Compute squared matrix norm $\|A\|^2 = A\negthinspace : \negthinspace A = \mathrm{tr}(A^TA) = \sum_{i,j} A_{ij}^2.$ . More...

Inheritance diagram for RFFGen::LinearAlgebra::SquaredEuclideanNorm< Matrix, class >:

Public Member Functions
	SquaredEuclideanNorm ()=default
	Default constructor.

	SquaredEuclideanNorm (const Matrix &A)
	Constructor. More...

void	update (const Matrix &A)
	Reset matrix to compute squared norm from.

auto	operator() () const noexcept
	Squared matrix norm. Convenient access to d0().

auto	d0 () const noexcept
	Squared matrix norm.

template<int >
auto	d1 (const Matrix &dA) const
	First directional derivative.

template<int , int >
auto	d2 (const Matrix &dA1, const Matrix &dA2) const
	Second directional derivative.

Public Member Functions inherited from RFFGen::Base
template<class Arg >
void	update (const Arg &)
	Update on changed input.

template<int id, class Arg >
void	updateVariable (const Arg &)
	Empty variables.

Detailed Description

Compute squared matrix norm $\|A\|^2 = A\negthinspace : \negthinspace A = \mathrm{tr}(A^TA) = \sum_{i,j} A_{ij}^2.$ .

Constructor & Destructor Documentation

template<class Matrix , class = Concepts::MatrixConceptCheck<Matrix>>

RFFGen::LinearAlgebra::SquaredEuclideanNorm< Matrix, class >::SquaredEuclideanNorm ( const Matrix & A )

inlineexplicit

Constructor.

Parameters

A	matrix to compute squared norm from.

The documentation for this struct was generated from the following file: