preCICE v3.2.0
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RadialBasisFctSolver.hpp File Reference
#include <Eigen/Cholesky>
#include <Eigen/QR>
#include <Eigen/SVD>
#include <boost/range/adaptor/indexed.hpp>
#include <boost/range/irange.hpp>
#include <numeric>
#include <type_traits>
#include "mapping/MathHelper.hpp"
#include "mapping/config/MappingConfigurationTypes.hpp"
#include "mesh/Mesh.hpp"
#include "precice/impl/Types.hpp"
#include "profiling/Event.hpp"
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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)
Eigen::VectorXd precice::mapping::computeInverseDiagonal (Eigen::LLT< Eigen::MatrixXd > decMatrixC)
Eigen::VectorXd precice::mapping::computeInverseDiagonal (Eigen::ColPivHouseholderQR< Eigen::MatrixXd > decMatrixC)