Inheritance diagram for Feel::EIMBase< T >:

Public Types
Typedefs
typedef T	value_type
typedef Eigen::Matrix< double, Dynamic, Dynamic >	matrix_type
typedef Eigen::Matrix< double, Dynamic, 1 >	vector_type
Public Member Functions
	EIMBase (std::string const &__name, double __tol=1e-8)
	EIMBase (EIMBase const &__bbf)
Accessors
size_t	nbDOF () const
matrix_type const &	q () const
Eigen::ColXpr	qm (size_t __m) const
value_type	qxm (size_t __i, size_t __m) const
size_t	Mmax () const
Protected Attributes
bool	_M_is_read
bool	_M_is_written
std::string	_M_name
size_t	_M_M
size_t	_M_M_max
bool	_M_offline_done
double	_M_tol
matrix_type	_M_q
matrix_type	_M_B
std::vector< coord_type >	_M_t
std::vector< size_t >	_M_index_max
Methods
class	boost::serialization::access
void	orthonormalize (matrix_type &)
template<class Archive >
void	serialize (Archive &__ar, const unsigned int __version)
virtual void	offline ()
bool	isOfflineDone () const
virtual void	beta (vector_type &__beta, size_t M) const
	Online stage of the coefficient-function interpolation.
virtual void	beta (vector_type &__beta, value_type &__err, size_t M) const
void	blackbox_q (vector_type &__g, int __m)
void	blackbox (vector_type &__g)

template<typename T>
class Feel::EIMBase< T >

Member Function Documentation

template<typename T >

virtual void Feel::EIMBase< T >::beta	(	vector_type &	__beta,
		size_t	M
	)		const `[inline, virtual]`

Online stage of the coefficient-function interpolation.

Our coefficient function approximation is the interpolant of $g$ over $T_M$ : $g_M (x ; \mu) = \sum^M_{m = 1} \beta_m (\mu) \: q_m (x)$ , where $\sum^M_{j = 1} \: B^M_{i \: j} \: \beta_j (\mu) = g (t_i ; \mu)$ , $1 \leq i \leq M$ . We define $\varepsilon_M (\mu) \equiv \| g (\: \cdot \: ; \mu) - g_M (\: \cdot \: ; \mu)\|_{L^{\infty} (\Omega)}$ .