Given a linear block matrix operator and appropriate boundary conditions, this class will produce an Eigen matrix representing the discretized version. The implementation will naturally involve column pivoting, and the pivot matrix is also stored. More...

#include <sis.hpp>

Inheritance diagram for sis::Discretize< T >:

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Collaboration diagram for sis::Discretize< T >:

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Public Member Functions
Eigen::Matrix< T, Eigen::Dynamic, Eigen::Dynamic >	operator() (const LinopMat< T > &Lmat_, const BcMat< T > &bc_)

Eigen::Matrix< T, Eigen::Dynamic, Eigen::Dynamic >	operator() (const LinopMat< T > &Lmat)
	Discretization based on a previous call with Boundary conditions. Then other LinopMats can be discretized based on a previous Lbc called with operator()(const LinopMat<T> &Lmat, const BcMat<T> &bc). More...

Public Member Functions inherited from sis::MatGen< T >
	MatGen ()
	Null Constructor. More...

	MatGen (int n_)
	Constructor. More...

void	compute (int n_)
	Call this to generate integration matrices for highest order n. More...

void	clear ()

Public Attributes
Eigen::Matrix< T, Eigen::Dynamic, Eigen::Dynamic >	P

Eigen::Matrix< T, Eigen::Dynamic, Eigen::Dynamic >	subs_mat

Eigen::Matrix< T, Eigen::Dynamic, Eigen::Dynamic >	mat_temp

std::vector< int >	highest_each_column

int	num_bc

Public Attributes inherited from sis::MatGen< T >
std::vector< Eigen::Matrix< T, Eigen::Dynamic, Eigen::Dynamic > >	mats

std::vector< Eigen::Matrix< T, Eigen::Dynamic, Eigen::Dynamic > >	mats2

std::vector< Eigen::Matrix< T, Eigen::Dynamic, Eigen::Dynamic > >	con_mats

Detailed Description

template<class T>
class sis::Discretize< T >

Given a linear block matrix operator and appropriate boundary conditions, this class will produce an Eigen matrix representing the discretized version. The implementation will naturally involve column pivoting, and the pivot matrix is also stored.

Definition at line 532 of file sis.hpp.

Member Function Documentation

◆ operator()() [1/2]

template<class T >

Eigen::Matrix<T, Eigen::Dynamic, Eigen::Dynamic> sis::Discretize< T >::operator()	(	const LinopMat< T > &	Lmat_,
		const BcMat< T > &	bc_
	)

inline

Generates the Eigen matrix. Note that columns are pivoted according to P. Lmat is the operator, bc is the boundary condition and n_ is the highest order.

Definition at line 9665 of file sis.hpp.

References sis::MatGen< T >::compute(), sis::Discretize< T >::highest_each_column, sis::Discretize< T >::mat_temp, sis::N, sis::Discretize< T >::num_bc, sis::Discretize< T >::P, and sis::Discretize< T >::subs_mat.

◆ operator()() [2/2]

template<class T >

Eigen::Matrix<T, Eigen::Dynamic, Eigen::Dynamic> sis::Discretize< T >::operator() ( const LinopMat< T > & Lmat )

inline

Discretization based on a previous call with Boundary conditions. Then other LinopMats can be discretized based on a previous Lbc called with operator()(const LinopMat<T> &Lmat, const BcMat<T> &bc).

Definition at line 9802 of file sis.hpp.

References sis::Discretize< T >::highest_each_column, sis::N, sis::Discretize< T >::num_bc, sis::Discretize< T >::P, and sis::Discretize< T >::subs_mat.