Intrepid2
Intrepid2_HDIV_QUAD_In_FEMDef.hpp
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1// @HEADER
2// *****************************************************************************
3// Intrepid2 Package
4//
5// Copyright 2007 NTESS and the Intrepid2 contributors.
6// SPDX-License-Identifier: BSD-3-Clause
7// *****************************************************************************
8// @HEADER
9
16#ifndef __INTREPID2_HDIV_QUAD_IN_FEM_DEF_HPP__
17#define __INTREPID2_HDIV_QUAD_IN_FEM_DEF_HPP__
18
19namespace Intrepid2 {
20
21 // -------------------------------------------------------------------------------------
22 namespace Impl {
23
24 template<EOperator OpType>
25 template<typename OutputViewType,
26 typename InputViewType,
27 typename WorkViewType,
28 typename VinvViewType>
29 KOKKOS_INLINE_FUNCTION
30 void
31 Basis_HDIV_QUAD_In_FEM::Serial<OpType>::
32 getValues( OutputViewType output,
33 const InputViewType input,
34 WorkViewType work,
35 const VinvViewType vinvLine,
36 const VinvViewType vinvBubble) {
37 const ordinal_type cardLine = vinvLine.extent(0);
38 const ordinal_type cardBubble = vinvBubble.extent(0);
39
40 const ordinal_type npts = input.extent(0);
41
42 typedef Kokkos::pair<ordinal_type,ordinal_type> range_type;
43 const auto input_x = Kokkos::subview(input, Kokkos::ALL(), range_type(0,1));
44 const auto input_y = Kokkos::subview(input, Kokkos::ALL(), range_type(1,2));
45
46 const ordinal_type dim_s = get_dimension_scalar(input);
47 auto ptr0 = work.data();
48 auto ptr1 = work.data()+cardLine*npts*dim_s;
49 auto ptr2 = work.data()+2*cardLine*npts*dim_s;
50
51 typedef typename Kokkos::DynRankView<typename InputViewType::value_type, typename WorkViewType::memory_space> ViewType;
52 auto vcprop = Kokkos::common_view_alloc_prop(input);
53
54 switch (OpType) {
55 case OPERATOR_VALUE: {
56 ViewType workLine(Kokkos::view_wrap(ptr0, vcprop), cardLine, npts);
57 ViewType outputLine(Kokkos::view_wrap(ptr1, vcprop), cardLine, npts);
58 ViewType outputBubble(Kokkos::view_wrap(ptr2, vcprop), cardBubble, npts);
59
60 // tensor product
61 ordinal_type idx = 0;
62 {
63 Impl::Basis_HGRAD_LINE_Cn_FEM::Serial<OPERATOR_VALUE>::
64 getValues(outputBubble, input_x, workLine, vinvBubble);
65
66 Impl::Basis_HGRAD_LINE_Cn_FEM::Serial<OPERATOR_VALUE>::
67 getValues(outputLine, input_y, workLine, vinvLine);
68
69 // x component (lineBasis(y) bubbleBasis(x))
70 const auto output_x = outputBubble;
71 const auto output_y = outputLine;
72
73 for (ordinal_type j=0;j<cardLine;++j) // y
74 for (ordinal_type i=0;i<cardBubble;++i,++idx) // x
75 for (ordinal_type k=0;k<npts;++k) {
76 output.access(idx,k,0) = 0.0;
77 output.access(idx,k,1) = output_x.access(i,k)*output_y.access(j,k);
78 }
79 }
80 {
81 Impl::Basis_HGRAD_LINE_Cn_FEM::Serial<OPERATOR_VALUE>::
82 getValues(outputBubble, input_y, workLine, vinvBubble);
83
84 Impl::Basis_HGRAD_LINE_Cn_FEM::Serial<OPERATOR_VALUE>::
85 getValues(outputLine, input_x, workLine, vinvLine);
86
87 // y component (bubbleBasis(y) lineBasis(x))
88 const auto output_x = outputLine;
89 const auto output_y = outputBubble;
90 for (ordinal_type j=0;j<cardBubble;++j) // y
91 for (ordinal_type i=0;i<cardLine;++i,++idx) // x
92 for (ordinal_type k=0;k<npts;++k) {
93 output.access(idx,k,0) = output_x.access(i,k)*output_y.access(j,k);
94 output.access(idx,k,1) = 0.0;
95 }
96 }
97 break;
98 }
99 case OPERATOR_DIV: {
100 ordinal_type idx = 0;
101 { // x - component
102 ViewType workLine(Kokkos::view_wrap(ptr0, vcprop), cardLine, npts);
103 // x bubble value
104 ViewType output_x(Kokkos::view_wrap(ptr2, vcprop), cardBubble, npts);
105 // y line grad
106 ViewType output_y(Kokkos::view_wrap(ptr1, vcprop), cardLine, npts,1);
107
108 Impl::Basis_HGRAD_LINE_Cn_FEM::Serial<OPERATOR_VALUE>::
109 getValues(output_x, input_x, workLine, vinvBubble);
110
111 Impl::Basis_HGRAD_LINE_Cn_FEM::Serial<OPERATOR_Dn>::
112 getValues(output_y, input_y, workLine, vinvLine, 1);
113
114 // tensor product (extra dimension of ouput x and y are ignored)
115 for (ordinal_type j=0;j<cardLine;++j) // y
116 for (ordinal_type i=0;i<cardBubble;++i,++idx) // x
117 for (ordinal_type k=0;k<npts;++k)
118 output.access(idx,k) = output_x.access(i,k)*output_y.access(j,k,0);
119 }
120 { // y - component
121 ViewType workLine(Kokkos::view_wrap(ptr0, vcprop), cardLine, npts);
122 // x line grad
123 ViewType output_x(Kokkos::view_wrap(ptr1, vcprop), cardLine, npts,1);
124 // y bubble value
125 ViewType output_y(Kokkos::view_wrap(ptr2, vcprop), cardBubble, npts);
126
127 Impl::Basis_HGRAD_LINE_Cn_FEM::Serial<OPERATOR_VALUE>::
128 getValues(output_y, input_y, workLine, vinvBubble);
129
130 Impl::Basis_HGRAD_LINE_Cn_FEM::Serial<OPERATOR_Dn>::
131 getValues(output_x, input_x, workLine, vinvLine, 1);
132
133 // tensor product (extra dimension of ouput x and y are ignored)
134 for (ordinal_type j=0;j<cardBubble;++j) // y
135 for (ordinal_type i=0;i<cardLine;++i,++idx) // x
136 for (ordinal_type k=0;k<npts;++k)
137 output.access(idx,k) = output_x.access(i,k,0)*output_y.access(j,k);
138 }
139 break;
140 }
141 default: {
142 INTREPID2_TEST_FOR_ABORT( true,
143 ">>> ERROR: (Intrepid2::Basis_HDIV_QUAD_In_FEM::Serial::getValues) operator is not supported" );
144 }
145 }
146 }
147
148 template<typename DT, ordinal_type numPtsPerEval,
149 typename outputValueValueType, class ...outputValueProperties,
150 typename inputPointValueType, class ...inputPointProperties,
151 typename vinvValueType, class ...vinvProperties>
152 void
153 Basis_HDIV_QUAD_In_FEM::
154 getValues( Kokkos::DynRankView<outputValueValueType,outputValueProperties...> outputValues,
155 const Kokkos::DynRankView<inputPointValueType, inputPointProperties...> inputPoints,
156 const Kokkos::DynRankView<vinvValueType, vinvProperties...> vinvLine,
157 const Kokkos::DynRankView<vinvValueType, vinvProperties...> vinvBubble,
158 const EOperator operatorType ) {
159 typedef Kokkos::DynRankView<outputValueValueType,outputValueProperties...> outputValueViewType;
160 typedef Kokkos::DynRankView<inputPointValueType, inputPointProperties...> inputPointViewType;
161 typedef Kokkos::DynRankView<vinvValueType, vinvProperties...> vinvViewType;
162 typedef typename ExecSpace<typename inputPointViewType::execution_space,typename DT::execution_space>::ExecSpaceType ExecSpaceType;
163
164 // loopSize corresponds to cardinality
165 const auto loopSizeTmp1 = (inputPoints.extent(0)/numPtsPerEval);
166 const auto loopSizeTmp2 = (inputPoints.extent(0)%numPtsPerEval != 0);
167 const auto loopSize = loopSizeTmp1 + loopSizeTmp2;
168 Kokkos::RangePolicy<ExecSpaceType,Kokkos::Schedule<Kokkos::Static> > policy(0, loopSize);
169
170 typedef typename inputPointViewType::value_type inputPointType;
171
172 const ordinal_type cardinality = outputValues.extent(0);
173 //get basis order based on basis cardinality.
174 ordinal_type order = 0; // = std::sqrt(cardinality/2);
175 ordinal_type cardBubble; // = std::sqrt(cardinality/2);
176 ordinal_type cardLine; // = cardBubble+1;
177 do {
178 cardBubble = Intrepid2::getPnCardinality<1>(order);
179 cardLine = Intrepid2::getPnCardinality<1>(++order);
180 } while((2*cardBubble*cardLine != cardinality) && (order != Parameters::MaxOrder));
181
182 auto vcprop = Kokkos::common_view_alloc_prop(inputPoints);
183 typedef typename Kokkos::DynRankView< inputPointType, typename inputPointViewType::memory_space> workViewType;
184
185 switch (operatorType) {
186 case OPERATOR_VALUE: {
187 auto workSize = Serial<OPERATOR_VALUE>::getWorkSizePerPoint(order);
188 workViewType work(Kokkos::view_alloc("Basis_HDIV_QUAD_In_FEM::getValues::work", vcprop), workSize, inputPoints.extent(0));
189 typedef Functor<outputValueViewType,inputPointViewType,vinvViewType, workViewType,
190 OPERATOR_VALUE,numPtsPerEval> FunctorType;
191 Kokkos::parallel_for( policy, FunctorType(outputValues, inputPoints, vinvLine, vinvBubble, work) );
192 break;
193 }
194 case OPERATOR_DIV: {
195 auto workSize = Serial<OPERATOR_DIV>::getWorkSizePerPoint(order);
196 workViewType work(Kokkos::view_alloc("Basis_HDIV_QUAD_In_FEM::getValues::work", vcprop), workSize, inputPoints.extent(0));
197 typedef Functor<outputValueViewType,inputPointViewType,vinvViewType, workViewType,
198 OPERATOR_DIV,numPtsPerEval> FunctorType;
199 Kokkos::parallel_for( policy, FunctorType(outputValues, inputPoints, vinvLine, vinvBubble, work) );
200 break;
201 }
202 default: {
203 INTREPID2_TEST_FOR_EXCEPTION( true , std::invalid_argument,
204 ">>> ERROR (Basis_HDIV_QUAD_In_FEM): Operator type not implemented" );
205 }
206 }
207 }
208 }
209
210 // -------------------------------------------------------------------------------------
211 template<typename DT, typename OT, typename PT>
212 Basis_HDIV_QUAD_In_FEM<DT,OT,PT>::
213 Basis_HDIV_QUAD_In_FEM( const ordinal_type order,
214 const EPointType pointType ) {
215
216 INTREPID2_TEST_FOR_EXCEPTION( !(pointType == POINTTYPE_EQUISPACED ||
217 pointType == POINTTYPE_WARPBLEND), std::invalid_argument,
218 ">>> ERROR (Basis_HDIV_QUAD_In_FEM): pointType must be either equispaced or warpblend.");
219
220 // this should be in host
221 Basis_HGRAD_LINE_Cn_FEM<DT,OT,PT> lineBasis( order, pointType );
222 Basis_HVOL_LINE_Cn_FEM<DT,OT,PT> bubbleBasis( order - 1, POINTTYPE_GAUSS );
223
224 const ordinal_type
225 cardLine = lineBasis.getCardinality(),
226 cardBubble = bubbleBasis.getCardinality();
227
228 this->vinvLine_ = Kokkos::DynRankView<typename ScalarViewType::value_type,DT>("Hdiv::Quad::In::vinvLine", cardLine, cardLine);
229 this->vinvBubble_ = Kokkos::DynRankView<typename ScalarViewType::value_type,DT>("Hdiv::Quad::In::vinvBubble", cardBubble, cardBubble);
230
231 lineBasis.getVandermondeInverse(this->vinvLine_);
232 bubbleBasis.getVandermondeInverse(this->vinvBubble_);
233
234 const ordinal_type spaceDim = 2;
235 this->basisCardinality_ = 2*cardLine*cardBubble;
236 this->basisDegree_ = order;
237 this->basisCellTopologyKey_ = shards::Quadrilateral<4>::key;
238 this->basisType_ = BASIS_FEM_LAGRANGIAN;
239 this->basisCoordinates_ = COORDINATES_CARTESIAN;
240 this->functionSpace_ = FUNCTION_SPACE_HDIV;
241 pointType_ = pointType;
242
243 // initialize tags
244 {
245 // Basis-dependent initializations
246 const ordinal_type tagSize = 4; // size of DoF tag, i.e., number of fields in the tag
247 const ordinal_type posScDim = 0; // position in the tag, counting from 0, of the subcell dim
248 const ordinal_type posScOrd = 1; // position in the tag, counting from 0, of the subcell ordinal
249 const ordinal_type posDfOrd = 2; // position in the tag, counting from 0, of DoF ordinal relative to the subcell
250
251 // An array with local DoF tags assigned to the basis functions, in the order of their local enumeration
252 constexpr ordinal_type maxCardLine = Parameters::MaxOrder + 1;
253 constexpr ordinal_type maxCardBubble = Parameters::MaxOrder;
254 ordinal_type tags[2*maxCardLine*maxCardBubble][4];
255
256 const ordinal_type edge_x[2] = {0,2};
257 const ordinal_type edge_y[2] = {3,1};
258 {
259 ordinal_type idx = 0;
260
264
265 // since there are x/y components in the interior
266 // dof sum should be computed before the information
267 // is assigned to tags
268 const ordinal_type
269 intr_ndofs_per_direction = (cardLine-2)*cardBubble,
270 intr_ndofs = 2*intr_ndofs_per_direction;
271
272 // x component (lineBasis(y) bubbleBasis(x))
273 for (ordinal_type j=0;j<cardLine;++j) { // y
274 const auto tag_y = lineBasis.getDofTag(j);
275 for (ordinal_type i=0;i<cardBubble;++i,++idx) { // x
276 const auto tag_x = bubbleBasis.getDofTag(i);
277
278 if (tag_x(0) == 1 && tag_y(0) == 0) {
279 // edge: x edge, y vert
280 tags[idx][0] = 1; // edge dof
281 tags[idx][1] = edge_x[tag_y(1)];
282 tags[idx][2] = tag_x(2); // local dof id
283 tags[idx][3] = tag_x(3); // total number of dofs in this vertex
284 } else {
285 // interior
286 tags[idx][0] = 2; // interior dof
287 tags[idx][1] = 0;
288 tags[idx][2] = tag_x(2) + tag_x(3)*tag_y(2); // local dof id
289 tags[idx][3] = intr_ndofs; // total number of dofs in this vertex
290 }
291 }
292 }
293
294 // y component (bubbleBasis(y) lineBasis(x))
295 for (ordinal_type j=0;j<cardBubble;++j) { // y
296 const auto tag_y = bubbleBasis.getDofTag(j);
297 for (ordinal_type i=0;i<cardLine;++i,++idx) { // x
298 const auto tag_x = lineBasis.getDofTag(i);
299
300 if (tag_x(0) == 0 && tag_y(0) == 1) {
301 // edge: x vert, y edge
302 tags[idx][0] = 1; // edge dof
303 tags[idx][1] = edge_y[tag_x(1)];
304 tags[idx][2] = tag_y(2); // local dof id
305 tags[idx][3] = tag_y(3); // total number of dofs in this vertex
306 } else {
307 // interior
308 tags[idx][0] = 2; // interior dof
309 tags[idx][1] = 0;
310 tags[idx][2] = intr_ndofs_per_direction + tag_x(2) + tag_x(3)*tag_y(2); // local dof id
311 tags[idx][3] = intr_ndofs; // total number of dofs in this vertex
312 }
313 }
314 }
315 INTREPID2_TEST_FOR_EXCEPTION( idx != this->basisCardinality_ , std::runtime_error,
316 ">>> ERROR (Basis_HDIV_QUAD_In_FEM): " \
317 "counted tag index is not same as cardinality." );
318 }
319
320 OrdinalTypeArray1DHost tagView(&tags[0][0], this->basisCardinality_*4);
321
322 // Basis-independent function sets tag and enum data in tagToOrdinal_ and ordinalToTag_ arrays:
323 // tags are constructed on host
324 this->setOrdinalTagData(this->tagToOrdinal_,
325 this->ordinalToTag_,
326 tagView,
327 this->basisCardinality_,
328 tagSize,
329 posScDim,
330 posScOrd,
331 posDfOrd);
332 }
333
334 // dofCoords on host and create its mirror view to device
335 Kokkos::DynRankView<typename ScalarViewType::value_type,typename DT::execution_space::array_layout,Kokkos::HostSpace>
336 dofCoordsHost("dofCoordsHost", this->basisCardinality_, spaceDim);
337
338 // dofCoeffs on host and create its mirror view to device
339 Kokkos::DynRankView<typename ScalarViewType::value_type,typename DT::execution_space::array_layout,Kokkos::HostSpace>
340 dofCoeffsHost("dofCoeffsHost", this->basisCardinality_, spaceDim);
341
342 Kokkos::DynRankView<typename ScalarViewType::value_type,DT>
343 dofCoordsLine("dofCoordsLine", cardLine, 1),
344 dofCoordsBubble("dofCoordsBubble", cardBubble, 1);
345
346 lineBasis.getDofCoords(dofCoordsLine);
347 auto dofCoordsLineHost = Kokkos::create_mirror_view(Kokkos::HostSpace(), dofCoordsLine);
348 Kokkos::deep_copy(dofCoordsLineHost, dofCoordsLine);
349
350 bubbleBasis.getDofCoords(dofCoordsBubble);
351 auto dofCoordsBubbleHost = Kokkos::create_mirror_view(Kokkos::HostSpace(), dofCoordsBubble);
352 Kokkos::deep_copy(dofCoordsBubbleHost, dofCoordsBubble);
353
354 {
355 ordinal_type idx = 0;
356
357 // x component (lineBasis(y) bubbleBasis(x))
358 for (ordinal_type j=0;j<cardLine;++j) { // y
359 for (ordinal_type i=0;i<cardBubble;++i,++idx) { // x
360 dofCoordsHost(idx,0) = dofCoordsBubbleHost(i,0);
361 dofCoordsHost(idx,1) = dofCoordsLineHost(j,0);
362 dofCoeffsHost(idx,1) = 1.0;
363 }
364 }
365
366 // y component (bubbleBasis(y) lineBasis(x))
367 for (ordinal_type j=0;j<cardBubble;++j) { // y
368 for (ordinal_type i=0;i<cardLine;++i,++idx) { // x
369 dofCoordsHost(idx,0) = dofCoordsLineHost(i,0);
370 dofCoordsHost(idx,1) = dofCoordsBubbleHost(j,0);
371 dofCoeffsHost(idx,0) = 1.0;
372 }
373 }
374 }
375
376 this->dofCoords_ = Kokkos::create_mirror_view(typename DT::memory_space(), dofCoordsHost);
377 Kokkos::deep_copy(this->dofCoords_, dofCoordsHost);
378
379 this->dofCoeffs_ = Kokkos::create_mirror_view(typename DT::memory_space(), dofCoeffsHost);
380 Kokkos::deep_copy(this->dofCoeffs_, dofCoeffsHost);
381 }
382
383 template<typename DT, typename OT, typename PT>
384 void
385 Basis_HDIV_QUAD_In_FEM<DT,OT,PT>::getScratchSpaceSize(
386 ordinal_type& perTeamSpaceSize,
387 ordinal_type& perThreadSpaceSize,
388 const PointViewType inputPoints,
389 const EOperator operatorType) const {
390 perTeamSpaceSize = 0;
391 perThreadSpaceSize = (2*this->vinvLine_.extent(0)+this->vinvBubble_.extent(0))*get_dimension_scalar(inputPoints)*sizeof(typename BasisBase::scalarType);
392 }
393
394 template<typename DT, typename OT, typename PT>
395 KOKKOS_INLINE_FUNCTION
396 void
397 Basis_HDIV_QUAD_In_FEM<DT,OT,PT>::getValues(
398 OutputViewType outputValues,
399 const PointViewType inputPoints,
400 const EOperator operatorType,
401 const typename Kokkos::TeamPolicy<typename DT::execution_space>::member_type& team_member,
402 const typename DT::execution_space::scratch_memory_space & scratchStorage,
403 const ordinal_type subcellDim,
404 const ordinal_type subcellOrdinal) const {
405
406 INTREPID2_TEST_FOR_ABORT( !((subcellDim == -1) && (subcellOrdinal == -1)),
407 ">>> ERROR: (Intrepid2::Basis_HDIV_QUAD_In_FEM::getValues), The capability of selecting subsets of basis functions has not been implemented yet.");
408
409 const int numPoints = inputPoints.extent(0);
410 using ScalarType = typename ScalarTraits<typename PointViewType::value_type>::scalar_type;
411 using WorkViewType = Kokkos::DynRankView< ScalarType,typename DT::execution_space::scratch_memory_space,Kokkos::MemoryTraits<Kokkos::Unmanaged> >;
412 ordinal_type sizePerPoint = (2*this->vinvLine_.extent(0)+this->vinvBubble_.extent(0))*get_dimension_scalar(inputPoints);
413 WorkViewType workView(scratchStorage, sizePerPoint*team_member.team_size());
414 using range_type = Kokkos::pair<ordinal_type,ordinal_type>;
415
416 switch(operatorType) {
417 case OPERATOR_VALUE:
418 Kokkos::parallel_for (Kokkos::TeamThreadRange (team_member, numPoints), [=, &vinvLine_ = this->vinvLine_, &vinvBubble_ = this->vinvBubble_] (ordinal_type& pt) {
419 auto output = Kokkos::subview( outputValues, Kokkos::ALL(), range_type (pt,pt+1), Kokkos::ALL() );
420 const auto input = Kokkos::subview( inputPoints, range_type(pt, pt+1), Kokkos::ALL() );
421 WorkViewType work(workView.data() + sizePerPoint*team_member.team_rank(), sizePerPoint);
422 Impl::Basis_HDIV_QUAD_In_FEM::Serial<OPERATOR_VALUE>::getValues( output, input, work, vinvLine_, vinvBubble_ );
423 });
424 break;
425 case OPERATOR_DIV:
426 Kokkos::parallel_for (Kokkos::TeamThreadRange (team_member, numPoints), [=, &vinvLine_ = this->vinvLine_, &vinvBubble_ = this->vinvBubble_] (ordinal_type& pt) {
427 auto output = Kokkos::subview( outputValues, Kokkos::ALL(), range_type(pt,pt+1), Kokkos::ALL() );
428 const auto input = Kokkos::subview( inputPoints, range_type(pt,pt+1), Kokkos::ALL() );
429 WorkViewType work(workView.data() + sizePerPoint*team_member.team_rank(), sizePerPoint);
430 Impl::Basis_HDIV_QUAD_In_FEM::Serial<OPERATOR_DIV>::getValues( output, input, work, vinvLine_, vinvBubble_ );
431 });
432 break;
433 default: {
434 INTREPID2_TEST_FOR_ABORT( true,
435 ">>> ERROR (Basis_HDIV_QUAD_In_FEM): getValues not implemented for this operator");
436 }
437 }
438 }
439
440} // namespace Intrepid2
441
442#endif
Intrepid2::Basis_HDIV_QUAD_In_FEM
Implementation of the default H(div)-compatible FEM basis on Quadrilateral cell
Definition Intrepid2_HDIV_QUAD_In_FEM.hpp:136
Intrepid2::Basis_HDIV_QUAD_In_FEM::Basis_HDIV_QUAD_In_FEM
Basis_HDIV_QUAD_In_FEM(const ordinal_type order, const EPointType pointType=POINTTYPE_EQUISPACED)
Constructor.
Definition Intrepid2_HDIV_QUAD_In_FEMDef.hpp:213
Intrepid2::Basis_HGRAD_LINE_Cn_FEM
Implementation of the locally H(grad)-compatible FEM basis of variable order on the [-1,...
Definition Intrepid2_HGRAD_LINE_Cn_FEM.hpp:144
Intrepid2::Basis_HGRAD_LINE_Cn_FEM::getDofCoords
virtual void getDofCoords(ScalarViewType dofCoords) const override
Returns spatial locations (coordinates) of degrees of freedom on the reference cell.
Definition Intrepid2_HGRAD_LINE_Cn_FEM.hpp:214
Intrepid2::Basis_HVOL_LINE_Cn_FEM
Implementation of the locally HVOL-compatible FEM basis of variable order on the [-1,...
Definition Intrepid2_HVOL_LINE_Cn_FEM.hpp:145
Intrepid2::Basis_HVOL_LINE_Cn_FEM::getDofCoords
virtual void getDofCoords(ScalarViewType dofCoords) const override
Returns spatial locations (coordinates) of degrees of freedom on the reference cell.
Definition Intrepid2_HVOL_LINE_Cn_FEM.hpp:205
Intrepid2::Basis::getDofTag
const OrdinalTypeArrayStride1DHost getDofTag(const ordinal_type dofOrd) const
DoF ordinal to DoF tag lookup.
Definition Intrepid2_Basis.hpp:941
Intrepid2::Basis::getCardinality
ordinal_type getCardinality() const
Returns cardinality of the basis.
Definition Intrepid2_Basis.hpp:805
Intrepid2::Parameters::MaxOrder
static constexpr ordinal_type MaxOrder
The maximum reconstruction order.
Definition Intrepid2_Types.hpp:102
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