Arak::StochasticHillClimber< MarkovChainTraits > Class Template Reference

#include <mcmc.hpp>

Inheritance diagram for Arak::StochasticHillClimber< MarkovChainTraits >:

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[legend]List of all members.

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Detailed Description

template<class MarkovChainTraits>
class Arak::StochasticHillClimber< MarkovChainTraits >

A stochastic hill climbing Markov chain.

Definition at line 367 of file mcmc.hpp.

Public Types
typedef MarkovChain< MarkovChainTraits >::StateType	StateType
typedef MarkovChain< MarkovChainTraits >::DistributionType	DistributionType
typedef MarkovChain< MarkovChainTraits >::ProposalType	ProposalType
typedef MarkovChain< MarkovChainTraits >::MoveType	MoveType
Public Member Functions
	StochasticHillClimber (DistributionType &dist, ProposalType &proposal, StateType &state, const Arak::Util::PropertyMap &props, Arak::Util::Random &random=Arak::Util::default_random)
	Default constructor.
virtual bool	advance ()
	Advances the Markov chain using a stochastic hill climbing step.

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Member Typedef Documentation

template<class MarkovChainTraits> typedef MarkovChain<MarkovChainTraits>::DistributionType Arak::StochasticHillClimber< MarkovChainTraits >::DistributionType

Reimplemented from Arak::MarkovChain< MarkovChainTraits >. Definition at line 372 of file mcmc.hpp.

template<class MarkovChainTraits> typedef MarkovChain<MarkovChainTraits>::MoveType Arak::StochasticHillClimber< MarkovChainTraits >::MoveType

Reimplemented from Arak::MarkovChain< MarkovChainTraits >. Definition at line 374 of file mcmc.hpp.

template<class MarkovChainTraits> typedef MarkovChain<MarkovChainTraits>::ProposalType Arak::StochasticHillClimber< MarkovChainTraits >::ProposalType

Reimplemented from Arak::MarkovChain< MarkovChainTraits >. Definition at line 373 of file mcmc.hpp.

template<class MarkovChainTraits> typedef MarkovChain<MarkovChainTraits>::StateType Arak::StochasticHillClimber< MarkovChainTraits >::StateType

Reimplemented from Arak::MarkovChain< MarkovChainTraits >. Definition at line 371 of file mcmc.hpp.

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Constructor & Destructor Documentation

template<class MarkovChainTraits> Arak::StochasticHillClimber< MarkovChainTraits >::StochasticHillClimber (  DistributionType &  dist, ProposalType &  proposal, StateType &  state, const Arak::Util::PropertyMap &  props, Arak::Util::Random &  random = Arak::Util::default_random )  [inline]

Default constructor. Given a stationary distribution, a proposal distribution, and an initial state, this builds a new Markov chain. Parameters: process  the Arak process to be simulated proposal  the proposal distribution of the Markov chain coloring  the initial state of the Markov chain props  a property map containing properties relevant to the hill climber random  a source of pseudorandomness Definition at line 388 of file mcmc.hpp. References Arak::Util::PropertyMap.

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Member Function Documentation

template<class MarkovChainTraits> virtual bool Arak::StochasticHillClimber< MarkovChainTraits >::advance (   )  [inline, virtual]

Advances the Markov chain using a stochastic hill climbing step. This method returns truth if the proposed move was accepted. Returns: true if the state of the chain changed Reimplemented from Arak::MarkovChain< MarkovChainTraits >. Definition at line 402 of file mcmc.hpp.

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

• mcmc.hpp

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