\( \newcommand{\E}{\mathrm{E}} \) \( \newcommand{\A}{\mathrm{A}} \) \( \newcommand{\R}{\mathrm{R}} \) \( \newcommand{\N}{\mathrm{N}} \) \( \newcommand{\Q}{\mathrm{Q}} \) \( \newcommand{\Z}{\mathrm{Z}} \) \( \def\ccSum #1#2#3{ \sum_{#1}^{#2}{#3} } \def\ccProd #1#2#3{ \sum_{#1}^{#2}{#3} }\)
CGAL 4.11.2 - CGAL and Solvers
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CGAL::Eigen_svd Class Reference
CGAL and Solvers Reference

#include <CGAL/Eigen_svd.h>

Definition

The class Eigen_svd provides an algorithm to solve in the least square sense a linear system with a singular value decomposition using Eigen.

Is Model Of:
SvdTraits
Examples:
Solver_interface/singular_value_decomposition.cpp.

Public Types

typedef double FT
 
typedef Eigen_vector< FT > Vector
 
typedef Eigen_matrix< FT > Matrix