408 } else { 1409 PetscInt k; 1410 PetscInt *tup; 1411 1412 nodeCoords = extraNodeCoords; 1413 ierr = PetscMalloc1(dim + 1, &tup);CHKERRQ(ierr); 1414 for (k = 0; k < nNodes; k++) { 1415 PetscInt j, c; 1416 1417 ierr = PetscDTIndexToBary(dim + 1, sum, k, tup);CHKERRQ(ierr); 1418 for (c = 0; c < Nk; c++) { 1419 for (j = 0; j < dim + 1; j++) { 1420 /* barycentric indices can have zeros, but we don't want to push forward zeros because it makes it harder to 1421 * determine which nodes correspond to which under symmetries, so we increase by 1. This is fine 1422 * because the nodeIdx coordinates don't have any meaning other than helping to identify symmetries */ 1423 ni->nodeIdx[(k * Nk + c) * (dim + 1) + j] = tup[j] + 1; 1424 } 1425 } 1426 } 1427 ierr = PetscFree(tup);CHKERRQ(ierr); 1428 } 1429 ierr = PetscQuadratureCreate(PETSC_COMM_SELF, &intNodes);CHKERRQ(ierr); 1430 ierr = PetscQuadratureSetData(intNodes, dim, 0, nNodes, nodeCoords, NULL);CHKERRQ(ierr); 1431 ierr = MatCreateSeqAIJ(PETSC_COMM_SELF, nNodes * Nk, nNodes * Nk, Nk, NULL, &intMat);CHKERRQ(ierr); 1432 ierr = MatSetOption(intMat,MAT_IGNORE_ZERO_ENTRIES,PETSC_FALSE);CHKERRQ(ierr); 1433 for (j = 0; j < nNodes * Nk; j++) { 1434 PetscInt rem = j % Nk; 1435 PetscInt a, aprev = j - rem; 1436 PetscInt anext = aprev + Nk; 1437 1438 for (a = aprev; a < anext; a++) { 1439 ierr = MatSetValue(intMat, j, a, (a == j) ? 1. : 0., INSERT_VALUES);CHKERRQ(ierr); 1440 } 1441 } 1442 ierr = MatAssemblyBegin(intMat, MAT_FINAL_ASSEMBLY);CHKERRQ(ierr); 1443 ierr = MatAssemblyEnd(intMat, MAT_FINAL_ASSEMBLY);CHKERRQ(ierr); 1444 *iNodes = intNodes; 1445 *iMat = intMat; 1446 *nodeIndices = ni; 1447 PetscFunctionReturn(0); 1448 } 1449 1450 /* once the nodeIndices have been created for the interior of the reference cell, and for all of the boundary cells, 1451 * push forward the boudary dofs and concatenate them into the full node indices for the dual space */ 1452 static PetscErrorCode PetscDualSpaceLagrangeCreateAllNodeIdx(PetscDualSpace sp) 1453 { 1454 DM dm; 1455 PetscInt dim, nDofs; 1456 PetscSection section; 1457 PetscInt pStart, pEnd, p; 1458 PetscInt formDegree, Nk; 1459 PetscInt nodeIdxDim, spintdim; 1460 PetscDualSpace_Lag *lag; 1461 PetscLagNodeIndices ni, verti; 1462 PetscErrorCode ierr; 1463 1464 PetscFunctionBegin; 1465 lag = (PetscDualSpace_Lag *) sp->data; 1466 verti = lag->vertIndices; 1467 ierr = PetscDualSpaceGetDM(sp, &dm);CHKERRQ(ierr); 1468 ierr = DMGetDimension(dm, &dim);CHKERRQ(ierr); 1469 ierr = PetscDualSpaceGetFormDegree(sp, &formDegree);CHKERRQ(ierr); 1470 ierr = PetscDTBinomialInt(dim, PetscAbsInt(formDegree), &Nk);CHKERRQ(ierr); 1471 ierr = PetscDualSpaceGetSection(sp, §ion);CHKERRQ(ierr); 1472 ierr = PetscSectionGetStorageSize(section, &nDofs);CHKERRQ(ierr); 1473 ierr = PetscNew(&ni);CHKERRQ(ierr); 1474 ni->nodeIdxDim = nodeIdxDim = verti->nodeIdxDim; 1475 ni->nodeVecDim = Nk; 1476 ni->nNodes = nDofs; 1477 ni->refct = 1; 1478 ierr = PetscMalloc1(nodeIdxDim * nDofs, &(ni->nodeIdx));CHKERRQ(ierr); 1479 ierr = PetscMalloc1(Nk * nDofs, &(ni->nodeVec));CHKERRQ(ierr); 1480 ierr = DMPlexGetChart(dm, &pStart, &pEnd);CHKERRQ(ierr); 1481 ierr = PetscSectionGetDof(section, 0, &spintdim);CHKERRQ(ierr); 1482 if (spintdim) { 1483 ierr = PetscArraycpy(ni->nodeIdx, lag->intNodeIndices->nodeIdx, spintdim * nodeIdxDim);CHKERRQ(ierr); 1484 ierr = PetscArraycpy(ni->nodeVec, lag->intNodeIndices->nodeVec, spintdim * Nk);CHKERRQ(ierr); 1485 } 1486 for (p = pStart + 1; p < pEnd; p++) { 1487 PetscDualSpace psp = sp->pointSpaces[p]; 1488 PetscDualSpace_Lag *plag; 1489 PetscInt dof, off; 1490 1491 ierr = PetscSectionGetDof(section, p, &dof);CHKERRQ(ierr); 1492 if (!dof) continue; 1493 plag = (PetscDualSpace_Lag *) psp->data; 1494 ierr = PetscSectionGetOffset(section, p, &off);CHKERRQ(ierr); 1495 ierr = PetscLagNodeIndicesPushForward(dm, verti, p, plag->vertIndices, plag->intNodeIndices, 0, formDegree, &(ni->nodeIdx[off * nodeIdxDim]), &(ni->nodeVec[off * Nk]));CHKERRQ(ierr); 1496 } 1497 lag->allNodeIndices = ni; 1498 PetscFunctionReturn(0); 1499 } 1500 1501 /* once the (quadrature, Matrix) forms of the dofs have been created for the interior of the 1502 * reference cell and for the boundary cells, jk 1503 * push forward the boundary data and concatenate them into the full (quadrature, matrix) data 1504 * for the dual space */ 1505 static PetscErrorCode PetscDualSpaceCreateAllDataFromInteriorData(PetscDualSpace sp) 1506 { 1507 DM dm; 1508 PetscSection section; 1509 PetscInt pStart, pEnd, p, k, Nk, dim, Nc; 1510 PetscInt nNodes; 1511 PetscInt countNodes; 1512 Mat allMat; 1513 PetscQuadrature allNodes; 1514 PetscInt nDofs; 1515 PetscInt maxNzforms, j; 1516 PetscScalar *work; 1517 PetscReal *L, *J, *Jinv, *v0, *pv0; 1518 PetscInt *iwork; 1519 PetscReal *nodes; 1520 PetscErrorCode ierr; 1521 1522 PetscFunctionBegin; 1523 ierr = PetscDualSpaceGetDM(sp, &dm);CHKERRQ(ierr); 1524 ierr = DMGetDimension(dm, &dim);CHKERRQ(ierr); 1525 ierr = PetscDualSpaceGetSection(sp, §ion);CHKERRQ(ierr); 1526 ierr = PetscSectionGetStorageSize(section, &nDofs);CHKERRQ(ierr); 1527 ierr = DMPlexGetChart(dm, &pStart, &pEnd);CHKERRQ(ierr); 1528 ierr = PetscDualSpaceGetFormDegree(sp, &k);CHKERRQ(ierr); 1529 ierr = PetscDualSpaceGetNumComponents(sp, &Nc);CHKERRQ(ierr); 1530 ierr = PetscDTBinomialInt(dim, PetscAbsInt(k), &Nk);CHKERRQ(ierr); 1531 for (p = pStart, nNodes = 0, maxNzforms = 0; p < pEnd; p++) { 1532 PetscDualSpace psp; 1533 DM pdm; 1534 PetscInt pdim, pNk; 1535 PetscQuadrature intNodes; 1536 Mat intMat; 1537 1538 ierr = PetscDualSpaceGetPointSubspace(sp, p, &psp);CHKERRQ(ierr); 1539 if (!psp) continue; 1540 ierr = PetscDualSpaceGetDM(psp, &pdm);CHKERRQ(ierr); 1541 ierr = DMGetDimension(pdm, &pdim);CHKERRQ(ierr); 1542 if (pdim < PetscAbsInt(k)) continue; 1543 ierr = PetscDTBinomialInt(pdim, PetscAbsInt(k), &pNk);CHKERRQ(ierr); 1544 ierr = PetscDualSpaceGetInteriorData(psp, &intNodes, &intMat);CHKERRQ(ierr); 1545 if (intNodes) { 1546 PetscInt nNodesp; 1547 1548 ierr = PetscQuadratureGetData(intNodes, NULL, NULL, &nNodesp, NULL, NULL);CHKERRQ(ierr); 1549 nNodes += nNodesp; 1550 } 1551 if (intMat) { 1552 PetscInt maxNzsp; 1553 PetscInt maxNzformsp; 1554 1555 ierr = MatSeqAIJGetMaxRowNonzeros(intMat, &maxNzsp);CHKERRQ(ierr); 1556 if (maxNzsp % pNk) SETERRQ(PETSC_COMM_SELF, PETSC_ERR_PLIB, "interior matrix is not laid out as blocks of k-forms"); 1557 maxNzformsp = maxNzsp / pNk; 1558 maxNzforms = PetscMax(maxNzforms, maxNzformsp); 1559 } 1560 } 1561 ierr = MatCreateSeqAIJ(PETSC_COMM_SELF, nDofs, nNodes * Nc, maxNzforms * Nk, NULL, &allMat);CHKERRQ(ierr); 1562 ierr = MatSetOption(allMat,MAT_IGNORE_ZERO_ENTRIES,PETSC_FALSE);CHKERRQ(ierr); 1563 ierr = PetscMalloc7(dim, &v0, dim, &pv0, dim * dim, &J, dim * dim, &Jinv, Nk * Nk, &L, maxNzforms * Nk, &work, maxNzforms * Nk, &iwork);CHKERRQ(ierr); 1564 for (j = 0; j < dim; j++) pv0[j] = -1.; 1565 ierr = PetscMalloc1(dim * nNodes, &nodes);CHKERRQ(ierr); 1566 for (p = pStart, countNodes = 0; p < pEnd; p++) { 1567 PetscDualSpace psp; 1568 PetscQuadrature intNodes; 1569 DM pdm; 1570 PetscInt pdim, pNk; 1571 PetscInt countNodesIn = countNodes; 1572 PetscReal detJ; 1573 Mat intMat; 1574 1575 ierr = PetscDualSpaceGetPointSubspace(sp, p, &psp);CHKERRQ(ierr); 1576 if (!psp) continue; 1577 ierr = PetscDualSpaceGetDM(psp, &pdm);CHKERRQ(ierr); 1578 ierr = DMGetDimension(pdm, &pdim);CHKERRQ(ierr); 1579 if (pdim < PetscAbsInt(k)) continue; 1580 ierr = PetscDualSpaceGetInteriorData(psp, &intNodes, &intMat);CHKERRQ(ierr); 1581 if (intNodes == NULL && intMat == NULL) continue; 1582 ierr = PetscDTBinomialInt(pdim, PetscAbsInt(k), &pNk);CHKERRQ(ierr); 1583 if (p) { 1584 ierr = DMPlexComputeCellGeometryAffineFEM(dm, p, v0, J, Jinv, &detJ);CHKERRQ(ierr); 1585 } else { /* identity */ 1586 PetscInt i,j; 1587 1588 for (i = 0; i < dim; i++) for (j = 0; j < dim; j++) J[i * dim + j] = Jinv[i * dim + j] = 0.; 1589 for (i = 0; i < dim; i++) J[i * dim + i] = Jinv[i * dim + i] = 1.; 1590 for (i = 0; i < dim; i++) v0[i] = -1.; 1591 } 1592 if (pdim != dim) { /* compactify Jacobian */ 1593 PetscInt i, j; 1594 1595 for (i = 0; i < dim; i++) for (j = 0; j < pdim; j++) J[i * pdim + j] = J[i * dim + j]; 1596 } 1597 ierr = PetscDTAltVPullbackMatrix(pdim, dim, J, k, L);CHKERRQ(ierr); 1598 if (intNodes) { /* push forward quadrature locations by the affine transformation */ 1599 PetscInt nNodesp; 1600 const PetscReal *nodesp; 1601 PetscInt j; 1602 1603 ierr = PetscQuadratureGetData(intNodes, NULL, NULL, &nNodesp, &nodesp, NULL);CHKERRQ(ierr); 1604 for (j = 0; j < nNodesp; j++, countNodes++) { 1605 PetscInt d, e; 1606 1607 for (d = 0; d < dim; d++) { 1608 nodes[countNodes * dim + d] = v0[d]; 1609 for (e = 0; e < pdim; e++) { 1610 nodes[countNodes * dim + d] += J[d * pdim + e] * (nodesp[j * pdim + e] - pv0[e]); 1611 } 1612 } 1613 } 1614 } 1615 if (intMat) { 1616 PetscInt nrows; 1617 PetscInt off; 1618 1619 ierr = PetscSectionGetDof(section, p, &nrows);CHKERRQ(ierr); 1620 ierr = PetscSectionGetOffset(section, p, &off);CHKERRQ(ierr); 1621 for (j = 0; j < nrows; j++) { 1622 PetscInt ncols; 1623 const PetscInt *cols; 1624 const PetscScalar *vals; 1625 PetscInt l, d, e; 1626 PetscInt row = j + off; 1627 1628 ierr = MatGetRow(intMat, j, &ncols, &cols, &vals);CHKERRQ(ierr); 1629 if (ncols % pNk) SETERRQ(PETSC_COMM_SELF, PETSC_ERR_PLIB, "interior matrix is not laid out as blocks of k-forms"); 1630 for (l = 0; l < ncols / pNk; l++) { 1631 PetscInt blockcol; 1632 1633 for (d = 0; d < pNk; d++) { 1634 if ((cols[l * pNk + d] % pNk) != d) SETERRQ(PETSC_COMM_SELF, PETSC_ERR_PLIB, "interior matrix is not laid out as blocks of k-forms"); 1635 } 1636 blockcol = cols[l * pNk] / pNk; 1637 for (d = 0; d < Nk; d++) { 1638 iwork[l * Nk + d] = (blockcol + countNodesIn) * Nk + d; 1639 } 1640 for (d = 0; d < Nk; d++) work[l * Nk + d] = 0.; 1641 for (d = 0; d < Nk; d++) { 1642 for (e = 0; e < pNk; e++) { 1643 /* "push forward" dof by pulling back a k-form to be evaluated on the point: multiply on the right by L */ 1644 work[l * Nk + d] += vals[l * pNk + e] * L[e * pNk + d]; 1645 } 1646 } 1647 } 1648 ierr = MatSetValues(allMat, 1, &row, (ncols / pNk) * Nk, iwork, work, INSERT_VALUES);CHKERRQ(ierr); 1649 ierr = MatRestoreRow(intMat, j, &ncols, &cols, &vals);CHKERRQ(ierr); 1650 } 1651 } 1652 } 1653 ierr = MatAssemblyBegin(allMat, MAT_FINAL_ASSEMBLY);CHKERRQ(ierr); 1654 ierr = MatAssemblyEnd(allMat, MAT_FINAL_ASSEMBLY);CHKERRQ(ierr); 1655 ierr = PetscQuadratureCreate(PETSC_COMM_SELF, &allNodes);CHKERRQ(ierr); 1656 ierr = PetscQuadratureSetData(allNodes, dim, 0, nNodes, nodes, NULL);CHKERRQ(ierr); 1657 ierr = PetscFree7(v0, pv0, J, Jinv, L, work, iwork);CHKERRQ(ierr); 1658 ierr = MatDestroy(&(sp->allMat));CHKERRQ(ierr); 1659 sp->allMat = allMat; 1660 ierr = PetscQuadratureDestroy(&(sp->allNodes));CHKERRQ(ierr); 1661 sp->allNodes = allNodes; 1662 PetscFunctionReturn(0); 1663 } 1664 1665 /* rather than trying to get all data from the functionals, we create 1666 * the functionals from rows of the quadrature -> dof matrix. 1667 * 1668 * Ideally most of the uses of PetscDualSpace in PetscFE will switch 1669 * to using intMat and allMat, so that the individual functionals 1670 * don't need to be constructed at all */ 1671 static PetscErrorCode PetscDualSpaceComputeFunctionalsFromAllData(PetscDualSpace sp) 1672 { 1673 PetscQuadrature allNodes; 1674 Mat allMat; 1675 PetscInt nDofs; 1676 PetscInt dim, k, Nk, Nc, f; 1677 DM dm; 1678 PetscInt nNodes, spdim; 1679 const PetscReal *nodes = NULL; 1680 PetscSection section; 1681 PetscErrorCode ierr; 1682 1683 PetscFunctionBegin; 1684 ierr = PetscDualSpaceGetDM(sp, &dm);CHKERRQ(ierr); 1685 ierr = DMGetDimension(dm, &dim);CHKERRQ(ierr); 1686 ierr = PetscDualSpaceGetNumComponents(sp, &Nc);CHKERRQ(ierr); 1687 ierr = PetscDualSpaceGetFormDegree(sp, &k);CHKERRQ(ierr); 1688 ierr = PetscDTBinomialInt(dim, PetscAbsInt(k), &Nk);CHKERRQ(ierr); 1689 ierr = PetscDualSpaceGetAllData(sp, &allNodes, &allMat);CHKERRQ(ierr); 1690 nNodes = 0; 1691 if (allNodes) { 1692 ierr = PetscQuadratureGetData(allNodes, NULL, NULL, &nNodes, &nodes, NULL);CHKERRQ(ierr); 1693 } 1694 ierr = MatGetSize(allMat, &nDofs, NULL);CHKERRQ(ierr); 1695 ierr = PetscDualSpaceGetSection(sp, §ion);CHKERRQ(ierr); 1696 ierr = PetscSectionGetStorageSize(section, &spdim);CHKERRQ(ierr); 1697 if (spdim != nDofs) SETERRQ(PETSC_COMM_SELF, PETSC_ERR_PLIB, "incompatible all matrix size"); 1698 ierr = PetscMalloc1(nDofs, &(sp->functional));CHKERRQ(ierr); 1699 for (f = 0; f < nDofs; f++) { 1700 PetscInt ncols, c; 1701 const PetscInt *cols; 1702 const PetscScalar *vals; 1703 PetscReal *nodesf; 1704 PetscReal *weightsf; 1705 PetscInt nNodesf; 1706 PetscInt countNodes; 1707 1708 ierr = MatGetRow(allMat, f, &ncols, &cols, &vals);CHKERRQ(ierr); 1709 if (ncols % Nk) SETERRQ(PETSC_COMM_SELF, PETSC_ERR_PLIB, "all matrix is not laid out as blocks of k-forms"); 1710 for (c = 1, nNodesf = 1; c < ncols; c++) { 1711 if ((cols[c] / Nc) != (cols[c-1] / Nc)) nNodesf++; 1712 } 1713 ierr = PetscMalloc1(dim * nNodesf, &nodesf);CHKERRQ(ierr); 1714 ierr = PetscMalloc1(Nc * nNodesf, &weightsf);CHKERRQ(ierr); 1715 for (c = 0, countNodes = 0; c < ncols; c++) { 1716 if (!c || ((cols[c] / Nc) != (cols[c-1] / Nc))) { 1717 PetscInt d; 1718 1719 for (d = 0; d < Nc; d++) { 1720 weightsf[countNodes * Nc + d] = 0.; 1721 } 1722 for (d = 0; d < dim; d++) { 1723 nodesf[countNodes * dim + d] = nodes[(cols[c] / Nc) * dim + d]; 1724 } 1725 countNodes++; 1726 } 1727 weightsf[(countNodes - 1) * Nc + (cols[c] % Nc)] = PetscRealPart(vals[c]); 1728 } 1729 ierr = PetscQuadratureCreate(PETSC_COMM_SELF, &(sp->functional[f]));CHKERRQ(ierr); 1730 ierr = PetscQuadratureSetData(sp->functional[f], dim, Nc, nNodesf, nodesf, weightsf);CHKERRQ(ierr); 1731 ierr = MatRestoreRow(allMat, f, &ncols, &cols, &vals);CHKERRQ(ierr); 1732 } 1733 PetscFunctionReturn(0); 1734 } 1735 1736 /* take a matrix meant for k-forms and expand it to one for Ncopies */ 1737 static PetscErrorCode PetscDualSpaceLagrangeMatrixCreateCopies(Mat A, PetscInt Nk, PetscInt Ncopies, Mat *Abs) 1738 { 1739 PetscInt m, n, i, j, k; 1740 PetscInt maxnnz, *nnz, *iwork; 1741 Mat Ac; 1742 PetscErrorCode ierr; 1743 1744 PetscFunctionBegin; 1745 ierr = MatGetSize(A, &m, &n);CHKERRQ(ierr); 1746 if (n % Nk) SETERRQ2(PETSC_COMM_SELF, PETSC_ERR_PLIB, "Number of columns in A %D is not a multiple of Nk %D", n, Nk); 1747 ierr = PetscMalloc1(m * Ncopies, &nnz);CHKERRQ(ierr); 1748 for (i = 0, maxnnz = 0; i < m; i++) { 1749 PetscInt innz; 1750 ierr = MatGetRow(A, i, &innz, NULL, NULL);CHKERRQ(ierr); 1751 if (innz % Nk) SETERRQ2(PETSC_COMM_SELF, PETSC_ERR_PLIB, "A row %D nnzs is not a multiple of Nk %D", innz, Nk); 1752 for (j = 0; j < Ncopies; j++) nnz[i * Ncopies + j] = innz; 1753 maxnnz = PetscMax(maxnnz, innz); 1754 } 1755 ierr = MatCreateSeqAIJ(PETSC_COMM_SELF, m * Ncopies, n * Ncopies, 0, nnz, &Ac);CHKERRQ(ierr); 1756 ierr = MatSetOption(Ac, MAT_IGNORE_ZERO_ENTRIES, PETSC_FALSE);CHKERRQ(ierr); 1757 ierr = PetscFree(nnz);CHKERRQ(ierr); 1758 ierr = PetscMalloc1(maxnnz, &iwork);CHKERRQ(ierr); 1759 for (i = 0; i < m; i++) { 1760 PetscInt innz; 1761 const PetscInt *cols; 1762 const PetscScalar *vals; 1763 1764 ierr = MatGetRow(A, i, &innz, &cols, &vals);CHKERRQ(ierr); 1765 for (j = 0; j < innz; j++) iwork[j] = (cols[j] / Nk) * (Nk * Ncopies) + (cols[j] % Nk); 1766 for (j = 0; j < Ncopies; j++) { 1767 PetscInt row = i * Ncopies + j; 1768 1769 ierr = MatSetValues(Ac, 1, &row, innz, iwork, vals, INSERT_VALUES);CHKERRQ(ierr); 1770 for (k = 0; k < innz; k++) iwork[k] += Nk; 1771 } 1772 ierr = MatRestoreRow(A, i, &innz, &cols, &vals);CHKERRQ(ierr); 1773 } 1774 ierr = PetscFree(iwork);CHKERRQ(ierr); 1775 ierr = MatAssemblyBegin(Ac, MAT_FINAL_ASSEMBLY);CHKERRQ(ierr); 1776 ierr = MatAssemblyEnd(Ac, MAT_FINAL_ASSEMBLY);CHKERRQ(ierr); 1777 *Abs = Ac; 1778 PetscFunctionReturn(0); 1779 } 1780 1781 /* check if a cell is a tensor product of the segment with a facet, 1782 * specifically checking if f and f2 can be the "endpoints" (like the triangles 1783 * at either end of a wedge) */ 1784 static PetscErrorCode DMPlexPointIsTensor_Internal_Given(DM dm, PetscInt p, PetscInt f, PetscInt f2, PetscBool *isTensor) 1785 { 1786 PetscInt coneSize, c; 1787 const PetscInt *cone; 1788 const PetscInt *fCone; 1789 const PetscInt *f2Cone; 1790 PetscInt fs[2]; 1791 PetscInt meetSize, nmeet; 1792 const PetscInt *meet; 1793 PetscErrorCode ierr; 1794 1795 PetscFunctionBegin; 1796 fs[0] = f; 1797 fs[1] = f2; 1798 ierr = DMPlexGetMeet(dm, 2, fs, &meetSize, &meet);CHKERRQ(ierr); 1799 nmeet = meetSize; 1800 ierr = DMPlexRestoreMeet(dm, 2, fs, &meetSize, &meet);CHKERRQ(ierr); 1801 /* two points that have a non-empty meet cannot be at opposite ends of a cell */ 1802 if (nmeet) { 1803 *isTensor = PETSC_FALSE; 1804 PetscFunctionReturn(0); 1805 } 1806 ierr = DMPlexGetConeSize(dm, p, &coneSize);CHKERRQ(ierr); 1807 ierr = DMPlexGetCone(dm, p, &cone);CHKERRQ(ierr); 1808 ierr = DMPlexGetCone(dm, f, &fCone);CHKERRQ(ierr); 1809 ierr = DMPlexGetCone(dm, f2, &f2Cone);CHKERRQ(ierr); 1810 for (c = 0; c < coneSize; c++) { 1811 PetscInt e, ef; 1812 PetscInt d = -1, d2 = -1; 1813 PetscInt dcount, d2count; 1814 PetscInt t = cone[c]; 1815 PetscInt tConeSize; 1816 PetscBool tIsTensor; 1817 const PetscInt *tCone; 1818 1819 if (t == f || t == f2) continue; 1820 /* for every other facet in the cone, check that is has 1821 * one ridge in common with each end */ 1822 ierr = DMPlexGetConeSize(dm, t, &tConeSize);CHKERRQ(ierr); 1823 ierr = DMPlexGetCone(dm, t, &tCone);CHKERRQ(ierr); 1824 1825 dcount = 0; 1826 d2count = 0; 1827 for (e = 0; e < tConeSize; e++) { 1828 PetscInt q = tCone[e]; 1829 for (ef = 0; ef < coneSize - 2; ef++) { 1830 if (fCone[ef] == q) { 1831 if (dcount) { 1832 *isTensor = PETSC_FALSE; 1833 PetscFunctionReturn(0); 1834 } 1835 d = q; 1836 dcount++; 1837 } else if (f2Cone[ef] == q) { 1838 if (d2count) { 1839 *isTensor = PETSC_FALSE; 1840 PetscFunctionReturn(0); 1841 } 1842 d2 = q; 1843 d2count++; 1844 } 1845 } 1846 } 1847 /* if the whole cell is a tensor with the segment, then this 1848 * facet should be a tensor with the segment */ 1849 ierr = DMPlexPointIsTensor_Internal_Given(dm, t, d, d2, &tIsTensor);CHKERRQ(ierr); 1850 if (!tIsTensor) { 1851 *isTensor = PETSC_FALSE; 1852 PetscFunctionReturn(0); 1853 } 1854 } 1855 *isTensor = PETSC_TRUE; 1856 PetscFunctionReturn(0); 1857 } 1858 1859 /* determine if a cell is a tensor with a segment by looping over pairs of facets to find a pair 1860 * that could be the opposite ends */ 1861 static PetscErrorCode DMPlexPointIsTensor_Internal(DM dm, PetscInt p, PetscBool *isTensor, PetscInt *endA, PetscInt *endB) 1862 { 1863 PetscInt coneSize, c, c2; 1864 const PetscInt *cone; 1865 PetscErrorCode ierr; 1866 1867 PetscFunctionBegin; 1868 ierr = DMPlexGetConeSize(dm, p, &coneSize);CHKERRQ(ierr); 1869 if (!coneSize) { 1870 if (isTensor) *isTensor = PETSC_FALSE; 1871 if (endA) *endA = -1; 1872 if (endB) *endB = -1; 1873 } 1874 ierr = DMPlexGetCone(dm, p, &cone);CHKERRQ(ierr); 1875 for (c = 0; c < coneSize; c++) { 1876 PetscInt f = cone[c]; 1877 PetscInt fConeSize; 1878 1879 ierr = DMPlexGetConeSize(dm, f, &fConeSize);CHKERRQ(ierr); 1880 if (fConeSize != coneSize - 2) continue; 1881 1882 for (c2 = c + 1; c2 < coneSize; c2++) { 1883 PetscInt f2 = cone[c2]; 1884 PetscBool isTensorff2; 1885 PetscInt f2ConeSize; 1886 1887 ierr = DMPlexGetConeSize(dm, f2, &f2ConeSize);CHKERRQ(ierr); 1888 if (f2ConeSize != coneSize - 2) continue; 1889 1890 ierr = DMPlexPointIsTensor_Internal_Given(dm, p, f, f2, &isTensorff2);CHKERRQ(ierr); 1891 if (isTensorff2) { 1892 if (isTensor) *isTensor = PETSC_TRUE; 1893 if (endA) *endA = f; 1894 if (endB) *endB = f2; 1895 PetscFunctionReturn(0); 1896 } 1897 } 1898 } 1899 if (isTensor) *isTensor = PETSC_FALSE; 1900 if (endA) *endA = -1; 1901 if (endB) *endB = -1; 1902 PetscFunctionReturn(0); 1903 } 1904 1905 /* determine if a cell is a tensor with a segment by looping over pairs of facets to find a pair 1906 * that could be the opposite ends */ 1907 static PetscErrorCode DMPlexPointIsTensor(DM dm, PetscInt p, PetscBool *isTensor, PetscInt *endA, PetscInt *endB) 1908 { 1909 DMPlexInterpolatedFlag interpolated; 1910 PetscErrorCode ierr; 1911 1912 PetscFunctionBegin; 1913 ierr = DMPlexIsInterpolated(dm, &interpolated);CHKERRQ(ierr); 1914 if (interpolated != DMPLEX_INTERPOLATED_FULL) SETERRQ(PetscObjectComm((PetscObject)dm), PETSC_ERR_ARG_WRONGSTATE, "Only for interpolated DMPlex's"); 1915 ierr = DMPlexPointIsTensor_Internal(dm, p, isTensor, endA, endB);CHKERRQ(ierr); 1916 PetscFunctionReturn(0); 1917 } 1918 1919 /* permute a quadrature -> dof matrix so that its rows are in revlex order by nodeIdx */ 1920 static PetscErrorCode MatPermuteByNodeIdx(Mat A, PetscLagNodeIndices ni, Mat *Aperm) 1921 { 1922 PetscInt m, n, i, j; 1923 PetscInt nodeIdxDim = ni->nodeIdxDim; 1924 PetscInt nodeVecDim = ni->nodeVecDim; 1925 PetscInt *perm; 1926 IS permIS; 1927 IS id; 1928 PetscInt *nIdxPerm; 1929 PetscReal *nVecPerm; 1930 PetscErrorCode ierr; 1931 1932 PetscFunctionBegin; 1933 ierr = PetscLagNodeIndicesGetPermutation(ni, &perm);CHKERRQ(ierr); 1934 ierr = MatGetSize(A, &m, &n);CHKERRQ(ierr); 1935 ierr = PetscMalloc1(nodeIdxDim * m, &nIdxPerm);CHKERRQ(ierr); 1936 ierr = PetscMalloc1(nodeVecDim * m, &nVecPerm);CHKERRQ(ierr); 1937 for (i = 0; i < m; i++) for (j = 0; j < nodeIdxDim; j++) nIdxPerm[i * nodeIdxDim + j] = ni->nodeIdx[perm[i] * nodeIdxDim + j]; 1938 for (i = 0; i < m; i++) for (j = 0; j < nodeVecDim; j++) nVecPerm[i * nodeVecDim + j] = ni->nodeVec[perm[i] * nodeVecDim + j]; 1939 ierr = ISCreateGeneral(PETSC_COMM_SELF, m, perm, PETSC_USE_POINTER, &permIS);CHKERRQ(ierr); 1940 ierr = ISSetPermutation(permIS);CHKERRQ(ierr); 1941 ierr = ISCreateStride(PETSC_COMM_SELF, n, 0, 1, &id);CHKERRQ(ierr); 1942 ierr = ISSetPermutation(id);CHKERRQ(ierr); 1943 ierr = MatPermute(A, permIS, id, Aperm);CHKERRQ(ierr); 1944 ierr = ISDestroy(&permIS);CHKERRQ(ierr); 1945 ierr = ISDestroy(&id);CHKERRQ(ierr); 1946 for (i = 0; i < m; i++) perm[i] = i; 1947 ierr = PetscFree(ni->nodeIdx);CHKERRQ(ierr); 1948 ierr = PetscFree(ni->nodeVec);CHKERRQ(ierr); 1949 ni->nodeIdx = nIdxPerm; 1950 ni->nodeVec = nVecPerm; 1951 PetscFunctionReturn(0); 1952 } 1953 1954 static PetscErrorCode PetscDualSpaceSetUp_Lagrange(PetscDualSpace sp) 1955 { 1956 PetscDualSpace_Lag *lag = (PetscDualSpace_Lag *) sp->data; 1957 DM dm = sp->dm; 1958 DM dmint = NULL; 1959 PetscInt order; 1960 PetscInt Nc = sp->Nc; 1961 MPI_Comm comm; 1962 PetscBool continuous; 1963 PetscSection section; 1964 PetscInt depth, dim, pStart, pEnd, cStart, cEnd, p, *pStratStart, *pStratEnd, d; 1965 PetscInt formDegree, Nk, Ncopies; 1966 PetscInt tensorf = -1, tensorf2 = -1; 1967 PetscBool tensorCell, tensorSpace; 1968 PetscBool uniform, trimmed; 1969 Petsc1DNodeFamily nodeFamily; 1970 PetscInt numNodeSkip; 1971 DMPlexInterpolatedFlag interpolated; 1972 PetscBool isbdm; 1973 PetscErrorCode ierr; 1974 1975 PetscFunctionBegin; 1976 /* step 1: sanitize input */ 1977 ierr = PetscObjectGetComm((PetscObject) sp, &comm);CHKERRQ(ierr); 1978 ierr = DMGetDimension(dm, &dim);CHKERRQ(ierr); 1979 ierr = PetscObjectTypeCompare((PetscObject)sp, PETSCDUALSPACEBDM, &isbdm);CHKERRQ(ierr); 1980 if (isbdm) { 1981 sp->k = -(dim-1); /* form degree of H-div */ 1982 ierr = PetscObjectChangeTypeName((PetscObject)sp, PETSCDUALSPACELAGRANGE);CHKERRQ(ierr); 1983 } 1984 ierr = PetscDualSpaceGetFormDegree(sp, &formDegree);CHKERRQ(ierr); 1985 if (PetscAbsInt(formDegree) > dim) SETERRQ(comm, PETSC_ERR_ARG_OUTOFRANGE, "Form degree must be bounded by dimension"); 1986 ierr = PetscDTBinomialInt(dim,PetscAbsInt(formDegree),&Nk);CHKERRQ(ierr); 1987 if (sp->Nc <= 0 && lag->numCopies > 0) sp->Nc = Nk * lag->numCopies; 1988 Nc = sp->Nc; 1989 if (Nc % Nk) SETERRQ(comm, PETSC_ERR_ARG_INCOMP, "Number of components is not a multiple of form degree size"); 1990 if (lag->numCopies <= 0) lag->numCopies = Nc / Nk; 1991 Ncopies = lag->numCopies; 1992 if (Nc / Nk != Ncopies) SETERRQ(comm, PETSC_ERR_ARG_INCOMP, "Number of copies * (dim choose k) != Nc"); 1993 if (!dim) sp->order = 0; 1994 order = sp->order; 1995 uniform = sp->uniform; 1996 if (!uniform) SETERRQ(PETSC_COMM_SELF, PETSC_ERR_SUP, "Variable order not supported yet"); 1997 if (lag->trimmed && !formDegree) lag->trimmed = PETSC_FALSE; /* trimmed spaces are the same as full spaces for 0-forms */ 1998 if (lag->nodeType == PETSCDTNODES_DEFAULT) { 1999 lag->nodeType = PETSCDTNODES_GAUSSJACOBI; 2000 lag->nodeExponent = 0.; 2001 /* trimmed spaces don't include corner vertices, so don't use end nodes by default */ 2002 lag->endNodes = lag->trimmed ? PETSC_FALSE : PETSC_TRUE; 2003 } 2004 /* If a trimmed space and the user did choose nodes with endpoints, skip them by default */ 2005 if (lag->numNodeSkip < 0) lag->numNodeSkip = (lag->trimmed && lag->endNodes) ? 1 : 0; 2006 numNodeSkip = lag->numNodeSkip; 2007 if (lag->trimmed && !order) SETERRQ(PETSC_COMM_SELF, PETSC_ERR_ARG_OUTOFRANGE, "Cannot have zeroth order trimmed elements"); 2008 if (lag->trimmed && PetscAbsInt(formDegree) == dim) { /* convert trimmed n-forms to untrimmed of one polynomial order less */ 2009 sp->order--; 2010 order--; 2011 lag->trimmed = PETSC_FALSE; 2012 } 2013 trimmed = lag->trimmed; 2014 if (!order || PetscAbsInt(formDegree) == dim) lag->continuous = PETSC_FALSE; 2015 continuous = lag->continuous; 2016 ierr = DMPlexGetDepth(dm, &depth);CHKERRQ(ierr); 2017 ierr = DMPlexGetChart(dm, &pStart, &pEnd);CHKERRQ(ierr); 2018 ierr = DMPlexGetHeightStratum(dm, 0, &cStart, &cEnd);CHKERRQ(ierr); 2019 if (pStart != 0 || cStart != 0) SETERRQ(PetscObjectComm((PetscObject)sp), PETSC_ERR_ARG_WRONGSTATE, "Expect DM with chart starting at zero and cells first"); 2020 if (cEnd != 1) SETERRQ(PetscObjectComm((PetscObject)sp), PETSC_ERR_ARG_WRONGSTATE, "Use PETSCDUALSPACEREFINED for multi-cell reference meshes"); 2021 ierr = DMPlexIsInterpolated(dm, &interpolated);CHKERRQ(ierr); 2022 if (interpolated != DMPLEX_INTERPOLATED_FULL) { 2023 ierr = DMPlexInterpolate(dm, &dmint);CHKERRQ(ierr); 2024 } else { 2025 ierr = PetscObjectReference((PetscObject)dm);CHKERRQ(ierr); 2026 dmint = dm; 2027 } 2028 tensorCell = PETSC_FALSE; 2029 if (dim > 1) { 2030 ierr = DMPlexPointIsTensor(dmint, 0, &tensorCell, &tensorf, &tensorf2);CHKERRQ(ierr); 2031 } 2032 lag->tensorCell = tensorCell; 2033 if (dim < 2 || !lag->tensorCell) lag->tensorSpace = PETSC_FALSE; 2034 tensorSpace = lag->tensorSpace; 2035 if (!lag->nodeFamily) { 2036 ierr = Petsc1DNodeFamilyCreate(lag->nodeType, lag->nodeExponent, lag->endNodes, &lag->nodeFamily);CHKERRQ(ierr); 2037 } 2038 nodeFamily = lag->nodeFamily; 2039 if (interpolated != DMPLEX_INTERPOLATED_FULL && continuous && (PetscAbsInt(formDegree) > 0 || order > 1)) SETERRQ(PETSC_COMM_SELF,PETSC_ERR_PLIB,"Reference element won't support all boundary nodes"); 2040 2041 /* step 2: construct the boundary spaces */ 2042 ierr = PetscMalloc2(depth+1,&pStratStart,depth+1,&pStratEnd);CHKERRQ(ierr); 2043 ierr = PetscCalloc1(pEnd,&(sp->pointSpaces));CHKERRQ(ierr); 2044 for (d = 0; d <= depth; ++d) {ierr = DMPlexGetDepthStratum(dm, d, &pStratStart[d], &pStratEnd[d]);CHKERRQ(ierr);} 2045 ierr = PetscDualSpaceSectionCreate_Internal(sp, §ion);CHKERRQ(ierr); 2046 sp->pointSection = section; 2047 if (continuous && !(lag->interiorOnly)) { 2048 PetscInt h; 2049 2050 for (p = pStratStart[depth - 1]; p < pStratEnd[depth - 1]; p++) { /* calculate the facet dual spaces */ 2051 PetscReal v0[3]; 2052 DMPolytopeType ptype; 2053 PetscReal J[9], detJ; 2054 PetscInt q; 2055 2056 ierr = DMPlexComputeCellGeometryAffineFEM(dm, p, v0, J, NULL, &detJ);CHKERRQ(ierr); 2057 ierr = DMPlexGetCellType(dm, p, &ptype);CHKERRQ(ierr); 2058 2059 /* compare to previous facets: if computed, reference that dualspace */ 2060 for (q = pStratStart[depth - 1]; q < p; q++) { 2061 DMPolytopeType qtype; 2062 2063 ierr = DMPlexGetCellType(dm, q, &qtype);CHKERRQ(ierr); 2064 if (qtype == ptype) break; 2065 } 2066 if (q < p) { /* this facet has the same dual space as that one */ 2067 ierr = PetscObjectReference((PetscObject)sp->pointSpaces[q]);CHKERRQ(ierr); 2068 sp->pointSpaces[p] = sp->pointSpaces[q]; 2069 continue; 2070 } 2071 /* if not, recursively compute this dual space */ 2072 ierr = PetscDualSpaceCreateFacetSubspace_Lagrange(sp,NULL,p,formDegree,Ncopies,PETSC_FALSE,&sp->pointSpaces[p]);CHKERRQ(ierr); 2073 } 2074 for (h = 2; h <= depth; h++) { /* get the higher subspaces from the facet subspaces */ 2075 PetscInt hd = depth - h; 2076 PetscInt hdim = dim - h; 2077 2078 if (hdim < PetscAbsInt(formDegree)) break; 2079 for (p = pStratStart[hd]; p < pStratEnd[hd]; p++) { 2080 PetscInt suppSize, s; 2081 const PetscInt *supp; 2082 2083 ierr = DMPlexGetSupportSize(dm, p, &suppSize);CHKERRQ(ierr); 2084 ierr = DMPlexGetSupport(dm, p, &supp);CHKERRQ(ierr); 2085 for (s = 0; s < suppSize; s++) { 2086 DM qdm; 2087 PetscDualSpace qsp, psp; 2088 PetscInt c, coneSize, q; 2089 const PetscInt *cone; 2090 const PetscInt *refCone; 2091 2092 q = supp[0]; 2093 qsp = sp->pointSpaces[q]; 2094 ierr = DMPlexGetConeSize(dm, q, &coneSize);CHKERRQ(ierr); 2095 ierr = DMPlexGetCone(dm, q, &cone);CHKERRQ(ierr); 2096 for (c = 0; c < coneSize; c++) if (cone[c] == p) break; 2097 if (c == coneSize) SETERRQ(PetscObjectComm((PetscObject)dm), PETSC_ERR_PLIB, "cone/support mismatch"); 2098 ierr = PetscDualSpaceGetDM(qsp, &qdm);CHKERRQ(ierr); 2099 ierr = DMPlexGetCone(qdm, 0, &refCone);CHKERRQ(ierr); 2100 /* get the equivalent dual space from the support dual space */ 2101 ierr = PetscDualSpaceGetPointSubspace(qsp, refCone[c], &psp);CHKERRQ(ierr); 2102 if (!s) { 2103 ierr = PetscObjectReference((PetscObject)psp);CHKERRQ(ierr); 2104 sp->pointSpaces[p] = psp; 2105 } 2106 } 2107 } 2108 } 2109 for (p = 1; p < pEnd; p++) { 2110 PetscInt pspdim; 2111 if (!sp->pointSpaces[p]) continue; 2112 ierr = PetscDualSpaceGetInteriorDimension(sp->pointSpaces[p], &pspdim);CHKERRQ(ierr); 2113 ierr = PetscSectionSetDof(section, p, pspdim);CHKERRQ(ierr); 2114 } 2115 } 2116 2117 if (Ncopies > 1) { 2118 Mat intMatScalar, allMatScalar; 2119 PetscDualSpace scalarsp; 2120 PetscDualSpace_Lag *scalarlag; 2121 2122 ierr = PetscDualSpaceDuplicate(sp, &scalarsp);CHKERRQ(ierr); 2123 /* Setting the number of components to Nk is a space with 1 copy of each k-form */ 2124 ierr = PetscDualSpaceSetNumComponents(scalarsp, Nk);CHKERRQ(ierr); 2125 ierr = PetscDualSpaceSetUp(scalarsp);CHKERRQ(ierr); 2126 ierr = PetscDualSpaceGetInteriorData(scalarsp, &(sp->intNodes), &intMatScalar);CHKERRQ(ierr); 2127 ierr = PetscObjectReference((PetscObject)(sp->intNodes));CHKERRQ(ierr); 2128 if (intMatScalar) {ierr = PetscDualSpaceLagrangeMatrixCreateCopies(intMatScalar, Nk, Ncopies, &(sp->intMat));CHKERRQ(ierr);} 2129 ierr = PetscDualSpaceGetAllData(scalarsp, &(sp->allNodes), &allMatScalar);CHKERRQ(ierr); 2130 ierr = PetscObjectReference((PetscObject)(sp->allNodes));CHKERRQ(ierr); 2131 ierr = PetscDualSpaceLagrangeMatrixCreateCopies(allMatScalar, Nk, Ncopies, &(sp->allMat));CHKERRQ(ierr); 2132 sp->spdim = scalarsp->spdim * Ncopies; 2133 sp->spintdim = scalarsp->spintdim * Ncopies; 2134 scalarlag = (PetscDualSpace_Lag *) scalarsp->data; 2135 ierr = PetscLagNodeIndicesReference(scalarlag->vertIndices);CHKERRQ(ierr); 2136 lag->vertIndices = scalarlag->vertIndices; 2137 ierr = PetscLagNodeIndicesReference(scalarlag->intNodeIndices);CHKERRQ(ierr); 2138 lag->intNodeIndices = scalarlag->intNodeIndices; 2139 ierr = PetscLagNodeIndicesReference(scalarlag->allNodeIndices);CHKERRQ(ierr); 2140 lag->allNodeIndices = scalarlag->allNodeIndices; 2141 ierr = PetscDualSpaceDestroy(&scalarsp);CHKERRQ(ierr); 2142 ierr = PetscSectionSetDof(section, 0, sp->spintdim);CHKERRQ(ierr); 2143 ierr = PetscDualSpaceSectionSetUp_Internal(sp, section);CHKERRQ(ierr); 2144 ierr = PetscDualSpaceComputeFunctionalsFromAllData(sp);CHKERRQ(ierr); 2145 ierr = PetscFree2(pStratStart, pStratEnd);CHKERRQ(ierr); 2146 ierr = DMDestroy(&dmint);CHKERRQ(ierr); 2147 PetscFunctionReturn(0); 2148 } 2149 2150 if (trimmed && !continuous) { 2151 /* the dofs of a trimmed space don't have a nice tensor/lattice structure: 2152 * just construct the continuous dual space and copy all of the data over, 2153 * allocating it all to the cell instead of splitting it up between the boundaries */ 2154 PetscDualSpace spcont; 2155 PetscInt spdim, f; 2156 PetscQuadrature allNodes; 2157 PetscDualSpace_Lag *lagc; 2158 Mat allMat; 2159 2160 ierr = PetscDualSpaceDuplicate(sp, &spcont);CHKERRQ(ierr); 2161 ierr = PetscDualSpaceLagrangeSetContinuity(spcont, PETSC_TRUE);CHKERRQ(ierr); 2162 ierr = PetscDualSpaceSetUp(spcont);CHKERRQ(ierr); 2163 ierr = PetscDualSpaceGetDimension(spcont, &spdim);CHKERRQ(ierr); 2164 sp->spdim = sp->spintdim = spdim; 2165 ierr = PetscSectionSetDof(section, 0, spdim);CHKERRQ(ierr); 2166 ierr = PetscDualSpaceSectionSetUp_Internal(sp, section);CHKERRQ(ierr); 2167 ierr = PetscMalloc1(spdim, &(sp->functional));CHKERRQ(ierr); 2168 for (f = 0; f < spdim; f++) { 2169 PetscQuadrature fn; 2170 2171 ierr = PetscDualSpaceGetFunctional(spcont, f, &fn);CHKERRQ(ierr); 2172 ierr = PetscObjectReference((PetscObject)fn);CHKERRQ(ierr); 2173 sp->functional[f] = fn; 2174 } 2175 ierr = PetscDualSpaceGetAllData(spcont, &allNodes, &allMat);CHKERRQ(ierr); 2176 ierr = PetscObjectReference((PetscObject) allNodes);CHKERRQ(ierr); 2177 ierr = PetscObjectReference((PetscObject) allNodes);CHKERRQ(ierr); 2178 sp->allNodes = sp->intNodes = allNodes; 2179 ierr = PetscObjectReference((PetscObject) allMat);CHKERRQ(ierr); 2180 ierr = PetscObjectReference((PetscObject) allMat);CHKERRQ(ierr); 2181 sp->allMat = sp->intMat = allMat; 2182 lagc = (PetscDualSpace_Lag *) spcont->data; 2183 ierr = PetscLagNodeIndicesReference(lagc->vertIndices);CHKERRQ(ierr); 2184 lag->vertIndices = lagc->vertIndices; 2185 ierr = PetscLagNodeIndicesReference(lagc->allNodeIndices);CHKERRQ(ierr); 2186 ierr = PetscLagNodeIndicesReference(lagc->allNodeIndices);CHKERRQ(ierr); 2187 lag->intNodeIndices = lagc->allNodeIndices; 2188 lag->allNodeIndices = lagc->allNodeIndices; 2189 ierr = PetscDualSpaceDestroy(&spcont);CHKERRQ(ierr); 2190 ierr = PetscFree2(pStratStart, pStratEnd);CHKERRQ(ierr); 2191 ierr = DMDestroy(&dmint);CHKERRQ(ierr); 2192 PetscFunctionReturn(0); 2193 } 2194 2195 /* step 3: construct intNodes, and intMat, and combine it with boundray data to make allNodes and allMat */ 2196 if (!tensorSpace) { 2197 if (!tensorCell) {ierr = PetscLagNodeIndicesCreateSimplexVertices(dm, &(lag->vertIndices));CHKERRQ(ierr);} 2198 2199 if (trimmed) { 2200 /* there is one dof in the interior of the a trimmed element for each full polynomial of with degree at most 2201 * order + k - dim - 1 */ 2202 if (order + PetscAbsInt(formDegree) > dim) { 2203 PetscInt sum = order + PetscAbsInt(formDegree) - dim - 1; 2204 PetscInt nDofs; 2205 2206 ierr = PetscDualSpaceLagrangeCreateSimplexNodeMat(nodeFamily, dim, sum, Nk, numNodeSkip, &sp->intNodes, &sp->intMat, &(lag->intNodeIndices));CHKERRQ(ierr); 2207 ierr = MatGetSize(sp->intMat, &nDofs, NULL);CHKERRQ(ierr); 2208 ierr = PetscSectionSetDof(section, 0, nDofs);CHKERRQ(ierr); 2209 } 2210 ierr = PetscDualSpaceSectionSetUp_Internal(sp, section);CHKERRQ(ierr); 2211 ierr = PetscDualSpaceCreateAllDataFromInteriorData(sp);CHKERRQ(ierr); 2212 ierr = PetscDualSpaceLagrangeCreateAllNodeIdx(sp);CHKERRQ(ierr); 2213 } else { 2214 if (!continuous) { 2215 /* if discontinuous just construct one node for each set of dofs (a set of dofs is a basis for the k-form 2216 * space) */ 2217 PetscInt sum = order; 2218 PetscInt nDofs; 2219 2220 ierr = PetscDualSpaceLagrangeCreateSimplexNodeMat(nodeFamily, dim, sum, Nk, numNodeSkip, &sp->intNodes, &sp->intMat, &(lag->intNodeIndices));CHKERRQ(ierr); 2221 ierr = MatGetSize(sp->intMat, &nDofs, NULL);CHKERRQ(ierr); 2222 ierr = PetscSectionSetDof(section, 0, nDofs);CHKERRQ(ierr); 2223 ierr = PetscDualSpaceSectionSetUp_Internal(sp, section);CHKERRQ(ierr); 2224 ierr = PetscObjectReference((PetscObject)(sp->intNodes));CHKERRQ(ierr); 2225 sp->allNodes = sp->intNodes; 2226 ierr = PetscObjectReference((PetscObject)(sp->intMat));CHKERRQ(ierr); 2227 sp->allMat = sp->intMat; 2228 ierr = PetscLagNodeIndicesReference(lag->intNodeIndices);CHKERRQ(ierr); 2229 lag->allNodeIndices = lag->intNodeIndices; 2230 } else { 2231 /* there is one dof in the interior of the a full element for each trimmed polynomial of with degree at most 2232 * order + k - dim, but with complementary form degree */ 2233 if (order + PetscAbsInt(formDegree) > dim) { 2234 PetscDualSpace trimmedsp; 2235 PetscDualSpace_Lag *trimmedlag; 2236 PetscQuadrature intNodes; 2237 PetscInt trFormDegree = formDegree >= 0 ? formDegree - dim : dim - PetscAbsInt(formDegree); 2238 PetscInt nDofs; 2239 Mat intMat; 2240 2241 ierr = PetscDualSpaceDuplicate(sp, &trimmedsp);CHKERRQ(ierr); 2242 ierr = PetscDualSpaceLagrangeSetTrimmed(trimmedsp, PETSC_TRUE);CHKERRQ(ierr); 2243 ierr = PetscDualSpaceSetOrder(trimmedsp, order + PetscAbsInt(formDegree) - dim);CHKERRQ(ierr); 2244 ierr = PetscDualSpaceSetFormDegree(trimmedsp, trFormDegree);CHKERRQ(ierr); 2245 trimmedlag = (PetscDualSpace_Lag *) trimmedsp->data; 2246 trimmedlag->numNodeSkip = numNodeSkip + 1; 2247 ierr = PetscDualSpaceSetUp(trimmedsp);CHKERRQ(ierr); 2248 ierr = PetscDualSpaceGetAllData(trimmedsp, &intNodes, &intMat);CHKERRQ(ierr); 2249 ierr = PetscObjectReference((PetscObject)intNodes);CHKERRQ(ierr); 2250 sp->intNodes = intNodes; 2251 ierr = PetscObjectReference((PetscObject)intMat);CHKERRQ(ierr); 2252 sp->intMat = intMat; 2253 ierr = MatGetSize(sp->intMat, &nDofs, NULL);CHKERRQ(ierr); 2254 ierr = PetscLagNodeIndicesReference(trimmedlag->allNodeIndices);CHKERRQ(ierr); 2255 lag->intNodeIndices = trimmedlag->allNodeIndices; 2256 ierr = PetscDualSpaceDestroy(&trimmedsp);CHKERRQ(ierr); 2257 ierr = PetscSectionSetDof(section, 0, nDofs);CHKERRQ(ierr); 2258 } 2259 ierr = PetscDualSpaceSectionSetUp_Internal(sp, section);CHKERRQ(ierr); 2260 ierr = PetscDualSpaceCreateAllDataFromInteriorData(sp);CHKERRQ(ierr); 2261 ierr = PetscDualSpaceLagrangeCreateAllNodeIdx(sp);CHKERRQ(ierr); 2262 } 2263 } 2264 } else { 2265 PetscQuadrature intNodesTrace = NULL; 2266 PetscQuadrature intNodesFiber = NULL; 2267 PetscQuadrature intNodes = NULL; 2268 PetscLagNodeIndices intNodeIndices = NULL; 2269 Mat intMat = NULL; 2270 2271 if (PetscAbsInt(formDegree) < dim) { /* get the trace k-forms on the first facet, and the 0-forms on the edge, 2272 and wedge them together to create some of the k-form dofs */ 2273 PetscDualSpace trace, fiber; 2274 PetscDualSpace_Lag *tracel, *fiberl; 2275 Mat intMatTrace, intMatFiber; 2276 2277 if (sp->pointSpaces[tensorf]) { 2278 ierr = PetscObjectReference((PetscObject)(sp->pointSpaces[tensorf]));CHKERRQ(ierr); 2279 trace = sp->pointSpaces[tensorf]; 2280 } else { 2281 ierr = PetscDualSpaceCreateFacetSubspace_Lagrange(sp,NULL,tensorf,formDegree,Ncopies,PETSC_TRUE,&trace);CHKERRQ(ierr); 2282 } 2283 ierr = PetscDualSpaceCreateEdgeSubspace_Lagrange(sp,order,0,1,PETSC_TRUE,&fiber);CHKERRQ(ierr); 2284 tracel = (PetscDualSpace_Lag *) trace->data; 2285 fiberl = (PetscDualSpace_Lag *) fiber->data; 2286 ierr = PetscLagNodeIndicesCreateTensorVertices(dm, tracel->vertIndices, &(lag->vertIndices));CHKERRQ(ierr); 2287 ierr = PetscDualSpaceGetInteriorData(trace, &intNodesTrace, &intMatTrace);CHKERRQ(ierr); 2288 ierr = PetscDualSpaceGetInteriorData(fiber, &intNodesFiber, &intMatFiber);CHKERRQ(ierr); 2289 if (intNodesTrace && intNodesFiber) { 2290 ierr = PetscQuadratureCreateTensor(intNodesTrace, intNodesFiber, &intNodes);CHKERRQ(ierr); 2291 ierr = MatTensorAltV(intMatTrace, intMatFiber, dim-1, formDegree, 1, 0, &intMat);CHKERRQ(ierr); 2292 ierr = PetscLagNodeIndicesTensor(tracel->intNodeIndices, dim - 1, formDegree, fiberl->intNodeIndices, 1, 0, &intNodeIndices);CHKERRQ(ierr); 2293 } 2294 ierr = PetscObjectReference((PetscObject) intNodesTrace);CHKERRQ(ierr); 2295 ierr = PetscObjectReference((PetscObject) intNodesFiber);CHKERRQ(ierr); 2296 ierr = PetscDualSpaceDestroy(&fiber);CHKERRQ(ierr); 2297 ierr = PetscDualSpaceDestroy(&trace);CHKERRQ(ierr); 2298 } 2299 if (PetscAbsInt(formDegree) > 0) { /* get the trace (k-1)-forms on the first facet, and the 1-forms on the edge, 2300 and wedge them together to create the remaining k-form dofs */ 2301 PetscDualSpace trace, fiber; 2302 PetscDualSpace_Lag *tracel, *fiberl; 2303 PetscQuadrature intNodesTrace2, intNodesFiber2, intNodes2; 2304 PetscLagNodeIndices intNodeIndices2; 2305 Mat intMatTrace, intMatFiber, intMat2; 2306 PetscInt traceDegree = formDegree > 0 ? formDegree - 1 : formDegree + 1; 2307 PetscInt fiberDegree = formDegree > 0 ? 1 : -1; 2308 2309 ierr = PetscDualSpaceCreateFacetSubspace_Lagrange(sp,NULL,tensorf,traceDegree,Ncopies,PETSC_TRUE,&trace);CHKERRQ(ierr); 2310 ierr = PetscDualSpaceCreateEdgeSubspace_Lagrange(sp,order,fiberDegree,1,PETSC_TRUE,&fiber);CHKERRQ(ierr); 2311 tracel = (PetscDualSpace_Lag *) trace->data; 2312 fiberl = (PetscDualSpace_Lag *) fiber->data; 2313 if (!lag->vertIndices) { 2314 ierr = PetscLagNodeIndicesCreateTensorVertices(dm, tracel->vertIndices, &(lag->vertIndices));CHKERRQ(ierr); 2315 } 2316 ierr = PetscDualSpaceGetInteriorData(trace, &intNodesTrace2, &intMatTrace);CHKERRQ(ierr); 2317 ierr = PetscDualSpaceGetInteriorData(fiber, &intNodesFiber2, &intMatFiber);CHKERRQ(ierr); 2318 if (intNodesTrace2 && intNodesFiber2) { 2319 ierr = PetscQuadratureCreateTensor(intNodesTrace2, intNodesFiber2, &intNodes2);CHKERRQ(ierr); 2320 ierr = MatTensorAltV(intMatTrace, intMatFiber, dim-1, traceDegree, 1, fiberDegree, &intMat2);CHKERRQ(ierr); 2321 ierr = PetscLagNodeIndicesTensor(tracel->intNodeIndices, dim - 1, traceDegree, fiberl->intNodeIndices, 1, fiberDegree, &intNodeIndices2);CHKERRQ(ierr); 2322 if (!intMat) { 2323 intMat = intMat2; 2324 intNodes = intNodes2; 2325 intNodeIndices = intNodeIndices2; 2326 } else { 2327 /* merge the matrices, quadrature points, and nodes */ 2328 PetscInt nM; 2329 PetscInt nDof, nDof2; 2330 PetscInt *toMerged = NULL, *toMerged2 = NULL; 2331 PetscQuadrature merged = NULL; 2332 PetscLagNodeIndices intNodeIndicesMerged = NULL; 2333 Mat matMerged = NULL; 2334 2335 ierr = MatGetSize(intMat, &nDof, NULL);CHKERRQ(ierr); 2336 ierr = MatGetSize(intMat2, &nDof2, NULL);CHKERRQ(ierr); 2337 ierr = PetscQuadraturePointsMerge(intNodes, intNodes2, &merged, &toMerged, &toMerged2);CHKERRQ(ierr); 2338 ierr = PetscQuadratureGetData(merged, NULL, NULL, &nM, NULL, NULL);CHKERRQ(ierr); 2339 ierr = MatricesMerge(intMat, intMat2, dim, formDegree, nM, toMerged, toMerged2, &matMerged);CHKERRQ(ierr); 2340 ierr = PetscLagNodeIndicesMerge(intNodeIndices, intNodeIndices2, &intNodeIndicesMerged);CHKERRQ(ierr); 2341 ierr = PetscFree(toMerged);CHKERRQ(ierr); 2342 ierr = PetscFree(toMerged2);CHKERRQ(ierr); 2343 ierr = MatDestroy(&intMat);CHKERRQ(ierr); 2344 ierr = MatDestroy(&intMat2);CHKERRQ(ierr); 2345 ierr = PetscQuadratureDestroy(&intNodes);CHKERRQ(ierr); 2346 ierr = PetscQuadratureDestroy(&intNodes2);CHKERRQ(ierr); 2347 ierr = PetscLagNodeIndicesDestroy(&intNodeIndices);CHKERRQ(ierr); 2348 ierr = PetscLagNodeIndicesDestroy(&intNodeIndices2);CHKERRQ(ierr); 2349 intNodes = merged; 2350 intMat = matMerged; 2351 intNodeIndices = intNodeIndicesMerged; 2352 if (!trimmed) { 2353 /* I think users expect that, when a node has a full basis for the k-forms, 2354 * they should be consecutive dofs. That isn't the case for trimmed spaces, 2355 * but is for some of the nodes in untrimmed spaces, so in that case we 2356 * sort them to group them by node */ 2357 Mat intMatPerm; 2358 2359 ierr = MatPermuteByNodeIdx(intMat, intNodeIndices, &intMatPerm);CHKERRQ(ierr); 2360 ierr = MatDestroy(&intMat);CHKERRQ(ierr); 2361 intMat = intMatPerm; 2362 } 2363 } 2364 } 2365 ierr = PetscDualSpaceDestroy(&fiber);CHKERRQ(ierr); 2366 ierr = PetscDualSpaceDestroy(&trace);CHKERRQ(ierr); 2367 } 2368 ierr = PetscQuadratureDestroy(&intNodesTrace);CHKERRQ(ierr); 2369 ierr = PetscQuadratureDestroy(&intNodesFiber);CHKERRQ(ierr); 2370 sp->intNodes = intNodes; 2371 sp->intMat = intMat; 2372 lag->intNodeIndices = intNodeIndices; 2373 { 2374 PetscInt nDofs = 0; 2375 2376 if (intMat) { 2377 ierr = MatGetSize(intMat, &nDofs, NULL);CHKERRQ(ierr); 2378 } 2379 ierr = PetscSectionSetDof(section, 0, nDofs);CHKERRQ(ierr); 2380 } 2381 ierr = PetscDualSpaceSectionSetUp_Internal(sp, section);CHKERRQ(ierr); 2382 if (continuous) { 2383 ierr = PetscDualSpaceCreateAllDataFromInteriorData(sp);CHKERRQ(ierr); 2384 ierr = PetscDualSpaceLagrangeCreateAllNodeIdx(sp);CHKERRQ(ierr); 2385 } else { 2386 ierr = PetscObjectReference((PetscObject) intNodes);CHKERRQ(ierr); 2387 sp->allNodes = intNodes; 2388 ierr = PetscObjectReference((PetscObject) intMat);CHKERRQ(ierr); 2389 sp->allMat = intMat; 2390 ierr = PetscLagNodeIndicesReference(intNodeIndices);CHKERRQ(ierr); 2391 lag->allNodeIndices = intNodeIndices; 2392 } 2393 } 2394 ierr = PetscSectionGetStorageSize(section, &sp->spdim);CHKERRQ(ierr); 2395 ierr = PetscSectionGetConstrainedStorageSize(section, &sp->spintdim);CHKERRQ(ierr); 2396 ierr = PetscDualSpaceComputeFunctionalsFromAllData(sp);CHKERRQ(ierr); 2397 ierr = PetscFree2(pStratStart, pStratEnd);CHKERRQ(ierr); 2398 ierr = DMDestroy(&dmint);CHKERRQ(ierr); 2399 PetscFunctionReturn(0); 2400 } 2401 2402 /* Create a matrix that represents the transformation that DMPlexVecGetClosure() would need 2403 * to get the representation of the dofs for a mesh point if the mesh point had this orientation 2404 * relative to the cell */ 2405 PetscErrorCode PetscDualSpaceCreateInteriorSymmetryMatrix_Lagrange(PetscDualSpace sp, PetscInt ornt, Mat *symMat) 2406 { 2407 PetscDualSpace_Lag *lag; 2408 DM dm; 2409 PetscLagNodeIndices vertIndices, intNodeIndices; 2410 PetscLagNodeIndices ni; 2411 PetscInt nodeIdxDim, nodeVecDim, nNodes; 2412 PetscInt formDegree; 2413 PetscInt *perm, *permOrnt; 2414 PetscInt *nnz; 2415 PetscInt n; 2416 PetscInt maxGroupSize; 2417 PetscScalar *V, *W, *work; 2418 Mat A; 2419 PetscErrorCode ierr; 2420 2421 PetscFunctionBegin; 2422 if (!sp->spintdim) { 2423 *symMat = NULL; 2424 PetscFunctionReturn(0); 2425 } 2426 lag = (PetscDualSpace_Lag *) sp->data; 2427 vertIndices = lag->vertIndices; 2428 intNodeIndices = lag->intNodeIndices; 2429 ierr = PetscDualSpaceGetDM(sp, &dm);CHKERRQ(ierr); 2430 ierr = PetscDualSpaceGetFormDegree(sp, &formDegree);CHKERRQ(ierr); 2431 ierr = PetscNew(&ni);CHKERRQ(ierr); 2432 ni->refct = 1; 2433 ni->nodeIdxDim = nodeIdxDim = intNodeIndices->nodeIdxDim; 2434 ni->nodeVecDim = nodeVecDim = intNodeIndices->nodeVecDim; 2435 ni->nNodes = nNodes = intNodeIndices->nNodes; 2436 ierr = PetscMalloc1(nNodes * nodeIdxDim, &(ni->nodeIdx));CHKERRQ(ierr); 2437 ierr = PetscMalloc1(nNodes * nodeVecDim, &(ni->nodeVec));CHKERRQ(ierr); 2438 /* push forward the dofs by the symmetry of the reference element induced by ornt */ 2439 ierr = PetscLagNodeIndicesPushForward(dm, vertIndices, 0, vertIndices, intNodeIndices, ornt, formDegree, ni->nodeIdx, ni->nodeVec);CHKERRQ(ierr); 2440 /* get the revlex order for both the original and transformed dofs */ 2441 ierr = PetscLagNodeIndicesGetPermutation(intNodeIndices, &perm);CHKERRQ(ierr); 2442 ierr = PetscLagNodeIndicesGetPermutation(ni, &permOrnt);CHKERRQ(ierr); 2443 ierr = PetscMalloc1(nNodes, &nnz);CHKERRQ(ierr); 2444 for (n = 0, maxGroupSize = 0; n < nNodes;) { /* incremented in the loop */ 2445 PetscInt *nind = &(ni->nodeIdx[permOrnt[n] * nodeIdxDim]); 2446 PetscInt m, nEnd; 2447 PetscInt groupSize; 2448 /* for each group of dofs that have the same nodeIdx coordinate */ 2449 for (nEnd = n + 1; nEnd < nNodes; nEnd++) { 2450 PetscInt *mind = &(ni->nodeIdx[permOrnt[nEnd] * nodeIdxDim]); 2451 PetscInt d; 2452 2453 /* compare the oriented permutation indices */ 2454 for (d = 0; d < nodeIdxDim; d++) if (mind[d] != nind[d]) break; 2455 if (d < nodeIdxDim) break; 2456 } 2457 /* permOrnt[[n, nEnd)] is a group of dofs that, under the symmetry are at the same location */ 2458 2459 /* the symmetry had better map the group of dofs with the same permuted nodeIdx 2460 * to a group of dofs with the same size, otherwise we messed up */ 2461 if (PetscDefined(USE_DEBUG)) { 2462 PetscInt m; 2463 PetscInt *nind = &(intNodeIndices->nodeIdx[perm[n] * nodeIdxDim]); 2464 2465 for (m = n + 1; m < nEnd; m++) { 2466 PetscInt *mind = &(intNodeIndices->nodeIdx[perm[m] * nodeIdxDim]); 2467 PetscInt d; 2468 2469 /* compare the oriented permutation indices */ 2470 for (d = 0; d < nodeIdxDim; d++) if (mind[d] != nind[d]) break; 2471 if (d < nodeIdxDim) break; 2472 } 2473 if (m < nEnd) SETERRQ(PETSC_COMM_SELF, PETSC_ERR_PLIB, "Dofs with same index after symmetry not same block size"); 2474 } 2475 groupSize = nEnd - n; 2476 /* each pushforward dof vector will be expressed in a basis of the unpermuted dofs */ 2477 for (m = n; m < nEnd; m++) nnz[permOrnt[m]] = groupSize; 2478 2479 maxGroupSize = PetscMax(maxGroupSize, nEnd - n); 2480 n = nEnd; 2481 } 2482 if (maxGroupSize > nodeVecDim) SETERRQ(PETSC_COMM_SELF, PETSC_ERR_PLIB, "Dofs are not in blocks that can be solved"); 2483 ierr = MatCreateSeqAIJ(PETSC_COMM_SELF, nNodes, nNodes, 0, nnz, &A);CHKERRQ(ierr); 2484 ierr = PetscFree(nnz);CHKERRQ(ierr); 2485 ierr = PetscMalloc3(maxGroupSize * nodeVecDim, &V, maxGroupSize * nodeVecDim, &W, nodeVecDim * 2, &work);CHKERRQ(ierr); 2486 for (n = 0; n < nNodes;) { /* incremented in the loop */ 2487 PetscInt *nind = &(ni->nodeIdx[permOrnt[n] * nodeIdxDim]); 2488 PetscInt nEnd; 2489 PetscInt m; 2490 PetscInt groupSize; 2491 for (nEnd = n + 1; nEnd < nNodes; nEnd++) { 2492 PetscInt *mind = &(ni->nodeIdx[permOrnt[nEnd] * nodeIdxDim]); 2493 PetscInt d; 2494 2495 /* compare the oriented permutation indices */ 2496 for (d = 0; d < nodeIdxDim; d++) if (mind[d] != nind[d]) break; 2497 if (d < nodeIdxDim) break; 2498 } 2499 groupSize = nEnd - n; 2500 /* get all of the vectors from the original and all of the pushforward vectors */ 2501 for (m = n; m < nEnd; m++) { 2502 PetscInt d; 2503 2504 for (d = 0; d < nodeVecDim; d++) { 2505 V[(m - n) * nodeVecDim + d] = intNodeIndices->nodeVec[perm[m] * nodeVecDim + d]; 2506 W[(m - n) * nodeVecDim + d] = ni->nodeVec[permOrnt[m] * nodeVecDim + d]; 2507 } 2508 } 2509 /* now we have to solve for W in terms of V: the systems isn't always square, but the span 2510 * of V and W should always be the same, so the solution of the normal equations works */ 2511 { 2512 char transpose = 'N'; 2513 PetscBLASInt bm = nodeVecDim; 2514 PetscBLASInt bn = groupSize; 2515 PetscBLASInt bnrhs = groupSize; 2516 PetscBLASInt blda = bm; 2517 PetscBLASInt bldb = bm; 2518 PetscBLASInt blwork = 2 * nodeVecDim; 2519 PetscBLASInt info; 2520 2521 PetscStackCallBLAS("LAPACKgels",LAPACKgels_(&transpose,&bm,&bn,&bnrhs,V,&blda,W,&bldb,work,&blwork, &info)); 2522 if (info != 0) SETERRQ(PETSC_COMM_SELF,PETSC_ERR_LIB,"Bad argument to GELS"); 2523 /* repack */ 2524 { 2525 PetscInt i, j; 2526 2527 for (i = 0; i < groupSize; i++) { 2528 for (j = 0; j < groupSize; j++) { 2529 /* notice the different leading dimension */ 2530 V[i * groupSize + j] = W[i * nodeVecDim + j]; 2531 } 2532 } 2533 } 2534 } 2535 ierr = MatSetValues(A, groupSize, &permOrnt[n], groupSize, &perm[n], V, INSERT_VALUES);CHKERRQ(ierr); 2536 n = nEnd; 2537 } 2538 ierr = MatAssemblyBegin(A, MAT_FINAL_ASSEMBLY);CHKERRQ(ierr); 2539 ierr = MatAssemblyEnd(A, MAT_FINAL_ASSEMBLY);CHKERRQ(ierr); 2540 *symMat = A; 2541 ierr = PetscFree3(V,W,work);CHKERRQ(ierr); 2542 ierr = PetscLagNodeIndicesDestroy(&ni);CHKERRQ(ierr); 2543 PetscFunctionReturn(0); 2544 } 2545 2546 #define BaryIndex(perEdge,a,b,c) (((b)*(2*perEdge+1-(b)))/2)+(c) 2547 2548 #define CartIndex(perEdge,a,b) (perEdge*(a)+b) 2549 2550 /* the existing interface for symmetries is insufficient for all cases: 2551 * - it should be sufficient for form degrees that are scalar (0 and n) 2552 * - it should be sufficient for hypercube dofs 2553 * - it isn't sufficient for simplex cells with non-scalar form degrees if 2554 * there are any dofs in the interior 2555 * 2556 * We compute the general transformation matrices, and if they fit, we return them, 2557 * otherwise we error (but we should probably change the interface to allow for 2558 * these symmetries) 2559 */ 2560 static PetscErrorCode PetscDualSpaceGetSymmetries_Lagrange(PetscDualSpace sp, const PetscInt ****perms, const PetscScalar ****flips) 2561 { 2562 PetscDualSpace_Lag *lag = (PetscDualSpace_Lag *) sp->data; 2563 PetscInt dim, order, Nc; 2564 PetscErrorCode ierr; 2565 2566 PetscFunctionBegin; 2567 ierr = PetscDualSpaceGetOrder(sp,&order);CHKERRQ(ierr); 2568 ierr = PetscDualSpaceGetNumComponents(sp,&Nc);CHKERRQ(ierr); 2569 ierr = DMGetDimension(sp->dm,&dim);CHKERRQ(ierr); 2570 if (!lag->symComputed) { /* store symmetries */ 2571 PetscInt pStart, pEnd, p; 2572 PetscInt numPoints; 2573 PetscInt numFaces; 2574 PetscInt spintdim; 2575 PetscInt ***symperms; 2576 PetscScalar ***symflips; 2577 2578 ierr = DMPlexGetChart(sp->dm, &pStart, &pEnd);CHKERRQ(ierr); 2579 numPoints = pEnd - pStart; 2580 ierr = DMPlexGetConeSize(sp->dm, 0, &numFaces);CHKERRQ(ierr); 2581 ierr = PetscCalloc1(numPoints,&symperms);CHKERRQ(ierr); 2582 ierr = PetscCalloc1(numPoints,&symflips);CHKERRQ(ierr); 2583 spintdim = sp->spintdim; 2584 /* The nodal symmetry behavior is not present when tensorSpace != tensorCell: someone might want this for the "S" 2585 * family of FEEC spaces. Most used in particular are discontinuous polynomial L2 spaces in tensor cells, where 2586 * the symmetries are not necessary for FE assembly. So for now we assume this is the case and don't return 2587 * symmetries if tensorSpace != tensorCell */ 2588 if (spintdim && 0 < dim && dim < 3 && (lag->tensorSpace == lag->tensorCell)) { /* compute self symmetries */ 2589 PetscInt **cellSymperms; 2590 PetscScalar **cellSymflips; 2591 PetscInt ornt; 2592 PetscInt nCopies = Nc / lag->intNodeIndices->nodeVecDim; 2593 PetscInt nNodes = lag->intNodeIndices->nNodes; 2594 2595 lag->numSelfSym = 2 * numFaces; 2596 lag->selfSymOff = numFaces; 2597 ierr = PetscCalloc1(2*numFaces,&cellSymperms);CHKERRQ(ierr); 2598 ierr = PetscCalloc1(2*numFaces,&cellSymflips);CHKERRQ(ierr); 2599 /* we want to be able to index symmetries directly with the orientations, which range from [-numFaces,numFaces) */ 2600 symperms[0] = &cellSymperms[numFaces]; 2601 symflips[0] = &cellSymflips[numFaces]; 2602 if (lag->intNodeIndices->nodeVecDim * nCopies != Nc) SETERRQ(PETSC_COMM_SELF, PETSC_ERR_PLIB, "Node indices incompatible with dofs"); 2603 if (nNodes * nCopies != spintdim) SETERRQ(PETSC_COMM_SELF, PETSC_ERR_PLIB, "Node indices incompatible with dofs"); 2604 for (ornt = -numFaces; ornt < numFaces; ornt++) { /* for every symmetry, compute the symmetry matrix, and extract rows to see if it fits in the perm + flip framework */ 2605 Mat symMat; 2606 PetscInt *perm; 2607 PetscScalar *flips; 2608 PetscInt i; 2609 2610 if (!ornt) continue; 2611 ierr = PetscMalloc1(spintdim, &perm);CHKERRQ(ierr); 2612 ierr = PetscCalloc1(spintdim, &flips);CHKERRQ(ierr); 2613 for (i = 0; i < spintdim; i++) perm[i] = -1; 2614 ierr = PetscDualSpaceCreateInteriorSymmetryMatrix_Lagrange(sp, ornt, &symMat);CHKERRQ(ierr); 2615 for (i = 0; i < nNodes; i++) { 2616 PetscInt ncols; 2617 PetscInt j, k; 2618 const PetscInt *cols; 2619 const PetscScalar *vals; 2620 PetscBool nz_seen = PETSC_FALSE; 2621 2622 ierr = MatGetRow(symMat, i, &ncols, &cols, &vals);CHKERRQ(ierr); 2623 for (j = 0; j < ncols; j++) { 2624 if (PetscAbsScalar(vals[j]) > PETSC_SMALL) { 2625 if (nz_seen) SETERRQ(PETSC_COMM_SELF, PETSC_ERR_ARG_INCOMP, "This dual space has symmetries that can't be described as a permutation + sign flips"); 2626 nz_seen = PETSC_TRUE; 2627 if (PetscAbsReal(PetscAbsScalar(vals[j]) - PetscRealConstant(1.)) > PETSC_SMALL) SETERRQ(PETSC_COMM_SELF, PETSC_ERR_ARG_INCOMP, "This dual space has symmetries that can't be described as a permutation + sign flips"); 2628 if (PetscAbsReal(PetscImaginaryPart(vals[j])) > PETSC_SMALL) SETERRQ(PETSC_COMM_SELF, PETSC_ERR_ARG_INCOMP, "This dual space has symmetries that can't be described as a permutation + sign flips"); 2629 if (perm[cols[j] * nCopies] >= 0) SETERRQ(PETSC_COMM_SELF, PETSC_ERR_ARG_INCOMP, "This dual space has symmetries that can't be described as a permutation + sign flips"); 2630 for (k = 0; k < nCopies; k++) { 2631 perm[cols[j] * nCopies + k] = i * nCopies + k; 2632 } 2633 if (PetscRealPart(vals[j]) < 0.) { 2634 for (k = 0; k < nCopies; k++) { 2635 flips[i * nCopies + k] = -1.; 2636 } 2637 } else { 2638 for (k = 0; k < nCopies; k++) { 2639 flips[i * nCopies + k] = 1.; 2640 } 2641 } 2642 } 2643 } 2644 ierr = MatRestoreRow(symMat, i, &ncols, &cols, &vals);CHKERRQ(ierr); 2645 } 2646 ierr = MatDestroy(&symMat);CHKERRQ(ierr); 2647 /* if there were no sign flips, keep NULL */ 2648 for (i = 0; i < spintdim; i++) if (flips[i] != 1.) break; 2649 if (i == spintdim) { 2650 ierr = PetscFree(flips);CHKERRQ(ierr); 2651 flips = NULL; 2652 } 2653 /* if the permutation is identity, keep NULL */ 2654 for (i = 0; i < spintdim; i++) if (perm[i] != i) break; 2655 if (i == spintdim) { 2656 ierr = PetscFree(perm);CHKERRQ(ierr); 2657 perm = NULL; 2658 } 2659 symperms[0][ornt] = perm; 2660 symflips[0][ornt] = flips; 2661 } 2662 /* if no orientations produced non-identity permutations, keep NULL */ 2663 for (ornt = -numFaces; ornt < numFaces; ornt++) if (symperms[0][ornt]) break; 2664 if (ornt == numFaces) { 2665 ierr = PetscFree(cellSymperms);CHKERRQ(ierr); 2666 symperms[0] = NULL; 2667 } 2668 /* if no orientations produced sign flips, keep NULL */ 2669 for (ornt = -numFaces; ornt < numFaces; ornt++) if (symflips[0][ornt]) break; 2670 if (ornt == numFaces) { 2671 ierr = PetscFree(cellSymflips);CHKERRQ(ierr); 2672 symflips[0] = NULL; 2673 } 2674 } 2675 { /* get the symmetries of closure points */ 2676 PetscInt closureSize = 0; 2677 PetscInt *closure = NULL; 2678 PetscInt r; 2679 2680 ierr = DMPlexGetTransitiveClosure(sp->dm,0,PETSC_TRUE,&closureSize,&closure);CHKERRQ(ierr); 2681 for (r = 0; r < closureSize; r++) { 2682 PetscDualSpace psp; 2683 PetscInt point = closure[2 * r]; 2684 PetscInt pspintdim; 2685 const PetscInt ***psymperms = NULL; 2686 const PetscScalar ***psymflips = NULL; 2687 2688 if (!point) continue; 2689 ierr = PetscDualSpaceGetPointSubspace(sp, point, &psp);CHKERRQ(ierr); 2690 if (!psp) continue; 2691 ierr = PetscDualSpaceGetInteriorDimension(psp, &pspintdim);CHKERRQ(ierr); 2692 if (!pspintdim) continue; 2693 ierr = PetscDualSpaceGetSymmetries(psp,&psymperms,&psymflips);CHKERRQ(ierr); 2694 symperms[r] = (PetscInt **) (psymperms ? psymperms[0] : NULL); 2695 symflips[r] = (PetscScalar **) (psymflips ? psymflips[0] : NULL); 2696 } 2697 ierr = DMPlexRestoreTransitiveClosure(sp->dm,0,PETSC_TRUE,&closureSize,&closure);CHKERRQ(ierr); 2698 } 2699 for (p = 0; p < pEnd; p++) if (symperms[p]) break; 2700 if (p == pEnd) { 2701 ierr = PetscFree(symperms);CHKERRQ(ierr); 2702 symperms = NULL; 2703 } 2704 for (p = 0; p < pEnd; p++) if (symflips[p]) break; 2705 if (p == pEnd) { 2706 ierr = PetscFree(symflips);CHKERRQ(ierr); 2707 symflips = NULL; 2708 } 2709 lag->symperms = symperms; 2710 lag->symflips = symflips; 2711 lag->symComputed = PETSC_TRUE; 2712 } 2713 if (perms) *perms = (const PetscInt ***) lag->symperms; 2714 if (flips) *flips = (const PetscScalar ***) lag->symflips; 2715 PetscFunctionReturn(0); 2716 } 2717 2718 static PetscErrorCode PetscDualSpaceLagrangeGetContinuity_Lagrange(PetscDualSpace sp, PetscBool *continuous) 2719 { 2720 PetscDualSpace_Lag *lag = (PetscDualSpace_Lag *) sp->data; 2721 2722 PetscFunctionBegin; 2723 PetscValidHeaderSpecific(sp, PETSCDUALSPACE_CLASSID, 1); 2724 PetscValidPointer(continuous, 2); 2725 *continuous = lag->continuous; 2726 PetscFunctionReturn(0); 2727 } 2728 2729 static PetscErrorCode PetscDualSpaceLagrangeSetContinuity_Lagrange(PetscDualSpace sp, PetscBool continuous) 2730 { 2731 PetscDualSpace_Lag *lag = (PetscDualSpace_Lag *) sp->data; 2732 2733 PetscFunctionBegin; 2734 PetscValidHeaderSpecific(sp, PETSCDUALSPACE_CLASSID, 1); 2735 lag->continuous = continuous; 2736 PetscFunctionReturn(0); 2737 } 2738 2739 /*@ 2740 PetscDualSpaceLagrangeGetContinuity - Retrieves the flag for element continuity 2741 2742 Not Collective 2743 2744 Input Parameter: 2745 . sp - the PetscDualSpace 2746 2747 Output Parameter: 2748 . continuous - flag for element continuity 2749 2750 Level: intermediate 2751 2752 .seealso: PetscDualSpaceLagrangeSetContinuity() 2753 @*/ 2754 PetscErrorCode PetscDualSpaceLagrangeGetContinuity(PetscDualSpace sp, PetscBool *continuous) 2755 { 2756 PetscErrorCode ierr; 2757 2758 PetscFunctionBegin; 2759 PetscValidHeaderSpecific(sp, PETSCDUALSPACE_CLASSID, 1); 2760 PetscValidPointer(continuous, 2); 2761 ierr = PetscTryMethod(sp, "PetscDualSpaceLagrangeGetContinuity_C", (PetscDualSpace,PetscBool*),(sp,continuous));CHKERRQ(ierr); 2762 PetscFunctionReturn(0); 2763 } 2764 2765 /*@ 2766 PetscDualSpaceLagrangeSetContinuity - Indicate whether the element is continuous 2767 2768 Logically Collective on sp 2769 2770 Input Parameters: 2771 + sp - the PetscDualSpace 2772 - continuous - flag for element continuity 2773 2774 Options Database: 2775 . -petscdualspace_lagrange_continuity <bool> 2776 2777 Level: intermediate 2778 2779 .seealso: PetscDualSpaceLagrangeGetContinuity() 2780 @*/ 2781 PetscErrorCode PetscDualSpaceLagrangeSetContinuity(PetscDualSpace sp, PetscBool continuous) 2782 { 2783 PetscErrorCode ierr; 2784 2785 PetscFunctionBegin; 2786 PetscValidHeaderSpecific(sp, PETSCDUALSPACE_CLASSID, 1); 2787 PetscValidLogicalCollectiveBool(sp, continuous, 2); 2788 ierr = PetscTryMethod(sp, "PetscDualSpaceLagrangeSetContinuity_C", (PetscDualSpace,PetscBool),(sp,continuous));CHKERRQ(ierr); 2789 PetscFunctionReturn(0); 2790 } 2791 2792 static PetscErrorCode PetscDualSpaceLagrangeGetTensor_Lagrange(PetscDualSpace sp, PetscBool *tensor) 2793 { 2794 PetscDualSpace_Lag *lag = (PetscDualSpace_Lag *)sp->data; 2795 2796 PetscFunctionBegin; 2797 *tensor = lag->tensorSpace; 2798 PetscFunctionReturn(0); 2799 } 2800 2801 static PetscErrorCode PetscDualSpaceLagrangeSetTensor_Lagrange(PetscDualSpace sp, PetscBool tensor) 2802 { 2803 PetscDualSpace_Lag *lag = (PetscDualSpace_Lag *)sp->data; 2804 2805 PetscFunctionBegin; 2806 lag->tensorSpace = tensor; 2807 PetscFunctionReturn(0); 2808 } 2809 2810 static PetscErrorCode PetscDualSpaceLagrangeGetTrimmed_Lagrange(PetscDualSpace sp, PetscBool *trimmed) 2811 { 2812 PetscDualSpace_Lag *lag = (PetscDualSpace_Lag *)sp->data; 2813 2814 PetscFunctionBegin; 2815 *trimmed = lag->trimmed; 2816 PetscFunctionReturn(0); 2817 } 2818 2819 static PetscErrorCode PetscDualSpaceLagrangeSetTrimmed_Lagrange(PetscDualSpace sp, PetscBool trimmed) 2820 { 2821 PetscDualSpace_Lag *lag = (PetscDualSpace_Lag *)sp->data; 2822 2823 PetscFunctionBegin; 2824 lag->trimmed = trimmed; 2825 PetscFunctionReturn(0); 2826 } 2827 2828 static PetscErrorCode PetscDualSpaceLagrangeGetNodeType_Lagrange(PetscDualSpace sp, PetscDTNodeType *nodeType, PetscBool *boundary, PetscReal *exponent) 2829 { 2830 PetscDualSpace_Lag *lag = (PetscDualSpace_Lag *)sp->data; 2831 2832 PetscFunctionBegin; 2833 if (nodeType) *nodeType = lag->nodeType; 2834 if (boundary) *boundary = lag->endNodes; 2835 if (exponent) *exponent = lag->nodeExponent; 2836 PetscFunctionReturn(0); 2837 } 2838 2839 static PetscErrorCode PetscDualSpaceLagrangeSetNodeType_Lagrange(PetscDualSpace sp, PetscDTNodeType nodeType, PetscBool boundary, PetscReal exponent) 2840 { 2841 PetscDualSpace_Lag *lag = (PetscDualSpace_Lag *)sp->data; 2842 2843 PetscFunctionBegin; 2844 if (nodeType == PETSCDTNODES_GAUSSJACOBI && exponent <= -1.) SETERRQ(PetscObjectComm((PetscObject) sp), PETSC_ERR_ARG_OUTOFRANGE, "Exponent must be > -1"); 2845 lag->nodeType = nodeType; 2846 lag->endNodes = boundary; 2847 lag->nodeExponent = exponent; 2848 PetscFunctionReturn(0); 2849 } 2850 2851 /*@ 2852 PetscDualSpaceLagrangeGetTensor - Get the tensor nature of the dual space 2853 2854 Not collective 2855 2856 Input Parameter: 2857 . sp - The PetscDualSpace 2858 2859 Output Parameter: 2860 . tensor - Whether the dual space has tensor layout (vs. simplicial) 2861 2862 Level: intermediate 2863 2864 .seealso: PetscDualSpaceLagrangeSetTensor(), PetscDualSpaceCreate() 2865 @*/ 2866 PetscErrorCode PetscDualSpaceLagrangeGetTensor(PetscDualSpace sp, PetscBool *tensor) 2867 { 2868 PetscErrorCode ierr; 2869 2870 PetscFunctionBegin; 2871 PetscValidHeaderSpecific(sp, PETSCDUALSPACE_CLASSID, 1); 2872 PetscValidPointer(tensor, 2); 2873 ierr = PetscTryMethod(sp,"PetscDualSpaceLagrangeGetTensor_C",(PetscDualSpace,PetscBool *),(sp,tensor));CHKERRQ(ierr); 2874 PetscFunctionReturn(0); 2875 } 2876 2877 /*@ 2878 PetscDualSpaceLagrangeSetTensor - Set the tensor nature of the dual space 2879 2880 Not collective 2881 2882 Input Parameters: 2883 + sp - The PetscDualSpace 2884 - tensor - Whether the dual space has tensor layout (vs. simplicial) 2885 2886 Level: intermediate 2887 2888 .seealso: PetscDualSpaceLagrangeGetTensor(), PetscDualSpaceCreate() 2889 @*/ 2890 PetscErrorCode PetscDualSpaceLagrangeSetTensor(PetscDualSpace sp, PetscBool tensor) 2891 { 2892 PetscErrorCode ierr; 2893 2894 PetscFunctionBegin; 2895 PetscValidHeaderSpecific(sp, PETSCDUALSPACE_CLASSID, 1); 2896 ierr = PetscTryMethod(sp,"PetscDualSpaceLagrangeSetTensor_C",(PetscDualSpace,PetscBool),(sp,tensor));CHKERRQ(ierr); 2897 PetscFunctionReturn(0); 2898 } 2899 2900 /*@ 2901 PetscDualSpaceLagrangeGetTrimmed - Get the trimmed nature of the dual space 2902 2903 Not collective 2904 2905 Input Parameter: 2906 . sp - The PetscDualSpace 2907 2908 Output Parameter: 2909 . trimmed - Whether the dual space represents to dual basis of a trimmed polynomial space (e.g. Raviart-Thomas and higher order / other form degree variants) 2910 2911 Level: intermediate 2912 2913 .seealso: PetscDualSpaceLagrangeSetTrimmed(), PetscDualSpaceCreate() 2914 @*/ 2915 PetscErrorCode PetscDualSpaceLagrangeGetTrimmed(PetscDualSpace sp, PetscBool *trimmed) 2916 { 2917 PetscErrorCode ierr; 2918 2919 PetscFunctionBegin; 2920 PetscValidHeaderSpecific(sp, PETSCDUALSPACE_CLASSID, 1); 2921 PetscValidPointer(trimmed, 2); 2922 ierr = PetscTryMethod(sp,"PetscDualSpaceLagrangeGetTrimmed_C",(PetscDualSpace,PetscBool *),(sp,trimmed));CHKERRQ(ierr); 2923 PetscFunctionReturn(0); 2924 } 2925 2926 /*@ 2927 PetscDualSpaceLagrangeSetTrimmed - Set the trimmed nature of the dual space 2928 2929 Not collective 2930 2931 Input Parameters: 2932 + sp - The PetscDualSpace 2933 - trimmed - Whether the dual space represents to dual basis of a trimmed polynomial space (e.g. Raviart-Thomas and higher order / other form degree variants) 2934 2935 Level: intermediate 2936 2937 .seealso: PetscDualSpaceLagrangeGetTrimmed(), PetscDualSpaceCreate() 2938 @*/ 2939 PetscErrorCode PetscDualSpaceLagrangeSetTrimmed(PetscDualSpace sp, PetscBool trimmed) 2940 { 2941 PetscErrorCode ierr; 2942 2943 PetscFunctionBegin; 2944 PetscValidHeaderSpecific(sp, PETSCDUALSPACE_CLASSID, 1); 2945 ierr = PetscTryMethod(sp,"PetscDualSpaceLagrangeSetTrimmed_C",(PetscDualSpace,PetscBool),(sp,trimmed));CHKERRQ(ierr); 2946 PetscFunctionReturn(0); 2947 } 2948 2949 /*@ 2950 PetscDualSpaceLagrangeGetNodeType - Get a description of how nodes are laid out for Lagrange polynomials in this 2951 dual space 2952 2953 Not collective 2954 2955 Input Parameter: 2956 . sp - The PetscDualSpace 2957 2958 Output Parameters: 2959 + nodeType - The type of nodes 2960 . boundary - Whether the node type is one that includes endpoints (if nodeType is PETSCDTNODES_GAUSSJACOBI, nodes that 2961 include the boundary are Gauss-Lobatto-Jacobi nodes) 2962 - exponent - If nodeType is PETSCDTNODES_GAUSJACOBI, indicates the exponent used for both ends of the 1D Jacobi weight function 2963 '0' is Gauss-Legendre, '-0.5' is Gauss-Chebyshev of the first type, '0.5' is Gauss-Chebyshev of the second type 2964 2965 Level: advanced 2966 2967 .seealso: PetscDTNodeType, PetscDualSpaceLagrangeSetNodeType() 2968 @*/ 2969 PetscErrorCode PetscDualSpaceLagrangeGetNodeType(PetscDualSpace sp, PetscDTNodeType *nodeType, PetscBool *boundary, PetscReal *exponent) 2970 { 2971 PetscErrorCode ierr; 2972 2973 PetscFunctionBegin; 2974 PetscValidHeaderSpecific(sp, PETSCDUALSPACE_CLASSID, 1); 2975 if (nodeType) PetscValidPointer(nodeType, 2); 2976 if (boundary) PetscValidPointer(boundary, 3); 2977 if (exponent) PetscValidPointer(exponent, 4); 2978 ierr = PetscTryMethod(sp,"PetscDualSpaceLagrangeGetNodeType_C",(PetscDualSpace,PetscDTNodeType *,PetscBool *,PetscReal *),(sp,nodeType,boundary,exponent));CHKERRQ(ierr); 2979 PetscFunctionReturn(0); 2980 } 2981 2982 /*@ 2983 PetscDualSpaceLagrangeSetNodeType - Set a description of how nodes are laid out for Lagrange polynomials in this 2984 dual space 2985 2986 Logically collective 2987 2988 Input Parameters: 2989 + sp - The PetscDualSpace 2990 . nodeType - The type of nodes 2991 . boundary - Whether the node type is one that includes endpoints (if nodeType is PETSCDTNODES_GAUSSJACOBI, nodes that 2992 include the boundary are Gauss-Lobatto-Jacobi nodes) 2993 - exponent - If nodeType is PETSCDTNODES_GAUSJACOBI, indicates the exponent used for both ends of the 1D Jacobi weight function 2994 '0' is Gauss-Legendre, '-0.5' is Gauss-Chebyshev of the first type, '0.5' is Gauss-Chebyshev of the second type 2995 2996 Level: advanced 2997 2998 .seealso: PetscDTNodeType, PetscDualSpaceLagrangeGetNodeType() 2999 @*/ 3000 PetscErrorCode PetscDualSpaceLagrangeSetNodeType(PetscDualSpace sp, PetscDTNodeType nodeType, PetscBool boundary, PetscReal exponent) 3001 { 3002 PetscErrorCode ierr; 3003 3004 PetscFunctionBegin; 3005 PetscValidHeaderSpecific(sp, PETSCDUALSPACE_CLASSID, 1); 3006 ierr = PetscTryMethod(sp,"PetscDualSpaceLagrangeSetNodeType_C",(PetscDualSpace,PetscDTNodeType,PetscBool,PetscReal),(sp,nodeType,boundary,exponent));CHKERRQ(ierr); 3007 PetscFunctionReturn(0); 3008 } 3009 3010 3011 static PetscErrorCode PetscDualSpaceInitialize_Lagrange(PetscDualSpace sp) 3012 { 3013 PetscFunctionBegin; 3014 sp->ops->destroy = PetscDualSpaceDestroy_Lagrange; 3015 sp->ops->view = PetscDualSpaceView_Lagrange; 3016 sp->ops->setfromoptions = PetscDualSpaceSetFromOptions_Lagrange; 3017 sp->ops->duplicate = PetscDualSpaceDuplicate_Lagrange; 3018 sp->ops->setup = PetscDualSpaceSetUp_Lagrange; 3019 sp->ops->createheightsubspace = NULL; 3020 sp->ops->createpointsubspace = NULL; 3021 sp->ops->getsymmetries = PetscDualSpaceGetSymmetries_Lagrange; 3022 sp->ops->apply = PetscDualSpaceApplyDefault; 3023 sp->ops->applyall = PetscDualSpaceApplyAllDefault; 3024 sp->ops->applyint = PetscDualSpaceApplyInteriorDefault; 3025 sp->ops->createalldata = PetscDualSpaceCreateAllDataDefault; 3026 sp->ops->createintdata = PetscDualSpaceCreateInteriorDataDefault; 3027 PetscFunctionReturn(0); 3028 } 3029 3030 /*MC 3031 PETSCDUALSPACELAGRANGE = "lagrange" - A PetscDualSpace object that encapsulates a dual space of pointwise evaluation functionals 3032 3033 Level: intermediate 3034 3035 .seealso: PetscDualSpaceType, PetscDualSpaceCreate(), PetscDualSpaceSetType() 3036 M*/ 3037 PETSC_EXTERN PetscErrorCode PetscDualSpaceCreate_Lagrange(PetscDualSpace sp) 3038 { 3039 PetscDualSpace_Lag *lag; 3040 PetscErrorCode ierr; 3041 3042 PetscFunctionBegin; 3043 PetscValidHeaderSpecific(sp, PETSCDUALSPACE_CLASSID, 1); 3044 ierr = PetscNewLog(sp,&lag);CHKERRQ(ierr); 3045 sp->data = lag; 3046 3047 lag->tensorCell = PETSC_FALSE; 3048 lag->tensorSpace = PETSC_FALSE; 3049 lag->continuous = PETSC_TRUE; 3050 lag->numCopies = PETSC_DEFAULT; 3051 lag->numNodeSkip = PETSC_DEFAULT; 3052 lag->nodeType = PETSCDTNODES_DEFAULT; 3053 3054 ierr = PetscDualSpaceInitialize_Lagrange(sp);CHKERRQ(ierr); 3055 ierr = PetscObjectComposeFunction((PetscObject) sp, "PetscDualSpaceLagrangeGetContinuity_C", PetscDualSpaceLagrangeGetContinuity_Lagrange);CHKERRQ(ierr); 3056 ierr = PetscObjectComposeFunction((PetscObject) sp, "PetscDualSpaceLagrangeSetContinuity_C", PetscDualSpaceLagrangeSetContinuity_Lagrange);CHKERRQ(ierr); 3057 ierr = PetscObjectComposeFunction((PetscObject) sp, "PetscDualSpaceLagrangeGetTensor_C", PetscDualSpaceLagrangeGetTensor_Lagrange);CHKERRQ(ierr); 3058 ierr = PetscObjectComposeFunction((PetscObject) sp, "PetscDualSpaceLagrangeSetTensor_C", PetscDualSpaceLagrangeSetTensor_Lagrange);CHKERRQ(ierr); 3059 ierr = PetscObjectComposeFunction((PetscObject) sp, "PetscDualSpaceLagrangeGetTrimmed_C", PetscDualSpaceLagrangeGetTrimmed_Lagrange);CHKERRQ(ierr); 3060 ierr = PetscObjectComposeFunction((PetscObject) sp, "PetscDualSpaceLagrangeSetTrimmed_C", PetscDualSpaceLagrangeSetTrimmed_Lagrange);CHKERRQ(ierr); 3061 ierr = PetscObjectComposeFunction((PetscObject) sp, "PetscDualSpaceLagrangeGetNodeType_C", PetscDualSpaceLagrangeGetNodeType_Lagrange);CHKERRQ(ierr); 3062 ierr = PetscObjectComposeFunction((PetscObject) sp, "PetscDualSpaceLagrangeSetNodeType_C", PetscDualSpaceLagrangeSetNodeType_Lagrange);CHKERRQ(ierr); 3063 PetscFunctionReturn(0); 3064 } 3065