BinarySearchAcceptanceRateTuner.cpp File Reference

#include <hops/MarkovChain/MarkovChainAttribute.hpp>
#include <hops/MarkovChain/Tuning/BinarySearchAcceptanceRateTuner.hpp>
#include <cmath>

Include dependency graph for BinarySearchAcceptanceRateTuner.cpp:

Functions
Case	currentCase (double measuredAcceptanceRate, const hops::BinarySearchAcceptanceRateTuner::param_type &parameters)
double	measureAcceptanceRate (double stepSize, hops::MarkovChain *markovChain, hops::RandomNumberGenerator randomNumberGenerator, const hops::BinarySearchAcceptanceRateTuner::param_type &parameters)
	measures the acceptance rate of a configured step size More...
double	nextStepSizeToTry (double currentStepSize, double measuredAcceptanceRate, const hops::BinarySearchAcceptanceRateTuner::param_type &parameters)
	determines which step size to try next based on the measured acceptance rate of the current step size More...

Function Documentation

currentCase()

Case currentCase	(	double	measuredAcceptanceRate,
		const hops::BinarySearchAcceptanceRateTuner::param_type &	parameters
	)

measureAcceptanceRate()

double measureAcceptanceRate	(	double	stepSize,
		hops::MarkovChain *	markovChain,
		hops::RandomNumberGenerator	randomNumberGenerator,
		const hops::BinarySearchAcceptanceRateTuner::param_type &	parameters
	)

measures the acceptance rate of a configured step size

Parameters

stepSize
markovChain

Returns

nextStepSizeToTry()

double nextStepSizeToTry	(	double	currentStepSize,
		double	measuredAcceptanceRate,
		const hops::BinarySearchAcceptanceRateTuner::param_type &	parameters
	)

determines which step size to try next based on the measured acceptance rate of the current step size

Parameters

currentStepSize
measuredAcceptanceRate

Returns