| derived() const | nanoflann::KDTreeEigenMatrixAdaptor< MatrixType, DIM, Distance > | inline |
| derived() | nanoflann::KDTreeEigenMatrixAdaptor< MatrixType, DIM, Distance > | inline |
| index | nanoflann::KDTreeEigenMatrixAdaptor< MatrixType, DIM, Distance > | |
| index_t typedef | nanoflann::KDTreeEigenMatrixAdaptor< MatrixType, DIM, Distance > | |
| IndexType typedef | nanoflann::KDTreeEigenMatrixAdaptor< MatrixType, DIM, Distance > | |
| kdtree_get_bbox(BBOX &) const | nanoflann::KDTreeEigenMatrixAdaptor< MatrixType, DIM, Distance > | inline |
| kdtree_get_point_count() const | nanoflann::KDTreeEigenMatrixAdaptor< MatrixType, DIM, Distance > | inline |
| kdtree_get_pt(const IndexType idx, size_t dim) const | nanoflann::KDTreeEigenMatrixAdaptor< MatrixType, DIM, Distance > | inline |
| KDTreeEigenMatrixAdaptor(const size_t dimensionality, const std::reference_wrapper< const MatrixType > &mat, const int leaf_max_size=10) | nanoflann::KDTreeEigenMatrixAdaptor< MatrixType, DIM, Distance > | inline |
| KDTreeEigenMatrixAdaptor(const self_t &)=delete | nanoflann::KDTreeEigenMatrixAdaptor< MatrixType, DIM, Distance > | |
| m_data_matrix | nanoflann::KDTreeEigenMatrixAdaptor< MatrixType, DIM, Distance > | |
| metric_t typedef | nanoflann::KDTreeEigenMatrixAdaptor< MatrixType, DIM, Distance > | |
| num_t typedef | nanoflann::KDTreeEigenMatrixAdaptor< MatrixType, DIM, Distance > | |
| query(const num_t *query_point, const size_t num_closest, IndexType *out_indices, num_t *out_distances_sq, const int=10) const | nanoflann::KDTreeEigenMatrixAdaptor< MatrixType, DIM, Distance > | inline |
| self_t typedef | nanoflann::KDTreeEigenMatrixAdaptor< MatrixType, DIM, Distance > | |
| ~KDTreeEigenMatrixAdaptor() | nanoflann::KDTreeEigenMatrixAdaptor< MatrixType, DIM, Distance > | inline |