xref: /petsc/src/dm/dt/dualspace/impls/lagrange/dspacelagrange.c (revision bcee047adeeb73090d7e36cc71e39fc287cdbb97)
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   PetscInt        refct;
9   PetscDTNodeType nodeFamily;
10   PetscReal       gaussJacobiExp;
11   PetscInt        nComputed;
12   PetscReal     **nodesets;
13   PetscBool       endpoints;
14 };
15 
16 /* users set node families for PETSCDUALSPACELAGRANGE with just the inputs to this function, but internally we create
17  * an object that can cache the computations across multiple dual spaces */
18 static PetscErrorCode Petsc1DNodeFamilyCreate(PetscDTNodeType family, PetscReal gaussJacobiExp, PetscBool endpoints, Petsc1DNodeFamily *nf)
19 {
20   Petsc1DNodeFamily f;
21 
22   PetscFunctionBegin;
23   PetscCall(PetscNew(&f));
24   switch (family) {
25   case PETSCDTNODES_GAUSSJACOBI:
26   case PETSCDTNODES_EQUISPACED:
27     f->nodeFamily = family;
28     break;
29   default:
30     SETERRQ(PETSC_COMM_SELF, PETSC_ERR_ARG_OUTOFRANGE, "Unknown 1D node family");
31   }
32   f->endpoints      = endpoints;
33   f->gaussJacobiExp = 0.;
34   if (family == PETSCDTNODES_GAUSSJACOBI) {
35     PetscCheck(gaussJacobiExp > -1., PETSC_COMM_SELF, PETSC_ERR_ARG_OUTOFRANGE, "Gauss-Jacobi exponent must be > -1.");
36     f->gaussJacobiExp = gaussJacobiExp;
37   }
38   f->refct = 1;
39   *nf      = f;
40   PetscFunctionReturn(PETSC_SUCCESS);
41 }
42 
43 static PetscErrorCode Petsc1DNodeFamilyReference(Petsc1DNodeFamily nf)
44 {
45   PetscFunctionBegin;
46   if (nf) nf->refct++;
47   PetscFunctionReturn(PETSC_SUCCESS);
48 }
49 
50 static PetscErrorCode Petsc1DNodeFamilyDestroy(Petsc1DNodeFamily *nf)
51 {
52   PetscInt i, nc;
53 
54   PetscFunctionBegin;
55   if (!(*nf)) PetscFunctionReturn(PETSC_SUCCESS);
56   if (--(*nf)->refct > 0) {
57     *nf = NULL;
58     PetscFunctionReturn(PETSC_SUCCESS);
59   }
60   nc = (*nf)->nComputed;
61   for (i = 0; i < nc; i++) PetscCall(PetscFree((*nf)->nodesets[i]));
62   PetscCall(PetscFree((*nf)->nodesets));
63   PetscCall(PetscFree(*nf));
64   *nf = NULL;
65   PetscFunctionReturn(PETSC_SUCCESS);
66 }
67 
68 static PetscErrorCode Petsc1DNodeFamilyGetNodeSets(Petsc1DNodeFamily f, PetscInt degree, PetscReal ***nodesets)
69 {
70   PetscInt nc;
71 
72   PetscFunctionBegin;
73   nc = f->nComputed;
74   if (degree >= nc) {
75     PetscInt    i, j;
76     PetscReal **new_nodesets;
77     PetscReal  *w;
78 
79     PetscCall(PetscMalloc1(degree + 1, &new_nodesets));
80     PetscCall(PetscArraycpy(new_nodesets, f->nodesets, nc));
81     PetscCall(PetscFree(f->nodesets));
82     f->nodesets = new_nodesets;
83     PetscCall(PetscMalloc1(degree + 1, &w));
84     for (i = nc; i < degree + 1; i++) {
85       PetscCall(PetscMalloc1(i + 1, &(f->nodesets[i])));
86       if (!i) {
87         f->nodesets[i][0] = 0.5;
88       } else {
89         switch (f->nodeFamily) {
90         case PETSCDTNODES_EQUISPACED:
91           if (f->endpoints) {
92             for (j = 0; j <= i; j++) f->nodesets[i][j] = (PetscReal)j / (PetscReal)i;
93           } else {
94             /* these nodes are at the centroids of the small simplices created by the equispaced nodes that include
95              * the endpoints */
96             for (j = 0; j <= i; j++) f->nodesets[i][j] = ((PetscReal)j + 0.5) / ((PetscReal)i + 1.);
97           }
98           break;
99         case PETSCDTNODES_GAUSSJACOBI:
100           if (f->endpoints) {
101             PetscCall(PetscDTGaussLobattoJacobiQuadrature(i + 1, 0., 1., f->gaussJacobiExp, f->gaussJacobiExp, f->nodesets[i], w));
102           } else {
103             PetscCall(PetscDTGaussJacobiQuadrature(i + 1, 0., 1., f->gaussJacobiExp, f->gaussJacobiExp, f->nodesets[i], w));
104           }
105           break;
106         default:
107           SETERRQ(PETSC_COMM_SELF, PETSC_ERR_ARG_OUTOFRANGE, "Unknown 1D node family");
108         }
109       }
110     }
111     PetscCall(PetscFree(w));
112     f->nComputed = degree + 1;
113   }
114   *nodesets = f->nodesets;
115   PetscFunctionReturn(PETSC_SUCCESS);
116 }
117 
118 /* http://arxiv.org/abs/2002.09421 for details */
119 static PetscErrorCode PetscNodeRecursive_Internal(PetscInt dim, PetscInt degree, PetscReal **nodesets, PetscInt tup[], PetscReal node[])
120 {
121   PetscReal w;
122   PetscInt  i, j;
123 
124   PetscFunctionBeginHot;
125   w = 0.;
126   if (dim == 1) {
127     node[0] = nodesets[degree][tup[0]];
128     node[1] = nodesets[degree][tup[1]];
129   } else {
130     for (i = 0; i < dim + 1; i++) node[i] = 0.;
131     for (i = 0; i < dim + 1; i++) {
132       PetscReal wi = nodesets[degree][degree - tup[i]];
133 
134       for (j = 0; j < dim + 1; j++) tup[dim + 1 + j] = tup[j + (j >= i)];
135       PetscCall(PetscNodeRecursive_Internal(dim - 1, degree - tup[i], nodesets, &tup[dim + 1], &node[dim + 1]));
136       for (j = 0; j < dim + 1; j++) node[j + (j >= i)] += wi * node[dim + 1 + j];
137       w += wi;
138     }
139     for (i = 0; i < dim + 1; i++) node[i] /= w;
140   }
141   PetscFunctionReturn(PETSC_SUCCESS);
142 }
143 
144 /* compute simplex nodes for the biunit simplex from the 1D node family */
145 static PetscErrorCode Petsc1DNodeFamilyComputeSimplexNodes(Petsc1DNodeFamily f, PetscInt dim, PetscInt degree, PetscReal points[])
146 {
147   PetscInt   *tup;
148   PetscInt    k;
149   PetscInt    npoints;
150   PetscReal **nodesets = NULL;
151   PetscInt    worksize;
152   PetscReal  *nodework;
153   PetscInt   *tupwork;
154 
155   PetscFunctionBegin;
156   PetscCheck(dim >= 0, PETSC_COMM_SELF, PETSC_ERR_ARG_OUTOFRANGE, "Must have non-negative dimension");
157   PetscCheck(degree >= 0, PETSC_COMM_SELF, PETSC_ERR_ARG_OUTOFRANGE, "Must have non-negative degree");
158   if (!dim) PetscFunctionReturn(PETSC_SUCCESS);
159   PetscCall(PetscCalloc1(dim + 2, &tup));
160   k = 0;
161   PetscCall(PetscDTBinomialInt(degree + dim, dim, &npoints));
162   PetscCall(Petsc1DNodeFamilyGetNodeSets(f, degree, &nodesets));
163   worksize = ((dim + 2) * (dim + 3)) / 2;
164   PetscCall(PetscCalloc2(worksize, &nodework, worksize, &tupwork));
165   /* loop over the tuples of length dim with sum at most degree */
166   for (k = 0; k < npoints; k++) {
167     PetscInt i;
168 
169     /* turn thm into tuples of length dim + 1 with sum equal to degree (barycentric indice) */
170     tup[0] = degree;
171     for (i = 0; i < dim; i++) tup[0] -= tup[i + 1];
172     switch (f->nodeFamily) {
173     case PETSCDTNODES_EQUISPACED:
174       /* compute equispaces nodes on the unit reference triangle */
175       if (f->endpoints) {
176         PetscCheck(degree > 0, PETSC_COMM_SELF, PETSC_ERR_ARG_OUTOFRANGE, "Must have positive degree");
177         for (i = 0; i < dim; i++) points[dim * k + i] = (PetscReal)tup[i + 1] / (PetscReal)degree;
178       } else {
179         for (i = 0; i < dim; i++) {
180           /* these nodes are at the centroids of the small simplices created by the equispaced nodes that include
181            * the endpoints */
182           points[dim * k + i] = ((PetscReal)tup[i + 1] + 1. / (dim + 1.)) / (PetscReal)(degree + 1.);
183         }
184       }
185       break;
186     default:
187       /* compute equispaced nodes on the barycentric reference triangle (the trace on the first dim dimensions are the
188        * unit reference triangle nodes */
189       for (i = 0; i < dim + 1; i++) tupwork[i] = tup[i];
190       PetscCall(PetscNodeRecursive_Internal(dim, degree, nodesets, tupwork, nodework));
191       for (i = 0; i < dim; i++) points[dim * k + i] = nodework[i + 1];
192       break;
193     }
194     PetscCall(PetscDualSpaceLatticePointLexicographic_Internal(dim, degree, &tup[1]));
195   }
196   /* map from unit simplex to biunit simplex */
197   for (k = 0; k < npoints * dim; k++) points[k] = points[k] * 2. - 1.;
198   PetscCall(PetscFree2(nodework, tupwork));
199   PetscCall(PetscFree(tup));
200   PetscFunctionReturn(PETSC_SUCCESS);
201 }
202 
203 /* 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
204  * on that mesh point, we have to be careful about getting/adding everything in the right place.
205  *
206  * With nodal dofs like PETSCDUALSPACELAGRANGE makes, the general approach to calculate the value of dofs associate
207  * with a node A is
208  * - transform the node locations x(A) by the map that takes the mesh point to its reorientation, x' = phi(x(A))
209  * - figure out which node was originally at the location of the transformed point, A' = idx(x')
210  * - if the dofs are not scalars, figure out how to represent the transformed dofs in terms of the basis
211  *   of dofs at A' (using pushforward/pullback rules)
212  *
213  * The one sticky point with this approach is the "A' = idx(x')" step: trying to go from real valued coordinates
214  * back to indices.  I don't want to rely on floating point tolerances.  Additionally, PETSCDUALSPACELAGRANGE may
215  * eventually support quasi-Lagrangian dofs, which could involve quadrature at multiple points, so the location "x(A)"
216  * would be ambiguous.
217  *
218  * So each dof gets an integer value coordinate (nodeIdx in the structure below).  The choice of integer coordinates
219  * is somewhat arbitrary, as long as all of the relevant symmetries of the mesh point correspond to *permutations* of
220  * the integer coordinates, which do not depend on numerical precision.
221  *
222  * So
223  *
224  * - DMPlexGetTransitiveClosure_Internal() tells me how an orientation turns into a permutation of the vertices of a
225  *   mesh point
226  * - The permutation of the vertices, and the nodeIdx values assigned to them, tells what permutation in index space
227  *   is associated with the orientation
228  * - I uses that permutation to get xi' = phi(xi(A)), the integer coordinate of the transformed dof
229  * - I can without numerical issues compute A' = idx(xi')
230  *
231  * Here are some examples of how the process works
232  *
233  * - With a triangle:
234  *
235  *   The triangle has the following integer coordinates for vertices, taken from the barycentric triangle
236  *
237  *     closure order 2
238  *     nodeIdx (0,0,1)
239  *      \
240  *       +
241  *       |\
242  *       | \
243  *       |  \
244  *       |   \    closure order 1
245  *       |    \ / nodeIdx (0,1,0)
246  *       +-----+
247  *        \
248  *      closure order 0
249  *      nodeIdx (1,0,0)
250  *
251  *   If I do DMPlexGetTransitiveClosure_Internal() with orientation 1, the vertices would appear
252  *   in the order (1, 2, 0)
253  *
254  *   If I list the nodeIdx of each vertex in closure order for orientation 0 (0, 1, 2) and orientation 1 (1, 2, 0), I
255  *   see
256  *
257  *   orientation 0  | orientation 1
258  *
259  *   [0] (1,0,0)      [1] (0,1,0)
260  *   [1] (0,1,0)      [2] (0,0,1)
261  *   [2] (0,0,1)      [0] (1,0,0)
262  *          A                B
263  *
264  *   In other words, B is the result of a row permutation of A.  But, there is also
265  *   a column permutation that accomplishes the same result, (2,0,1).
266  *
267  *   So if a dof has nodeIdx coordinate (a,b,c), after the transformation its nodeIdx coordinate
268  *   is (c,a,b), and the transformed degree of freedom will be a linear combination of dofs
269  *   that originally had coordinate (c,a,b).
270  *
271  * - With a quadrilateral:
272  *
273  *   The quadrilateral has the following integer coordinates for vertices, taken from concatenating barycentric
274  *   coordinates for two segments:
275  *
276  *     closure order 3      closure order 2
277  *     nodeIdx (1,0,0,1)    nodeIdx (0,1,0,1)
278  *                   \      /
279  *                    +----+
280  *                    |    |
281  *                    |    |
282  *                    +----+
283  *                   /      \
284  *     closure order 0      closure order 1
285  *     nodeIdx (1,0,1,0)    nodeIdx (0,1,1,0)
286  *
287  *   If I do DMPlexGetTransitiveClosure_Internal() with orientation 1, the vertices would appear
288  *   in the order (1, 2, 3, 0)
289  *
290  *   If I list the nodeIdx of each vertex in closure order for orientation 0 (0, 1, 2, 3) and
291  *   orientation 1 (1, 2, 3, 0), I see
292  *
293  *   orientation 0  | orientation 1
294  *
295  *   [0] (1,0,1,0)    [1] (0,1,1,0)
296  *   [1] (0,1,1,0)    [2] (0,1,0,1)
297  *   [2] (0,1,0,1)    [3] (1,0,0,1)
298  *   [3] (1,0,0,1)    [0] (1,0,1,0)
299  *          A                B
300  *
301  *   The column permutation that accomplishes the same result is (3,2,0,1).
302  *
303  *   So if a dof has nodeIdx coordinate (a,b,c,d), after the transformation its nodeIdx coordinate
304  *   is (d,c,a,b), and the transformed degree of freedom will be a linear combination of dofs
305  *   that originally had coordinate (d,c,a,b).
306  *
307  * Previously PETSCDUALSPACELAGRANGE had hardcoded symmetries for the triangle and quadrilateral,
308  * but this approach will work for any polytope, such as the wedge (triangular prism).
309  */
310 struct _n_PetscLagNodeIndices {
311   PetscInt   refct;
312   PetscInt   nodeIdxDim;
313   PetscInt   nodeVecDim;
314   PetscInt   nNodes;
315   PetscInt  *nodeIdx; /* for each node an index of size nodeIdxDim */
316   PetscReal *nodeVec; /* for each node a vector of size nodeVecDim */
317   PetscInt  *perm;    /* if these are vertices, perm takes DMPlex point index to closure order;
318                               if these are nodes, perm lists nodes in index revlex order */
319 };
320 
321 /* this is just here so I can access the values in tests/ex1.c outside the library */
322 PetscErrorCode PetscLagNodeIndicesGetData_Internal(PetscLagNodeIndices ni, PetscInt *nodeIdxDim, PetscInt *nodeVecDim, PetscInt *nNodes, const PetscInt *nodeIdx[], const PetscReal *nodeVec[])
323 {
324   PetscFunctionBegin;
325   *nodeIdxDim = ni->nodeIdxDim;
326   *nodeVecDim = ni->nodeVecDim;
327   *nNodes     = ni->nNodes;
328   *nodeIdx    = ni->nodeIdx;
329   *nodeVec    = ni->nodeVec;
330   PetscFunctionReturn(PETSC_SUCCESS);
331 }
332 
333 static PetscErrorCode PetscLagNodeIndicesReference(PetscLagNodeIndices ni)
334 {
335   PetscFunctionBegin;
336   if (ni) ni->refct++;
337   PetscFunctionReturn(PETSC_SUCCESS);
338 }
339 
340 static PetscErrorCode PetscLagNodeIndicesDuplicate(PetscLagNodeIndices ni, PetscLagNodeIndices *niNew)
341 {
342   PetscFunctionBegin;
343   PetscCall(PetscNew(niNew));
344   (*niNew)->refct      = 1;
345   (*niNew)->nodeIdxDim = ni->nodeIdxDim;
346   (*niNew)->nodeVecDim = ni->nodeVecDim;
347   (*niNew)->nNodes     = ni->nNodes;
348   PetscCall(PetscMalloc1(ni->nNodes * ni->nodeIdxDim, &((*niNew)->nodeIdx)));
349   PetscCall(PetscArraycpy((*niNew)->nodeIdx, ni->nodeIdx, ni->nNodes * ni->nodeIdxDim));
350   PetscCall(PetscMalloc1(ni->nNodes * ni->nodeVecDim, &((*niNew)->nodeVec)));
351   PetscCall(PetscArraycpy((*niNew)->nodeVec, ni->nodeVec, ni->nNodes * ni->nodeVecDim));
352   (*niNew)->perm = NULL;
353   PetscFunctionReturn(PETSC_SUCCESS);
354 }
355 
356 static PetscErrorCode PetscLagNodeIndicesDestroy(PetscLagNodeIndices *ni)
357 {
358   PetscFunctionBegin;
359   if (!(*ni)) PetscFunctionReturn(PETSC_SUCCESS);
360   if (--(*ni)->refct > 0) {
361     *ni = NULL;
362     PetscFunctionReturn(PETSC_SUCCESS);
363   }
364   PetscCall(PetscFree((*ni)->nodeIdx));
365   PetscCall(PetscFree((*ni)->nodeVec));
366   PetscCall(PetscFree((*ni)->perm));
367   PetscCall(PetscFree(*ni));
368   *ni = NULL;
369   PetscFunctionReturn(PETSC_SUCCESS);
370 }
371 
372 /* The vertices are given nodeIdx coordinates (e.g. the corners of the barycentric triangle).  Those coordinates are
373  * in some other order, and to understand the effect of different symmetries, we need them to be in closure order.
374  *
375  * If sortIdx is PETSC_FALSE, the coordinates are already in revlex order, otherwise we must sort them
376  * to that order before we do the real work of this function, which is
377  *
378  * - mark the vertices in closure order
379  * - sort them in revlex order
380  * - use the resulting permutation to list the vertex coordinates in closure order
381  */
382 static PetscErrorCode PetscLagNodeIndicesComputeVertexOrder(DM dm, PetscLagNodeIndices ni, PetscBool sortIdx)
383 {
384   PetscInt           v, w, vStart, vEnd, c, d;
385   PetscInt           nVerts;
386   PetscInt           closureSize = 0;
387   PetscInt          *closure     = NULL;
388   PetscInt          *closureOrder;
389   PetscInt          *invClosureOrder;
390   PetscInt          *revlexOrder;
391   PetscInt          *newNodeIdx;
392   PetscInt           dim;
393   Vec                coordVec;
394   const PetscScalar *coords;
395 
396   PetscFunctionBegin;
397   PetscCall(DMGetDimension(dm, &dim));
398   PetscCall(DMPlexGetDepthStratum(dm, 0, &vStart, &vEnd));
399   nVerts = vEnd - vStart;
400   PetscCall(PetscMalloc1(nVerts, &closureOrder));
401   PetscCall(PetscMalloc1(nVerts, &invClosureOrder));
402   PetscCall(PetscMalloc1(nVerts, &revlexOrder));
403   if (sortIdx) { /* bubble sort nodeIdx into revlex order */
404     PetscInt  nodeIdxDim = ni->nodeIdxDim;
405     PetscInt *idxOrder;
406 
407     PetscCall(PetscMalloc1(nVerts * nodeIdxDim, &newNodeIdx));
408     PetscCall(PetscMalloc1(nVerts, &idxOrder));
409     for (v = 0; v < nVerts; v++) idxOrder[v] = v;
410     for (v = 0; v < nVerts; v++) {
411       for (w = v + 1; w < nVerts; w++) {
412         const PetscInt *iv   = &(ni->nodeIdx[idxOrder[v] * nodeIdxDim]);
413         const PetscInt *iw   = &(ni->nodeIdx[idxOrder[w] * nodeIdxDim]);
414         PetscInt        diff = 0;
415 
416         for (d = nodeIdxDim - 1; d >= 0; d--)
417           if ((diff = (iv[d] - iw[d]))) break;
418         if (diff > 0) {
419           PetscInt swap = idxOrder[v];
420 
421           idxOrder[v] = idxOrder[w];
422           idxOrder[w] = swap;
423         }
424       }
425     }
426     for (v = 0; v < nVerts; v++) {
427       for (d = 0; d < nodeIdxDim; d++) newNodeIdx[v * ni->nodeIdxDim + d] = ni->nodeIdx[idxOrder[v] * nodeIdxDim + d];
428     }
429     PetscCall(PetscFree(ni->nodeIdx));
430     ni->nodeIdx = newNodeIdx;
431     newNodeIdx  = NULL;
432     PetscCall(PetscFree(idxOrder));
433   }
434   PetscCall(DMPlexGetTransitiveClosure(dm, 0, PETSC_TRUE, &closureSize, &closure));
435   c = closureSize - nVerts;
436   for (v = 0; v < nVerts; v++) closureOrder[v] = closure[2 * (c + v)] - vStart;
437   for (v = 0; v < nVerts; v++) invClosureOrder[closureOrder[v]] = v;
438   PetscCall(DMPlexRestoreTransitiveClosure(dm, 0, PETSC_TRUE, &closureSize, &closure));
439   PetscCall(DMGetCoordinatesLocal(dm, &coordVec));
440   PetscCall(VecGetArrayRead(coordVec, &coords));
441   /* bubble sort closure vertices by coordinates in revlex order */
442   for (v = 0; v < nVerts; v++) revlexOrder[v] = v;
443   for (v = 0; v < nVerts; v++) {
444     for (w = v + 1; w < nVerts; w++) {
445       const PetscScalar *cv   = &coords[closureOrder[revlexOrder[v]] * dim];
446       const PetscScalar *cw   = &coords[closureOrder[revlexOrder[w]] * dim];
447       PetscReal          diff = 0;
448 
449       for (d = dim - 1; d >= 0; d--)
450         if ((diff = PetscRealPart(cv[d] - cw[d])) != 0.) break;
451       if (diff > 0.) {
452         PetscInt swap = revlexOrder[v];
453 
454         revlexOrder[v] = revlexOrder[w];
455         revlexOrder[w] = swap;
456       }
457     }
458   }
459   PetscCall(VecRestoreArrayRead(coordVec, &coords));
460   PetscCall(PetscMalloc1(ni->nodeIdxDim * nVerts, &newNodeIdx));
461   /* reorder nodeIdx to be in closure order */
462   for (v = 0; v < nVerts; v++) {
463     for (d = 0; d < ni->nodeIdxDim; d++) newNodeIdx[revlexOrder[v] * ni->nodeIdxDim + d] = ni->nodeIdx[v * ni->nodeIdxDim + d];
464   }
465   PetscCall(PetscFree(ni->nodeIdx));
466   ni->nodeIdx = newNodeIdx;
467   ni->perm    = invClosureOrder;
468   PetscCall(PetscFree(revlexOrder));
469   PetscCall(PetscFree(closureOrder));
470   PetscFunctionReturn(PETSC_SUCCESS);
471 }
472 
473 /* the coordinates of the simplex vertices are the corners of the barycentric simplex.
474  * When we stack them on top of each other in revlex order, they look like the identity matrix */
475 static PetscErrorCode PetscLagNodeIndicesCreateSimplexVertices(DM dm, PetscLagNodeIndices *nodeIndices)
476 {
477   PetscLagNodeIndices ni;
478   PetscInt            dim, d;
479 
480   PetscFunctionBegin;
481   PetscCall(PetscNew(&ni));
482   PetscCall(DMGetDimension(dm, &dim));
483   ni->nodeIdxDim = dim + 1;
484   ni->nodeVecDim = 0;
485   ni->nNodes     = dim + 1;
486   ni->refct      = 1;
487   PetscCall(PetscCalloc1((dim + 1) * (dim + 1), &(ni->nodeIdx)));
488   for (d = 0; d < dim + 1; d++) ni->nodeIdx[d * (dim + 2)] = 1;
489   PetscCall(PetscLagNodeIndicesComputeVertexOrder(dm, ni, PETSC_FALSE));
490   *nodeIndices = ni;
491   PetscFunctionReturn(PETSC_SUCCESS);
492 }
493 
494 /* A polytope that is a tensor product of a facet and a segment.
495  * We take whatever coordinate system was being used for the facet
496  * and we concatenate the barycentric coordinates for the vertices
497  * at the end of the segment, (1,0) and (0,1), to get a coordinate
498  * system for the tensor product element */
499 static PetscErrorCode PetscLagNodeIndicesCreateTensorVertices(DM dm, PetscLagNodeIndices facetni, PetscLagNodeIndices *nodeIndices)
500 {
501   PetscLagNodeIndices ni;
502   PetscInt            nodeIdxDim, subNodeIdxDim = facetni->nodeIdxDim;
503   PetscInt            nVerts, nSubVerts         = facetni->nNodes;
504   PetscInt            dim, d, e, f, g;
505 
506   PetscFunctionBegin;
507   PetscCall(PetscNew(&ni));
508   PetscCall(DMGetDimension(dm, &dim));
509   ni->nodeIdxDim = nodeIdxDim = subNodeIdxDim + 2;
510   ni->nodeVecDim              = 0;
511   ni->nNodes = nVerts = 2 * nSubVerts;
512   ni->refct           = 1;
513   PetscCall(PetscCalloc1(nodeIdxDim * nVerts, &(ni->nodeIdx)));
514   for (f = 0, d = 0; d < 2; d++) {
515     for (e = 0; e < nSubVerts; e++, f++) {
516       for (g = 0; g < subNodeIdxDim; g++) ni->nodeIdx[f * nodeIdxDim + g] = facetni->nodeIdx[e * subNodeIdxDim + g];
517       ni->nodeIdx[f * nodeIdxDim + subNodeIdxDim]     = (1 - d);
518       ni->nodeIdx[f * nodeIdxDim + subNodeIdxDim + 1] = d;
519     }
520   }
521   PetscCall(PetscLagNodeIndicesComputeVertexOrder(dm, ni, PETSC_TRUE));
522   *nodeIndices = ni;
523   PetscFunctionReturn(PETSC_SUCCESS);
524 }
525 
526 /* This helps us compute symmetries, and it also helps us compute coordinates for dofs that are being pushed
527  * forward from a boundary mesh point.
528  *
529  * Input:
530  *
531  * dm - the target reference cell where we want new coordinates and dof directions to be valid
532  * vert - the vertex coordinate system for the target reference cell
533  * p - the point in the target reference cell that the dofs are coming from
534  * vertp - the vertex coordinate system for p's reference cell
535  * ornt - the resulting coordinates and dof vectors will be for p under this orientation
536  * nodep - the node coordinates and dof vectors in p's reference cell
537  * formDegree - the form degree that the dofs transform as
538  *
539  * Output:
540  *
541  * pfNodeIdx - the node coordinates for p's dofs, in the dm reference cell, from the ornt perspective
542  * pfNodeVec - the node dof vectors for p's dofs, in the dm reference cell, from the ornt perspective
543  */
544 static PetscErrorCode PetscLagNodeIndicesPushForward(DM dm, PetscLagNodeIndices vert, PetscInt p, PetscLagNodeIndices vertp, PetscLagNodeIndices nodep, PetscInt ornt, PetscInt formDegree, PetscInt pfNodeIdx[], PetscReal pfNodeVec[])
545 {
546   PetscInt          *closureVerts;
547   PetscInt           closureSize = 0;
548   PetscInt          *closure     = NULL;
549   PetscInt           dim, pdim, c, i, j, k, n, v, vStart, vEnd;
550   PetscInt           nSubVert      = vertp->nNodes;
551   PetscInt           nodeIdxDim    = vert->nodeIdxDim;
552   PetscInt           subNodeIdxDim = vertp->nodeIdxDim;
553   PetscInt           nNodes        = nodep->nNodes;
554   const PetscInt    *vertIdx       = vert->nodeIdx;
555   const PetscInt    *subVertIdx    = vertp->nodeIdx;
556   const PetscInt    *nodeIdx       = nodep->nodeIdx;
557   const PetscReal   *nodeVec       = nodep->nodeVec;
558   PetscReal         *J, *Jstar;
559   PetscReal          detJ;
560   PetscInt           depth, pdepth, Nk, pNk;
561   Vec                coordVec;
562   PetscScalar       *newCoords = NULL;
563   const PetscScalar *oldCoords = NULL;
564 
565   PetscFunctionBegin;
566   PetscCall(DMGetDimension(dm, &dim));
567   PetscCall(DMPlexGetDepth(dm, &depth));
568   PetscCall(DMGetCoordinatesLocal(dm, &coordVec));
569   PetscCall(DMPlexGetPointDepth(dm, p, &pdepth));
570   pdim = pdepth != depth ? pdepth != 0 ? pdepth : 0 : dim;
571   PetscCall(DMPlexGetDepthStratum(dm, 0, &vStart, &vEnd));
572   PetscCall(DMGetWorkArray(dm, nSubVert, MPIU_INT, &closureVerts));
573   PetscCall(DMPlexGetTransitiveClosure_Internal(dm, p, ornt, PETSC_TRUE, &closureSize, &closure));
574   c = closureSize - nSubVert;
575   /* we want which cell closure indices the closure of this point corresponds to */
576   for (v = 0; v < nSubVert; v++) closureVerts[v] = vert->perm[closure[2 * (c + v)] - vStart];
577   PetscCall(DMPlexRestoreTransitiveClosure(dm, p, PETSC_TRUE, &closureSize, &closure));
578   /* push forward indices */
579   for (i = 0; i < nodeIdxDim; i++) { /* for every component of the target index space */
580     /* check if this is a component that all vertices around this point have in common */
581     for (j = 1; j < nSubVert; j++) {
582       if (vertIdx[closureVerts[j] * nodeIdxDim + i] != vertIdx[closureVerts[0] * nodeIdxDim + i]) break;
583     }
584     if (j == nSubVert) { /* all vertices have this component in common, directly copy to output */
585       PetscInt val = vertIdx[closureVerts[0] * nodeIdxDim + i];
586       for (n = 0; n < nNodes; n++) pfNodeIdx[n * nodeIdxDim + i] = val;
587     } else {
588       PetscInt subi = -1;
589       /* there must be a component in vertp that looks the same */
590       for (k = 0; k < subNodeIdxDim; k++) {
591         for (j = 0; j < nSubVert; j++) {
592           if (vertIdx[closureVerts[j] * nodeIdxDim + i] != subVertIdx[j * subNodeIdxDim + k]) break;
593         }
594         if (j == nSubVert) {
595           subi = k;
596           break;
597         }
598       }
599       PetscCheck(subi >= 0, PETSC_COMM_SELF, PETSC_ERR_PLIB, "Did not find matching coordinate");
600       /* that component in the vertp system becomes component i in the vert system for each dof */
601       for (n = 0; n < nNodes; n++) pfNodeIdx[n * nodeIdxDim + i] = nodeIdx[n * subNodeIdxDim + subi];
602     }
603   }
604   /* push forward vectors */
605   PetscCall(DMGetWorkArray(dm, dim * dim, MPIU_REAL, &J));
606   if (ornt != 0) { /* temporarily change the coordinate vector so
607                       DMPlexComputeCellGeometryAffineFEM gives us the Jacobian we want */
608     PetscInt  closureSize2 = 0;
609     PetscInt *closure2     = NULL;
610 
611     PetscCall(DMPlexGetTransitiveClosure_Internal(dm, p, 0, PETSC_TRUE, &closureSize2, &closure2));
612     PetscCall(PetscMalloc1(dim * nSubVert, &newCoords));
613     PetscCall(VecGetArrayRead(coordVec, &oldCoords));
614     for (v = 0; v < nSubVert; v++) {
615       PetscInt d;
616       for (d = 0; d < dim; d++) newCoords[(closure2[2 * (c + v)] - vStart) * dim + d] = oldCoords[closureVerts[v] * dim + d];
617     }
618     PetscCall(VecRestoreArrayRead(coordVec, &oldCoords));
619     PetscCall(DMPlexRestoreTransitiveClosure(dm, p, PETSC_TRUE, &closureSize2, &closure2));
620     PetscCall(VecPlaceArray(coordVec, newCoords));
621   }
622   PetscCall(DMPlexComputeCellGeometryAffineFEM(dm, p, NULL, J, NULL, &detJ));
623   if (ornt != 0) {
624     PetscCall(VecResetArray(coordVec));
625     PetscCall(PetscFree(newCoords));
626   }
627   PetscCall(DMRestoreWorkArray(dm, nSubVert, MPIU_INT, &closureVerts));
628   /* compactify */
629   for (i = 0; i < dim; i++)
630     for (j = 0; j < pdim; j++) J[i * pdim + j] = J[i * dim + j];
631   /* We have the Jacobian mapping the point's reference cell to this reference cell:
632    * pulling back a function to the point and applying the dof is what we want,
633    * so we get the pullback matrix and multiply the dof by that matrix on the right */
634   PetscCall(PetscDTBinomialInt(dim, PetscAbsInt(formDegree), &Nk));
635   PetscCall(PetscDTBinomialInt(pdim, PetscAbsInt(formDegree), &pNk));
636   PetscCall(DMGetWorkArray(dm, pNk * Nk, MPIU_REAL, &Jstar));
637   PetscCall(PetscDTAltVPullbackMatrix(pdim, dim, J, formDegree, Jstar));
638   for (n = 0; n < nNodes; n++) {
639     for (i = 0; i < Nk; i++) {
640       PetscReal val = 0.;
641       for (j = 0; j < pNk; j++) val += nodeVec[n * pNk + j] * Jstar[j * Nk + i];
642       pfNodeVec[n * Nk + i] = val;
643     }
644   }
645   PetscCall(DMRestoreWorkArray(dm, pNk * Nk, MPIU_REAL, &Jstar));
646   PetscCall(DMRestoreWorkArray(dm, dim * dim, MPIU_REAL, &J));
647   PetscFunctionReturn(PETSC_SUCCESS);
648 }
649 
650 /* given to sets of nodes, take the tensor product, where the product of the dof indices is concatenation and the
651  * product of the dof vectors is the wedge product */
652 static PetscErrorCode PetscLagNodeIndicesTensor(PetscLagNodeIndices tracei, PetscInt dimT, PetscInt kT, PetscLagNodeIndices fiberi, PetscInt dimF, PetscInt kF, PetscLagNodeIndices *nodeIndices)
653 {
654   PetscInt            dim = dimT + dimF;
655   PetscInt            nodeIdxDim, nNodes;
656   PetscInt            formDegree = kT + kF;
657   PetscInt            Nk, NkT, NkF;
658   PetscInt            MkT, MkF;
659   PetscLagNodeIndices ni;
660   PetscInt            i, j, l;
661   PetscReal          *projF, *projT;
662   PetscReal          *projFstar, *projTstar;
663   PetscReal          *workF, *workF2, *workT, *workT2, *work, *work2;
664   PetscReal          *wedgeMat;
665   PetscReal           sign;
666 
667   PetscFunctionBegin;
668   PetscCall(PetscDTBinomialInt(dim, PetscAbsInt(formDegree), &Nk));
669   PetscCall(PetscDTBinomialInt(dimT, PetscAbsInt(kT), &NkT));
670   PetscCall(PetscDTBinomialInt(dimF, PetscAbsInt(kF), &NkF));
671   PetscCall(PetscDTBinomialInt(dim, PetscAbsInt(kT), &MkT));
672   PetscCall(PetscDTBinomialInt(dim, PetscAbsInt(kF), &MkF));
673   PetscCall(PetscNew(&ni));
674   ni->nodeIdxDim = nodeIdxDim = tracei->nodeIdxDim + fiberi->nodeIdxDim;
675   ni->nodeVecDim              = Nk;
676   ni->nNodes = nNodes = tracei->nNodes * fiberi->nNodes;
677   ni->refct           = 1;
678   PetscCall(PetscMalloc1(nNodes * nodeIdxDim, &(ni->nodeIdx)));
679   /* first concatenate the indices */
680   for (l = 0, j = 0; j < fiberi->nNodes; j++) {
681     for (i = 0; i < tracei->nNodes; i++, l++) {
682       PetscInt m, n = 0;
683 
684       for (m = 0; m < tracei->nodeIdxDim; m++) ni->nodeIdx[l * nodeIdxDim + n++] = tracei->nodeIdx[i * tracei->nodeIdxDim + m];
685       for (m = 0; m < fiberi->nodeIdxDim; m++) ni->nodeIdx[l * nodeIdxDim + n++] = fiberi->nodeIdx[j * fiberi->nodeIdxDim + m];
686     }
687   }
688 
689   /* now wedge together the push-forward vectors */
690   PetscCall(PetscMalloc1(nNodes * Nk, &(ni->nodeVec)));
691   PetscCall(PetscCalloc2(dimT * dim, &projT, dimF * dim, &projF));
692   for (i = 0; i < dimT; i++) projT[i * (dim + 1)] = 1.;
693   for (i = 0; i < dimF; i++) projF[i * (dim + dimT + 1) + dimT] = 1.;
694   PetscCall(PetscMalloc2(MkT * NkT, &projTstar, MkF * NkF, &projFstar));
695   PetscCall(PetscDTAltVPullbackMatrix(dim, dimT, projT, kT, projTstar));
696   PetscCall(PetscDTAltVPullbackMatrix(dim, dimF, projF, kF, projFstar));
697   PetscCall(PetscMalloc6(MkT, &workT, MkT, &workT2, MkF, &workF, MkF, &workF2, Nk, &work, Nk, &work2));
698   PetscCall(PetscMalloc1(Nk * MkT, &wedgeMat));
699   sign = (PetscAbsInt(kT * kF) & 1) ? -1. : 1.;
700   for (l = 0, j = 0; j < fiberi->nNodes; j++) {
701     PetscInt d, e;
702 
703     /* push forward fiber k-form */
704     for (d = 0; d < MkF; d++) {
705       PetscReal val = 0.;
706       for (e = 0; e < NkF; e++) val += projFstar[d * NkF + e] * fiberi->nodeVec[j * NkF + e];
707       workF[d] = val;
708     }
709     /* Hodge star to proper form if necessary */
710     if (kF < 0) {
711       for (d = 0; d < MkF; d++) workF2[d] = workF[d];
712       PetscCall(PetscDTAltVStar(dim, PetscAbsInt(kF), 1, workF2, workF));
713     }
714     /* Compute the matrix that wedges this form with one of the trace k-form */
715     PetscCall(PetscDTAltVWedgeMatrix(dim, PetscAbsInt(kF), PetscAbsInt(kT), workF, wedgeMat));
716     for (i = 0; i < tracei->nNodes; i++, l++) {
717       /* push forward trace k-form */
718       for (d = 0; d < MkT; d++) {
719         PetscReal val = 0.;
720         for (e = 0; e < NkT; e++) val += projTstar[d * NkT + e] * tracei->nodeVec[i * NkT + e];
721         workT[d] = val;
722       }
723       /* Hodge star to proper form if necessary */
724       if (kT < 0) {
725         for (d = 0; d < MkT; d++) workT2[d] = workT[d];
726         PetscCall(PetscDTAltVStar(dim, PetscAbsInt(kT), 1, workT2, workT));
727       }
728       /* compute the wedge product of the push-forward trace form and firer forms */
729       for (d = 0; d < Nk; d++) {
730         PetscReal val = 0.;
731         for (e = 0; e < MkT; e++) val += wedgeMat[d * MkT + e] * workT[e];
732         work[d] = val;
733       }
734       /* inverse Hodge star from proper form if necessary */
735       if (formDegree < 0) {
736         for (d = 0; d < Nk; d++) work2[d] = work[d];
737         PetscCall(PetscDTAltVStar(dim, PetscAbsInt(formDegree), -1, work2, work));
738       }
739       /* insert into the array (adjusting for sign) */
740       for (d = 0; d < Nk; d++) ni->nodeVec[l * Nk + d] = sign * work[d];
741     }
742   }
743   PetscCall(PetscFree(wedgeMat));
744   PetscCall(PetscFree6(workT, workT2, workF, workF2, work, work2));
745   PetscCall(PetscFree2(projTstar, projFstar));
746   PetscCall(PetscFree2(projT, projF));
747   *nodeIndices = ni;
748   PetscFunctionReturn(PETSC_SUCCESS);
749 }
750 
751 /* simple union of two sets of nodes */
752 static PetscErrorCode PetscLagNodeIndicesMerge(PetscLagNodeIndices niA, PetscLagNodeIndices niB, PetscLagNodeIndices *nodeIndices)
753 {
754   PetscLagNodeIndices ni;
755   PetscInt            nodeIdxDim, nodeVecDim, nNodes;
756 
757   PetscFunctionBegin;
758   PetscCall(PetscNew(&ni));
759   ni->nodeIdxDim = nodeIdxDim = niA->nodeIdxDim;
760   PetscCheck(niB->nodeIdxDim == nodeIdxDim, PETSC_COMM_SELF, PETSC_ERR_ARG_INCOMP, "Cannot merge PetscLagNodeIndices with different nodeIdxDim");
761   ni->nodeVecDim = nodeVecDim = niA->nodeVecDim;
762   PetscCheck(niB->nodeVecDim == nodeVecDim, PETSC_COMM_SELF, PETSC_ERR_ARG_INCOMP, "Cannot merge PetscLagNodeIndices with different nodeVecDim");
763   ni->nNodes = nNodes = niA->nNodes + niB->nNodes;
764   ni->refct           = 1;
765   PetscCall(PetscMalloc1(nNodes * nodeIdxDim, &(ni->nodeIdx)));
766   PetscCall(PetscMalloc1(nNodes * nodeVecDim, &(ni->nodeVec)));
767   PetscCall(PetscArraycpy(ni->nodeIdx, niA->nodeIdx, niA->nNodes * nodeIdxDim));
768   PetscCall(PetscArraycpy(ni->nodeVec, niA->nodeVec, niA->nNodes * nodeVecDim));
769   PetscCall(PetscArraycpy(&(ni->nodeIdx[niA->nNodes * nodeIdxDim]), niB->nodeIdx, niB->nNodes * nodeIdxDim));
770   PetscCall(PetscArraycpy(&(ni->nodeVec[niA->nNodes * nodeVecDim]), niB->nodeVec, niB->nNodes * nodeVecDim));
771   *nodeIndices = ni;
772   PetscFunctionReturn(PETSC_SUCCESS);
773 }
774 
775 #define PETSCTUPINTCOMPREVLEX(N) \
776   static int PetscConcat_(PetscTupIntCompRevlex_, N)(const void *a, const void *b) \
777   { \
778     const PetscInt *A = (const PetscInt *)a; \
779     const PetscInt *B = (const PetscInt *)b; \
780     int             i; \
781     PetscInt        diff = 0; \
782     for (i = 0; i < N; i++) { \
783       diff = A[N - i] - B[N - i]; \
784       if (diff) break; \
785     } \
786     return (diff <= 0) ? (diff < 0) ? -1 : 0 : 1; \
787   }
788 
789 PETSCTUPINTCOMPREVLEX(3)
790 PETSCTUPINTCOMPREVLEX(4)
791 PETSCTUPINTCOMPREVLEX(5)
792 PETSCTUPINTCOMPREVLEX(6)
793 PETSCTUPINTCOMPREVLEX(7)
794 
795 static int PetscTupIntCompRevlex_N(const void *a, const void *b)
796 {
797   const PetscInt *A = (const PetscInt *)a;
798   const PetscInt *B = (const PetscInt *)b;
799   int             i;
800   int             N    = A[0];
801   PetscInt        diff = 0;
802   for (i = 0; i < N; i++) {
803     diff = A[N - i] - B[N - i];
804     if (diff) break;
805   }
806   return (diff <= 0) ? (diff < 0) ? -1 : 0 : 1;
807 }
808 
809 /* The nodes are not necessarily in revlex order wrt nodeIdx: get the permutation
810  * that puts them in that order */
811 static PetscErrorCode PetscLagNodeIndicesGetPermutation(PetscLagNodeIndices ni, PetscInt *perm[])
812 {
813   PetscFunctionBegin;
814   if (!(ni->perm)) {
815     PetscInt *sorter;
816     PetscInt  m          = ni->nNodes;
817     PetscInt  nodeIdxDim = ni->nodeIdxDim;
818     PetscInt  i, j, k, l;
819     PetscInt *prm;
820     int (*comp)(const void *, const void *);
821 
822     PetscCall(PetscMalloc1((nodeIdxDim + 2) * m, &sorter));
823     for (k = 0, l = 0, i = 0; i < m; i++) {
824       sorter[k++] = nodeIdxDim + 1;
825       sorter[k++] = i;
826       for (j = 0; j < nodeIdxDim; j++) sorter[k++] = ni->nodeIdx[l++];
827     }
828     switch (nodeIdxDim) {
829     case 2:
830       comp = PetscTupIntCompRevlex_3;
831       break;
832     case 3:
833       comp = PetscTupIntCompRevlex_4;
834       break;
835     case 4:
836       comp = PetscTupIntCompRevlex_5;
837       break;
838     case 5:
839       comp = PetscTupIntCompRevlex_6;
840       break;
841     case 6:
842       comp = PetscTupIntCompRevlex_7;
843       break;
844     default:
845       comp = PetscTupIntCompRevlex_N;
846       break;
847     }
848     qsort(sorter, m, (nodeIdxDim + 2) * sizeof(PetscInt), comp);
849     PetscCall(PetscMalloc1(m, &prm));
850     for (i = 0; i < m; i++) prm[i] = sorter[(nodeIdxDim + 2) * i + 1];
851     ni->perm = prm;
852     PetscCall(PetscFree(sorter));
853   }
854   *perm = ni->perm;
855   PetscFunctionReturn(PETSC_SUCCESS);
856 }
857 
858 static PetscErrorCode PetscDualSpaceDestroy_Lagrange(PetscDualSpace sp)
859 {
860   PetscDualSpace_Lag *lag = (PetscDualSpace_Lag *)sp->data;
861 
862   PetscFunctionBegin;
863   if (lag->symperms) {
864     PetscInt **selfSyms = lag->symperms[0];
865 
866     if (selfSyms) {
867       PetscInt i, **allocated = &selfSyms[-lag->selfSymOff];
868 
869       for (i = 0; i < lag->numSelfSym; i++) PetscCall(PetscFree(allocated[i]));
870       PetscCall(PetscFree(allocated));
871     }
872     PetscCall(PetscFree(lag->symperms));
873   }
874   if (lag->symflips) {
875     PetscScalar **selfSyms = lag->symflips[0];
876 
877     if (selfSyms) {
878       PetscInt      i;
879       PetscScalar **allocated = &selfSyms[-lag->selfSymOff];
880 
881       for (i = 0; i < lag->numSelfSym; i++) PetscCall(PetscFree(allocated[i]));
882       PetscCall(PetscFree(allocated));
883     }
884     PetscCall(PetscFree(lag->symflips));
885   }
886   PetscCall(Petsc1DNodeFamilyDestroy(&(lag->nodeFamily)));
887   PetscCall(PetscLagNodeIndicesDestroy(&(lag->vertIndices)));
888   PetscCall(PetscLagNodeIndicesDestroy(&(lag->intNodeIndices)));
889   PetscCall(PetscLagNodeIndicesDestroy(&(lag->allNodeIndices)));
890   PetscCall(PetscFree(lag));
891   PetscCall(PetscObjectComposeFunction((PetscObject)sp, "PetscDualSpaceLagrangeGetContinuity_C", NULL));
892   PetscCall(PetscObjectComposeFunction((PetscObject)sp, "PetscDualSpaceLagrangeSetContinuity_C", NULL));
893   PetscCall(PetscObjectComposeFunction((PetscObject)sp, "PetscDualSpaceLagrangeGetTensor_C", NULL));
894   PetscCall(PetscObjectComposeFunction((PetscObject)sp, "PetscDualSpaceLagrangeSetTensor_C", NULL));
895   PetscCall(PetscObjectComposeFunction((PetscObject)sp, "PetscDualSpaceLagrangeGetTrimmed_C", NULL));
896   PetscCall(PetscObjectComposeFunction((PetscObject)sp, "PetscDualSpaceLagrangeSetTrimmed_C", NULL));
897   PetscCall(PetscObjectComposeFunction((PetscObject)sp, "PetscDualSpaceLagrangeGetNodeType_C", NULL));
898   PetscCall(PetscObjectComposeFunction((PetscObject)sp, "PetscDualSpaceLagrangeSetNodeType_C", NULL));
899   PetscCall(PetscObjectComposeFunction((PetscObject)sp, "PetscDualSpaceLagrangeGetUseMoments_C", NULL));
900   PetscCall(PetscObjectComposeFunction((PetscObject)sp, "PetscDualSpaceLagrangeSetUseMoments_C", NULL));
901   PetscCall(PetscObjectComposeFunction((PetscObject)sp, "PetscDualSpaceLagrangeGetMomentOrder_C", NULL));
902   PetscCall(PetscObjectComposeFunction((PetscObject)sp, "PetscDualSpaceLagrangeSetMomentOrder_C", NULL));
903   PetscFunctionReturn(PETSC_SUCCESS);
904 }
905 
906 static PetscErrorCode PetscDualSpaceLagrangeView_Ascii(PetscDualSpace sp, PetscViewer viewer)
907 {
908   PetscDualSpace_Lag *lag = (PetscDualSpace_Lag *)sp->data;
909 
910   PetscFunctionBegin;
911   PetscCall(PetscViewerASCIIPrintf(viewer, "%s %s%sLagrange dual space\n", lag->continuous ? "Continuous" : "Discontinuous", lag->tensorSpace ? "tensor " : "", lag->trimmed ? "trimmed " : ""));
912   PetscFunctionReturn(PETSC_SUCCESS);
913 }
914 
915 static PetscErrorCode PetscDualSpaceView_Lagrange(PetscDualSpace sp, PetscViewer viewer)
916 {
917   PetscBool iascii;
918 
919   PetscFunctionBegin;
920   PetscValidHeaderSpecific(sp, PETSCDUALSPACE_CLASSID, 1);
921   PetscValidHeaderSpecific(viewer, PETSC_VIEWER_CLASSID, 2);
922   PetscCall(PetscObjectTypeCompare((PetscObject)viewer, PETSCVIEWERASCII, &iascii));
923   if (iascii) PetscCall(PetscDualSpaceLagrangeView_Ascii(sp, viewer));
924   PetscFunctionReturn(PETSC_SUCCESS);
925 }
926 
927 static PetscErrorCode PetscDualSpaceSetFromOptions_Lagrange(PetscDualSpace sp, PetscOptionItems *PetscOptionsObject)
928 {
929   PetscBool       continuous, tensor, trimmed, flg, flg2, flg3;
930   PetscDTNodeType nodeType;
931   PetscReal       nodeExponent;
932   PetscInt        momentOrder;
933   PetscBool       nodeEndpoints, useMoments;
934 
935   PetscFunctionBegin;
936   PetscCall(PetscDualSpaceLagrangeGetContinuity(sp, &continuous));
937   PetscCall(PetscDualSpaceLagrangeGetTensor(sp, &tensor));
938   PetscCall(PetscDualSpaceLagrangeGetTrimmed(sp, &trimmed));
939   PetscCall(PetscDualSpaceLagrangeGetNodeType(sp, &nodeType, &nodeEndpoints, &nodeExponent));
940   if (nodeType == PETSCDTNODES_DEFAULT) nodeType = PETSCDTNODES_GAUSSJACOBI;
941   PetscCall(PetscDualSpaceLagrangeGetUseMoments(sp, &useMoments));
942   PetscCall(PetscDualSpaceLagrangeGetMomentOrder(sp, &momentOrder));
943   PetscOptionsHeadBegin(PetscOptionsObject, "PetscDualSpace Lagrange Options");
944   PetscCall(PetscOptionsBool("-petscdualspace_lagrange_continuity", "Flag for continuous element", "PetscDualSpaceLagrangeSetContinuity", continuous, &continuous, &flg));
945   if (flg) PetscCall(PetscDualSpaceLagrangeSetContinuity(sp, continuous));
946   PetscCall(PetscOptionsBool("-petscdualspace_lagrange_tensor", "Flag for tensor dual space", "PetscDualSpaceLagrangeSetTensor", tensor, &tensor, &flg));
947   if (flg) PetscCall(PetscDualSpaceLagrangeSetTensor(sp, tensor));
948   PetscCall(PetscOptionsBool("-petscdualspace_lagrange_trimmed", "Flag for trimmed dual space", "PetscDualSpaceLagrangeSetTrimmed", trimmed, &trimmed, &flg));
949   if (flg) PetscCall(PetscDualSpaceLagrangeSetTrimmed(sp, trimmed));
950   PetscCall(PetscOptionsEnum("-petscdualspace_lagrange_node_type", "Lagrange node location type", "PetscDualSpaceLagrangeSetNodeType", PetscDTNodeTypes, (PetscEnum)nodeType, (PetscEnum *)&nodeType, &flg));
951   PetscCall(PetscOptionsBool("-petscdualspace_lagrange_node_endpoints", "Flag for nodes that include endpoints", "PetscDualSpaceLagrangeSetNodeType", nodeEndpoints, &nodeEndpoints, &flg2));
952   flg3 = PETSC_FALSE;
953   if (nodeType == PETSCDTNODES_GAUSSJACOBI) PetscCall(PetscOptionsReal("-petscdualspace_lagrange_node_exponent", "Gauss-Jacobi weight function exponent", "PetscDualSpaceLagrangeSetNodeType", nodeExponent, &nodeExponent, &flg3));
954   if (flg || flg2 || flg3) PetscCall(PetscDualSpaceLagrangeSetNodeType(sp, nodeType, nodeEndpoints, nodeExponent));
955   PetscCall(PetscOptionsBool("-petscdualspace_lagrange_use_moments", "Use moments (where appropriate) for functionals", "PetscDualSpaceLagrangeSetUseMoments", useMoments, &useMoments, &flg));
956   if (flg) PetscCall(PetscDualSpaceLagrangeSetUseMoments(sp, useMoments));
957   PetscCall(PetscOptionsInt("-petscdualspace_lagrange_moment_order", "Quadrature order for moment functionals", "PetscDualSpaceLagrangeSetMomentOrder", momentOrder, &momentOrder, &flg));
958   if (flg) PetscCall(PetscDualSpaceLagrangeSetMomentOrder(sp, momentOrder));
959   PetscOptionsHeadEnd();
960   PetscFunctionReturn(PETSC_SUCCESS);
961 }
962 
963 static PetscErrorCode PetscDualSpaceDuplicate_Lagrange(PetscDualSpace sp, PetscDualSpace spNew)
964 {
965   PetscBool           cont, tensor, trimmed, boundary;
966   PetscDTNodeType     nodeType;
967   PetscReal           exponent;
968   PetscDualSpace_Lag *lag = (PetscDualSpace_Lag *)sp->data;
969 
970   PetscFunctionBegin;
971   PetscCall(PetscDualSpaceLagrangeGetContinuity(sp, &cont));
972   PetscCall(PetscDualSpaceLagrangeSetContinuity(spNew, cont));
973   PetscCall(PetscDualSpaceLagrangeGetTensor(sp, &tensor));
974   PetscCall(PetscDualSpaceLagrangeSetTensor(spNew, tensor));
975   PetscCall(PetscDualSpaceLagrangeGetTrimmed(sp, &trimmed));
976   PetscCall(PetscDualSpaceLagrangeSetTrimmed(spNew, trimmed));
977   PetscCall(PetscDualSpaceLagrangeGetNodeType(sp, &nodeType, &boundary, &exponent));
978   PetscCall(PetscDualSpaceLagrangeSetNodeType(spNew, nodeType, boundary, exponent));
979   if (lag->nodeFamily) {
980     PetscDualSpace_Lag *lagnew = (PetscDualSpace_Lag *)spNew->data;
981 
982     PetscCall(Petsc1DNodeFamilyReference(lag->nodeFamily));
983     lagnew->nodeFamily = lag->nodeFamily;
984   }
985   PetscFunctionReturn(PETSC_SUCCESS);
986 }
987 
988 /* for making tensor product spaces: take a dual space and product a segment space that has all the same
989  * specifications (trimmed, continuous, order, node set), except for the form degree */
990 static PetscErrorCode PetscDualSpaceCreateEdgeSubspace_Lagrange(PetscDualSpace sp, PetscInt order, PetscInt k, PetscInt Nc, PetscBool interiorOnly, PetscDualSpace *bdsp)
991 {
992   DM                  K;
993   PetscDualSpace_Lag *newlag;
994 
995   PetscFunctionBegin;
996   PetscCall(PetscDualSpaceDuplicate(sp, bdsp));
997   PetscCall(PetscDualSpaceSetFormDegree(*bdsp, k));
998   PetscCall(DMPlexCreateReferenceCell(PETSC_COMM_SELF, DMPolytopeTypeSimpleShape(1, PETSC_TRUE), &K));
999   PetscCall(PetscDualSpaceSetDM(*bdsp, K));
1000   PetscCall(DMDestroy(&K));
1001   PetscCall(PetscDualSpaceSetOrder(*bdsp, order));
1002   PetscCall(PetscDualSpaceSetNumComponents(*bdsp, Nc));
1003   newlag               = (PetscDualSpace_Lag *)(*bdsp)->data;
1004   newlag->interiorOnly = interiorOnly;
1005   PetscCall(PetscDualSpaceSetUp(*bdsp));
1006   PetscFunctionReturn(PETSC_SUCCESS);
1007 }
1008 
1009 /* just the points, weights aren't handled */
1010 static PetscErrorCode PetscQuadratureCreateTensor(PetscQuadrature trace, PetscQuadrature fiber, PetscQuadrature *product)
1011 {
1012   PetscInt         dimTrace, dimFiber;
1013   PetscInt         numPointsTrace, numPointsFiber;
1014   PetscInt         dim, numPoints;
1015   const PetscReal *pointsTrace;
1016   const PetscReal *pointsFiber;
1017   PetscReal       *points;
1018   PetscInt         i, j, k, p;
1019 
1020   PetscFunctionBegin;
1021   PetscCall(PetscQuadratureGetData(trace, &dimTrace, NULL, &numPointsTrace, &pointsTrace, NULL));
1022   PetscCall(PetscQuadratureGetData(fiber, &dimFiber, NULL, &numPointsFiber, &pointsFiber, NULL));
1023   dim       = dimTrace + dimFiber;
1024   numPoints = numPointsFiber * numPointsTrace;
1025   PetscCall(PetscMalloc1(numPoints * dim, &points));
1026   for (p = 0, j = 0; j < numPointsFiber; j++) {
1027     for (i = 0; i < numPointsTrace; i++, p++) {
1028       for (k = 0; k < dimTrace; k++) points[p * dim + k] = pointsTrace[i * dimTrace + k];
1029       for (k = 0; k < dimFiber; k++) points[p * dim + dimTrace + k] = pointsFiber[j * dimFiber + k];
1030     }
1031   }
1032   PetscCall(PetscQuadratureCreate(PETSC_COMM_SELF, product));
1033   PetscCall(PetscQuadratureSetData(*product, dim, 0, numPoints, points, NULL));
1034   PetscFunctionReturn(PETSC_SUCCESS);
1035 }
1036 
1037 /* Kronecker tensor product where matrix is considered a matrix of k-forms, so that
1038  * the entries in the product matrix are wedge products of the entries in the original matrices */
1039 static PetscErrorCode MatTensorAltV(Mat trace, Mat fiber, PetscInt dimTrace, PetscInt kTrace, PetscInt dimFiber, PetscInt kFiber, Mat *product)
1040 {
1041   PetscInt     mTrace, nTrace, mFiber, nFiber, m, n, k, i, j, l;
1042   PetscInt     dim, NkTrace, NkFiber, Nk;
1043   PetscInt     dT, dF;
1044   PetscInt    *nnzTrace, *nnzFiber, *nnz;
1045   PetscInt     iT, iF, jT, jF, il, jl;
1046   PetscReal   *workT, *workT2, *workF, *workF2, *work, *workstar;
1047   PetscReal   *projT, *projF;
1048   PetscReal   *projTstar, *projFstar;
1049   PetscReal   *wedgeMat;
1050   PetscReal    sign;
1051   PetscScalar *workS;
1052   Mat          prod;
1053   /* this produces dof groups that look like the identity */
1054 
1055   PetscFunctionBegin;
1056   PetscCall(MatGetSize(trace, &mTrace, &nTrace));
1057   PetscCall(PetscDTBinomialInt(dimTrace, PetscAbsInt(kTrace), &NkTrace));
1058   PetscCheck(nTrace % NkTrace == 0, PETSC_COMM_SELF, PETSC_ERR_PLIB, "point value space of trace matrix is not a multiple of k-form size");
1059   PetscCall(MatGetSize(fiber, &mFiber, &nFiber));
1060   PetscCall(PetscDTBinomialInt(dimFiber, PetscAbsInt(kFiber), &NkFiber));
1061   PetscCheck(nFiber % NkFiber == 0, PETSC_COMM_SELF, PETSC_ERR_PLIB, "point value space of fiber matrix is not a multiple of k-form size");
1062   PetscCall(PetscMalloc2(mTrace, &nnzTrace, mFiber, &nnzFiber));
1063   for (i = 0; i < mTrace; i++) {
1064     PetscCall(MatGetRow(trace, i, &(nnzTrace[i]), NULL, NULL));
1065     PetscCheck(nnzTrace[i] % NkTrace == 0, PETSC_COMM_SELF, PETSC_ERR_PLIB, "nonzeros in trace matrix are not in k-form size blocks");
1066   }
1067   for (i = 0; i < mFiber; i++) {
1068     PetscCall(MatGetRow(fiber, i, &(nnzFiber[i]), NULL, NULL));
1069     PetscCheck(nnzFiber[i] % NkFiber == 0, PETSC_COMM_SELF, PETSC_ERR_PLIB, "nonzeros in fiber matrix are not in k-form size blocks");
1070   }
1071   dim = dimTrace + dimFiber;
1072   k   = kFiber + kTrace;
1073   PetscCall(PetscDTBinomialInt(dim, PetscAbsInt(k), &Nk));
1074   m = mTrace * mFiber;
1075   PetscCall(PetscMalloc1(m, &nnz));
1076   for (l = 0, j = 0; j < mFiber; j++)
1077     for (i = 0; i < mTrace; i++, l++) nnz[l] = (nnzTrace[i] / NkTrace) * (nnzFiber[j] / NkFiber) * Nk;
1078   n = (nTrace / NkTrace) * (nFiber / NkFiber) * Nk;
1079   PetscCall(MatCreateSeqAIJ(PETSC_COMM_SELF, m, n, 0, nnz, &prod));
1080   PetscCall(PetscFree(nnz));
1081   PetscCall(PetscFree2(nnzTrace, nnzFiber));
1082   /* reasoning about which points each dof needs depends on having zeros computed at points preserved */
1083   PetscCall(MatSetOption(prod, MAT_IGNORE_ZERO_ENTRIES, PETSC_FALSE));
1084   /* compute pullbacks */
1085   PetscCall(PetscDTBinomialInt(dim, PetscAbsInt(kTrace), &dT));
1086   PetscCall(PetscDTBinomialInt(dim, PetscAbsInt(kFiber), &dF));
1087   PetscCall(PetscMalloc4(dimTrace * dim, &projT, dimFiber * dim, &projF, dT * NkTrace, &projTstar, dF * NkFiber, &projFstar));
1088   PetscCall(PetscArrayzero(projT, dimTrace * dim));
1089   for (i = 0; i < dimTrace; i++) projT[i * (dim + 1)] = 1.;
1090   PetscCall(PetscArrayzero(projF, dimFiber * dim));
1091   for (i = 0; i < dimFiber; i++) projF[i * (dim + 1) + dimTrace] = 1.;
1092   PetscCall(PetscDTAltVPullbackMatrix(dim, dimTrace, projT, kTrace, projTstar));
1093   PetscCall(PetscDTAltVPullbackMatrix(dim, dimFiber, projF, kFiber, projFstar));
1094   PetscCall(PetscMalloc5(dT, &workT, dF, &workF, Nk, &work, Nk, &workstar, Nk, &workS));
1095   PetscCall(PetscMalloc2(dT, &workT2, dF, &workF2));
1096   PetscCall(PetscMalloc1(Nk * dT, &wedgeMat));
1097   sign = (PetscAbsInt(kTrace * kFiber) & 1) ? -1. : 1.;
1098   for (i = 0, iF = 0; iF < mFiber; iF++) {
1099     PetscInt           ncolsF, nformsF;
1100     const PetscInt    *colsF;
1101     const PetscScalar *valsF;
1102 
1103     PetscCall(MatGetRow(fiber, iF, &ncolsF, &colsF, &valsF));
1104     nformsF = ncolsF / NkFiber;
1105     for (iT = 0; iT < mTrace; iT++, i++) {
1106       PetscInt           ncolsT, nformsT;
1107       const PetscInt    *colsT;
1108       const PetscScalar *valsT;
1109 
1110       PetscCall(MatGetRow(trace, iT, &ncolsT, &colsT, &valsT));
1111       nformsT = ncolsT / NkTrace;
1112       for (j = 0, jF = 0; jF < nformsF; jF++) {
1113         PetscInt colF = colsF[jF * NkFiber] / NkFiber;
1114 
1115         for (il = 0; il < dF; il++) {
1116           PetscReal val = 0.;
1117           for (jl = 0; jl < NkFiber; jl++) val += projFstar[il * NkFiber + jl] * PetscRealPart(valsF[jF * NkFiber + jl]);
1118           workF[il] = val;
1119         }
1120         if (kFiber < 0) {
1121           for (il = 0; il < dF; il++) workF2[il] = workF[il];
1122           PetscCall(PetscDTAltVStar(dim, PetscAbsInt(kFiber), 1, workF2, workF));
1123         }
1124         PetscCall(PetscDTAltVWedgeMatrix(dim, PetscAbsInt(kFiber), PetscAbsInt(kTrace), workF, wedgeMat));
1125         for (jT = 0; jT < nformsT; jT++, j++) {
1126           PetscInt           colT = colsT[jT * NkTrace] / NkTrace;
1127           PetscInt           col  = colF * (nTrace / NkTrace) + colT;
1128           const PetscScalar *vals;
1129 
1130           for (il = 0; il < dT; il++) {
1131             PetscReal val = 0.;
1132             for (jl = 0; jl < NkTrace; jl++) val += projTstar[il * NkTrace + jl] * PetscRealPart(valsT[jT * NkTrace + jl]);
1133             workT[il] = val;
1134           }
1135           if (kTrace < 0) {
1136             for (il = 0; il < dT; il++) workT2[il] = workT[il];
1137             PetscCall(PetscDTAltVStar(dim, PetscAbsInt(kTrace), 1, workT2, workT));
1138           }
1139 
1140           for (il = 0; il < Nk; il++) {
1141             PetscReal val = 0.;
1142             for (jl = 0; jl < dT; jl++) val += sign * wedgeMat[il * dT + jl] * workT[jl];
1143             work[il] = val;
1144           }
1145           if (k < 0) {
1146             PetscCall(PetscDTAltVStar(dim, PetscAbsInt(k), -1, work, workstar));
1147 #if defined(PETSC_USE_COMPLEX)
1148             for (l = 0; l < Nk; l++) workS[l] = workstar[l];
1149             vals = &workS[0];
1150 #else
1151             vals = &workstar[0];
1152 #endif
1153           } else {
1154 #if defined(PETSC_USE_COMPLEX)
1155             for (l = 0; l < Nk; l++) workS[l] = work[l];
1156             vals = &workS[0];
1157 #else
1158             vals = &work[0];
1159 #endif
1160           }
1161           for (l = 0; l < Nk; l++) PetscCall(MatSetValue(prod, i, col * Nk + l, vals[l], INSERT_VALUES)); /* Nk */
1162         }                                                                                                 /* jT */
1163       }                                                                                                   /* jF */
1164       PetscCall(MatRestoreRow(trace, iT, &ncolsT, &colsT, &valsT));
1165     } /* iT */
1166     PetscCall(MatRestoreRow(fiber, iF, &ncolsF, &colsF, &valsF));
1167   } /* iF */
1168   PetscCall(PetscFree(wedgeMat));
1169   PetscCall(PetscFree4(projT, projF, projTstar, projFstar));
1170   PetscCall(PetscFree2(workT2, workF2));
1171   PetscCall(PetscFree5(workT, workF, work, workstar, workS));
1172   PetscCall(MatAssemblyBegin(prod, MAT_FINAL_ASSEMBLY));
1173   PetscCall(MatAssemblyEnd(prod, MAT_FINAL_ASSEMBLY));
1174   *product = prod;
1175   PetscFunctionReturn(PETSC_SUCCESS);
1176 }
1177 
1178 /* Union of quadrature points, with an attempt to identify common points in the two sets */
1179 static PetscErrorCode PetscQuadraturePointsMerge(PetscQuadrature quadA, PetscQuadrature quadB, PetscQuadrature *quadJoint, PetscInt *aToJoint[], PetscInt *bToJoint[])
1180 {
1181   PetscInt         dimA, dimB;
1182   PetscInt         nA, nB, nJoint, i, j, d;
1183   const PetscReal *pointsA;
1184   const PetscReal *pointsB;
1185   PetscReal       *pointsJoint;
1186   PetscInt        *aToJ, *bToJ;
1187   PetscQuadrature  qJ;
1188 
1189   PetscFunctionBegin;
1190   PetscCall(PetscQuadratureGetData(quadA, &dimA, NULL, &nA, &pointsA, NULL));
1191   PetscCall(PetscQuadratureGetData(quadB, &dimB, NULL, &nB, &pointsB, NULL));
1192   PetscCheck(dimA == dimB, PETSC_COMM_SELF, PETSC_ERR_ARG_INCOMP, "Quadrature points must be in the same dimension");
1193   nJoint = nA;
1194   PetscCall(PetscMalloc1(nA, &aToJ));
1195   for (i = 0; i < nA; i++) aToJ[i] = i;
1196   PetscCall(PetscMalloc1(nB, &bToJ));
1197   for (i = 0; i < nB; i++) {
1198     for (j = 0; j < nA; j++) {
1199       bToJ[i] = -1;
1200       for (d = 0; d < dimA; d++)
1201         if (PetscAbsReal(pointsB[i * dimA + d] - pointsA[j * dimA + d]) > PETSC_SMALL) break;
1202       if (d == dimA) {
1203         bToJ[i] = j;
1204         break;
1205       }
1206     }
1207     if (bToJ[i] == -1) bToJ[i] = nJoint++;
1208   }
1209   *aToJoint = aToJ;
1210   *bToJoint = bToJ;
1211   PetscCall(PetscMalloc1(nJoint * dimA, &pointsJoint));
1212   PetscCall(PetscArraycpy(pointsJoint, pointsA, nA * dimA));
1213   for (i = 0; i < nB; i++) {
1214     if (bToJ[i] >= nA) {
1215       for (d = 0; d < dimA; d++) pointsJoint[bToJ[i] * dimA + d] = pointsB[i * dimA + d];
1216     }
1217   }
1218   PetscCall(PetscQuadratureCreate(PETSC_COMM_SELF, &qJ));
1219   PetscCall(PetscQuadratureSetData(qJ, dimA, 0, nJoint, pointsJoint, NULL));
1220   *quadJoint = qJ;
1221   PetscFunctionReturn(PETSC_SUCCESS);
1222 }
1223 
1224 /* Matrices matA and matB are both quadrature -> dof matrices: produce a matrix that is joint quadrature -> union of
1225  * dofs, where the joint quadrature was produced by PetscQuadraturePointsMerge */
1226 static PetscErrorCode MatricesMerge(Mat matA, Mat matB, PetscInt dim, PetscInt k, PetscInt numMerged, const PetscInt aToMerged[], const PetscInt bToMerged[], Mat *matMerged)
1227 {
1228   PetscInt  m, n, mA, nA, mB, nB, Nk, i, j, l;
1229   Mat       M;
1230   PetscInt *nnz;
1231   PetscInt  maxnnz;
1232   PetscInt *work;
1233 
1234   PetscFunctionBegin;
1235   PetscCall(PetscDTBinomialInt(dim, PetscAbsInt(k), &Nk));
1236   PetscCall(MatGetSize(matA, &mA, &nA));
1237   PetscCheck(nA % Nk == 0, PETSC_COMM_SELF, PETSC_ERR_ARG_SIZ, "matA column space not a multiple of k-form size");
1238   PetscCall(MatGetSize(matB, &mB, &nB));
1239   PetscCheck(nB % Nk == 0, PETSC_COMM_SELF, PETSC_ERR_ARG_SIZ, "matB column space not a multiple of k-form size");
1240   m = mA + mB;
1241   n = numMerged * Nk;
1242   PetscCall(PetscMalloc1(m, &nnz));
1243   maxnnz = 0;
1244   for (i = 0; i < mA; i++) {
1245     PetscCall(MatGetRow(matA, i, &(nnz[i]), NULL, NULL));
1246     PetscCheck(nnz[i] % Nk == 0, PETSC_COMM_SELF, PETSC_ERR_PLIB, "nonzeros in matA are not in k-form size blocks");
1247     maxnnz = PetscMax(maxnnz, nnz[i]);
1248   }
1249   for (i = 0; i < mB; i++) {
1250     PetscCall(MatGetRow(matB, i, &(nnz[i + mA]), NULL, NULL));
1251     PetscCheck(nnz[i + mA] % Nk == 0, PETSC_COMM_SELF, PETSC_ERR_PLIB, "nonzeros in matB are not in k-form size blocks");
1252     maxnnz = PetscMax(maxnnz, nnz[i + mA]);
1253   }
1254   PetscCall(MatCreateSeqAIJ(PETSC_COMM_SELF, m, n, 0, nnz, &M));
1255   PetscCall(PetscFree(nnz));
1256   /* reasoning about which points each dof needs depends on having zeros computed at points preserved */
1257   PetscCall(MatSetOption(M, MAT_IGNORE_ZERO_ENTRIES, PETSC_FALSE));
1258   PetscCall(PetscMalloc1(maxnnz, &work));
1259   for (i = 0; i < mA; i++) {
1260     const PetscInt    *cols;
1261     const PetscScalar *vals;
1262     PetscInt           nCols;
1263     PetscCall(MatGetRow(matA, i, &nCols, &cols, &vals));
1264     for (j = 0; j < nCols / Nk; j++) {
1265       PetscInt newCol = aToMerged[cols[j * Nk] / Nk];
1266       for (l = 0; l < Nk; l++) work[j * Nk + l] = newCol * Nk + l;
1267     }
1268     PetscCall(MatSetValuesBlocked(M, 1, &i, nCols, work, vals, INSERT_VALUES));
1269     PetscCall(MatRestoreRow(matA, i, &nCols, &cols, &vals));
1270   }
1271   for (i = 0; i < mB; i++) {
1272     const PetscInt    *cols;
1273     const PetscScalar *vals;
1274 
1275     PetscInt row = i + mA;
1276     PetscInt nCols;
1277     PetscCall(MatGetRow(matB, i, &nCols, &cols, &vals));
1278     for (j = 0; j < nCols / Nk; j++) {
1279       PetscInt newCol = bToMerged[cols[j * Nk] / Nk];
1280       for (l = 0; l < Nk; l++) work[j * Nk + l] = newCol * Nk + l;
1281     }
1282     PetscCall(MatSetValuesBlocked(M, 1, &row, nCols, work, vals, INSERT_VALUES));
1283     PetscCall(MatRestoreRow(matB, i, &nCols, &cols, &vals));
1284   }
1285   PetscCall(PetscFree(work));
1286   PetscCall(MatAssemblyBegin(M, MAT_FINAL_ASSEMBLY));
1287   PetscCall(MatAssemblyEnd(M, MAT_FINAL_ASSEMBLY));
1288   *matMerged = M;
1289   PetscFunctionReturn(PETSC_SUCCESS);
1290 }
1291 
1292 /* Take a dual space and product a segment space that has all the same specifications (trimmed, continuous, order,
1293  * node set), except for the form degree.  For computing boundary dofs and for making tensor product spaces */
1294 static PetscErrorCode PetscDualSpaceCreateFacetSubspace_Lagrange(PetscDualSpace sp, DM K, PetscInt f, PetscInt k, PetscInt Ncopies, PetscBool interiorOnly, PetscDualSpace *bdsp)
1295 {
1296   PetscInt            Nknew, Ncnew;
1297   PetscInt            dim, pointDim = -1;
1298   PetscInt            depth;
1299   DM                  dm;
1300   PetscDualSpace_Lag *newlag;
1301 
1302   PetscFunctionBegin;
1303   PetscCall(PetscDualSpaceGetDM(sp, &dm));
1304   PetscCall(DMGetDimension(dm, &dim));
1305   PetscCall(DMPlexGetDepth(dm, &depth));
1306   PetscCall(PetscDualSpaceDuplicate(sp, bdsp));
1307   PetscCall(PetscDualSpaceSetFormDegree(*bdsp, k));
1308   if (!K) {
1309     if (depth == dim) {
1310       DMPolytopeType ct;
1311 
1312       pointDim = dim - 1;
1313       PetscCall(DMPlexGetCellType(dm, f, &ct));
1314       PetscCall(DMPlexCreateReferenceCell(PETSC_COMM_SELF, ct, &K));
1315     } else if (depth == 1) {
1316       pointDim = 0;
1317       PetscCall(DMPlexCreateReferenceCell(PETSC_COMM_SELF, DM_POLYTOPE_POINT, &K));
1318     } else SETERRQ(PETSC_COMM_SELF, PETSC_ERR_PLIB, "Unsupported interpolation state of reference element");
1319   } else {
1320     PetscCall(PetscObjectReference((PetscObject)K));
1321     PetscCall(DMGetDimension(K, &pointDim));
1322   }
1323   PetscCall(PetscDualSpaceSetDM(*bdsp, K));
1324   PetscCall(DMDestroy(&K));
1325   PetscCall(PetscDTBinomialInt(pointDim, PetscAbsInt(k), &Nknew));
1326   Ncnew = Nknew * Ncopies;
1327   PetscCall(PetscDualSpaceSetNumComponents(*bdsp, Ncnew));
1328   newlag               = (PetscDualSpace_Lag *)(*bdsp)->data;
1329   newlag->interiorOnly = interiorOnly;
1330   PetscCall(PetscDualSpaceSetUp(*bdsp));
1331   PetscFunctionReturn(PETSC_SUCCESS);
1332 }
1333 
1334 /* Construct simplex nodes from a nodefamily, add Nk dof vectors of length Nk at each node.
1335  * Return the (quadrature, matrix) form of the dofs and the nodeIndices form as well.
1336  *
1337  * Sometimes we want a set of nodes to be contained in the interior of the element,
1338  * even when the node scheme puts nodes on the boundaries.  numNodeSkip tells
1339  * the routine how many "layers" of nodes need to be skipped.
1340  * */
1341 static PetscErrorCode PetscDualSpaceLagrangeCreateSimplexNodeMat(Petsc1DNodeFamily nodeFamily, PetscInt dim, PetscInt sum, PetscInt Nk, PetscInt numNodeSkip, PetscQuadrature *iNodes, Mat *iMat, PetscLagNodeIndices *nodeIndices)
1342 {
1343   PetscReal          *extraNodeCoords, *nodeCoords;
1344   PetscInt            nNodes, nExtraNodes;
1345   PetscInt            i, j, k, extraSum = sum + numNodeSkip * (1 + dim);
1346   PetscQuadrature     intNodes;
1347   Mat                 intMat;
1348   PetscLagNodeIndices ni;
1349 
1350   PetscFunctionBegin;
1351   PetscCall(PetscDTBinomialInt(dim + sum, dim, &nNodes));
1352   PetscCall(PetscDTBinomialInt(dim + extraSum, dim, &nExtraNodes));
1353 
1354   PetscCall(PetscMalloc1(dim * nExtraNodes, &extraNodeCoords));
1355   PetscCall(PetscNew(&ni));
1356   ni->nodeIdxDim = dim + 1;
1357   ni->nodeVecDim = Nk;
1358   ni->nNodes     = nNodes * Nk;
1359   ni->refct      = 1;
1360   PetscCall(PetscMalloc1(nNodes * Nk * (dim + 1), &(ni->nodeIdx)));
1361   PetscCall(PetscMalloc1(nNodes * Nk * Nk, &(ni->nodeVec)));
1362   for (i = 0; i < nNodes; i++)
1363     for (j = 0; j < Nk; j++)
1364       for (k = 0; k < Nk; k++) ni->nodeVec[(i * Nk + j) * Nk + k] = (j == k) ? 1. : 0.;
1365   PetscCall(Petsc1DNodeFamilyComputeSimplexNodes(nodeFamily, dim, extraSum, extraNodeCoords));
1366   if (numNodeSkip) {
1367     PetscInt  k;
1368     PetscInt *tup;
1369 
1370     PetscCall(PetscMalloc1(dim * nNodes, &nodeCoords));
1371     PetscCall(PetscMalloc1(dim + 1, &tup));
1372     for (k = 0; k < nNodes; k++) {
1373       PetscInt j, c;
1374       PetscInt index;
1375 
1376       PetscCall(PetscDTIndexToBary(dim + 1, sum, k, tup));
1377       for (j = 0; j < dim + 1; j++) tup[j] += numNodeSkip;
1378       for (c = 0; c < Nk; c++) {
1379         for (j = 0; j < dim + 1; j++) ni->nodeIdx[(k * Nk + c) * (dim + 1) + j] = tup[j] + 1;
1380       }
1381       PetscCall(PetscDTBaryToIndex(dim + 1, extraSum, tup, &index));
1382       for (j = 0; j < dim; j++) nodeCoords[k * dim + j] = extraNodeCoords[index * dim + j];
1383     }
1384     PetscCall(PetscFree(tup));
1385     PetscCall(PetscFree(extraNodeCoords));
1386   } else {
1387     PetscInt  k;
1388     PetscInt *tup;
1389 
1390     nodeCoords = extraNodeCoords;
1391     PetscCall(PetscMalloc1(dim + 1, &tup));
1392     for (k = 0; k < nNodes; k++) {
1393       PetscInt j, c;
1394 
1395       PetscCall(PetscDTIndexToBary(dim + 1, sum, k, tup));
1396       for (c = 0; c < Nk; c++) {
1397         for (j = 0; j < dim + 1; j++) {
1398           /* barycentric indices can have zeros, but we don't want to push forward zeros because it makes it harder to
1399            * determine which nodes correspond to which under symmetries, so we increase by 1.  This is fine
1400            * because the nodeIdx coordinates don't have any meaning other than helping to identify symmetries */
1401           ni->nodeIdx[(k * Nk + c) * (dim + 1) + j] = tup[j] + 1;
1402         }
1403       }
1404     }
1405     PetscCall(PetscFree(tup));
1406   }
1407   PetscCall(PetscQuadratureCreate(PETSC_COMM_SELF, &intNodes));
1408   PetscCall(PetscQuadratureSetData(intNodes, dim, 0, nNodes, nodeCoords, NULL));
1409   PetscCall(MatCreateSeqAIJ(PETSC_COMM_SELF, nNodes * Nk, nNodes * Nk, Nk, NULL, &intMat));
1410   PetscCall(MatSetOption(intMat, MAT_IGNORE_ZERO_ENTRIES, PETSC_FALSE));
1411   for (j = 0; j < nNodes * Nk; j++) {
1412     PetscInt rem = j % Nk;
1413     PetscInt a, aprev = j - rem;
1414     PetscInt anext = aprev + Nk;
1415 
1416     for (a = aprev; a < anext; a++) PetscCall(MatSetValue(intMat, j, a, (a == j) ? 1. : 0., INSERT_VALUES));
1417   }
1418   PetscCall(MatAssemblyBegin(intMat, MAT_FINAL_ASSEMBLY));
1419   PetscCall(MatAssemblyEnd(intMat, MAT_FINAL_ASSEMBLY));
1420   *iNodes      = intNodes;
1421   *iMat        = intMat;
1422   *nodeIndices = ni;
1423   PetscFunctionReturn(PETSC_SUCCESS);
1424 }
1425 
1426 /* once the nodeIndices have been created for the interior of the reference cell, and for all of the boundary cells,
1427  * push forward the boundary dofs and concatenate them into the full node indices for the dual space */
1428 static PetscErrorCode PetscDualSpaceLagrangeCreateAllNodeIdx(PetscDualSpace sp)
1429 {
1430   DM                  dm;
1431   PetscInt            dim, nDofs;
1432   PetscSection        section;
1433   PetscInt            pStart, pEnd, p;
1434   PetscInt            formDegree, Nk;
1435   PetscInt            nodeIdxDim, spintdim;
1436   PetscDualSpace_Lag *lag;
1437   PetscLagNodeIndices ni, verti;
1438 
1439   PetscFunctionBegin;
1440   lag   = (PetscDualSpace_Lag *)sp->data;
1441   verti = lag->vertIndices;
1442   PetscCall(PetscDualSpaceGetDM(sp, &dm));
1443   PetscCall(DMGetDimension(dm, &dim));
1444   PetscCall(PetscDualSpaceGetFormDegree(sp, &formDegree));
1445   PetscCall(PetscDTBinomialInt(dim, PetscAbsInt(formDegree), &Nk));
1446   PetscCall(PetscDualSpaceGetSection(sp, &section));
1447   PetscCall(PetscSectionGetStorageSize(section, &nDofs));
1448   PetscCall(PetscNew(&ni));
1449   ni->nodeIdxDim = nodeIdxDim = verti->nodeIdxDim;
1450   ni->nodeVecDim              = Nk;
1451   ni->nNodes                  = nDofs;
1452   ni->refct                   = 1;
1453   PetscCall(PetscMalloc1(nodeIdxDim * nDofs, &(ni->nodeIdx)));
1454   PetscCall(PetscMalloc1(Nk * nDofs, &(ni->nodeVec)));
1455   PetscCall(DMPlexGetChart(dm, &pStart, &pEnd));
1456   PetscCall(PetscSectionGetDof(section, 0, &spintdim));
1457   if (spintdim) {
1458     PetscCall(PetscArraycpy(ni->nodeIdx, lag->intNodeIndices->nodeIdx, spintdim * nodeIdxDim));
1459     PetscCall(PetscArraycpy(ni->nodeVec, lag->intNodeIndices->nodeVec, spintdim * Nk));
1460   }
1461   for (p = pStart + 1; p < pEnd; p++) {
1462     PetscDualSpace      psp = sp->pointSpaces[p];
1463     PetscDualSpace_Lag *plag;
1464     PetscInt            dof, off;
1465 
1466     PetscCall(PetscSectionGetDof(section, p, &dof));
1467     if (!dof) continue;
1468     plag = (PetscDualSpace_Lag *)psp->data;
1469     PetscCall(PetscSectionGetOffset(section, p, &off));
1470     PetscCall(PetscLagNodeIndicesPushForward(dm, verti, p, plag->vertIndices, plag->intNodeIndices, 0, formDegree, &(ni->nodeIdx[off * nodeIdxDim]), &(ni->nodeVec[off * Nk])));
1471   }
1472   lag->allNodeIndices = ni;
1473   PetscFunctionReturn(PETSC_SUCCESS);
1474 }
1475 
1476 /* once the (quadrature, Matrix) forms of the dofs have been created for the interior of the
1477  * reference cell and for the boundary cells, jk
1478  * push forward the boundary data and concatenate them into the full (quadrature, matrix) data
1479  * for the dual space */
1480 static PetscErrorCode PetscDualSpaceCreateAllDataFromInteriorData(PetscDualSpace sp)
1481 {
1482   DM              dm;
1483   PetscSection    section;
1484   PetscInt        pStart, pEnd, p, k, Nk, dim, Nc;
1485   PetscInt        nNodes;
1486   PetscInt        countNodes;
1487   Mat             allMat;
1488   PetscQuadrature allNodes;
1489   PetscInt        nDofs;
1490   PetscInt        maxNzforms, j;
1491   PetscScalar    *work;
1492   PetscReal      *L, *J, *Jinv, *v0, *pv0;
1493   PetscInt       *iwork;
1494   PetscReal      *nodes;
1495 
1496   PetscFunctionBegin;
1497   PetscCall(PetscDualSpaceGetDM(sp, &dm));
1498   PetscCall(DMGetDimension(dm, &dim));
1499   PetscCall(PetscDualSpaceGetSection(sp, &section));
1500   PetscCall(PetscSectionGetStorageSize(section, &nDofs));
1501   PetscCall(DMPlexGetChart(dm, &pStart, &pEnd));
1502   PetscCall(PetscDualSpaceGetFormDegree(sp, &k));
1503   PetscCall(PetscDualSpaceGetNumComponents(sp, &Nc));
1504   PetscCall(PetscDTBinomialInt(dim, PetscAbsInt(k), &Nk));
1505   for (p = pStart, nNodes = 0, maxNzforms = 0; p < pEnd; p++) {
1506     PetscDualSpace  psp;
1507     DM              pdm;
1508     PetscInt        pdim, pNk;
1509     PetscQuadrature intNodes;
1510     Mat             intMat;
1511 
1512     PetscCall(PetscDualSpaceGetPointSubspace(sp, p, &psp));
1513     if (!psp) continue;
1514     PetscCall(PetscDualSpaceGetDM(psp, &pdm));
1515     PetscCall(DMGetDimension(pdm, &pdim));
1516     if (pdim < PetscAbsInt(k)) continue;
1517     PetscCall(PetscDTBinomialInt(pdim, PetscAbsInt(k), &pNk));
1518     PetscCall(PetscDualSpaceGetInteriorData(psp, &intNodes, &intMat));
1519     if (intNodes) {
1520       PetscInt nNodesp;
1521 
1522       PetscCall(PetscQuadratureGetData(intNodes, NULL, NULL, &nNodesp, NULL, NULL));
1523       nNodes += nNodesp;
1524     }
1525     if (intMat) {
1526       PetscInt maxNzsp;
1527       PetscInt maxNzformsp;
1528 
1529       PetscCall(MatSeqAIJGetMaxRowNonzeros(intMat, &maxNzsp));
1530       PetscCheck(maxNzsp % pNk == 0, PETSC_COMM_SELF, PETSC_ERR_PLIB, "interior matrix is not laid out as blocks of k-forms");
1531       maxNzformsp = maxNzsp / pNk;
1532       maxNzforms  = PetscMax(maxNzforms, maxNzformsp);
1533     }
1534   }
1535   PetscCall(MatCreateSeqAIJ(PETSC_COMM_SELF, nDofs, nNodes * Nc, maxNzforms * Nk, NULL, &allMat));
1536   PetscCall(MatSetOption(allMat, MAT_IGNORE_ZERO_ENTRIES, PETSC_FALSE));
1537   PetscCall(PetscMalloc7(dim, &v0, dim, &pv0, dim * dim, &J, dim * dim, &Jinv, Nk * Nk, &L, maxNzforms * Nk, &work, maxNzforms * Nk, &iwork));
1538   for (j = 0; j < dim; j++) pv0[j] = -1.;
1539   PetscCall(PetscMalloc1(dim * nNodes, &nodes));
1540   for (p = pStart, countNodes = 0; p < pEnd; p++) {
1541     PetscDualSpace  psp;
1542     PetscQuadrature intNodes;
1543     DM              pdm;
1544     PetscInt        pdim, pNk;
1545     PetscInt        countNodesIn = countNodes;
1546     PetscReal       detJ;
1547     Mat             intMat;
1548 
1549     PetscCall(PetscDualSpaceGetPointSubspace(sp, p, &psp));
1550     if (!psp) continue;
1551     PetscCall(PetscDualSpaceGetDM(psp, &pdm));
1552     PetscCall(DMGetDimension(pdm, &pdim));
1553     if (pdim < PetscAbsInt(k)) continue;
1554     PetscCall(PetscDualSpaceGetInteriorData(psp, &intNodes, &intMat));
1555     if (intNodes == NULL && intMat == NULL) continue;
1556     PetscCall(PetscDTBinomialInt(pdim, PetscAbsInt(k), &pNk));
1557     if (p) {
1558       PetscCall(DMPlexComputeCellGeometryAffineFEM(dm, p, v0, J, Jinv, &detJ));
1559     } else { /* identity */
1560       PetscInt i, j;
1561 
1562       for (i = 0; i < dim; i++)
1563         for (j = 0; j < dim; j++) J[i * dim + j] = Jinv[i * dim + j] = 0.;
1564       for (i = 0; i < dim; i++) J[i * dim + i] = Jinv[i * dim + i] = 1.;
1565       for (i = 0; i < dim; i++) v0[i] = -1.;
1566     }
1567     if (pdim != dim) { /* compactify Jacobian */
1568       PetscInt i, j;
1569 
1570       for (i = 0; i < dim; i++)
1571         for (j = 0; j < pdim; j++) J[i * pdim + j] = J[i * dim + j];
1572     }
1573     PetscCall(PetscDTAltVPullbackMatrix(pdim, dim, J, k, L));
1574     if (intNodes) { /* push forward quadrature locations by the affine transformation */
1575       PetscInt         nNodesp;
1576       const PetscReal *nodesp;
1577       PetscInt         j;
1578 
1579       PetscCall(PetscQuadratureGetData(intNodes, NULL, NULL, &nNodesp, &nodesp, NULL));
1580       for (j = 0; j < nNodesp; j++, countNodes++) {
1581         PetscInt d, e;
1582 
1583         for (d = 0; d < dim; d++) {
1584           nodes[countNodes * dim + d] = v0[d];
1585           for (e = 0; e < pdim; e++) nodes[countNodes * dim + d] += J[d * pdim + e] * (nodesp[j * pdim + e] - pv0[e]);
1586         }
1587       }
1588     }
1589     if (intMat) {
1590       PetscInt nrows;
1591       PetscInt off;
1592 
1593       PetscCall(PetscSectionGetDof(section, p, &nrows));
1594       PetscCall(PetscSectionGetOffset(section, p, &off));
1595       for (j = 0; j < nrows; j++) {
1596         PetscInt           ncols;
1597         const PetscInt    *cols;
1598         const PetscScalar *vals;
1599         PetscInt           l, d, e;
1600         PetscInt           row = j + off;
1601 
1602         PetscCall(MatGetRow(intMat, j, &ncols, &cols, &vals));
1603         PetscCheck(ncols % pNk == 0, PETSC_COMM_SELF, PETSC_ERR_PLIB, "interior matrix is not laid out as blocks of k-forms");
1604         for (l = 0; l < ncols / pNk; l++) {
1605           PetscInt blockcol;
1606 
1607           for (d = 0; d < pNk; d++) PetscCheck((cols[l * pNk + d] % pNk) == d, PETSC_COMM_SELF, PETSC_ERR_PLIB, "interior matrix is not laid out as blocks of k-forms");
1608           blockcol = cols[l * pNk] / pNk;
1609           for (d = 0; d < Nk; d++) iwork[l * Nk + d] = (blockcol + countNodesIn) * Nk + d;
1610           for (d = 0; d < Nk; d++) work[l * Nk + d] = 0.;
1611           for (d = 0; d < Nk; d++) {
1612             for (e = 0; e < pNk; e++) {
1613               /* "push forward" dof by pulling back a k-form to be evaluated on the point: multiply on the right by L */
1614               work[l * Nk + d] += vals[l * pNk + e] * L[e * Nk + d];
1615             }
1616           }
1617         }
1618         PetscCall(MatSetValues(allMat, 1, &row, (ncols / pNk) * Nk, iwork, work, INSERT_VALUES));
1619         PetscCall(MatRestoreRow(intMat, j, &ncols, &cols, &vals));
1620       }
1621     }
1622   }
1623   PetscCall(MatAssemblyBegin(allMat, MAT_FINAL_ASSEMBLY));
1624   PetscCall(MatAssemblyEnd(allMat, MAT_FINAL_ASSEMBLY));
1625   PetscCall(PetscQuadratureCreate(PETSC_COMM_SELF, &allNodes));
1626   PetscCall(PetscQuadratureSetData(allNodes, dim, 0, nNodes, nodes, NULL));
1627   PetscCall(PetscFree7(v0, pv0, J, Jinv, L, work, iwork));
1628   PetscCall(MatDestroy(&(sp->allMat)));
1629   sp->allMat = allMat;
1630   PetscCall(PetscQuadratureDestroy(&(sp->allNodes)));
1631   sp->allNodes = allNodes;
1632   PetscFunctionReturn(PETSC_SUCCESS);
1633 }
1634 
1635 /* rather than trying to get all data from the functionals, we create
1636  * the functionals from rows of the quadrature -> dof matrix.
1637  *
1638  * Ideally most of the uses of PetscDualSpace in PetscFE will switch
1639  * to using intMat and allMat, so that the individual functionals
1640  * don't need to be constructed at all */
1641 static PetscErrorCode PetscDualSpaceComputeFunctionalsFromAllData(PetscDualSpace sp)
1642 {
1643   PetscQuadrature  allNodes;
1644   Mat              allMat;
1645   PetscInt         nDofs;
1646   PetscInt         dim, k, Nk, Nc, f;
1647   DM               dm;
1648   PetscInt         nNodes, spdim;
1649   const PetscReal *nodes = NULL;
1650   PetscSection     section;
1651   PetscBool        useMoments;
1652 
1653   PetscFunctionBegin;
1654   PetscCall(PetscDualSpaceGetDM(sp, &dm));
1655   PetscCall(DMGetDimension(dm, &dim));
1656   PetscCall(PetscDualSpaceGetNumComponents(sp, &Nc));
1657   PetscCall(PetscDualSpaceGetFormDegree(sp, &k));
1658   PetscCall(PetscDTBinomialInt(dim, PetscAbsInt(k), &Nk));
1659   PetscCall(PetscDualSpaceGetAllData(sp, &allNodes, &allMat));
1660   nNodes = 0;
1661   if (allNodes) PetscCall(PetscQuadratureGetData(allNodes, NULL, NULL, &nNodes, &nodes, NULL));
1662   PetscCall(MatGetSize(allMat, &nDofs, NULL));
1663   PetscCall(PetscDualSpaceGetSection(sp, &section));
1664   PetscCall(PetscSectionGetStorageSize(section, &spdim));
1665   PetscCheck(spdim == nDofs, PETSC_COMM_SELF, PETSC_ERR_PLIB, "incompatible all matrix size");
1666   PetscCall(PetscMalloc1(nDofs, &(sp->functional)));
1667   PetscCall(PetscDualSpaceLagrangeGetUseMoments(sp, &useMoments));
1668   if (useMoments) {
1669     Mat              allMat;
1670     PetscInt         momentOrder, i;
1671     PetscBool        tensor = PETSC_FALSE;
1672     const PetscReal *weights;
1673     PetscScalar     *array;
1674 
1675     PetscCheck(nDofs == 1, PETSC_COMM_SELF, PETSC_ERR_SUP, "We do not yet support moments beyond P0, nDofs == %" PetscInt_FMT, nDofs);
1676     PetscCall(PetscDualSpaceLagrangeGetMomentOrder(sp, &momentOrder));
1677     PetscCall(PetscDualSpaceLagrangeGetTensor(sp, &tensor));
1678     if (!tensor) PetscCall(PetscDTStroudConicalQuadrature(dim, Nc, PetscMax(momentOrder + 1, 1), -1.0, 1.0, &(sp->functional[0])));
1679     else PetscCall(PetscDTGaussTensorQuadrature(dim, Nc, PetscMax(momentOrder + 1, 1), -1.0, 1.0, &(sp->functional[0])));
1680     /* Need to replace allNodes and allMat */
1681     PetscCall(PetscObjectReference((PetscObject)sp->functional[0]));
1682     PetscCall(PetscQuadratureDestroy(&(sp->allNodes)));
1683     sp->allNodes = sp->functional[0];
1684     PetscCall(PetscQuadratureGetData(sp->allNodes, NULL, NULL, &nNodes, NULL, &weights));
1685     PetscCall(MatCreateSeqDense(PETSC_COMM_SELF, nDofs, nNodes * Nc, NULL, &allMat));
1686     PetscCall(MatDenseGetArrayWrite(allMat, &array));
1687     for (i = 0; i < nNodes * Nc; ++i) array[i] = weights[i];
1688     PetscCall(MatDenseRestoreArrayWrite(allMat, &array));
1689     PetscCall(MatAssemblyBegin(allMat, MAT_FINAL_ASSEMBLY));
1690     PetscCall(MatAssemblyEnd(allMat, MAT_FINAL_ASSEMBLY));
1691     PetscCall(MatDestroy(&(sp->allMat)));
1692     sp->allMat = allMat;
1693     PetscFunctionReturn(PETSC_SUCCESS);
1694   }
1695   for (f = 0; f < nDofs; f++) {
1696     PetscInt           ncols, c;
1697     const PetscInt    *cols;
1698     const PetscScalar *vals;
1699     PetscReal         *nodesf;
1700     PetscReal         *weightsf;
1701     PetscInt           nNodesf;
1702     PetscInt           countNodes;
1703 
1704     PetscCall(MatGetRow(allMat, f, &ncols, &cols, &vals));
1705     PetscCheck(ncols % Nk == 0, PETSC_COMM_SELF, PETSC_ERR_PLIB, "all matrix is not laid out as blocks of k-forms");
1706     for (c = 1, nNodesf = 1; c < ncols; c++) {
1707       if ((cols[c] / Nc) != (cols[c - 1] / Nc)) nNodesf++;
1708     }
1709     PetscCall(PetscMalloc1(dim * nNodesf, &nodesf));
1710     PetscCall(PetscMalloc1(Nc * nNodesf, &weightsf));
1711     for (c = 0, countNodes = 0; c < ncols; c++) {
1712       if (!c || ((cols[c] / Nc) != (cols[c - 1] / Nc))) {
1713         PetscInt d;
1714 
1715         for (d = 0; d < Nc; d++) weightsf[countNodes * Nc + d] = 0.;
1716         for (d = 0; d < dim; d++) nodesf[countNodes * dim + d] = nodes[(cols[c] / Nc) * dim + d];
1717         countNodes++;
1718       }
1719       weightsf[(countNodes - 1) * Nc + (cols[c] % Nc)] = PetscRealPart(vals[c]);
1720     }
1721     PetscCall(PetscQuadratureCreate(PETSC_COMM_SELF, &(sp->functional[f])));
1722     PetscCall(PetscQuadratureSetData(sp->functional[f], dim, Nc, nNodesf, nodesf, weightsf));
1723     PetscCall(MatRestoreRow(allMat, f, &ncols, &cols, &vals));
1724   }
1725   PetscFunctionReturn(PETSC_SUCCESS);
1726 }
1727 
1728 /* take a matrix meant for k-forms and expand it to one for Ncopies */
1729 static PetscErrorCode PetscDualSpaceLagrangeMatrixCreateCopies(Mat A, PetscInt Nk, PetscInt Ncopies, Mat *Abs)
1730 {
1731   PetscInt m, n, i, j, k;
1732   PetscInt maxnnz, *nnz, *iwork;
1733   Mat      Ac;
1734 
1735   PetscFunctionBegin;
1736   PetscCall(MatGetSize(A, &m, &n));
1737   PetscCheck(n % Nk == 0, PETSC_COMM_SELF, PETSC_ERR_PLIB, "Number of columns in A %" PetscInt_FMT " is not a multiple of Nk %" PetscInt_FMT, n, Nk);
1738   PetscCall(PetscMalloc1(m * Ncopies, &nnz));
1739   for (i = 0, maxnnz = 0; i < m; i++) {
1740     PetscInt innz;
1741     PetscCall(MatGetRow(A, i, &innz, NULL, NULL));
1742     PetscCheck(innz % Nk == 0, PETSC_COMM_SELF, PETSC_ERR_PLIB, "A row %" PetscInt_FMT " nnzs is not a multiple of Nk %" PetscInt_FMT, innz, Nk);
1743     for (j = 0; j < Ncopies; j++) nnz[i * Ncopies + j] = innz;
1744     maxnnz = PetscMax(maxnnz, innz);
1745   }
1746   PetscCall(MatCreateSeqAIJ(PETSC_COMM_SELF, m * Ncopies, n * Ncopies, 0, nnz, &Ac));
1747   PetscCall(MatSetOption(Ac, MAT_IGNORE_ZERO_ENTRIES, PETSC_FALSE));
1748   PetscCall(PetscFree(nnz));
1749   PetscCall(PetscMalloc1(maxnnz, &iwork));
1750   for (i = 0; i < m; i++) {
1751     PetscInt           innz;
1752     const PetscInt    *cols;
1753     const PetscScalar *vals;
1754 
1755     PetscCall(MatGetRow(A, i, &innz, &cols, &vals));
1756     for (j = 0; j < innz; j++) iwork[j] = (cols[j] / Nk) * (Nk * Ncopies) + (cols[j] % Nk);
1757     for (j = 0; j < Ncopies; j++) {
1758       PetscInt row = i * Ncopies + j;
1759 
1760       PetscCall(MatSetValues(Ac, 1, &row, innz, iwork, vals, INSERT_VALUES));
1761       for (k = 0; k < innz; k++) iwork[k] += Nk;
1762     }
1763     PetscCall(MatRestoreRow(A, i, &innz, &cols, &vals));
1764   }
1765   PetscCall(PetscFree(iwork));
1766   PetscCall(MatAssemblyBegin(Ac, MAT_FINAL_ASSEMBLY));
1767   PetscCall(MatAssemblyEnd(Ac, MAT_FINAL_ASSEMBLY));
1768   *Abs = Ac;
1769   PetscFunctionReturn(PETSC_SUCCESS);
1770 }
1771 
1772 /* check if a cell is a tensor product of the segment with a facet,
1773  * specifically checking if f and f2 can be the "endpoints" (like the triangles
1774  * at either end of a wedge) */
1775 static PetscErrorCode DMPlexPointIsTensor_Internal_Given(DM dm, PetscInt p, PetscInt f, PetscInt f2, PetscBool *isTensor)
1776 {
1777   PetscInt        coneSize, c;
1778   const PetscInt *cone;
1779   const PetscInt *fCone;
1780   const PetscInt *f2Cone;
1781   PetscInt        fs[2];
1782   PetscInt        meetSize, nmeet;
1783   const PetscInt *meet;
1784 
1785   PetscFunctionBegin;
1786   fs[0] = f;
1787   fs[1] = f2;
1788   PetscCall(DMPlexGetMeet(dm, 2, fs, &meetSize, &meet));
1789   nmeet = meetSize;
1790   PetscCall(DMPlexRestoreMeet(dm, 2, fs, &meetSize, &meet));
1791   /* two points that have a non-empty meet cannot be at opposite ends of a cell */
1792   if (nmeet) {
1793     *isTensor = PETSC_FALSE;
1794     PetscFunctionReturn(PETSC_SUCCESS);
1795   }
1796   PetscCall(DMPlexGetConeSize(dm, p, &coneSize));
1797   PetscCall(DMPlexGetCone(dm, p, &cone));
1798   PetscCall(DMPlexGetCone(dm, f, &fCone));
1799   PetscCall(DMPlexGetCone(dm, f2, &f2Cone));
1800   for (c = 0; c < coneSize; c++) {
1801     PetscInt        e, ef;
1802     PetscInt        d = -1, d2 = -1;
1803     PetscInt        dcount, d2count;
1804     PetscInt        t = cone[c];
1805     PetscInt        tConeSize;
1806     PetscBool       tIsTensor;
1807     const PetscInt *tCone;
1808 
1809     if (t == f || t == f2) continue;
1810     /* for every other facet in the cone, check that is has
1811      * one ridge in common with each end */
1812     PetscCall(DMPlexGetConeSize(dm, t, &tConeSize));
1813     PetscCall(DMPlexGetCone(dm, t, &tCone));
1814 
1815     dcount  = 0;
1816     d2count = 0;
1817     for (e = 0; e < tConeSize; e++) {
1818       PetscInt q = tCone[e];
1819       for (ef = 0; ef < coneSize - 2; ef++) {
1820         if (fCone[ef] == q) {
1821           if (dcount) {
1822             *isTensor = PETSC_FALSE;
1823             PetscFunctionReturn(PETSC_SUCCESS);
1824           }
1825           d = q;
1826           dcount++;
1827         } else if (f2Cone[ef] == q) {
1828           if (d2count) {
1829             *isTensor = PETSC_FALSE;
1830             PetscFunctionReturn(PETSC_SUCCESS);
1831           }
1832           d2 = q;
1833           d2count++;
1834         }
1835       }
1836     }
1837     /* if the whole cell is a tensor with the segment, then this
1838      * facet should be a tensor with the segment */
1839     PetscCall(DMPlexPointIsTensor_Internal_Given(dm, t, d, d2, &tIsTensor));
1840     if (!tIsTensor) {
1841       *isTensor = PETSC_FALSE;
1842       PetscFunctionReturn(PETSC_SUCCESS);
1843     }
1844   }
1845   *isTensor = PETSC_TRUE;
1846   PetscFunctionReturn(PETSC_SUCCESS);
1847 }
1848 
1849 /* determine if a cell is a tensor with a segment by looping over pairs of facets to find a pair
1850  * that could be the opposite ends */
1851 static PetscErrorCode DMPlexPointIsTensor_Internal(DM dm, PetscInt p, PetscBool *isTensor, PetscInt *endA, PetscInt *endB)
1852 {
1853   PetscInt        coneSize, c, c2;
1854   const PetscInt *cone;
1855 
1856   PetscFunctionBegin;
1857   PetscCall(DMPlexGetConeSize(dm, p, &coneSize));
1858   if (!coneSize) {
1859     if (isTensor) *isTensor = PETSC_FALSE;
1860     if (endA) *endA = -1;
1861     if (endB) *endB = -1;
1862   }
1863   PetscCall(DMPlexGetCone(dm, p, &cone));
1864   for (c = 0; c < coneSize; c++) {
1865     PetscInt f = cone[c];
1866     PetscInt fConeSize;
1867 
1868     PetscCall(DMPlexGetConeSize(dm, f, &fConeSize));
1869     if (fConeSize != coneSize - 2) continue;
1870 
1871     for (c2 = c + 1; c2 < coneSize; c2++) {
1872       PetscInt  f2 = cone[c2];
1873       PetscBool isTensorff2;
1874       PetscInt  f2ConeSize;
1875 
1876       PetscCall(DMPlexGetConeSize(dm, f2, &f2ConeSize));
1877       if (f2ConeSize != coneSize - 2) continue;
1878 
1879       PetscCall(DMPlexPointIsTensor_Internal_Given(dm, p, f, f2, &isTensorff2));
1880       if (isTensorff2) {
1881         if (isTensor) *isTensor = PETSC_TRUE;
1882         if (endA) *endA = f;
1883         if (endB) *endB = f2;
1884         PetscFunctionReturn(PETSC_SUCCESS);
1885       }
1886     }
1887   }
1888   if (isTensor) *isTensor = PETSC_FALSE;
1889   if (endA) *endA = -1;
1890   if (endB) *endB = -1;
1891   PetscFunctionReturn(PETSC_SUCCESS);
1892 }
1893 
1894 /* determine if a cell is a tensor with a segment by looping over pairs of facets to find a pair
1895  * that could be the opposite ends */
1896 static PetscErrorCode DMPlexPointIsTensor(DM dm, PetscInt p, PetscBool *isTensor, PetscInt *endA, PetscInt *endB)
1897 {
1898   DMPlexInterpolatedFlag interpolated;
1899 
1900   PetscFunctionBegin;
1901   PetscCall(DMPlexIsInterpolated(dm, &interpolated));
1902   PetscCheck(interpolated == DMPLEX_INTERPOLATED_FULL, PetscObjectComm((PetscObject)dm), PETSC_ERR_ARG_WRONGSTATE, "Only for interpolated DMPlex's");
1903   PetscCall(DMPlexPointIsTensor_Internal(dm, p, isTensor, endA, endB));
1904   PetscFunctionReturn(PETSC_SUCCESS);
1905 }
1906 
1907 /* Let k = formDegree and k' = -sign(k) * dim + k.  Transform a symmetric frame for k-forms on the biunit simplex into
1908  * a symmetric frame for k'-forms on the biunit simplex.
1909  *
1910  * A frame is "symmetric" if the pullback of every symmetry of the biunit simplex is a permutation of the frame.
1911  *
1912  * forms in the symmetric frame are used as dofs in the untrimmed simplex spaces.  This way, symmetries of the
1913  * reference cell result in permutations of dofs grouped by node.
1914  *
1915  * Use T to transform dof matrices for k'-forms into dof matrices for k-forms as a block diagonal transformation on
1916  * the right.
1917  */
1918 static PetscErrorCode BiunitSimplexSymmetricFormTransformation(PetscInt dim, PetscInt formDegree, PetscReal T[])
1919 {
1920   PetscInt   k  = formDegree;
1921   PetscInt   kd = k < 0 ? dim + k : k - dim;
1922   PetscInt   Nk;
1923   PetscReal *biToEq, *eqToBi, *biToEqStar, *eqToBiStar;
1924   PetscInt   fact;
1925 
1926   PetscFunctionBegin;
1927   PetscCall(PetscDTBinomialInt(dim, PetscAbsInt(k), &Nk));
1928   PetscCall(PetscCalloc4(dim * dim, &biToEq, dim * dim, &eqToBi, Nk * Nk, &biToEqStar, Nk * Nk, &eqToBiStar));
1929   /* fill in biToEq: Jacobian of the transformation from the biunit simplex to the equilateral simplex */
1930   fact = 0;
1931   for (PetscInt i = 0; i < dim; i++) {
1932     biToEq[i * dim + i] = PetscSqrtReal(((PetscReal)i + 2.) / (2. * ((PetscReal)i + 1.)));
1933     fact += 4 * (i + 1);
1934     for (PetscInt j = i + 1; j < dim; j++) biToEq[i * dim + j] = PetscSqrtReal(1. / (PetscReal)fact);
1935   }
1936   /* fill in eqToBi: Jacobian of the transformation from the equilateral simplex to the biunit simplex */
1937   fact = 0;
1938   for (PetscInt j = 0; j < dim; j++) {
1939     eqToBi[j * dim + j] = PetscSqrtReal(2. * ((PetscReal)j + 1.) / ((PetscReal)j + 2));
1940     fact += j + 1;
1941     for (PetscInt i = 0; i < j; i++) eqToBi[i * dim + j] = -PetscSqrtReal(1. / (PetscReal)fact);
1942   }
1943   PetscCall(PetscDTAltVPullbackMatrix(dim, dim, biToEq, kd, biToEqStar));
1944   PetscCall(PetscDTAltVPullbackMatrix(dim, dim, eqToBi, k, eqToBiStar));
1945   /* product of pullbacks simulates the following steps
1946    *
1947    * 1. start with frame W = [w_1, w_2, ..., w_m] of k forms that is symmetric on the biunit simplex:
1948           if J is the Jacobian of a symmetry of the biunit simplex, then J_k* W = [J_k*w_1, ..., J_k*w_m]
1949           is a permutation of W.
1950           Even though a k' form --- a (dim - k) form represented by its Hodge star --- has the same geometric
1951           content as a k form, W is not a symmetric frame of k' forms on the biunit simplex.  That's because,
1952           for general Jacobian J, J_k* != J_k'*.
1953    * 2. pullback W to the equilateral triangle using the k pullback, W_eq = eqToBi_k* W.  All symmetries of the
1954           equilateral simplex have orthonormal Jacobians.  For an orthonormal Jacobian O, J_k* = J_k'*, so W_eq is
1955           also a symmetric frame for k' forms on the equilateral simplex.
1956      3. pullback W_eq back to the biunit simplex using the k' pulback, V = biToEq_k'* W_eq = biToEq_k'* eqToBi_k* W.
1957           V is a symmetric frame for k' forms on the biunit simplex.
1958    */
1959   for (PetscInt i = 0; i < Nk; i++) {
1960     for (PetscInt j = 0; j < Nk; j++) {
1961       PetscReal val = 0.;
1962       for (PetscInt k = 0; k < Nk; k++) val += biToEqStar[i * Nk + k] * eqToBiStar[k * Nk + j];
1963       T[i * Nk + j] = val;
1964     }
1965   }
1966   PetscCall(PetscFree4(biToEq, eqToBi, biToEqStar, eqToBiStar));
1967   PetscFunctionReturn(PETSC_SUCCESS);
1968 }
1969 
1970 /* permute a quadrature -> dof matrix so that its rows are in revlex order by nodeIdx */
1971 static PetscErrorCode MatPermuteByNodeIdx(Mat A, PetscLagNodeIndices ni, Mat *Aperm)
1972 {
1973   PetscInt   m, n, i, j;
1974   PetscInt   nodeIdxDim = ni->nodeIdxDim;
1975   PetscInt   nodeVecDim = ni->nodeVecDim;
1976   PetscInt  *perm;
1977   IS         permIS;
1978   IS         id;
1979   PetscInt  *nIdxPerm;
1980   PetscReal *nVecPerm;
1981 
1982   PetscFunctionBegin;
1983   PetscCall(PetscLagNodeIndicesGetPermutation(ni, &perm));
1984   PetscCall(MatGetSize(A, &m, &n));
1985   PetscCall(PetscMalloc1(nodeIdxDim * m, &nIdxPerm));
1986   PetscCall(PetscMalloc1(nodeVecDim * m, &nVecPerm));
1987   for (i = 0; i < m; i++)
1988     for (j = 0; j < nodeIdxDim; j++) nIdxPerm[i * nodeIdxDim + j] = ni->nodeIdx[perm[i] * nodeIdxDim + j];
1989   for (i = 0; i < m; i++)
1990     for (j = 0; j < nodeVecDim; j++) nVecPerm[i * nodeVecDim + j] = ni->nodeVec[perm[i] * nodeVecDim + j];
1991   PetscCall(ISCreateGeneral(PETSC_COMM_SELF, m, perm, PETSC_USE_POINTER, &permIS));
1992   PetscCall(ISSetPermutation(permIS));
1993   PetscCall(ISCreateStride(PETSC_COMM_SELF, n, 0, 1, &id));
1994   PetscCall(ISSetPermutation(id));
1995   PetscCall(MatPermute(A, permIS, id, Aperm));
1996   PetscCall(ISDestroy(&permIS));
1997   PetscCall(ISDestroy(&id));
1998   for (i = 0; i < m; i++) perm[i] = i;
1999   PetscCall(PetscFree(ni->nodeIdx));
2000   PetscCall(PetscFree(ni->nodeVec));
2001   ni->nodeIdx = nIdxPerm;
2002   ni->nodeVec = nVecPerm;
2003   PetscFunctionReturn(PETSC_SUCCESS);
2004 }
2005 
2006 static PetscErrorCode PetscDualSpaceSetUp_Lagrange(PetscDualSpace sp)
2007 {
2008   PetscDualSpace_Lag    *lag   = (PetscDualSpace_Lag *)sp->data;
2009   DM                     dm    = sp->dm;
2010   DM                     dmint = NULL;
2011   PetscInt               order;
2012   PetscInt               Nc = sp->Nc;
2013   MPI_Comm               comm;
2014   PetscBool              continuous;
2015   PetscSection           section;
2016   PetscInt               depth, dim, pStart, pEnd, cStart, cEnd, p, *pStratStart, *pStratEnd, d;
2017   PetscInt               formDegree, Nk, Ncopies;
2018   PetscInt               tensorf = -1, tensorf2 = -1;
2019   PetscBool              tensorCell, tensorSpace;
2020   PetscBool              uniform, trimmed;
2021   Petsc1DNodeFamily      nodeFamily;
2022   PetscInt               numNodeSkip;
2023   DMPlexInterpolatedFlag interpolated;
2024   PetscBool              isbdm;
2025 
2026   PetscFunctionBegin;
2027   /* step 1: sanitize input */
2028   PetscCall(PetscObjectGetComm((PetscObject)sp, &comm));
2029   PetscCall(DMGetDimension(dm, &dim));
2030   PetscCall(PetscObjectTypeCompare((PetscObject)sp, PETSCDUALSPACEBDM, &isbdm));
2031   if (isbdm) {
2032     sp->k = -(dim - 1); /* form degree of H-div */
2033     PetscCall(PetscObjectChangeTypeName((PetscObject)sp, PETSCDUALSPACELAGRANGE));
2034   }
2035   PetscCall(PetscDualSpaceGetFormDegree(sp, &formDegree));
2036   PetscCheck(PetscAbsInt(formDegree) <= dim, comm, PETSC_ERR_ARG_OUTOFRANGE, "Form degree must be bounded by dimension");
2037   PetscCall(PetscDTBinomialInt(dim, PetscAbsInt(formDegree), &Nk));
2038   if (sp->Nc <= 0 && lag->numCopies > 0) sp->Nc = Nk * lag->numCopies;
2039   Nc = sp->Nc;
2040   PetscCheck(Nc % Nk == 0, comm, PETSC_ERR_ARG_INCOMP, "Number of components is not a multiple of form degree size");
2041   if (lag->numCopies <= 0) lag->numCopies = Nc / Nk;
2042   Ncopies = lag->numCopies;
2043   PetscCheck(Nc / Nk == Ncopies, comm, PETSC_ERR_ARG_INCOMP, "Number of copies * (dim choose k) != Nc");
2044   if (!dim) sp->order = 0;
2045   order   = sp->order;
2046   uniform = sp->uniform;
2047   PetscCheck(uniform, PETSC_COMM_SELF, PETSC_ERR_SUP, "Variable order not supported yet");
2048   if (lag->trimmed && !formDegree) lag->trimmed = PETSC_FALSE; /* trimmed spaces are the same as full spaces for 0-forms */
2049   if (lag->nodeType == PETSCDTNODES_DEFAULT) {
2050     lag->nodeType     = PETSCDTNODES_GAUSSJACOBI;
2051     lag->nodeExponent = 0.;
2052     /* trimmed spaces don't include corner vertices, so don't use end nodes by default */
2053     lag->endNodes = lag->trimmed ? PETSC_FALSE : PETSC_TRUE;
2054   }
2055   /* If a trimmed space and the user did choose nodes with endpoints, skip them by default */
2056   if (lag->numNodeSkip < 0) lag->numNodeSkip = (lag->trimmed && lag->endNodes) ? 1 : 0;
2057   numNodeSkip = lag->numNodeSkip;
2058   PetscCheck(!lag->trimmed || order, PETSC_COMM_SELF, PETSC_ERR_ARG_OUTOFRANGE, "Cannot have zeroth order trimmed elements");
2059   if (lag->trimmed && PetscAbsInt(formDegree) == dim) { /* convert trimmed n-forms to untrimmed of one polynomial order less */
2060     sp->order--;
2061     order--;
2062     lag->trimmed = PETSC_FALSE;
2063   }
2064   trimmed = lag->trimmed;
2065   if (!order || PetscAbsInt(formDegree) == dim) lag->continuous = PETSC_FALSE;
2066   continuous = lag->continuous;
2067   PetscCall(DMPlexGetDepth(dm, &depth));
2068   PetscCall(DMPlexGetChart(dm, &pStart, &pEnd));
2069   PetscCall(DMPlexGetHeightStratum(dm, 0, &cStart, &cEnd));
2070   PetscCheck(pStart == 0 && cStart == 0, PetscObjectComm((PetscObject)sp), PETSC_ERR_ARG_WRONGSTATE, "Expect DM with chart starting at zero and cells first");
2071   PetscCheck(cEnd == 1, PetscObjectComm((PetscObject)sp), PETSC_ERR_ARG_WRONGSTATE, "Use PETSCDUALSPACEREFINED for multi-cell reference meshes");
2072   PetscCall(DMPlexIsInterpolated(dm, &interpolated));
2073   if (interpolated != DMPLEX_INTERPOLATED_FULL) {
2074     PetscCall(DMPlexInterpolate(dm, &dmint));
2075   } else {
2076     PetscCall(PetscObjectReference((PetscObject)dm));
2077     dmint = dm;
2078   }
2079   tensorCell = PETSC_FALSE;
2080   if (dim > 1) PetscCall(DMPlexPointIsTensor(dmint, 0, &tensorCell, &tensorf, &tensorf2));
2081   lag->tensorCell = tensorCell;
2082   if (dim < 2 || !lag->tensorCell) lag->tensorSpace = PETSC_FALSE;
2083   tensorSpace = lag->tensorSpace;
2084   if (!lag->nodeFamily) PetscCall(Petsc1DNodeFamilyCreate(lag->nodeType, lag->nodeExponent, lag->endNodes, &lag->nodeFamily));
2085   nodeFamily = lag->nodeFamily;
2086   PetscCheck(interpolated == DMPLEX_INTERPOLATED_FULL || !continuous || (PetscAbsInt(formDegree) <= 0 && order <= 1), PETSC_COMM_SELF, PETSC_ERR_PLIB, "Reference element won't support all boundary nodes");
2087 
2088   /* step 2: construct the boundary spaces */
2089   PetscCall(PetscMalloc2(depth + 1, &pStratStart, depth + 1, &pStratEnd));
2090   PetscCall(PetscCalloc1(pEnd, &(sp->pointSpaces)));
2091   for (d = 0; d <= depth; ++d) PetscCall(DMPlexGetDepthStratum(dm, d, &pStratStart[d], &pStratEnd[d]));
2092   PetscCall(PetscDualSpaceSectionCreate_Internal(sp, &section));
2093   sp->pointSection = section;
2094   if (continuous && !(lag->interiorOnly)) {
2095     PetscInt h;
2096 
2097     for (p = pStratStart[depth - 1]; p < pStratEnd[depth - 1]; p++) { /* calculate the facet dual spaces */
2098       PetscReal      v0[3];
2099       DMPolytopeType ptype;
2100       PetscReal      J[9], detJ;
2101       PetscInt       q;
2102 
2103       PetscCall(DMPlexComputeCellGeometryAffineFEM(dm, p, v0, J, NULL, &detJ));
2104       PetscCall(DMPlexGetCellType(dm, p, &ptype));
2105 
2106       /* compare to previous facets: if computed, reference that dualspace */
2107       for (q = pStratStart[depth - 1]; q < p; q++) {
2108         DMPolytopeType qtype;
2109 
2110         PetscCall(DMPlexGetCellType(dm, q, &qtype));
2111         if (qtype == ptype) break;
2112       }
2113       if (q < p) { /* this facet has the same dual space as that one */
2114         PetscCall(PetscObjectReference((PetscObject)sp->pointSpaces[q]));
2115         sp->pointSpaces[p] = sp->pointSpaces[q];
2116         continue;
2117       }
2118       /* if not, recursively compute this dual space */
2119       PetscCall(PetscDualSpaceCreateFacetSubspace_Lagrange(sp, NULL, p, formDegree, Ncopies, PETSC_FALSE, &sp->pointSpaces[p]));
2120     }
2121     for (h = 2; h <= depth; h++) { /* get the higher subspaces from the facet subspaces */
2122       PetscInt hd   = depth - h;
2123       PetscInt hdim = dim - h;
2124 
2125       if (hdim < PetscAbsInt(formDegree)) break;
2126       for (p = pStratStart[hd]; p < pStratEnd[hd]; p++) {
2127         PetscInt        suppSize, s;
2128         const PetscInt *supp;
2129 
2130         PetscCall(DMPlexGetSupportSize(dm, p, &suppSize));
2131         PetscCall(DMPlexGetSupport(dm, p, &supp));
2132         for (s = 0; s < suppSize; s++) {
2133           DM              qdm;
2134           PetscDualSpace  qsp, psp;
2135           PetscInt        c, coneSize, q;
2136           const PetscInt *cone;
2137           const PetscInt *refCone;
2138 
2139           q   = supp[0];
2140           qsp = sp->pointSpaces[q];
2141           PetscCall(DMPlexGetConeSize(dm, q, &coneSize));
2142           PetscCall(DMPlexGetCone(dm, q, &cone));
2143           for (c = 0; c < coneSize; c++)
2144             if (cone[c] == p) break;
2145           PetscCheck(c != coneSize, PetscObjectComm((PetscObject)dm), PETSC_ERR_PLIB, "cone/support mismatch");
2146           PetscCall(PetscDualSpaceGetDM(qsp, &qdm));
2147           PetscCall(DMPlexGetCone(qdm, 0, &refCone));
2148           /* get the equivalent dual space from the support dual space */
2149           PetscCall(PetscDualSpaceGetPointSubspace(qsp, refCone[c], &psp));
2150           if (!s) {
2151             PetscCall(PetscObjectReference((PetscObject)psp));
2152             sp->pointSpaces[p] = psp;
2153           }
2154         }
2155       }
2156     }
2157     for (p = 1; p < pEnd; p++) {
2158       PetscInt pspdim;
2159       if (!sp->pointSpaces[p]) continue;
2160       PetscCall(PetscDualSpaceGetInteriorDimension(sp->pointSpaces[p], &pspdim));
2161       PetscCall(PetscSectionSetDof(section, p, pspdim));
2162     }
2163   }
2164 
2165   if (Ncopies > 1) {
2166     Mat                 intMatScalar, allMatScalar;
2167     PetscDualSpace      scalarsp;
2168     PetscDualSpace_Lag *scalarlag;
2169 
2170     PetscCall(PetscDualSpaceDuplicate(sp, &scalarsp));
2171     /* Setting the number of components to Nk is a space with 1 copy of each k-form */
2172     PetscCall(PetscDualSpaceSetNumComponents(scalarsp, Nk));
2173     PetscCall(PetscDualSpaceSetUp(scalarsp));
2174     PetscCall(PetscDualSpaceGetInteriorData(scalarsp, &(sp->intNodes), &intMatScalar));
2175     PetscCall(PetscObjectReference((PetscObject)(sp->intNodes)));
2176     if (intMatScalar) PetscCall(PetscDualSpaceLagrangeMatrixCreateCopies(intMatScalar, Nk, Ncopies, &(sp->intMat)));
2177     PetscCall(PetscDualSpaceGetAllData(scalarsp, &(sp->allNodes), &allMatScalar));
2178     PetscCall(PetscObjectReference((PetscObject)(sp->allNodes)));
2179     PetscCall(PetscDualSpaceLagrangeMatrixCreateCopies(allMatScalar, Nk, Ncopies, &(sp->allMat)));
2180     sp->spdim    = scalarsp->spdim * Ncopies;
2181     sp->spintdim = scalarsp->spintdim * Ncopies;
2182     scalarlag    = (PetscDualSpace_Lag *)scalarsp->data;
2183     PetscCall(PetscLagNodeIndicesReference(scalarlag->vertIndices));
2184     lag->vertIndices = scalarlag->vertIndices;
2185     PetscCall(PetscLagNodeIndicesReference(scalarlag->intNodeIndices));
2186     lag->intNodeIndices = scalarlag->intNodeIndices;
2187     PetscCall(PetscLagNodeIndicesReference(scalarlag->allNodeIndices));
2188     lag->allNodeIndices = scalarlag->allNodeIndices;
2189     PetscCall(PetscDualSpaceDestroy(&scalarsp));
2190     PetscCall(PetscSectionSetDof(section, 0, sp->spintdim));
2191     PetscCall(PetscDualSpaceSectionSetUp_Internal(sp, section));
2192     PetscCall(PetscDualSpaceComputeFunctionalsFromAllData(sp));
2193     PetscCall(PetscFree2(pStratStart, pStratEnd));
2194     PetscCall(DMDestroy(&dmint));
2195     PetscFunctionReturn(PETSC_SUCCESS);
2196   }
2197 
2198   if (trimmed && !continuous) {
2199     /* the dofs of a trimmed space don't have a nice tensor/lattice structure:
2200      * just construct the continuous dual space and copy all of the data over,
2201      * allocating it all to the cell instead of splitting it up between the boundaries */
2202     PetscDualSpace      spcont;
2203     PetscInt            spdim, f;
2204     PetscQuadrature     allNodes;
2205     PetscDualSpace_Lag *lagc;
2206     Mat                 allMat;
2207 
2208     PetscCall(PetscDualSpaceDuplicate(sp, &spcont));
2209     PetscCall(PetscDualSpaceLagrangeSetContinuity(spcont, PETSC_TRUE));
2210     PetscCall(PetscDualSpaceSetUp(spcont));
2211     PetscCall(PetscDualSpaceGetDimension(spcont, &spdim));
2212     sp->spdim = sp->spintdim = spdim;
2213     PetscCall(PetscSectionSetDof(section, 0, spdim));
2214     PetscCall(PetscDualSpaceSectionSetUp_Internal(sp, section));
2215     PetscCall(PetscMalloc1(spdim, &(sp->functional)));
2216     for (f = 0; f < spdim; f++) {
2217       PetscQuadrature fn;
2218 
2219       PetscCall(PetscDualSpaceGetFunctional(spcont, f, &fn));
2220       PetscCall(PetscObjectReference((PetscObject)fn));
2221       sp->functional[f] = fn;
2222     }
2223     PetscCall(PetscDualSpaceGetAllData(spcont, &allNodes, &allMat));
2224     PetscCall(PetscObjectReference((PetscObject)allNodes));
2225     PetscCall(PetscObjectReference((PetscObject)allNodes));
2226     sp->allNodes = sp->intNodes = allNodes;
2227     PetscCall(PetscObjectReference((PetscObject)allMat));
2228     PetscCall(PetscObjectReference((PetscObject)allMat));
2229     sp->allMat = sp->intMat = allMat;
2230     lagc                    = (PetscDualSpace_Lag *)spcont->data;
2231     PetscCall(PetscLagNodeIndicesReference(lagc->vertIndices));
2232     lag->vertIndices = lagc->vertIndices;
2233     PetscCall(PetscLagNodeIndicesReference(lagc->allNodeIndices));
2234     PetscCall(PetscLagNodeIndicesReference(lagc->allNodeIndices));
2235     lag->intNodeIndices = lagc->allNodeIndices;
2236     lag->allNodeIndices = lagc->allNodeIndices;
2237     PetscCall(PetscDualSpaceDestroy(&spcont));
2238     PetscCall(PetscFree2(pStratStart, pStratEnd));
2239     PetscCall(DMDestroy(&dmint));
2240     PetscFunctionReturn(PETSC_SUCCESS);
2241   }
2242 
2243   /* step 3: construct intNodes, and intMat, and combine it with boundray data to make allNodes and allMat */
2244   if (!tensorSpace) {
2245     if (!tensorCell) PetscCall(PetscLagNodeIndicesCreateSimplexVertices(dm, &(lag->vertIndices)));
2246 
2247     if (trimmed) {
2248       /* there is one dof in the interior of the a trimmed element for each full polynomial of with degree at most
2249        * order + k - dim - 1 */
2250       if (order + PetscAbsInt(formDegree) > dim) {
2251         PetscInt sum = order + PetscAbsInt(formDegree) - dim - 1;
2252         PetscInt nDofs;
2253 
2254         PetscCall(PetscDualSpaceLagrangeCreateSimplexNodeMat(nodeFamily, dim, sum, Nk, numNodeSkip, &sp->intNodes, &sp->intMat, &(lag->intNodeIndices)));
2255         PetscCall(MatGetSize(sp->intMat, &nDofs, NULL));
2256         PetscCall(PetscSectionSetDof(section, 0, nDofs));
2257       }
2258       PetscCall(PetscDualSpaceSectionSetUp_Internal(sp, section));
2259       PetscCall(PetscDualSpaceCreateAllDataFromInteriorData(sp));
2260       PetscCall(PetscDualSpaceLagrangeCreateAllNodeIdx(sp));
2261     } else {
2262       if (!continuous) {
2263         /* if discontinuous just construct one node for each set of dofs (a set of dofs is a basis for the k-form
2264          * space) */
2265         PetscInt sum = order;
2266         PetscInt nDofs;
2267 
2268         PetscCall(PetscDualSpaceLagrangeCreateSimplexNodeMat(nodeFamily, dim, sum, Nk, numNodeSkip, &sp->intNodes, &sp->intMat, &(lag->intNodeIndices)));
2269         PetscCall(MatGetSize(sp->intMat, &nDofs, NULL));
2270         PetscCall(PetscSectionSetDof(section, 0, nDofs));
2271         PetscCall(PetscDualSpaceSectionSetUp_Internal(sp, section));
2272         PetscCall(PetscObjectReference((PetscObject)(sp->intNodes)));
2273         sp->allNodes = sp->intNodes;
2274         PetscCall(PetscObjectReference((PetscObject)(sp->intMat)));
2275         sp->allMat = sp->intMat;
2276         PetscCall(PetscLagNodeIndicesReference(lag->intNodeIndices));
2277         lag->allNodeIndices = lag->intNodeIndices;
2278       } else {
2279         /* there is one dof in the interior of the a full element for each trimmed polynomial of with degree at most
2280          * order + k - dim, but with complementary form degree */
2281         if (order + PetscAbsInt(formDegree) > dim) {
2282           PetscDualSpace      trimmedsp;
2283           PetscDualSpace_Lag *trimmedlag;
2284           PetscQuadrature     intNodes;
2285           PetscInt            trFormDegree = formDegree >= 0 ? formDegree - dim : dim - PetscAbsInt(formDegree);
2286           PetscInt            nDofs;
2287           Mat                 intMat;
2288 
2289           PetscCall(PetscDualSpaceDuplicate(sp, &trimmedsp));
2290           PetscCall(PetscDualSpaceLagrangeSetTrimmed(trimmedsp, PETSC_TRUE));
2291           PetscCall(PetscDualSpaceSetOrder(trimmedsp, order + PetscAbsInt(formDegree) - dim));
2292           PetscCall(PetscDualSpaceSetFormDegree(trimmedsp, trFormDegree));
2293           trimmedlag              = (PetscDualSpace_Lag *)trimmedsp->data;
2294           trimmedlag->numNodeSkip = numNodeSkip + 1;
2295           PetscCall(PetscDualSpaceSetUp(trimmedsp));
2296           PetscCall(PetscDualSpaceGetAllData(trimmedsp, &intNodes, &intMat));
2297           PetscCall(PetscObjectReference((PetscObject)intNodes));
2298           sp->intNodes = intNodes;
2299           PetscCall(PetscLagNodeIndicesReference(trimmedlag->allNodeIndices));
2300           lag->intNodeIndices = trimmedlag->allNodeIndices;
2301           PetscCall(PetscObjectReference((PetscObject)intMat));
2302           if (PetscAbsInt(formDegree) > 0 && PetscAbsInt(formDegree) < dim) {
2303             PetscReal   *T;
2304             PetscScalar *work;
2305             PetscInt     nCols, nRows;
2306             Mat          intMatT;
2307 
2308             PetscCall(MatDuplicate(intMat, MAT_COPY_VALUES, &intMatT));
2309             PetscCall(MatGetSize(intMat, &nRows, &nCols));
2310             PetscCall(PetscMalloc2(Nk * Nk, &T, nCols, &work));
2311             PetscCall(BiunitSimplexSymmetricFormTransformation(dim, formDegree, T));
2312             for (PetscInt row = 0; row < nRows; row++) {
2313               PetscInt           nrCols;
2314               const PetscInt    *rCols;
2315               const PetscScalar *rVals;
2316 
2317               PetscCall(MatGetRow(intMat, row, &nrCols, &rCols, &rVals));
2318               PetscCheck(nrCols % Nk == 0, PETSC_COMM_SELF, PETSC_ERR_PLIB, "nonzeros in intMat matrix are not in k-form size blocks");
2319               for (PetscInt b = 0; b < nrCols; b += Nk) {
2320                 const PetscScalar *v = &rVals[b];
2321                 PetscScalar       *w = &work[b];
2322                 for (PetscInt j = 0; j < Nk; j++) {
2323                   w[j] = 0.;
2324                   for (PetscInt i = 0; i < Nk; i++) w[j] += v[i] * T[i * Nk + j];
2325                 }
2326               }
2327               PetscCall(MatSetValuesBlocked(intMatT, 1, &row, nrCols, rCols, work, INSERT_VALUES));
2328               PetscCall(MatRestoreRow(intMat, row, &nrCols, &rCols, &rVals));
2329             }
2330             PetscCall(MatAssemblyBegin(intMatT, MAT_FINAL_ASSEMBLY));
2331             PetscCall(MatAssemblyEnd(intMatT, MAT_FINAL_ASSEMBLY));
2332             PetscCall(MatDestroy(&intMat));
2333             intMat = intMatT;
2334             PetscCall(PetscLagNodeIndicesDestroy(&(lag->intNodeIndices)));
2335             PetscCall(PetscLagNodeIndicesDuplicate(trimmedlag->allNodeIndices, &(lag->intNodeIndices)));
2336             {
2337               PetscInt         nNodes     = lag->intNodeIndices->nNodes;
2338               PetscReal       *newNodeVec = lag->intNodeIndices->nodeVec;
2339               const PetscReal *oldNodeVec = trimmedlag->allNodeIndices->nodeVec;
2340 
2341               for (PetscInt n = 0; n < nNodes; n++) {
2342                 PetscReal       *w = &newNodeVec[n * Nk];
2343                 const PetscReal *v = &oldNodeVec[n * Nk];
2344 
2345                 for (PetscInt j = 0; j < Nk; j++) {
2346                   w[j] = 0.;
2347                   for (PetscInt i = 0; i < Nk; i++) w[j] += v[i] * T[i * Nk + j];
2348                 }
2349               }
2350             }
2351             PetscCall(PetscFree2(T, work));
2352           }
2353           sp->intMat = intMat;
2354           PetscCall(MatGetSize(sp->intMat, &nDofs, NULL));
2355           PetscCall(PetscDualSpaceDestroy(&trimmedsp));
2356           PetscCall(PetscSectionSetDof(section, 0, nDofs));
2357         }
2358         PetscCall(PetscDualSpaceSectionSetUp_Internal(sp, section));
2359         PetscCall(PetscDualSpaceCreateAllDataFromInteriorData(sp));
2360         PetscCall(PetscDualSpaceLagrangeCreateAllNodeIdx(sp));
2361       }
2362     }
2363   } else {
2364     PetscQuadrature     intNodesTrace  = NULL;
2365     PetscQuadrature     intNodesFiber  = NULL;
2366     PetscQuadrature     intNodes       = NULL;
2367     PetscLagNodeIndices intNodeIndices = NULL;
2368     Mat                 intMat         = NULL;
2369 
2370     if (PetscAbsInt(formDegree) < dim) { /* get the trace k-forms on the first facet, and the 0-forms on the edge,
2371                                             and wedge them together to create some of the k-form dofs */
2372       PetscDualSpace      trace, fiber;
2373       PetscDualSpace_Lag *tracel, *fiberl;
2374       Mat                 intMatTrace, intMatFiber;
2375 
2376       if (sp->pointSpaces[tensorf]) {
2377         PetscCall(PetscObjectReference((PetscObject)(sp->pointSpaces[tensorf])));
2378         trace = sp->pointSpaces[tensorf];
2379       } else {
2380         PetscCall(PetscDualSpaceCreateFacetSubspace_Lagrange(sp, NULL, tensorf, formDegree, Ncopies, PETSC_TRUE, &trace));
2381       }
2382       PetscCall(PetscDualSpaceCreateEdgeSubspace_Lagrange(sp, order, 0, 1, PETSC_TRUE, &fiber));
2383       tracel = (PetscDualSpace_Lag *)trace->data;
2384       fiberl = (PetscDualSpace_Lag *)fiber->data;
2385       PetscCall(PetscLagNodeIndicesCreateTensorVertices(dm, tracel->vertIndices, &(lag->vertIndices)));
2386       PetscCall(PetscDualSpaceGetInteriorData(trace, &intNodesTrace, &intMatTrace));
2387       PetscCall(PetscDualSpaceGetInteriorData(fiber, &intNodesFiber, &intMatFiber));
2388       if (intNodesTrace && intNodesFiber) {
2389         PetscCall(PetscQuadratureCreateTensor(intNodesTrace, intNodesFiber, &intNodes));
2390         PetscCall(MatTensorAltV(intMatTrace, intMatFiber, dim - 1, formDegree, 1, 0, &intMat));
2391         PetscCall(PetscLagNodeIndicesTensor(tracel->intNodeIndices, dim - 1, formDegree, fiberl->intNodeIndices, 1, 0, &intNodeIndices));
2392       }
2393       PetscCall(PetscObjectReference((PetscObject)intNodesTrace));
2394       PetscCall(PetscObjectReference((PetscObject)intNodesFiber));
2395       PetscCall(PetscDualSpaceDestroy(&fiber));
2396       PetscCall(PetscDualSpaceDestroy(&trace));
2397     }
2398     if (PetscAbsInt(formDegree) > 0) { /* get the trace (k-1)-forms on the first facet, and the 1-forms on the edge,
2399                                           and wedge them together to create the remaining k-form dofs */
2400       PetscDualSpace      trace, fiber;
2401       PetscDualSpace_Lag *tracel, *fiberl;
2402       PetscQuadrature     intNodesTrace2, intNodesFiber2, intNodes2;
2403       PetscLagNodeIndices intNodeIndices2;
2404       Mat                 intMatTrace, intMatFiber, intMat2;
2405       PetscInt            traceDegree = formDegree > 0 ? formDegree - 1 : formDegree + 1;
2406       PetscInt            fiberDegree = formDegree > 0 ? 1 : -1;
2407 
2408       PetscCall(PetscDualSpaceCreateFacetSubspace_Lagrange(sp, NULL, tensorf, traceDegree, Ncopies, PETSC_TRUE, &trace));
2409       PetscCall(PetscDualSpaceCreateEdgeSubspace_Lagrange(sp, order, fiberDegree, 1, PETSC_TRUE, &fiber));
2410       tracel = (PetscDualSpace_Lag *)trace->data;
2411       fiberl = (PetscDualSpace_Lag *)fiber->data;
2412       if (!lag->vertIndices) PetscCall(PetscLagNodeIndicesCreateTensorVertices(dm, tracel->vertIndices, &(lag->vertIndices)));
2413       PetscCall(PetscDualSpaceGetInteriorData(trace, &intNodesTrace2, &intMatTrace));
2414       PetscCall(PetscDualSpaceGetInteriorData(fiber, &intNodesFiber2, &intMatFiber));
2415       if (intNodesTrace2 && intNodesFiber2) {
2416         PetscCall(PetscQuadratureCreateTensor(intNodesTrace2, intNodesFiber2, &intNodes2));
2417         PetscCall(MatTensorAltV(intMatTrace, intMatFiber, dim - 1, traceDegree, 1, fiberDegree, &intMat2));
2418         PetscCall(PetscLagNodeIndicesTensor(tracel->intNodeIndices, dim - 1, traceDegree, fiberl->intNodeIndices, 1, fiberDegree, &intNodeIndices2));
2419         if (!intMat) {
2420           intMat         = intMat2;
2421           intNodes       = intNodes2;
2422           intNodeIndices = intNodeIndices2;
2423         } else {
2424           /* merge the matrices, quadrature points, and nodes */
2425           PetscInt            nM;
2426           PetscInt            nDof, nDof2;
2427           PetscInt           *toMerged = NULL, *toMerged2 = NULL;
2428           PetscQuadrature     merged               = NULL;
2429           PetscLagNodeIndices intNodeIndicesMerged = NULL;
2430           Mat                 matMerged            = NULL;
2431 
2432           PetscCall(MatGetSize(intMat, &nDof, NULL));
2433           PetscCall(MatGetSize(intMat2, &nDof2, NULL));
2434           PetscCall(PetscQuadraturePointsMerge(intNodes, intNodes2, &merged, &toMerged, &toMerged2));
2435           PetscCall(PetscQuadratureGetData(merged, NULL, NULL, &nM, NULL, NULL));
2436           PetscCall(MatricesMerge(intMat, intMat2, dim, formDegree, nM, toMerged, toMerged2, &matMerged));
2437           PetscCall(PetscLagNodeIndicesMerge(intNodeIndices, intNodeIndices2, &intNodeIndicesMerged));
2438           PetscCall(PetscFree(toMerged));
2439           PetscCall(PetscFree(toMerged2));
2440           PetscCall(MatDestroy(&intMat));
2441           PetscCall(MatDestroy(&intMat2));
2442           PetscCall(PetscQuadratureDestroy(&intNodes));
2443           PetscCall(PetscQuadratureDestroy(&intNodes2));
2444           PetscCall(PetscLagNodeIndicesDestroy(&intNodeIndices));
2445           PetscCall(PetscLagNodeIndicesDestroy(&intNodeIndices2));
2446           intNodes       = merged;
2447           intMat         = matMerged;
2448           intNodeIndices = intNodeIndicesMerged;
2449           if (!trimmed) {
2450             /* I think users expect that, when a node has a full basis for the k-forms,
2451              * they should be consecutive dofs.  That isn't the case for trimmed spaces,
2452              * but is for some of the nodes in untrimmed spaces, so in that case we
2453              * sort them to group them by node */
2454             Mat intMatPerm;
2455 
2456             PetscCall(MatPermuteByNodeIdx(intMat, intNodeIndices, &intMatPerm));
2457             PetscCall(MatDestroy(&intMat));
2458             intMat = intMatPerm;
2459           }
2460         }
2461       }
2462       PetscCall(PetscDualSpaceDestroy(&fiber));
2463       PetscCall(PetscDualSpaceDestroy(&trace));
2464     }
2465     PetscCall(PetscQuadratureDestroy(&intNodesTrace));
2466     PetscCall(PetscQuadratureDestroy(&intNodesFiber));
2467     sp->intNodes        = intNodes;
2468     sp->intMat          = intMat;
2469     lag->intNodeIndices = intNodeIndices;
2470     {
2471       PetscInt nDofs = 0;
2472 
2473       if (intMat) PetscCall(MatGetSize(intMat, &nDofs, NULL));
2474       PetscCall(PetscSectionSetDof(section, 0, nDofs));
2475     }
2476     PetscCall(PetscDualSpaceSectionSetUp_Internal(sp, section));
2477     if (continuous) {
2478       PetscCall(PetscDualSpaceCreateAllDataFromInteriorData(sp));
2479       PetscCall(PetscDualSpaceLagrangeCreateAllNodeIdx(sp));
2480     } else {
2481       PetscCall(PetscObjectReference((PetscObject)intNodes));
2482       sp->allNodes = intNodes;
2483       PetscCall(PetscObjectReference((PetscObject)intMat));
2484       sp->allMat = intMat;
2485       PetscCall(PetscLagNodeIndicesReference(intNodeIndices));
2486       lag->allNodeIndices = intNodeIndices;
2487     }
2488   }
2489   PetscCall(PetscSectionGetStorageSize(section, &sp->spdim));
2490   PetscCall(PetscSectionGetConstrainedStorageSize(section, &sp->spintdim));
2491   PetscCall(PetscDualSpaceComputeFunctionalsFromAllData(sp));
2492   PetscCall(PetscFree2(pStratStart, pStratEnd));
2493   PetscCall(DMDestroy(&dmint));
2494   PetscFunctionReturn(PETSC_SUCCESS);
2495 }
2496 
2497 /* Create a matrix that represents the transformation that DMPlexVecGetClosure() would need
2498  * to get the representation of the dofs for a mesh point if the mesh point had this orientation
2499  * relative to the cell */
2500 PetscErrorCode PetscDualSpaceCreateInteriorSymmetryMatrix_Lagrange(PetscDualSpace sp, PetscInt ornt, Mat *symMat)
2501 {
2502   PetscDualSpace_Lag *lag;
2503   DM                  dm;
2504   PetscLagNodeIndices vertIndices, intNodeIndices;
2505   PetscLagNodeIndices ni;
2506   PetscInt            nodeIdxDim, nodeVecDim, nNodes;
2507   PetscInt            formDegree;
2508   PetscInt           *perm, *permOrnt;
2509   PetscInt           *nnz;
2510   PetscInt            n;
2511   PetscInt            maxGroupSize;
2512   PetscScalar        *V, *W, *work;
2513   Mat                 A;
2514 
2515   PetscFunctionBegin;
2516   if (!sp->spintdim) {
2517     *symMat = NULL;
2518     PetscFunctionReturn(PETSC_SUCCESS);
2519   }
2520   lag            = (PetscDualSpace_Lag *)sp->data;
2521   vertIndices    = lag->vertIndices;
2522   intNodeIndices = lag->intNodeIndices;
2523   PetscCall(PetscDualSpaceGetDM(sp, &dm));
2524   PetscCall(PetscDualSpaceGetFormDegree(sp, &formDegree));
2525   PetscCall(PetscNew(&ni));
2526   ni->refct      = 1;
2527   ni->nodeIdxDim = nodeIdxDim = intNodeIndices->nodeIdxDim;
2528   ni->nodeVecDim = nodeVecDim = intNodeIndices->nodeVecDim;
2529   ni->nNodes = nNodes = intNodeIndices->nNodes;
2530   PetscCall(PetscMalloc1(nNodes * nodeIdxDim, &(ni->nodeIdx)));
2531   PetscCall(PetscMalloc1(nNodes * nodeVecDim, &(ni->nodeVec)));
2532   /* push forward the dofs by the symmetry of the reference element induced by ornt */
2533   PetscCall(PetscLagNodeIndicesPushForward(dm, vertIndices, 0, vertIndices, intNodeIndices, ornt, formDegree, ni->nodeIdx, ni->nodeVec));
2534   /* get the revlex order for both the original and transformed dofs */
2535   PetscCall(PetscLagNodeIndicesGetPermutation(intNodeIndices, &perm));
2536   PetscCall(PetscLagNodeIndicesGetPermutation(ni, &permOrnt));
2537   PetscCall(PetscMalloc1(nNodes, &nnz));
2538   for (n = 0, maxGroupSize = 0; n < nNodes;) { /* incremented in the loop */
2539     PetscInt *nind = &(ni->nodeIdx[permOrnt[n] * nodeIdxDim]);
2540     PetscInt  m, nEnd;
2541     PetscInt  groupSize;
2542     /* for each group of dofs that have the same nodeIdx coordinate */
2543     for (nEnd = n + 1; nEnd < nNodes; nEnd++) {
2544       PetscInt *mind = &(ni->nodeIdx[permOrnt[nEnd] * nodeIdxDim]);
2545       PetscInt  d;
2546 
2547       /* compare the oriented permutation indices */
2548       for (d = 0; d < nodeIdxDim; d++)
2549         if (mind[d] != nind[d]) break;
2550       if (d < nodeIdxDim) break;
2551     }
2552     /* permOrnt[[n, nEnd)] is a group of dofs that, under the symmetry are at the same location */
2553 
2554     /* the symmetry had better map the group of dofs with the same permuted nodeIdx
2555      * to a group of dofs with the same size, otherwise we messed up */
2556     if (PetscDefined(USE_DEBUG)) {
2557       PetscInt  m;
2558       PetscInt *nind = &(intNodeIndices->nodeIdx[perm[n] * nodeIdxDim]);
2559 
2560       for (m = n + 1; m < nEnd; m++) {
2561         PetscInt *mind = &(intNodeIndices->nodeIdx[perm[m] * nodeIdxDim]);
2562         PetscInt  d;
2563 
2564         /* compare the oriented permutation indices */
2565         for (d = 0; d < nodeIdxDim; d++)
2566           if (mind[d] != nind[d]) break;
2567         if (d < nodeIdxDim) break;
2568       }
2569       PetscCheck(m >= nEnd, PETSC_COMM_SELF, PETSC_ERR_PLIB, "Dofs with same index after symmetry not same block size");
2570     }
2571     groupSize = nEnd - n;
2572     /* each pushforward dof vector will be expressed in a basis of the unpermuted dofs */
2573     for (m = n; m < nEnd; m++) nnz[permOrnt[m]] = groupSize;
2574 
2575     maxGroupSize = PetscMax(maxGroupSize, nEnd - n);
2576     n            = nEnd;
2577   }
2578   PetscCheck(maxGroupSize <= nodeVecDim, PETSC_COMM_SELF, PETSC_ERR_PLIB, "Dofs are not in blocks that can be solved");
2579   PetscCall(MatCreateSeqAIJ(PETSC_COMM_SELF, nNodes, nNodes, 0, nnz, &A));
2580   PetscCall(PetscFree(nnz));
2581   PetscCall(PetscMalloc3(maxGroupSize * nodeVecDim, &V, maxGroupSize * nodeVecDim, &W, nodeVecDim * 2, &work));
2582   for (n = 0; n < nNodes;) { /* incremented in the loop */
2583     PetscInt *nind = &(ni->nodeIdx[permOrnt[n] * nodeIdxDim]);
2584     PetscInt  nEnd;
2585     PetscInt  m;
2586     PetscInt  groupSize;
2587     for (nEnd = n + 1; nEnd < nNodes; nEnd++) {
2588       PetscInt *mind = &(ni->nodeIdx[permOrnt[nEnd] * nodeIdxDim]);
2589       PetscInt  d;
2590 
2591       /* compare the oriented permutation indices */
2592       for (d = 0; d < nodeIdxDim; d++)
2593         if (mind[d] != nind[d]) break;
2594       if (d < nodeIdxDim) break;
2595     }
2596     groupSize = nEnd - n;
2597     /* get all of the vectors from the original and all of the pushforward vectors */
2598     for (m = n; m < nEnd; m++) {
2599       PetscInt d;
2600 
2601       for (d = 0; d < nodeVecDim; d++) {
2602         V[(m - n) * nodeVecDim + d] = intNodeIndices->nodeVec[perm[m] * nodeVecDim + d];
2603         W[(m - n) * nodeVecDim + d] = ni->nodeVec[permOrnt[m] * nodeVecDim + d];
2604       }
2605     }
2606     /* now we have to solve for W in terms of V: the systems isn't always square, but the span
2607      * of V and W should always be the same, so the solution of the normal equations works */
2608     {
2609       char         transpose = 'N';
2610       PetscBLASInt bm        = nodeVecDim;
2611       PetscBLASInt bn        = groupSize;
2612       PetscBLASInt bnrhs     = groupSize;
2613       PetscBLASInt blda      = bm;
2614       PetscBLASInt bldb      = bm;
2615       PetscBLASInt blwork    = 2 * nodeVecDim;
2616       PetscBLASInt info;
2617 
2618       PetscCallBLAS("LAPACKgels", LAPACKgels_(&transpose, &bm, &bn, &bnrhs, V, &blda, W, &bldb, work, &blwork, &info));
2619       PetscCheck(info == 0, PETSC_COMM_SELF, PETSC_ERR_LIB, "Bad argument to GELS");
2620       /* repack */
2621       {
2622         PetscInt i, j;
2623 
2624         for (i = 0; i < groupSize; i++) {
2625           for (j = 0; j < groupSize; j++) {
2626             /* notice the different leading dimension */
2627             V[i * groupSize + j] = W[i * nodeVecDim + j];
2628           }
2629         }
2630       }
2631       if (PetscDefined(USE_DEBUG)) {
2632         PetscReal res;
2633 
2634         /* check that the normal error is 0 */
2635         for (m = n; m < nEnd; m++) {
2636           PetscInt d;
2637 
2638           for (d = 0; d < nodeVecDim; d++) W[(m - n) * nodeVecDim + d] = ni->nodeVec[permOrnt[m] * nodeVecDim + d];
2639         }
2640         res = 0.;
2641         for (PetscInt i = 0; i < groupSize; i++) {
2642           for (PetscInt j = 0; j < nodeVecDim; j++) {
2643             for (PetscInt k = 0; k < groupSize; k++) W[i * nodeVecDim + j] -= V[i * groupSize + k] * intNodeIndices->nodeVec[perm[n + k] * nodeVecDim + j];
2644             res += PetscAbsScalar(W[i * nodeVecDim + j]);
2645           }
2646         }
2647         PetscCheck(res <= PETSC_SMALL, PETSC_COMM_SELF, PETSC_ERR_LIB, "Dof block did not solve");
2648       }
2649     }
2650     PetscCall(MatSetValues(A, groupSize, &permOrnt[n], groupSize, &perm[n], V, INSERT_VALUES));
2651     n = nEnd;
2652   }
2653   PetscCall(MatAssemblyBegin(A, MAT_FINAL_ASSEMBLY));
2654   PetscCall(MatAssemblyEnd(A, MAT_FINAL_ASSEMBLY));
2655   *symMat = A;
2656   PetscCall(PetscFree3(V, W, work));
2657   PetscCall(PetscLagNodeIndicesDestroy(&ni));
2658   PetscFunctionReturn(PETSC_SUCCESS);
2659 }
2660 
2661 #define BaryIndex(perEdge, a, b, c) (((b) * (2 * perEdge + 1 - (b))) / 2) + (c)
2662 
2663 #define CartIndex(perEdge, a, b) (perEdge * (a) + b)
2664 
2665 /* the existing interface for symmetries is insufficient for all cases:
2666  * - it should be sufficient for form degrees that are scalar (0 and n)
2667  * - it should be sufficient for hypercube dofs
2668  * - it isn't sufficient for simplex cells with non-scalar form degrees if
2669  *   there are any dofs in the interior
2670  *
2671  * We compute the general transformation matrices, and if they fit, we return them,
2672  * otherwise we error (but we should probably change the interface to allow for
2673  * these symmetries)
2674  */
2675 static PetscErrorCode PetscDualSpaceGetSymmetries_Lagrange(PetscDualSpace sp, const PetscInt ****perms, const PetscScalar ****flips)
2676 {
2677   PetscDualSpace_Lag *lag = (PetscDualSpace_Lag *)sp->data;
2678   PetscInt            dim, order, Nc;
2679 
2680   PetscFunctionBegin;
2681   PetscCall(PetscDualSpaceGetOrder(sp, &order));
2682   PetscCall(PetscDualSpaceGetNumComponents(sp, &Nc));
2683   PetscCall(DMGetDimension(sp->dm, &dim));
2684   if (!lag->symComputed) { /* store symmetries */
2685     PetscInt       pStart, pEnd, p;
2686     PetscInt       numPoints;
2687     PetscInt       numFaces;
2688     PetscInt       spintdim;
2689     PetscInt    ***symperms;
2690     PetscScalar ***symflips;
2691 
2692     PetscCall(DMPlexGetChart(sp->dm, &pStart, &pEnd));
2693     numPoints = pEnd - pStart;
2694     {
2695       DMPolytopeType ct;
2696       /* The number of arrangements is no longer based on the number of faces */
2697       PetscCall(DMPlexGetCellType(sp->dm, 0, &ct));
2698       numFaces = DMPolytopeTypeGetNumArrangments(ct) / 2;
2699     }
2700     PetscCall(PetscCalloc1(numPoints, &symperms));
2701     PetscCall(PetscCalloc1(numPoints, &symflips));
2702     spintdim = sp->spintdim;
2703     /* The nodal symmetry behavior is not present when tensorSpace != tensorCell: someone might want this for the "S"
2704      * family of FEEC spaces.  Most used in particular are discontinuous polynomial L2 spaces in tensor cells, where
2705      * the symmetries are not necessary for FE assembly.  So for now we assume this is the case and don't return
2706      * symmetries if tensorSpace != tensorCell */
2707     if (spintdim && 0 < dim && dim < 3 && (lag->tensorSpace == lag->tensorCell)) { /* compute self symmetries */
2708       PetscInt    **cellSymperms;
2709       PetscScalar **cellSymflips;
2710       PetscInt      ornt;
2711       PetscInt      nCopies = Nc / lag->intNodeIndices->nodeVecDim;
2712       PetscInt      nNodes  = lag->intNodeIndices->nNodes;
2713 
2714       lag->numSelfSym = 2 * numFaces;
2715       lag->selfSymOff = numFaces;
2716       PetscCall(PetscCalloc1(2 * numFaces, &cellSymperms));
2717       PetscCall(PetscCalloc1(2 * numFaces, &cellSymflips));
2718       /* we want to be able to index symmetries directly with the orientations, which range from [-numFaces,numFaces) */
2719       symperms[0] = &cellSymperms[numFaces];
2720       symflips[0] = &cellSymflips[numFaces];
2721       PetscCheck(lag->intNodeIndices->nodeVecDim * nCopies == Nc, PETSC_COMM_SELF, PETSC_ERR_PLIB, "Node indices incompatible with dofs");
2722       PetscCheck(nNodes * nCopies == spintdim, PETSC_COMM_SELF, PETSC_ERR_PLIB, "Node indices incompatible with dofs");
2723       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 */
2724         Mat          symMat;
2725         PetscInt    *perm;
2726         PetscScalar *flips;
2727         PetscInt     i;
2728 
2729         if (!ornt) continue;
2730         PetscCall(PetscMalloc1(spintdim, &perm));
2731         PetscCall(PetscCalloc1(spintdim, &flips));
2732         for (i = 0; i < spintdim; i++) perm[i] = -1;
2733         PetscCall(PetscDualSpaceCreateInteriorSymmetryMatrix_Lagrange(sp, ornt, &symMat));
2734         for (i = 0; i < nNodes; i++) {
2735           PetscInt           ncols;
2736           PetscInt           j, k;
2737           const PetscInt    *cols;
2738           const PetscScalar *vals;
2739           PetscBool          nz_seen = PETSC_FALSE;
2740 
2741           PetscCall(MatGetRow(symMat, i, &ncols, &cols, &vals));
2742           for (j = 0; j < ncols; j++) {
2743             if (PetscAbsScalar(vals[j]) > PETSC_SMALL) {
2744               PetscCheck(!nz_seen, PETSC_COMM_SELF, PETSC_ERR_ARG_INCOMP, "This dual space has symmetries that can't be described as a permutation + sign flips");
2745               nz_seen = PETSC_TRUE;
2746               PetscCheck(PetscAbsReal(PetscAbsScalar(vals[j]) - PetscRealConstant(1.)) <= PETSC_SMALL, PETSC_COMM_SELF, PETSC_ERR_ARG_INCOMP, "This dual space has symmetries that can't be described as a permutation + sign flips");
2747               PetscCheck(PetscAbsReal(PetscImaginaryPart(vals[j])) <= PETSC_SMALL, PETSC_COMM_SELF, PETSC_ERR_ARG_INCOMP, "This dual space has symmetries that can't be described as a permutation + sign flips");
2748               PetscCheck(perm[cols[j] * nCopies] < 0, PETSC_COMM_SELF, PETSC_ERR_ARG_INCOMP, "This dual space has symmetries that can't be described as a permutation + sign flips");
2749               for (k = 0; k < nCopies; k++) perm[cols[j] * nCopies + k] = i * nCopies + k;
2750               if (PetscRealPart(vals[j]) < 0.) {
2751                 for (k = 0; k < nCopies; k++) flips[i * nCopies + k] = -1.;
2752               } else {
2753                 for (k = 0; k < nCopies; k++) flips[i * nCopies + k] = 1.;
2754               }
2755             }
2756           }
2757           PetscCall(MatRestoreRow(symMat, i, &ncols, &cols, &vals));
2758         }
2759         PetscCall(MatDestroy(&symMat));
2760         /* if there were no sign flips, keep NULL */
2761         for (i = 0; i < spintdim; i++)
2762           if (flips[i] != 1.) break;
2763         if (i == spintdim) {
2764           PetscCall(PetscFree(flips));
2765           flips = NULL;
2766         }
2767         /* if the permutation is identity, keep NULL */
2768         for (i = 0; i < spintdim; i++)
2769           if (perm[i] != i) break;
2770         if (i == spintdim) {
2771           PetscCall(PetscFree(perm));
2772           perm = NULL;
2773         }
2774         symperms[0][ornt] = perm;
2775         symflips[0][ornt] = flips;
2776       }
2777       /* if no orientations produced non-identity permutations, keep NULL */
2778       for (ornt = -numFaces; ornt < numFaces; ornt++)
2779         if (symperms[0][ornt]) break;
2780       if (ornt == numFaces) {
2781         PetscCall(PetscFree(cellSymperms));
2782         symperms[0] = NULL;
2783       }
2784       /* if no orientations produced sign flips, keep NULL */
2785       for (ornt = -numFaces; ornt < numFaces; ornt++)
2786         if (symflips[0][ornt]) break;
2787       if (ornt == numFaces) {
2788         PetscCall(PetscFree(cellSymflips));
2789         symflips[0] = NULL;
2790       }
2791     }
2792     { /* get the symmetries of closure points */
2793       PetscInt  closureSize = 0;
2794       PetscInt *closure     = NULL;
2795       PetscInt  r;
2796 
2797       PetscCall(DMPlexGetTransitiveClosure(sp->dm, 0, PETSC_TRUE, &closureSize, &closure));
2798       for (r = 0; r < closureSize; r++) {
2799         PetscDualSpace       psp;
2800         PetscInt             point = closure[2 * r];
2801         PetscInt             pspintdim;
2802         const PetscInt    ***psymperms = NULL;
2803         const PetscScalar ***psymflips = NULL;
2804 
2805         if (!point) continue;
2806         PetscCall(PetscDualSpaceGetPointSubspace(sp, point, &psp));
2807         if (!psp) continue;
2808         PetscCall(PetscDualSpaceGetInteriorDimension(psp, &pspintdim));
2809         if (!pspintdim) continue;
2810         PetscCall(PetscDualSpaceGetSymmetries(psp, &psymperms, &psymflips));
2811         symperms[r] = (PetscInt **)(psymperms ? psymperms[0] : NULL);
2812         symflips[r] = (PetscScalar **)(psymflips ? psymflips[0] : NULL);
2813       }
2814       PetscCall(DMPlexRestoreTransitiveClosure(sp->dm, 0, PETSC_TRUE, &closureSize, &closure));
2815     }
2816     for (p = 0; p < pEnd; p++)
2817       if (symperms[p]) break;
2818     if (p == pEnd) {
2819       PetscCall(PetscFree(symperms));
2820       symperms = NULL;
2821     }
2822     for (p = 0; p < pEnd; p++)
2823       if (symflips[p]) break;
2824     if (p == pEnd) {
2825       PetscCall(PetscFree(symflips));
2826       symflips = NULL;
2827     }
2828     lag->symperms    = symperms;
2829     lag->symflips    = symflips;
2830     lag->symComputed = PETSC_TRUE;
2831   }
2832   if (perms) *perms = (const PetscInt ***)lag->symperms;
2833   if (flips) *flips = (const PetscScalar ***)lag->symflips;
2834   PetscFunctionReturn(PETSC_SUCCESS);
2835 }
2836 
2837 static PetscErrorCode PetscDualSpaceLagrangeGetContinuity_Lagrange(PetscDualSpace sp, PetscBool *continuous)
2838 {
2839   PetscDualSpace_Lag *lag = (PetscDualSpace_Lag *)sp->data;
2840 
2841   PetscFunctionBegin;
2842   PetscValidHeaderSpecific(sp, PETSCDUALSPACE_CLASSID, 1);
2843   PetscValidBoolPointer(continuous, 2);
2844   *continuous = lag->continuous;
2845   PetscFunctionReturn(PETSC_SUCCESS);
2846 }
2847 
2848 static PetscErrorCode PetscDualSpaceLagrangeSetContinuity_Lagrange(PetscDualSpace sp, PetscBool continuous)
2849 {
2850   PetscDualSpace_Lag *lag = (PetscDualSpace_Lag *)sp->data;
2851 
2852   PetscFunctionBegin;
2853   PetscValidHeaderSpecific(sp, PETSCDUALSPACE_CLASSID, 1);
2854   lag->continuous = continuous;
2855   PetscFunctionReturn(PETSC_SUCCESS);
2856 }
2857 
2858 /*@
2859   PetscDualSpaceLagrangeGetContinuity - Retrieves the flag for element continuity
2860 
2861   Not Collective
2862 
2863   Input Parameter:
2864 . sp         - the `PetscDualSpace`
2865 
2866   Output Parameter:
2867 . continuous - flag for element continuity
2868 
2869   Level: intermediate
2870 
2871 .seealso: `PETSCDUALSPACELAGRANGE`, `PetscDualSpace`, `PetscDualSpaceLagrangeSetContinuity()`
2872 @*/
2873 PetscErrorCode PetscDualSpaceLagrangeGetContinuity(PetscDualSpace sp, PetscBool *continuous)
2874 {
2875   PetscFunctionBegin;
2876   PetscValidHeaderSpecific(sp, PETSCDUALSPACE_CLASSID, 1);
2877   PetscValidBoolPointer(continuous, 2);
2878   PetscTryMethod(sp, "PetscDualSpaceLagrangeGetContinuity_C", (PetscDualSpace, PetscBool *), (sp, continuous));
2879   PetscFunctionReturn(PETSC_SUCCESS);
2880 }
2881 
2882 /*@
2883   PetscDualSpaceLagrangeSetContinuity - Indicate whether the element is continuous
2884 
2885   Logically Collective
2886 
2887   Input Parameters:
2888 + sp         - the `PetscDualSpace`
2889 - continuous - flag for element continuity
2890 
2891   Options Database Key:
2892 . -petscdualspace_lagrange_continuity <bool> - use a continuous element
2893 
2894   Level: intermediate
2895 
2896 .seealso: `PETSCDUALSPACELAGRANGE`, `PetscDualSpace`, `PetscDualSpaceLagrangeGetContinuity()`
2897 @*/
2898 PetscErrorCode PetscDualSpaceLagrangeSetContinuity(PetscDualSpace sp, PetscBool continuous)
2899 {
2900   PetscFunctionBegin;
2901   PetscValidHeaderSpecific(sp, PETSCDUALSPACE_CLASSID, 1);
2902   PetscValidLogicalCollectiveBool(sp, continuous, 2);
2903   PetscTryMethod(sp, "PetscDualSpaceLagrangeSetContinuity_C", (PetscDualSpace, PetscBool), (sp, continuous));
2904   PetscFunctionReturn(PETSC_SUCCESS);
2905 }
2906 
2907 static PetscErrorCode PetscDualSpaceLagrangeGetTensor_Lagrange(PetscDualSpace sp, PetscBool *tensor)
2908 {
2909   PetscDualSpace_Lag *lag = (PetscDualSpace_Lag *)sp->data;
2910 
2911   PetscFunctionBegin;
2912   *tensor = lag->tensorSpace;
2913   PetscFunctionReturn(PETSC_SUCCESS);
2914 }
2915 
2916 static PetscErrorCode PetscDualSpaceLagrangeSetTensor_Lagrange(PetscDualSpace sp, PetscBool tensor)
2917 {
2918   PetscDualSpace_Lag *lag = (PetscDualSpace_Lag *)sp->data;
2919 
2920   PetscFunctionBegin;
2921   lag->tensorSpace = tensor;
2922   PetscFunctionReturn(PETSC_SUCCESS);
2923 }
2924 
2925 static PetscErrorCode PetscDualSpaceLagrangeGetTrimmed_Lagrange(PetscDualSpace sp, PetscBool *trimmed)
2926 {
2927   PetscDualSpace_Lag *lag = (PetscDualSpace_Lag *)sp->data;
2928 
2929   PetscFunctionBegin;
2930   *trimmed = lag->trimmed;
2931   PetscFunctionReturn(PETSC_SUCCESS);
2932 }
2933 
2934 static PetscErrorCode PetscDualSpaceLagrangeSetTrimmed_Lagrange(PetscDualSpace sp, PetscBool trimmed)
2935 {
2936   PetscDualSpace_Lag *lag = (PetscDualSpace_Lag *)sp->data;
2937 
2938   PetscFunctionBegin;
2939   lag->trimmed = trimmed;
2940   PetscFunctionReturn(PETSC_SUCCESS);
2941 }
2942 
2943 static PetscErrorCode PetscDualSpaceLagrangeGetNodeType_Lagrange(PetscDualSpace sp, PetscDTNodeType *nodeType, PetscBool *boundary, PetscReal *exponent)
2944 {
2945   PetscDualSpace_Lag *lag = (PetscDualSpace_Lag *)sp->data;
2946 
2947   PetscFunctionBegin;
2948   if (nodeType) *nodeType = lag->nodeType;
2949   if (boundary) *boundary = lag->endNodes;
2950   if (exponent) *exponent = lag->nodeExponent;
2951   PetscFunctionReturn(PETSC_SUCCESS);
2952 }
2953 
2954 static PetscErrorCode PetscDualSpaceLagrangeSetNodeType_Lagrange(PetscDualSpace sp, PetscDTNodeType nodeType, PetscBool boundary, PetscReal exponent)
2955 {
2956   PetscDualSpace_Lag *lag = (PetscDualSpace_Lag *)sp->data;
2957 
2958   PetscFunctionBegin;
2959   PetscCheck(nodeType != PETSCDTNODES_GAUSSJACOBI || exponent > -1., PetscObjectComm((PetscObject)sp), PETSC_ERR_ARG_OUTOFRANGE, "Exponent must be > -1");
2960   lag->nodeType     = nodeType;
2961   lag->endNodes     = boundary;
2962   lag->nodeExponent = exponent;
2963   PetscFunctionReturn(PETSC_SUCCESS);
2964 }
2965 
2966 static PetscErrorCode PetscDualSpaceLagrangeGetUseMoments_Lagrange(PetscDualSpace sp, PetscBool *useMoments)
2967 {
2968   PetscDualSpace_Lag *lag = (PetscDualSpace_Lag *)sp->data;
2969 
2970   PetscFunctionBegin;
2971   *useMoments = lag->useMoments;
2972   PetscFunctionReturn(PETSC_SUCCESS);
2973 }
2974 
2975 static PetscErrorCode PetscDualSpaceLagrangeSetUseMoments_Lagrange(PetscDualSpace sp, PetscBool useMoments)
2976 {
2977   PetscDualSpace_Lag *lag = (PetscDualSpace_Lag *)sp->data;
2978 
2979   PetscFunctionBegin;
2980   lag->useMoments = useMoments;
2981   PetscFunctionReturn(PETSC_SUCCESS);
2982 }
2983 
2984 static PetscErrorCode PetscDualSpaceLagrangeGetMomentOrder_Lagrange(PetscDualSpace sp, PetscInt *momentOrder)
2985 {
2986   PetscDualSpace_Lag *lag = (PetscDualSpace_Lag *)sp->data;
2987 
2988   PetscFunctionBegin;
2989   *momentOrder = lag->momentOrder;
2990   PetscFunctionReturn(PETSC_SUCCESS);
2991 }
2992 
2993 static PetscErrorCode PetscDualSpaceLagrangeSetMomentOrder_Lagrange(PetscDualSpace sp, PetscInt momentOrder)
2994 {
2995   PetscDualSpace_Lag *lag = (PetscDualSpace_Lag *)sp->data;
2996 
2997   PetscFunctionBegin;
2998   lag->momentOrder = momentOrder;
2999   PetscFunctionReturn(PETSC_SUCCESS);
3000 }
3001 
3002 /*@
3003   PetscDualSpaceLagrangeGetTensor - Get the tensor nature of the dual space
3004 
3005   Not Collective
3006 
3007   Input Parameter:
3008 . sp - The `PetscDualSpace`
3009 
3010   Output Parameter:
3011 . tensor - Whether the dual space has tensor layout (vs. simplicial)
3012 
3013   Level: intermediate
3014 
3015 .seealso: `PETSCDUALSPACELAGRANGE`, `PetscDualSpace`, `PetscDualSpaceLagrangeSetTensor()`, `PetscDualSpaceCreate()`
3016 @*/
3017 PetscErrorCode PetscDualSpaceLagrangeGetTensor(PetscDualSpace sp, PetscBool *tensor)
3018 {
3019   PetscFunctionBegin;
3020   PetscValidHeaderSpecific(sp, PETSCDUALSPACE_CLASSID, 1);
3021   PetscValidBoolPointer(tensor, 2);
3022   PetscTryMethod(sp, "PetscDualSpaceLagrangeGetTensor_C", (PetscDualSpace, PetscBool *), (sp, tensor));
3023   PetscFunctionReturn(PETSC_SUCCESS);
3024 }
3025 
3026 /*@
3027   PetscDualSpaceLagrangeSetTensor - Set the tensor nature of the dual space
3028 
3029   Not Collective
3030 
3031   Input Parameters:
3032 + sp - The `PetscDualSpace`
3033 - tensor - Whether the dual space has tensor layout (vs. simplicial)
3034 
3035   Level: intermediate
3036 
3037 .seealso: `PETSCDUALSPACELAGRANGE`, `PetscDualSpace`, `PetscDualSpaceLagrangeGetTensor()`, `PetscDualSpaceCreate()`
3038 @*/
3039 PetscErrorCode PetscDualSpaceLagrangeSetTensor(PetscDualSpace sp, PetscBool tensor)
3040 {
3041   PetscFunctionBegin;
3042   PetscValidHeaderSpecific(sp, PETSCDUALSPACE_CLASSID, 1);
3043   PetscTryMethod(sp, "PetscDualSpaceLagrangeSetTensor_C", (PetscDualSpace, PetscBool), (sp, tensor));
3044   PetscFunctionReturn(PETSC_SUCCESS);
3045 }
3046 
3047 /*@
3048   PetscDualSpaceLagrangeGetTrimmed - Get the trimmed nature of the dual space
3049 
3050   Not Collective
3051 
3052   Input Parameter:
3053 . sp - The `PetscDualSpace`
3054 
3055   Output Parameter:
3056 . 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)
3057 
3058   Level: intermediate
3059 
3060 .seealso: `PETSCDUALSPACELAGRANGE`, `PetscDualSpace`, `PetscDualSpaceLagrangeSetTrimmed()`, `PetscDualSpaceCreate()`
3061 @*/
3062 PetscErrorCode PetscDualSpaceLagrangeGetTrimmed(PetscDualSpace sp, PetscBool *trimmed)
3063 {
3064   PetscFunctionBegin;
3065   PetscValidHeaderSpecific(sp, PETSCDUALSPACE_CLASSID, 1);
3066   PetscValidBoolPointer(trimmed, 2);
3067   PetscTryMethod(sp, "PetscDualSpaceLagrangeGetTrimmed_C", (PetscDualSpace, PetscBool *), (sp, trimmed));
3068   PetscFunctionReturn(PETSC_SUCCESS);
3069 }
3070 
3071 /*@
3072   PetscDualSpaceLagrangeSetTrimmed - Set the trimmed nature of the dual space
3073 
3074   Not Collective
3075 
3076   Input Parameters:
3077 + sp - The `PetscDualSpace`
3078 - 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)
3079 
3080   Level: intermediate
3081 
3082 .seealso: `PETSCDUALSPACELAGRANGE`, `PetscDualSpace`, `PetscDualSpaceLagrangeGetTrimmed()`, `PetscDualSpaceCreate()`
3083 @*/
3084 PetscErrorCode PetscDualSpaceLagrangeSetTrimmed(PetscDualSpace sp, PetscBool trimmed)
3085 {
3086   PetscFunctionBegin;
3087   PetscValidHeaderSpecific(sp, PETSCDUALSPACE_CLASSID, 1);
3088   PetscTryMethod(sp, "PetscDualSpaceLagrangeSetTrimmed_C", (PetscDualSpace, PetscBool), (sp, trimmed));
3089   PetscFunctionReturn(PETSC_SUCCESS);
3090 }
3091 
3092 /*@
3093   PetscDualSpaceLagrangeGetNodeType - Get a description of how nodes are laid out for Lagrange polynomials in this
3094   dual space
3095 
3096   Not Collective
3097 
3098   Input Parameter:
3099 . sp - The `PetscDualSpace`
3100 
3101   Output Parameters:
3102 + nodeType - The type of nodes
3103 . boundary - Whether the node type is one that includes endpoints (if nodeType is `PETSCDTNODES_GAUSSJACOBI`, nodes that
3104              include the boundary are Gauss-Lobatto-Jacobi nodes)
3105 - exponent - If nodeType is `PETSCDTNODES_GAUSJACOBI`, indicates the exponent used for both ends of the 1D Jacobi weight function
3106              '0' is Gauss-Legendre, '-0.5' is Gauss-Chebyshev of the first type, '0.5' is Gauss-Chebyshev of the second type
3107 
3108   Level: advanced
3109 
3110 .seealso: `PETSCDUALSPACELAGRANGE`, `PetscDualSpace`, `PetscDTNodeType`, `PetscDualSpaceLagrangeSetNodeType()`
3111 @*/
3112 PetscErrorCode PetscDualSpaceLagrangeGetNodeType(PetscDualSpace sp, PetscDTNodeType *nodeType, PetscBool *boundary, PetscReal *exponent)
3113 {
3114   PetscFunctionBegin;
3115   PetscValidHeaderSpecific(sp, PETSCDUALSPACE_CLASSID, 1);
3116   if (nodeType) PetscValidPointer(nodeType, 2);
3117   if (boundary) PetscValidBoolPointer(boundary, 3);
3118   if (exponent) PetscValidRealPointer(exponent, 4);
3119   PetscTryMethod(sp, "PetscDualSpaceLagrangeGetNodeType_C", (PetscDualSpace, PetscDTNodeType *, PetscBool *, PetscReal *), (sp, nodeType, boundary, exponent));
3120   PetscFunctionReturn(PETSC_SUCCESS);
3121 }
3122 
3123 /*@
3124   PetscDualSpaceLagrangeSetNodeType - Set a description of how nodes are laid out for Lagrange polynomials in this
3125   dual space
3126 
3127   Logically Collective
3128 
3129   Input Parameters:
3130 + sp - The `PetscDualSpace`
3131 . nodeType - The type of nodes
3132 . boundary - Whether the node type is one that includes endpoints (if nodeType is `PETSCDTNODES_GAUSSJACOBI`, nodes that
3133              include the boundary are Gauss-Lobatto-Jacobi nodes)
3134 - exponent - If nodeType is `PETSCDTNODES_GAUSJACOBI`, indicates the exponent used for both ends of the 1D Jacobi weight function
3135              '0' is Gauss-Legendre, '-0.5' is Gauss-Chebyshev of the first type, '0.5' is Gauss-Chebyshev of the second type
3136 
3137   Level: advanced
3138 
3139 .seealso: `PETSCDUALSPACELAGRANGE`, `PetscDualSpace`, `PetscDTNodeType`, `PetscDualSpaceLagrangeGetNodeType()`
3140 @*/
3141 PetscErrorCode PetscDualSpaceLagrangeSetNodeType(PetscDualSpace sp, PetscDTNodeType nodeType, PetscBool boundary, PetscReal exponent)
3142 {
3143   PetscFunctionBegin;
3144   PetscValidHeaderSpecific(sp, PETSCDUALSPACE_CLASSID, 1);
3145   PetscTryMethod(sp, "PetscDualSpaceLagrangeSetNodeType_C", (PetscDualSpace, PetscDTNodeType, PetscBool, PetscReal), (sp, nodeType, boundary, exponent));
3146   PetscFunctionReturn(PETSC_SUCCESS);
3147 }
3148 
3149 /*@
3150   PetscDualSpaceLagrangeGetUseMoments - Get the flag for using moment functionals
3151 
3152   Not Collective
3153 
3154   Input Parameter:
3155 . sp - The `PetscDualSpace`
3156 
3157   Output Parameter:
3158 . useMoments - Moment flag
3159 
3160   Level: advanced
3161 
3162 .seealso: `PETSCDUALSPACELAGRANGE`, `PetscDualSpace`, `PetscDualSpaceLagrangeSetUseMoments()`
3163 @*/
3164 PetscErrorCode PetscDualSpaceLagrangeGetUseMoments(PetscDualSpace sp, PetscBool *useMoments)
3165 {
3166   PetscFunctionBegin;
3167   PetscValidHeaderSpecific(sp, PETSCDUALSPACE_CLASSID, 1);
3168   PetscValidBoolPointer(useMoments, 2);
3169   PetscUseMethod(sp, "PetscDualSpaceLagrangeGetUseMoments_C", (PetscDualSpace, PetscBool *), (sp, useMoments));
3170   PetscFunctionReturn(PETSC_SUCCESS);
3171 }
3172 
3173 /*@
3174   PetscDualSpaceLagrangeSetUseMoments - Set the flag for moment functionals
3175 
3176   Logically Collective
3177 
3178   Input Parameters:
3179 + sp - The `PetscDualSpace`
3180 - useMoments - The flag for moment functionals
3181 
3182   Level: advanced
3183 
3184 .seealso: `PETSCDUALSPACELAGRANGE`, `PetscDualSpace`, `PetscDualSpaceLagrangeGetUseMoments()`
3185 @*/
3186 PetscErrorCode PetscDualSpaceLagrangeSetUseMoments(PetscDualSpace sp, PetscBool useMoments)
3187 {
3188   PetscFunctionBegin;
3189   PetscValidHeaderSpecific(sp, PETSCDUALSPACE_CLASSID, 1);
3190   PetscTryMethod(sp, "PetscDualSpaceLagrangeSetUseMoments_C", (PetscDualSpace, PetscBool), (sp, useMoments));
3191   PetscFunctionReturn(PETSC_SUCCESS);
3192 }
3193 
3194 /*@
3195   PetscDualSpaceLagrangeGetMomentOrder - Get the order for moment integration
3196 
3197   Not Collective
3198 
3199   Input Parameter:
3200 . sp - The `PetscDualSpace`
3201 
3202   Output Parameter:
3203 . order - Moment integration order
3204 
3205   Level: advanced
3206 
3207 .seealso: `PETSCDUALSPACELAGRANGE`, `PetscDualSpace`, `PetscDualSpaceLagrangeSetMomentOrder()`
3208 @*/
3209 PetscErrorCode PetscDualSpaceLagrangeGetMomentOrder(PetscDualSpace sp, PetscInt *order)
3210 {
3211   PetscFunctionBegin;
3212   PetscValidHeaderSpecific(sp, PETSCDUALSPACE_CLASSID, 1);
3213   PetscValidIntPointer(order, 2);
3214   PetscUseMethod(sp, "PetscDualSpaceLagrangeGetMomentOrder_C", (PetscDualSpace, PetscInt *), (sp, order));
3215   PetscFunctionReturn(PETSC_SUCCESS);
3216 }
3217 
3218 /*@
3219   PetscDualSpaceLagrangeSetMomentOrder - Set the order for moment integration
3220 
3221   Logically Collective
3222 
3223   Input Parameters:
3224 + sp - The `PetscDualSpace`
3225 - order - The order for moment integration
3226 
3227   Level: advanced
3228 
3229 .seealso: `PETSCDUALSPACELAGRANGE`, `PetscDualSpace`, `PetscDualSpaceLagrangeGetMomentOrder()`
3230 @*/
3231 PetscErrorCode PetscDualSpaceLagrangeSetMomentOrder(PetscDualSpace sp, PetscInt order)
3232 {
3233   PetscFunctionBegin;
3234   PetscValidHeaderSpecific(sp, PETSCDUALSPACE_CLASSID, 1);
3235   PetscTryMethod(sp, "PetscDualSpaceLagrangeSetMomentOrder_C", (PetscDualSpace, PetscInt), (sp, order));
3236   PetscFunctionReturn(PETSC_SUCCESS);
3237 }
3238 
3239 static PetscErrorCode PetscDualSpaceInitialize_Lagrange(PetscDualSpace sp)
3240 {
3241   PetscFunctionBegin;
3242   sp->ops->destroy              = PetscDualSpaceDestroy_Lagrange;
3243   sp->ops->view                 = PetscDualSpaceView_Lagrange;
3244   sp->ops->setfromoptions       = PetscDualSpaceSetFromOptions_Lagrange;
3245   sp->ops->duplicate            = PetscDualSpaceDuplicate_Lagrange;
3246   sp->ops->setup                = PetscDualSpaceSetUp_Lagrange;
3247   sp->ops->createheightsubspace = NULL;
3248   sp->ops->createpointsubspace  = NULL;
3249   sp->ops->getsymmetries        = PetscDualSpaceGetSymmetries_Lagrange;
3250   sp->ops->apply                = PetscDualSpaceApplyDefault;
3251   sp->ops->applyall             = PetscDualSpaceApplyAllDefault;
3252   sp->ops->applyint             = PetscDualSpaceApplyInteriorDefault;
3253   sp->ops->createalldata        = PetscDualSpaceCreateAllDataDefault;
3254   sp->ops->createintdata        = PetscDualSpaceCreateInteriorDataDefault;
3255   PetscFunctionReturn(PETSC_SUCCESS);
3256 }
3257 
3258 /*MC
3259   PETSCDUALSPACELAGRANGE = "lagrange" - A `PetscDualSpaceType` that encapsulates a dual space of pointwise evaluation functionals
3260 
3261   Level: intermediate
3262 
3263   Developer Note:
3264   This `PetscDualSpace` seems to manage directly trimmed and untrimmed polynomials as well as tensor and non-tensor polynomials while for `PetscSpace` there seems to
3265   be different `PetscSpaceType` for them.
3266 
3267 .seealso: `PetscDualSpace`, `PetscDualSpaceType`, `PetscDualSpaceCreate()`, `PetscDualSpaceSetType()`,
3268           `PetscDualSpaceLagrangeSetMomentOrder()`, `PetscDualSpaceLagrangeGetMomentOrder()`, `PetscDualSpaceLagrangeSetUseMoments()`, `PetscDualSpaceLagrangeGetUseMoments()`,
3269           `PetscDualSpaceLagrangeSetNodeType, PetscDualSpaceLagrangeGetNodeType, PetscDualSpaceLagrangeGetContinuity, PetscDualSpaceLagrangeSetContinuity,
3270           `PetscDualSpaceLagrangeGetTensor()`, `PetscDualSpaceLagrangeSetTensor()`, `PetscDualSpaceLagrangeGetTrimmed()`, `PetscDualSpaceLagrangeSetTrimmed()`
3271 M*/
3272 PETSC_EXTERN PetscErrorCode PetscDualSpaceCreate_Lagrange(PetscDualSpace sp)
3273 {
3274   PetscDualSpace_Lag *lag;
3275 
3276   PetscFunctionBegin;
3277   PetscValidHeaderSpecific(sp, PETSCDUALSPACE_CLASSID, 1);
3278   PetscCall(PetscNew(&lag));
3279   sp->data = lag;
3280 
3281   lag->tensorCell  = PETSC_FALSE;
3282   lag->tensorSpace = PETSC_FALSE;
3283   lag->continuous  = PETSC_TRUE;
3284   lag->numCopies   = PETSC_DEFAULT;
3285   lag->numNodeSkip = PETSC_DEFAULT;
3286   lag->nodeType    = PETSCDTNODES_DEFAULT;
3287   lag->useMoments  = PETSC_FALSE;
3288   lag->momentOrder = 0;
3289 
3290   PetscCall(PetscDualSpaceInitialize_Lagrange(sp));
3291   PetscCall(PetscObjectComposeFunction((PetscObject)sp, "PetscDualSpaceLagrangeGetContinuity_C", PetscDualSpaceLagrangeGetContinuity_Lagrange));
3292   PetscCall(PetscObjectComposeFunction((PetscObject)sp, "PetscDualSpaceLagrangeSetContinuity_C", PetscDualSpaceLagrangeSetContinuity_Lagrange));
3293   PetscCall(PetscObjectComposeFunction((PetscObject)sp, "PetscDualSpaceLagrangeGetTensor_C", PetscDualSpaceLagrangeGetTensor_Lagrange));
3294   PetscCall(PetscObjectComposeFunction((PetscObject)sp, "PetscDualSpaceLagrangeSetTensor_C", PetscDualSpaceLagrangeSetTensor_Lagrange));
3295   PetscCall(PetscObjectComposeFunction((PetscObject)sp, "PetscDualSpaceLagrangeGetTrimmed_C", PetscDualSpaceLagrangeGetTrimmed_Lagrange));
3296   PetscCall(PetscObjectComposeFunction((PetscObject)sp, "PetscDualSpaceLagrangeSetTrimmed_C", PetscDualSpaceLagrangeSetTrimmed_Lagrange));
3297   PetscCall(PetscObjectComposeFunction((PetscObject)sp, "PetscDualSpaceLagrangeGetNodeType_C", PetscDualSpaceLagrangeGetNodeType_Lagrange));
3298   PetscCall(PetscObjectComposeFunction((PetscObject)sp, "PetscDualSpaceLagrangeSetNodeType_C", PetscDualSpaceLagrangeSetNodeType_Lagrange));
3299   PetscCall(PetscObjectComposeFunction((PetscObject)sp, "PetscDualSpaceLagrangeGetUseMoments_C", PetscDualSpaceLagrangeGetUseMoments_Lagrange));
3300   PetscCall(PetscObjectComposeFunction((PetscObject)sp, "PetscDualSpaceLagrangeSetUseMoments_C", PetscDualSpaceLagrangeSetUseMoments_Lagrange));
3301   PetscCall(PetscObjectComposeFunction((PetscObject)sp, "PetscDualSpaceLagrangeGetMomentOrder_C", PetscDualSpaceLagrangeGetMomentOrder_Lagrange));
3302   PetscCall(PetscObjectComposeFunction((PetscObject)sp, "PetscDualSpaceLagrangeSetMomentOrder_C", PetscDualSpaceLagrangeSetMomentOrder_Lagrange));
3303   PetscFunctionReturn(PETSC_SUCCESS);
3304 }
3305