mc::integrators::Integrator< dim > Class Template Reference

Abstract base class for Monte Carlo integration in N dimensions. More...

#include <integrator.hpp>

Inheritance diagram for mc::integrators::Integrator< dim >:

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Public Member Functions
	Integrator (const mc::domains::IntegrationDomain< dim > &d)
	Constructs an integrator for a specific domain.
virtual double	integrate (const std::function< double(const mc::geom::Point< dim > &)> &f, int n_samples, const mc::proposals::Proposal< dim > &proposal, std::uint32_t seed)=0
virtual	~Integrator ()=default
	Virtual destructor for proper polymorphic cleanup.

Protected Member Functions
std::vector< mc::geom::Point< dim > >	initializeRandomizer (int numbers)
	Initializes random samples uniformly distributed in the domain.

Protected Attributes
const mc::domains::IntegrationDomain< dim > &	domain
	Reference to the integration domain.
std::vector< std::mt19937 >	randomizer
	Per-thread random number generators.

Detailed Description

template<size_t dim>
class mc::integrators::Integrator< dim >

Abstract base class for Monte Carlo integration in N dimensions.

Template Parameters

dim	The dimensionality of the integration domain.

Manages random number generation and provides utilities for initializing sample points within the integration domain. Subclasses implement specific integration algorithms (uniform sampling, importance sampling, MCMC).

Definition at line 34 of file integrator.hpp.

Constructor & Destructor Documentation

Integrator()

template<size_t dim>

mc::integrators::Integrator< dim >::Integrator ( const mc::domains::IntegrationDomain< dim > &  d )

inlineexplicit

Constructs an integrator for a specific domain.

Parameters

d	Reference to the integration domain.

Definition at line 116 of file integrator.hpp.

~Integrator()

template<size_t dim>

virtual mc::integrators::Integrator< dim >::~Integrator ( )

virtualdefault

Virtual destructor for proper polymorphic cleanup.

Member Function Documentation

initializeRandomizer()

template<size_t dim>

std::vector< mc::geom::Point< dim > > mc::integrators::Integrator< dim >::initializeRandomizer ( int  numbers )

inlineprotected

Initializes random samples uniformly distributed in the domain.

Parameters

numbers

The number of sample points to generate.

Returns

Vector of randomly sampled points within the domain bounds.

Generates points uniformly in the bounding box, writes to file for visualization (hsphere_samples.dat, cylinder_samples.dat, etc.), and returns as vector of Point<dim>.

Note

This helper was used in earlier development; modern code uses RngManager.

Definition at line 49 of file integrator.hpp.

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integrate()

template<size_t dim>

virtual double mc::integrators::Integrator< dim >::integrate ( const std::function< double(const mc::geom::Point< dim > &)> &  f, int  n_samples, const mc::proposals::Proposal< dim > &  proposal, std::uint32_t  seed  )

pure virtual

Implemented in mc::integrators::ISMontecarloIntegrator< dim >, and mc::integrators::MontecarloIntegrator< dim >.

Member Data Documentation

domain

template<size_t dim>

const mc::domains::IntegrationDomain<dim>& mc::integrators::Integrator< dim >::domain

protected

Reference to the integration domain.

Definition at line 37 of file integrator.hpp.

randomizer

template<size_t dim>

std::vector<std::mt19937> mc::integrators::Integrator< dim >::randomizer

protected

Per-thread random number generators.

Definition at line 38 of file integrator.hpp.

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

• src/montecarlo/integrators/integrator.hpp