CGAL 4.13.1 - CGAL and Solvers
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CGAL::Eigen_solver_traits
CGAL::Eigen_diagonalize_traits
CGAL::Eigen_vector
CGAL::Eigen_matrix
CGAL::Eigen_sparse_matrix
CGAL::Eigen_sparse_symmetric_matrix
CGAL::Eigen_svd
CGAL::Lapack_vector
CGAL::Lapack_matrix
CGAL::Lapack_svd
Modules | |
Concepts | |
Classes | |
class | CGAL::Eigen_diagonalize_traits< FT, dim > |
The class Eigen_diagonalize_traits provides an interface to the diagonalization of covariance matrices of Eigen. More... | |
class | CGAL::Eigen_vector< T > |
The class Eigen_vector is a wrapper around Eigen vector type , which is a simple array of numbers. More... | |
struct | CGAL::Eigen_sparse_matrix< T > |
The class Eigen_sparse_matrix is a wrapper around Eigen matrix type Eigen::SparseMatrix that represents general matrices, be they symmetric or not. More... | |
struct | CGAL::Eigen_sparse_symmetric_matrix< T > |
The class Eigen_sparse_symmetric_matrix is a wrapper around Eigen matrix type Eigen::SparseMatrix More... | |
struct | CGAL::Eigen_matrix< FT > |
The class Eigen_matrix is a wrapper around Eigen matrix type Eigen::Matrix . More... | |
class | CGAL::Eigen_svd |
The class Eigen_svd provides an algorithm to solve in the least square sense a linear system with a singular value decomposition using Eigen. More... | |
class | CGAL::Lapack_vector |
A matrix class to be used in the class Lapack_svd . More... | |
class | CGAL::Lapack_matrix |
In CLAPACK, matrices are one-dimensional arrays and elements are column-major ordered. More... | |
class | CGAL::Lapack_svd |
This class is a wrapper to the singular value decomposition algorithm of LAPACK. More... | |
class | CGAL::Eigen_solver_traits< EigenSolverT > |
The class Eigen_solver_traits provides an interface to the sparse solvers of Eigen. More... | |