Compadre_Operators.hpp File Reference

#include "Compadre_Typedefs.hpp"

Go to the source code of this file.

Classes
struct	Compadre::SamplingFunctional

Namespaces
	Compadre

Macros
#define	make_sampling_functional(input, output, targets, nontrivial, transform)   SamplingFunctional(input, output, targets, nontrivial, transform, __COUNTER__)

Enumerations
enum	Compadre::TargetOperation {   Compadre::ScalarPointEvaluation , Compadre::VectorPointEvaluation , Compadre::LaplacianOfScalarPointEvaluation , Compadre::VectorLaplacianPointEvaluation ,   Compadre::GradientOfScalarPointEvaluation , Compadre::GradientOfVectorPointEvaluation , Compadre::DivergenceOfVectorPointEvaluation , Compadre::CurlOfVectorPointEvaluation ,   Compadre::CurlCurlOfVectorPointEvaluation , Compadre::PartialXOfScalarPointEvaluation , Compadre::PartialYOfScalarPointEvaluation , Compadre::PartialZOfScalarPointEvaluation ,   Compadre::ChainedStaggeredLaplacianOfScalarPointEvaluation , Compadre::GaussianCurvaturePointEvaluation , Compadre::CellAverageEvaluation , Compadre::CellIntegralEvaluation ,   Compadre::FaceNormalAverageEvaluation , Compadre::FaceNormalIntegralEvaluation , Compadre::EdgeTangentAverageEvaluation , Compadre::EdgeTangentIntegralEvaluation ,   Compadre::COUNT =20 }
	Available target functionals. More...
enum	Compadre::ReconstructionSpace {   Compadre::ScalarTaylorPolynomial , Compadre::VectorTaylorPolynomial , Compadre::VectorOfScalarClonesTaylorPolynomial , Compadre::DivergenceFreeVectorTaylorPolynomial ,   Compadre::BernsteinPolynomial }
	Space in which to reconstruct polynomial. More...
enum	Compadre::SamplingTransformType { Compadre::Identity , Compadre::SameForAll , Compadre::DifferentEachTarget , Compadre::DifferentEachNeighbor }
	Describes the SamplingFunction relationship to targets, neighbors. More...
enum	Compadre::DenseSolverType { Compadre::QR , Compadre::LU }
	Dense solver type. More...
enum	Compadre::ProblemType { Compadre::STANDARD , Compadre::MANIFOLD }
	Problem type, that optionally can handle manifolds. More...
enum	Compadre::ConstraintType { Compadre::NO_CONSTRAINT , Compadre::NEUMANN_GRAD_SCALAR }
	Constraint type. More...
enum	Compadre::WeightingFunctionType {   Compadre::Power , Compadre::Gaussian , Compadre::CubicSpline , Compadre::Cosine ,   Compadre::Sigmoid }
	Available weighting kernel function types. More...
enum	Compadre::CoordinatesType { Compadre::Ambient , Compadre::Local }
	Coordinate type for input and output format of vector data on manifold problems. More...

Functions
KOKKOS_INLINE_FUNCTION int	Compadre::getTargetOutputTensorRank (const int &index)
	Rank of target functional output for each TargetOperation Rank of target functional input for each TargetOperation is based on the output rank of the SamplingFunctional used on the polynomial basis. More...
KOKKOS_INLINE_FUNCTION int	Compadre::getActualReconstructionSpaceRank (const int &index)
	Number of actual components in the ReconstructionSpace. More...

Variables
constexpr SamplingFunctional	Compadre::PointSample = make_sampling_functional(0,0,false,false,(int)Identity)
	Available sampling functionals. More...
constexpr SamplingFunctional	Compadre::VectorPointSample = make_sampling_functional(1,1,false,false,(int)Identity)
	Point evaluations of the entire vector source function. More...
constexpr SamplingFunctional	Compadre::ManifoldVectorPointSample = make_sampling_functional(1,1,false,false,(int)DifferentEachTarget)
	Point evaluations of the entire vector source function (but on a manifold, so it includes a transform into local coordinates) More...
constexpr SamplingFunctional	Compadre::StaggeredEdgeAnalyticGradientIntegralSample = make_sampling_functional(0,0,true,true,(int)SameForAll)
	Analytical integral of a gradient source vector is just a difference of the scalar source at neighbor and target. More...
constexpr SamplingFunctional	Compadre::StaggeredEdgeIntegralSample = make_sampling_functional(1,0,true,true,(int)DifferentEachNeighbor)
	Samples consist of the result of integrals of a vector dotted with the tangent along edges between neighbor and target. More...
constexpr SamplingFunctional	Compadre::VaryingManifoldVectorPointSample = make_sampling_functional(1,1,false,false,(int)DifferentEachNeighbor)
	For integrating polynomial dotted with normal over an edge. More...
constexpr SamplingFunctional	Compadre::FaceNormalIntegralSample = make_sampling_functional(1,0,false,false,(int)Identity)
	For integrating polynomial dotted with normal over an edge. More...
constexpr SamplingFunctional	Compadre::FaceNormalAverageSample = make_sampling_functional(1,0,false,false,(int)Identity)
	For polynomial dotted with normal on edge. More...
constexpr SamplingFunctional	Compadre::EdgeTangentIntegralSample = make_sampling_functional(1,0,false,false,(int)Identity)
	For integrating polynomial dotted with tangent over an edge. More...
constexpr SamplingFunctional	Compadre::EdgeTangentAverageSample = make_sampling_functional(1,0,false,false,(int)Identity)
	For polynomial dotted with tangent. More...
constexpr SamplingFunctional	Compadre::CellAverageSample = make_sampling_functional(0,0,false,false,(int)DifferentEachNeighbor)
	For polynomial integrated on cells. More...
constexpr SamplingFunctional	Compadre::CellIntegralSample = make_sampling_functional(0,0,false,false,(int)DifferentEachNeighbor)
	For polynomial integrated on cells. More...

Macro Definition Documentation

make_sampling_functional

#define make_sampling_functional	(		input,
			output,
			targets,
			nontrivial,
			transform
	)		SamplingFunctional(input, output, targets, nontrivial, transform, __COUNTER__)

Definition at line 6 of file Compadre_Operators.hpp.