Compadre  1.5.7
Compadre_CreateConstraints.hpp
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1 #ifndef _CREATE_CONSTRAINTS_
2 #define _CREATE_CONSTRAINTS_
3 
4 #include "Compadre_GMLS.hpp"
5 
6 namespace Compadre {
7 
8 KOKKOS_INLINE_FUNCTION
9 void evaluateConstraints(scratch_matrix_right_type M, scratch_matrix_right_type PsqrtW, const ConstraintType constraint_type, const ReconstructionSpace reconstruction_space, const int NP, const double cutoff_p, const int dimension, const int num_neighbors = 0, scratch_matrix_right_type* T = NULL) {
10  if (constraint_type == ConstraintType::NEUMANN_GRAD_SCALAR) {
11  if (reconstruction_space == ReconstructionSpace::ScalarTaylorPolynomial
13  // Fill in the bottom right entry for PsqrtW
14  PsqrtW(num_neighbors, PsqrtW.extent(1)-1) = 1.0;
15 
16  // Fill in the last column and row of M
17  for (int i=0; i<dimension; ++i) {
18  M(M.extent(0)-1, i+1) = (1.0/cutoff_p)*(*T)(dimension-1,i);
19  M(i+1, M.extent(0)-1) = (1.0/cutoff_p)*(*T)(dimension-1,i);
20  }
21  } else if (reconstruction_space == ReconstructionSpace::VectorTaylorPolynomial) {
22  // Fill in the bottom right of PsqrtW
23  for (int i=0; i<dimension; ++i) {
24  PsqrtW(num_neighbors, PsqrtW.extent(1) - 1 - i) = 1.0;
25  }
26 
27  // Fill in the last column and row of M
28  for (int i=0; i<dimension; ++i) {
29  for (int j=0; j<dimension; ++j) {
30  M(i*NP, M.extent(0) - 1 - j) = (*T)(dimension-1,i);
31  M(M.extent(0) - 1 - j, i*NP) = (*T)(dimension-1,i);
32  }
33  }
34  }
35  }
36 }
37 
38 }
39 #endif
Kokkos::View< double **, layout_right, Kokkos::MemoryTraits< Kokkos::Unmanaged > > scratch_matrix_right_type
ConstraintType
Constraint type.
@ NEUMANN_GRAD_SCALAR
Neumann Gradient Scalar Type.
KOKKOS_INLINE_FUNCTION void evaluateConstraints(scratch_matrix_right_type M, scratch_matrix_right_type PsqrtW, const ConstraintType constraint_type, const ReconstructionSpace reconstruction_space, const int NP, const double cutoff_p, const int dimension, const int num_neighbors=0, scratch_matrix_right_type *T=NULL)
ReconstructionSpace
Space in which to reconstruct polynomial.
@ VectorTaylorPolynomial
Vector polynomial basis having # of components _dimensions, or (_dimensions-1) in the case of manifol...
@ ScalarTaylorPolynomial
Scalar polynomial basis centered at the target site and scaled by sum of basis powers e....
@ VectorOfScalarClonesTaylorPolynomial
Scalar basis reused as many times as there are components in the vector resulting in a much cheaper p...