#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 thirdpartyEigen.

Is Model Of:: SvdTraits

Examples: Solver_interface/singular_value_decomposition.cpp.

Static Public Member Functions
static FT	solve (const Matrix &M, Vector &B)
	Solves the system \( MX=B\) (in the least square sense if \( M\) is not square) using a singular value decomposition.The solution is stored in \( B\). More...

Types
typedef double	FT

typedef Eigen_vector< FT >	Vector

typedef Eigen_matrix< FT >	Matrix

Member Typedef Documentation

◆ FT

typedef double CGAL::Eigen_svd::FT

◆ Matrix

typedef Eigen_matrix<FT> CGAL::Eigen_svd::Matrix

◆ Vector

typedef Eigen_vector<FT> CGAL::Eigen_svd::Vector

Member Function Documentation

◆ solve()

static FT CGAL::Eigen_svd::solve	(	const Matrix &	M,
		Vector &	B
	)

static

Solves the system \( MX=B\) (in the least square sense if \( M\) is not square) using a singular value decomposition.The solution is stored in \( B\).

Returns: the condition number of \( M\)