Classes
class	Exponentiator
	Calculation engine for Lanczos exponentiation. More...
struct	VectorRandomInitializer
	Template class to implement random vector initializer. More...
struct	VectorRandomInitializer< std::complex< T > >
class	LambdaLanczos
	Calculation engine for Lanczos algorithm. More...

Functions
template<typename T, typename LT>
auto	compute_eigenvectors (const std::vector< T > &alpha, const std::vector< T > &beta, const std::vector< std::vector< LT > > &u, const bool find_maximum, const size_t num_of_eigenvalues) -> std::vector< std::vector< decltype(T()+LT())> >
	Computes the eigenvectors from Krylov subspace information.

Function Documentation

◆ compute_eigenvectors()

template<typename T, typename LT>

auto lambda_lanczos::compute_eigenvectors	(	const std::vector< T > &	alpha,
		const std::vector< T > &	beta,
		const std::vector< std::vector< LT > > &	u,
		const bool	find_maximum,
		const size_t	num_of_eigenvalues )->std::vector< std::vector< decltype(T()+LT())> >

inline

Computes the eigenvectors from Krylov subspace information.

Parameters

[in]	alpha	Diagonal elements of the tridiagonal matrix.
[in]	beta	Sub-diagonal elements of the tridiagonal matrix.
[in]	u	Lanczos vectors.
[in]	find_maximum	True to calculate maximum eigenvalues. False to calculate minimum eigenvalues.
[in]	num_of_eigenvalues	Number of eigenvalues to be calculated.