This class solves an (lhs + lambda*I) * alpha = b system of linear equations after the offline and online phases are done. More...

#include <DBMatDMSOrthoAdapt.hpp>

Inheritance diagram for sgpp::datadriven::DBMatDMSOrthoAdapt:

Public Member Functions
	DBMatDMSOrthoAdapt ()=default
	Constructor. More...

void	solve (sgpp::base::DataMatrix &T_inv, sgpp::base::DataMatrix &Q, sgpp::base::DataMatrix &B, sgpp::base::DataVector &b, sgpp::base::DataVector &alpha)
	Solves the system after the corresponding offline and online objects are done with decomposing and adaptivity, resp. More...

Public Member Functions inherited from sgpp::datadriven::DBMatDecompMatrixSolver
	DBMatDecompMatrixSolver ()

Public Member Functions inherited from sgpp::solver::SGSolver
double	getEpsilon ()
	gets the the epsilon, that is used in the SGSolver More...

size_t	getNumberIterations ()
	function that returns the number of needed solve steps More...

double	getResiduum ()
	function the returns the residuum (current or final), error of the solver More...

void	setEpsilon (double eps)
	resets the epsilon, that is used in the SGSolver More...

void	setMaxIterations (size_t nIterations)
	resets the number of maximum iterations More...

	SGSolver (size_t nMaximumIterations, double epsilon)
	Std-Constructor. More...

virtual	~SGSolver ()
	Std-Destructor. More...

Additional Inherited Members
Protected Attributes inherited from sgpp::solver::SGSolver
double	myEpsilon
	epsilon needed in the, e.g. final error in the iterative solver, or a timestep More...

size_t	nIterations
	Number of Iterations needed for the solve. More...

size_t	nMaxIterations
	Number of maximum iterations for cg. More...

double	residuum
	residuum More...

Detailed Description

This class solves an (lhs + lambda*I) * alpha = b system of linear equations after the offline and online phases are done.

Constructor & Destructor Documentation

sgpp::datadriven::DBMatDMSOrthoAdapt::DBMatDMSOrthoAdapt ( )

default

Constructor.

void sgpp::datadriven::DBMatDMSOrthoAdapt::solve	(	sgpp::base::DataMatrix &	T_inv,
		sgpp::base::DataMatrix &	Q,
		sgpp::base::DataMatrix &	B,
		sgpp::base::DataVector &	b,
		sgpp::base::DataVector &	alpha
	)

Solves the system after the corresponding offline and online objects are done with decomposing and adaptivity, resp.

The computation done: alpha = Q*T_inv*Q^t*b + B*b

Parameters

T_inv	Inverse of a tridiagonal matrix
Q	Orthogonal matrix, part of hessenberg_decomp of the lhs matrix
B	Storage of the online objects refined/coarsened points
b	The right side of the system
alpha	The solution vector of the system, computed values go there

The documentation for this class was generated from the following files: