molpro::linalg::itsolv::detail::orthogonalised_subspace< value_type > Struct Template Reference

A generalised eigenproblem reduced to a standard one by symmetric orthogonalisation of the metric. More...

#include <helper-implementation.h>

Detailed Description

template<typename value_type>
struct molpro::linalg::itsolv::detail::orthogonalised_subspace< value_type >

A generalised eigenproblem reduced to a standard one by symmetric orthogonalisation of the metric.

Public Types
using	matrix_type = Eigen::Matrix< value_type, Eigen::Dynamic, Eigen::Dynamic, Eigen::ColMajor >

Public Attributes
matrix_type	S
	the metric, column-major More...
matrix_type	transformation
	X, of dimension x rank, with X^dagger S X = I. More...
matrix_type	Hbar
	X^dagger H X, of rank x rank. More...
int	rank = 0
	the number of directions of the metric that were kept More...

Member Typedef Documentation

matrix_type

template<typename value_type >

using molpro::linalg::itsolv::detail::orthogonalised_subspace< value_type >::matrix_type = Eigen::Matrix<value_type, Eigen::Dynamic, Eigen::Dynamic, Eigen::ColMajor>

Member Data Documentation

Hbar

template<typename value_type >

matrix_type molpro::linalg::itsolv::detail::orthogonalised_subspace< value_type >::Hbar

X^dagger H X, of rank x rank.

rank

template<typename value_type >

int molpro::linalg::itsolv::detail::orthogonalised_subspace< value_type >::rank = 0

the number of directions of the metric that were kept

S

template<typename value_type >

matrix_type molpro::linalg::itsolv::detail::orthogonalised_subspace< value_type >::S

the metric, column-major

transformation

template<typename value_type >

matrix_type molpro::linalg::itsolv::detail::orthogonalised_subspace< value_type >::transformation

X, of dimension x rank, with X^dagger S X = I.