Namespaces
	DivergenceFreePolynomialBasis
	Definition of the divergence-free polynomial basis.

	GMLS_LinearAlgebra

	ScalarTaylorPolynomialBasis
	Definition of scalar Taylor polynomial basis.

Classes
struct	SubviewND
	Creates 1D subviews of data from a 2D view, generally constructed with CreateNDSliceOnDeviceView. More...

class	Evaluator
	Lightweight Evaluator Helper This class is a lightweight wrapper for extracting and applying all relevant data from a GMLS class in order to transform data into a form that can be acted on by the GMLS operator, apply the action of the GMLS operator, and then transform data again (only if on a manifold) More...

struct	DefaultTag

struct	ConvertLayoutLeftToRight

struct	ConvertLayoutRightToLeft

class	GMLS
	Generalized Moving Least Squares (GMLS) More...

class	KokkosParser
	Class handling Kokkos command line arguments and returning parameters. More...

struct	XYZ

class	NeighborLists
	NeighborLists assists in accessing entries of compressed row neighborhood lists. More...

struct	SamplingFunctional

class	ParallelManager
	Parallel Manager. More...

class	RadiusResultSet
	Custom RadiusResultSet for nanoflann that uses pre-allocated space for indices and radii instead of using std::vec for std::pairs. More...

class	PointCloudSearch
	PointCloudSearch generates neighbor lists and window sizes for each target site. More...

class	Quadrature
	Quadrature. More...

struct	Extract

Enumerations
enum	TargetOperation { ScalarPointEvaluation, VectorPointEvaluation, LaplacianOfScalarPointEvaluation, VectorLaplacianPointEvaluation, GradientOfScalarPointEvaluation, GradientOfVectorPointEvaluation, DivergenceOfVectorPointEvaluation, CurlOfVectorPointEvaluation, CurlCurlOfVectorPointEvaluation, PartialXOfScalarPointEvaluation, PartialYOfScalarPointEvaluation, PartialZOfScalarPointEvaluation, ChainedStaggeredLaplacianOfScalarPointEvaluation, GaussianCurvaturePointEvaluation, ScalarFaceAverageEvaluation, COUNT =15 }
	Available target functionals. More...

enum	ReconstructionSpace { ScalarTaylorPolynomial, VectorTaylorPolynomial, VectorOfScalarClonesTaylorPolynomial, DivergenceFreeVectorTaylorPolynomial }
	Space in which to reconstruct polynomial. More...

enum	SamplingTransformType { Identity, SameForAll, DifferentEachTarget, DifferentEachNeighbor }
	Describes the SamplingFunction relationship to targets, neighbors. More...

enum	DenseSolverType { QR, SVD, LU }
	Dense solver type. More...

enum	ProblemType { STANDARD, MANIFOLD }
	Problem type, that optionally can handle manifolds. More...

enum	ConstraintType { NO_CONSTRAINT, NEUMANN_GRAD_SCALAR }
	Constraint type. More...

enum	WeightingFunctionType { Power, Gaussian, CubicSpline }
	Available weighting kernel function types. More...

enum	CoordinatesType { Ambient, Local }
	Coordinate type for input and output format of vector data on manifold problems. More...

enum	QuadratureType { INVALID, LINE, TRI, QUAD, TET, HEX }

Functions
template<typename T , typename T2 >
struct SubviewND< T, T2, enable_if_t<(T::rank< 2)> >{T _data_in;T2 _data_original_view;bool _scalar_as_vector_if_needed;SubviewND(T data_in, T2 data_original_view, bool scalar_as_vector_if_needed){_data_in=data_in;_data_original_view=data_original_view;_scalar_as_vector_if_needed=scalar_as_vector_if_needed;}auto get1DView(const int column_num) ->	decltype (Kokkos::subview(_data_in, Kokkos::ALL))
	Creates 1D subviews of data from a 1D view, generally constructed with CreateNDSliceOnDeviceView. More...

auto	get2DView (const int column_num, const int block_size) -> decltype(Kokkos::subview(_data_in, Kokkos::ALL))

T2	copyToAndReturnOriginalView ()

template<typename T >
auto	CreateNDSliceOnDeviceView (T sampling_input_data_host_or_device, bool scalar_as_vector_if_needed) -> SubviewND< decltype(Kokkos::create_mirror_view(device_memory_space(), sampling_input_data_host_or_device)), T >
	Copies data_in to the device, and then allows for access to 1D columns of data on device. More...

KOKKOS_INLINE_FUNCTION double	MetricFactor (const scratch_vector_type a_, const double h, const double u1, const double u2)
	Metric factor (det(G)) at any point in the local chart. More...

KOKKOS_INLINE_FUNCTION double	GaussianCurvature (const scratch_vector_type a_, const double h, const double u1, const double u2)
	Gaussian curvature K at any point in the local chart. More...

KOKKOS_INLINE_FUNCTION double	SurfaceCurlOfScalar (const scratch_vector_type a_, const double h, const double u1, const double u2, int x_pow, int y_pow, const int component)
	Surface curl at any point in the local chart. More...

KOKKOS_INLINE_FUNCTION int	getAdditionalAlphaSizeFromConstraint (DenseSolverType dense_solver_type, ConstraintType constraint_type)

KOKKOS_INLINE_FUNCTION int	getAdditionalCoeffSizeFromConstraintAndSpace (DenseSolverType dense_solver_type, ConstraintType constraint_type, ReconstructionSpace reconstruction_space, const int dimension)

KOKKOS_INLINE_FUNCTION int	getRHSSquareDim (DenseSolverType dense_solver_type, ConstraintType constraint_type, ReconstructionSpace reconstruction_space, const int dimension, const int M, const int N)

KOKKOS_INLINE_FUNCTION void	getPDims (DenseSolverType dense_solver_type, ConstraintType constraint_type, ReconstructionSpace reconstruction_space, const int dimension, const int M, const int N, int &out_row, int &out_col)

template<typename view_type >
NeighborLists< view_type >	CreateNeighborLists (view_type neighbor_lists, view_type number_of_neighbors_list)
	CreateNeighborLists allows for the construction of an object of type NeighborLists with template deduction. More...

template<typename view_type >
NeighborLists< view_type >	CreateNeighborLists (view_type neighbor_lists, view_type number_of_neighbors_list, view_type neighbor_lists_row_offsets)
	CreateNeighborLists allows for the construction of an object of type NeighborLists with template deduction. More...

template<typename view_type_2d , typename view_type_1d = Kokkos::View<int*, typename view_type_2d::memory_space, typename view_type_2d::memory_traits>>
NeighborLists< view_type_1d >	Convert2DToCompressedRowNeighborLists (view_type_2d neighbor_lists)
	Converts 2D neighbor lists to compressed row neighbor lists. More...

template<typename view_type >
PointCloudSearch< view_type >	CreatePointCloudSearch (view_type src_view, const local_index_type dimensions=-1, const local_index_type max_leaf=-1)
	CreatePointCloudSearch allows for the construction of an object of type PointCloudSearch with template deduction. More...

KOKKOS_INLINE_FUNCTION void	getMidpointFromCellVertices (const member_type &teamMember, scratch_vector_type midpoint_storage, scratch_matrix_right_type cell_coordinates, const int cell_num, const int dim=3)

template<typename view_type_1 , typename view_type_2 >
KOKKOS_INLINE_FUNCTION double	getAreaFromVectors (const member_type &teamMember, view_type_1 v1, view_type_2 v2)

template<typename output_memory_space , typename view_type_input_data , typename output_array_layout = typename view_type_input_data::array_layout, typename index_type = int>
Kokkos::View< int *, output_array_layout, output_memory_space >	filterViewByID (view_type_input_data input_data_host_or_device, index_type filtered_value)

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)

Variables
constexpr int	TargetOutputTensorRank []
	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...

constexpr int	ActualReconstructionSpaceRank []
	Number of actual components in the ReconstructionSpace. More...

constexpr SamplingFunctional	PointSample = make_sampling_functional(0,0,false,false,(int)Identity)
	Available sampling functionals. More...

constexpr SamplingFunctional	VectorPointSample = make_sampling_functional(1,1,false,false,(int)Identity)
	Point evaluations of the entire vector source function. More...

constexpr SamplingFunctional	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	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	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	VaryingManifoldVectorPointSample = make_sampling_functional(1,1,false,false,(int)DifferentEachNeighbor)
	For integrating polynomial dotted with normal over an edge. More...

constexpr SamplingFunctional	FaceNormalIntegralSample = make_sampling_functional(1,0,false,false,(int)Identity)
	For integrating polynomial dotted with normal over an edge. More...

constexpr SamplingFunctional	FaceNormalPointSample = make_sampling_functional(1,0,false,false,(int)Identity)
	For polynomial dotted with normal on edge. More...

constexpr SamplingFunctional	FaceTangentIntegralSample = make_sampling_functional(1,0,false,false,(int)Identity)
	For integrating polynomial dotted with tangent over an edge. More...

constexpr SamplingFunctional	FaceTangentPointSample = make_sampling_functional(1,0,false,false,(int)Identity)
	For polynomial dotted with tangent. More...

constexpr SamplingFunctional	ScalarFaceAverageSample = make_sampling_functional(0,0,false,false,(int)DifferentEachNeighbor)
	For polynomial integrated on faces. More...

Enumeration Type Documentation

enum Compadre::ConstraintType

Constraint type.

Enumerator
NO_CONSTRAINT	No constraint.
NEUMANN_GRAD_SCALAR	Neumann Gradient Scalar Type.

Definition at line 194 of file Compadre_Operators.hpp.

enum Compadre::CoordinatesType

Coordinate type for input and output format of vector data on manifold problems.

Anything without a manifold is always Ambient.

Enumerator
Ambient	a 2D manifold in 3D in ambient coordinates would have 3 components for a vector
Local	a 2D manifold in 3D in local coordinates would have 2 components for a vector

Definition at line 210 of file Compadre_Operators.hpp.

enum Compadre::DenseSolverType

Dense solver type.

Enumerator
QR	QR factorization performed on P*sqrt(w) matrix.
SVD	SVD factorization performed on P*sqrt(w) matrix.
LU	LU factorization performed on P^TWP matrix.

Definition at line 175 of file Compadre_Operators.hpp.

enum Compadre::ProblemType

Problem type, that optionally can handle manifolds.

Enumerator
STANDARD	Standard GMLS problem type.
MANIFOLD	Solve GMLS problem on a manifold (will use QR or SVD to solve the resultant GMLS problem dependent on SamplingNontrivialNullspace.

Definition at line 185 of file Compadre_Operators.hpp.

enum Compadre::QuadratureType

Enumerator
INVALID
LINE
TRI
QUAD
TET
HEX

Definition at line 11 of file Compadre_Quadrature.hpp.

enum Compadre::ReconstructionSpace

Space in which to reconstruct polynomial.

Enumerator
ScalarTaylorPolynomial	Scalar polynomial basis centered at the target site and scaled by sum of basis powers e.g. would be a member of 3rd order in 3D, where is the coordinate of the target site in 3D coordinates.
VectorTaylorPolynomial	Vector polynomial basis having # of components _dimensions, or (_dimensions-1) in the case of manifolds)
VectorOfScalarClonesTaylorPolynomial	Scalar basis reused as many times as there are components in the vector resulting in a much cheaper polynomial reconstruction.
DivergenceFreeVectorTaylorPolynomial	Divergence-free vector polynomial basis.

Definition at line 71 of file Compadre_Operators.hpp.

enum Compadre::SamplingTransformType

Describes the SamplingFunction relationship to targets, neighbors.

Enumerator
Identity	No action performed on data before GMLS target operation.
SameForAll	Each neighbor for each target all apply the same transform.
DifferentEachTarget	Each target applies a different data transform, but the same to each neighbor.
DifferentEachNeighbor	Each target applies a different transform for each neighbor.

Definition at line 94 of file Compadre_Operators.hpp.

enum Compadre::TargetOperation

Available target functionals.

Enumerator
ScalarPointEvaluation	Point evaluation of a scalar.
VectorPointEvaluation	Point evaluation of a vector (reconstructs entire vector at once, requiring a ReconstructionSpace having a sufficient number of components in the basis)
LaplacianOfScalarPointEvaluation	Point evaluation of the laplacian of a scalar (could be on a manifold or not)
VectorLaplacianPointEvaluation	Point evaluation of the laplacian of each component of a vector.
GradientOfScalarPointEvaluation	Point evaluation of the gradient of a scalar.
GradientOfVectorPointEvaluation	Point evaluation of the gradient of a vector (results in a matrix, NOT CURRENTLY IMPLEMENTED)
DivergenceOfVectorPointEvaluation	Point evaluation of the divergence of a vector (results in a scalar)
CurlOfVectorPointEvaluation	Point evaluation of the curl of a vector (results in a vector)
CurlCurlOfVectorPointEvaluation	Point evaluation of the curl of a curl of a vector (results in a vector)
PartialXOfScalarPointEvaluation	Point evaluation of the partial with respect to x of a scalar.
PartialYOfScalarPointEvaluation	Point evaluation of the partial with respect to y of a scalar.
PartialZOfScalarPointEvaluation	Point evaluation of the partial with respect to z of a scalar.
ChainedStaggeredLaplacianOfScalarPointEvaluation	Point evaluation of the chained staggered Laplacian acting on VectorTaylorPolynomial basis + StaggeredEdgeIntegralSample sampling functional.
GaussianCurvaturePointEvaluation	Point evaluation of Gaussian curvature.
ScalarFaceAverageEvaluation	Average of values in a face of a cell using quadrature 2D in 3D problem, 1D in 2D problem.
COUNT	Should be the total count of all available target functionals.

Definition at line 11 of file Compadre_Operators.hpp.

enum Compadre::WeightingFunctionType

Available weighting kernel function types.

Enumerator
Power
Gaussian
CubicSpline

Definition at line 202 of file Compadre_Operators.hpp.

Function Documentation

template<typename view_type_2d , typename view_type_1d = Kokkos::View<int*, typename view_type_2d::memory_space, typename view_type_2d::memory_traits>>

NeighborLists<view_type_1d> Compadre::Convert2DToCompressedRowNeighborLists ( view_type_2d neighbor_lists )

Converts 2D neighbor lists to compressed row neighbor lists.

Definition at line 279 of file Compadre_NeighborLists.hpp.

T2 Compadre::copyToAndReturnOriginalView ( )

Definition at line 87 of file Compadre_Evaluator.hpp.

template<typename T >

auto Compadre::CreateNDSliceOnDeviceView	(	T	sampling_input_data_host_or_device,
		bool	scalar_as_vector_if_needed
	)		-> SubviewND<decltype(Kokkos::create_mirror_view( device_memory_space(), sampling_input_data_host_or_device)), T>

Copies data_in to the device, and then allows for access to 1D columns of data on device.

Handles either 2D or 1D views as input, and they can be on the host or the device.

Definition at line 98 of file Compadre_Evaluator.hpp.

template<typename view_type >

NeighborLists<view_type> Compadre::CreateNeighborLists	(	view_type	neighbor_lists,
		view_type	number_of_neighbors_list
	)

CreateNeighborLists allows for the construction of an object of type NeighborLists with template deduction.

Definition at line 267 of file Compadre_NeighborLists.hpp.

template<typename view_type >

NeighborLists<view_type> Compadre::CreateNeighborLists	(	view_type	neighbor_lists,
		view_type	number_of_neighbors_list,
		view_type	neighbor_lists_row_offsets
	)

CreateNeighborLists allows for the construction of an object of type NeighborLists with template deduction.

Definition at line 273 of file Compadre_NeighborLists.hpp.

template<typename view_type >

PointCloudSearch<view_type> Compadre::CreatePointCloudSearch	(	view_type	src_view,
		const local_index_type	dimensions = `-1`,
		const local_index_type	max_leaf = `-1`
	)

CreatePointCloudSearch allows for the construction of an object of type PointCloudSearch with template deduction.

Examples:: GMLS Tutorial, and Manifold GMLS Tutorial.

Definition at line 804 of file Compadre_PointCloudSearch.hpp.

template<typename T , typename T2 >

struct SubviewND< T, T2, enable_if_t<(T::rank< 2)> >{T _data_in;T2 _data_original_view;bool _scalar_as_vector_if_needed;SubviewND(T data_in, T2 data_original_view, bool scalar_as_vector_if_needed){_data_in=data_in;_data_original_view=data_original_view;_scalar_as_vector_if_needed=scalar_as_vector_if_needed;}auto get1DView(const int column_num) -> Compadre::decltype ( Kokkos:: subview_data_in, Kokkos::ALL )

Creates 1D subviews of data from a 1D view, generally constructed with CreateNDSliceOnDeviceView.

Examples:: GMLS Tutorial.

Definition at line 72 of file Compadre_Evaluator.hpp.

KOKKOS_INLINE_FUNCTION void Compadre::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`
	)

Definition at line 9 of file Compadre_CreateConstraints.hpp.

template<typename output_memory_space , typename view_type_input_data , typename output_array_layout = typename view_type_input_data::array_layout, typename index_type = int>

Kokkos::View<int*, output_array_layout, output_memory_space> Compadre::filterViewByID	(	view_type_input_data	input_data_host_or_device,
		index_type	filtered_value
	)

Definition at line 47 of file Compadre_Utilities.hpp.

KOKKOS_INLINE_FUNCTION double Compadre::GaussianCurvature	(	const scratch_vector_type	a_,
		const double	h,
		const double	u1,
		const double	u2
	)

Gaussian curvature K at any point in the local chart.

Definition at line 50 of file Compadre_Manifold_Functions.hpp.

auto Compadre::get2DView	(	const int	column_num,
		const int	block_size
	)		-> decltype(Kokkos::subview(_data_in, Kokkos::ALL))

Definition at line 82 of file Compadre_Evaluator.hpp.

KOKKOS_INLINE_FUNCTION int Compadre::getAdditionalAlphaSizeFromConstraint	(	DenseSolverType	dense_solver_type,
		ConstraintType	constraint_type
	)

Definition at line 43 of file Compadre_Misc.hpp.

KOKKOS_INLINE_FUNCTION int Compadre::getAdditionalCoeffSizeFromConstraintAndSpace	(	DenseSolverType	dense_solver_type,
		ConstraintType	constraint_type,
		ReconstructionSpace	reconstruction_space,
		const int	dimension
	)

Definition at line 53 of file Compadre_Misc.hpp.

template<typename view_type_1 , typename view_type_2 >

KOKKOS_INLINE_FUNCTION double Compadre::getAreaFromVectors	(	const member_type &	teamMember,
		view_type_1	v1,
		view_type_2	v2
	)

Definition at line 24 of file Compadre_Utilities.hpp.

KOKKOS_INLINE_FUNCTION void Compadre::getMidpointFromCellVertices	(	const member_type &	teamMember,
		scratch_vector_type	midpoint_storage,
		scratch_matrix_right_type	cell_coordinates,
		const int	cell_num,
		const int	dim = `3`
	)

Definition at line 10 of file Compadre_Utilities.hpp.

KOKKOS_INLINE_FUNCTION void Compadre::getPDims	(	DenseSolverType	dense_solver_type,
		ConstraintType	constraint_type,
		ReconstructionSpace	reconstruction_space,
		const int	dimension,
		const int	M,
		const int	N,
		int &	out_row,
		int &	out_col
	)

Definition at line 83 of file Compadre_Misc.hpp.

KOKKOS_INLINE_FUNCTION int Compadre::getRHSSquareDim	(	DenseSolverType	dense_solver_type,
		ConstraintType	constraint_type,
		ReconstructionSpace	reconstruction_space,
		const int	dimension,
		const int	M,
		const int	N
	)

Definition at line 64 of file Compadre_Misc.hpp.

KOKKOS_INLINE_FUNCTION double Compadre::MetricFactor	(	const scratch_vector_type	a_,
		const double	h,
		const double	u1,
		const double	u2
	)

Metric factor (det(G)) at any point in the local chart.

Definition at line 6 of file Compadre_Manifold_Functions.hpp.

KOKKOS_INLINE_FUNCTION double Compadre::SurfaceCurlOfScalar	(	const scratch_vector_type	a_,
		const double	h,
		const double	u1,
		const double	u2,
		int	x_pow,
		int	y_pow,
		const int	component
	)

Surface curl at any point in the local chart.

Definition at line 96 of file Compadre_Manifold_Functions.hpp.

Variable Documentation

constexpr int Compadre::ActualReconstructionSpaceRank[]

Initial value:

Number of actual components in the ReconstructionSpace.

Definition at line 86 of file Compadre_Operators.hpp.

constexpr SamplingFunctional Compadre::FaceNormalIntegralSample = make_sampling_functional(1,0,false,false,(int)Identity)

For integrating polynomial dotted with normal over an edge.

Definition at line 160 of file Compadre_Operators.hpp.

constexpr SamplingFunctional Compadre::FaceNormalPointSample = make_sampling_functional(1,0,false,false,(int)Identity)

For polynomial dotted with normal on edge.

Definition at line 163 of file Compadre_Operators.hpp.

constexpr SamplingFunctional Compadre::FaceTangentIntegralSample = make_sampling_functional(1,0,false,false,(int)Identity)

For integrating polynomial dotted with tangent over an edge.

Definition at line 166 of file Compadre_Operators.hpp.

constexpr SamplingFunctional Compadre::FaceTangentPointSample = make_sampling_functional(1,0,false,false,(int)Identity)

For polynomial dotted with tangent.

Definition at line 169 of file Compadre_Operators.hpp.

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)

Examples:: Manifold GMLS Tutorial.

Definition at line 148 of file Compadre_Operators.hpp.

constexpr SamplingFunctional Compadre::PointSample = make_sampling_functional(0,0,false,false,(int)Identity)

Available sampling functionals.

Point evaluations of the scalar source function

Definition at line 141 of file Compadre_Operators.hpp.

constexpr SamplingFunctional Compadre::ScalarFaceAverageSample = make_sampling_functional(0,0,false,false,(int)DifferentEachNeighbor)

For polynomial integrated on faces.

Definition at line 172 of file Compadre_Operators.hpp.

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.

Definition at line 151 of file Compadre_Operators.hpp.

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.

Definition at line 154 of file Compadre_Operators.hpp.

constexpr int Compadre::TargetOutputTensorRank[]

Initial value:

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.

PointEvaluation VectorPointEvaluation LaplacianOfScalarPointEvaluation VectorLaplacianPointEvaluation GradientOfScalarPointEvaluation GradientOfVectorPointEvaluation DivergenceOfVectorPointEvaluation CurlOfVectorPointEvaluation CurlCurlOfVectorPointEvaluation PartialXOfScalarPointEvaluation PartialYOfScalarPointEvaluation PartialZOfScalarPointEvaluation ChainedStaggeredLaplacianOfScalarPointEvaluation GaussianCurvaturePointEvaluation ScalarFaceAverageEvaluation

Definition at line 52 of file Compadre_Operators.hpp.

constexpr SamplingFunctional Compadre::VaryingManifoldVectorPointSample = make_sampling_functional(1,1,false,false,(int)DifferentEachNeighbor)

For integrating polynomial dotted with normal over an edge.

Definition at line 157 of file Compadre_Operators.hpp.

constexpr SamplingFunctional Compadre::VectorPointSample = make_sampling_functional(1,1,false,false,(int)Identity)

Point evaluations of the entire vector source function.

Examples:: GMLS Tutorial.

Definition at line 144 of file Compadre_Operators.hpp.

Namespaces

Classes

Enumerations

Functions

Variables

Enumeration Type Documentation

Function Documentation

Variable Documentation