CGAL::Eigen_svd Class 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.

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 \( B\).

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

Member Function Documentation

solve()

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 \( M\)