A class for generating samples from a weighted spherical centroidal Voronoi tessellation. More...

#include <wscvt_sampler.hpp>

Public Member Functions
	WSCVTSampler (const WSCVTSampler &)=delete
	Delete copy constructor.

WSCVTSampler &	operator= (const WSCVTSampler &)=delete
	Delete copy assignment operator.

VecXT< Vec3d >	Get (int num_samples, bool new_random=false)
	Generate a specified number of sample points.

Static Public Member Functions
static WSCVTSampler &	GetInstance ()
	Get a reference to the singleton WSCVTSampler instance.

Public Attributes
int	max_iters {10000}
	The maximum number of iterations to perform during tessellation (default: 10000).

double	tol {1.0e-4}
	The convergence tolerance for tessellation (default: 1.0e-4).

Detailed Description

A class for generating samples from a weighted spherical centroidal Voronoi tessellation.

This class provides methods for generating random sample points from a weighted spherical centroidal Voronoi tessellation.

Constructor & Destructor Documentation

◆ WSCVTSampler()

netdem::WSCVTSampler::WSCVTSampler ( const WSCVTSampler & )

delete

Delete copy constructor.

Member Function Documentation

◆ Get()

VecXT< Vec3d > netdem::WSCVTSampler::Get	(	int	num_samples,
		bool	new_random = false )

inline

Generate a specified number of sample points.

This method generates a specified number of random sample points using a weighted spherical centroidal Voronoi tessellation. The optional boolean argument can be used to force the creation of a new set of samples rather than reusing an existing set.

Parameters

num_samples	The number of sample points to generate.
new_random	A boolean value indicating whether to force the creation of a new set of samples (default: false).

Returns: A vector of generated sample points.

◆ GetInstance()

static WSCVTSampler & netdem::WSCVTSampler::GetInstance ( )

inlinestatic

Get a reference to the singleton WSCVTSampler instance.

This static method returns a reference to the singleton instance of the WSCVTSampler class.

Returns: A reference to the singleton instance of the WSCVTSampler class.

◆ operator=()

WSCVTSampler & netdem::WSCVTSampler::operator= ( const WSCVTSampler & )

delete

Delete copy assignment operator.

Member Data Documentation

◆ max_iters

int netdem::WSCVTSampler::max_iters {10000}

The maximum number of iterations to perform during tessellation (default: 10000).

◆ tol

double netdem::WSCVTSampler::tol {1.0e-4}

The convergence tolerance for tessellation (default: 1.0e-4).

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

/Users/lzhshou/Documents/Research/myProjects/apaam/repo/netdem/src/utils/wscvt_sampler.hpp

Public Member Functions

Static Public Member Functions

Public Attributes