Configuration options for the ellipsoid algorithm. More...

#include <ell_config.hpp>

Public Member Functions
	Options ()
	Default constructor.

	Options (size_t max_iters, double tol)
	Constructor with custom parameters.

Public Attributes
size_t	max_iters
	Maximum number of iterations allowed.

double	tolerance
	Convergence tolerance for stopping criteria.

bool	verbose
	Enable iteration logging.

Detailed Description

Configuration options for the ellipsoid algorithm.

This structure contains the configuration parameters for controlling the behavior of the ellipsoid algorithm, including maximum iterations and convergence tolerance.

Constructor & Destructor Documentation

◆ Options() [1/2]

Options::Options ( )

inline

Default constructor.

Initializes with default values: max_iters = 2000, tolerance = 1e-20, verbose = false.

◆ Options() [2/2]

Options::Options	(	size_t	max_iters,
		double	tol
	)

inline

Constructor with custom parameters.

Parameters

[in]	max_iters	Maximum number of iterations
[in]	tol	Convergence tolerance

Member Data Documentation

◆ max_iters

size_t Options::max_iters

Maximum number of iterations allowed.

◆ tolerance

double Options::tolerance

Convergence tolerance for stopping criteria.

◆ verbose

bool Options::verbose

Enable iteration logging.

The documentation for this struct was generated from the following file:

ellalgo/ell_config.hpp

Public Member Functions

Public Attributes