SvdTraits Concept Reference Definition The concept SvdTraits describes the linear algebra types and algorithms needed to solve in the least square sense a linear system with a singular value decomposition. Has models CGAL::Eigen_svd Concepts class Vector Concept of vector type used by the concept SvdTraits. More... class Matrix Concept of matrix type used by the concept SvdTraits. More... Types typedef unspecified_type FT The scalar type. typedef unspecified_type Vector The vector type, model of the concept SvdTraits::Vector. typedef unspecified_type Matrix The matrix type, model of the concept SvdTraits::Matrix. Operations The concept SvdTraits has a linear solver using a singular value decomposition algorithm. 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 and returns the condition number of \( M\). Member Function Documentation solve() FT SvdTraits::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 and returns the condition number of \( M\). The solution is stored in \( B\). SvdTraits Generated by 1.17.0

Definition

The concept SvdTraits describes the linear algebra types and algorithms needed to solve in the least square sense a linear system with a singular value decomposition.

Has models

CGAL::Eigen_svd

Concepts
class	Vector
	Concept of vector type used by the concept SvdTraits. More...
class	Matrix
	Concept of matrix type used by the concept SvdTraits. More...

Types
typedef unspecified_type	FT
	The scalar type.
typedef unspecified_type	Vector
	The vector type, model of the concept SvdTraits::Vector.
typedef unspecified_type	Matrix
	The matrix type, model of the concept SvdTraits::Matrix.

Operations
The concept SvdTraits has a linear solver using a singular value decomposition algorithm.
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 and returns the condition number of \( M\).

Member Function Documentation

solve()

FT SvdTraits::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 and returns the condition number of \( M\).

The solution is stored in \( B\).