#include <Eigen/Cholesky>
#include <Eigen/QR>
#include <Eigen/SVD>
#include <boost/range/adaptor/indexed.hpp>
#include <boost/range/irange.hpp>
#include <numeric>
#include "mapping/config/MappingConfigurationTypes.hpp"
#include "mesh/Mesh.hpp"
#include "precice/impl/Types.hpp"

Include dependency graph for RadialBasisFctSolver.hpp:

This graph shows which files directly or indirectly include this file:

Classes
class	precice::mapping::RadialBasisFctSolver< RADIAL_BASIS_FUNCTION_T >

Namespaces
namespace	precice
	Main namespace of the precice library.

namespace	precice::mapping
	contains data mapping from points to meshes.

Functions
double	precice::mapping::computeSquaredDifference (const std::array< double, 3 > &u, std::array< double, 3 > v, const std::array< bool, 3 > &activeAxis={{true, true, true}})
	Deletes all dead directions from fullVector and returns a vector of reduced dimensionality.

template<typename IndexContainer >
constexpr void	precice::mapping::reduceActiveAxis (const mesh::Mesh &mesh, const IndexContainer &IDs, std::array< bool, 3 > &axis)
	given the active axis, computes sets the axis with the lowest spatial expansion to dead

template<typename IndexContainer >
void	precice::mapping::fillPolynomialEntries (Eigen::MatrixXd &matrix, const mesh::Mesh &mesh, const IndexContainer &IDs, Eigen::Index startIndex, std::array< bool, 3 > activeAxis)

template<typename RADIAL_BASIS_FUNCTION_T , typename IndexContainer >
Eigen::MatrixXd	precice::mapping::buildMatrixCLU (RADIAL_BASIS_FUNCTION_T basisFunction, const mesh::Mesh &inputMesh, const IndexContainer &inputIDs, std::array< bool, 3 > activeAxis, Polynomial polynomial)

template<typename RADIAL_BASIS_FUNCTION_T , typename IndexContainer >
Eigen::MatrixXd	precice::mapping::buildMatrixA (RADIAL_BASIS_FUNCTION_T basisFunction, const mesh::Mesh &inputMesh, const IndexContainer &inputIDs, const mesh::Mesh &outputMesh, const IndexContainer outputIDs, std::array< bool, 3 > activeAxis, Polynomial polynomial)

Classes

Namespaces

Functions