mcmc_impl.hpp File Reference

Template implementations for stochastic/mcmc.hpp. Included at the bottom of mcmc.hpp – do not include directly. More...

#include "stochastic/mcmc.hpp"
#include <cmath>
#include <random>

Go to the source code of this file.

Namespaces
namespace	num
namespace	num::markov

Functions
template<typename DeltaE , typename Apply , typename RNG >
MetropolisStats	num::markov::metropolis_sweep (idx n_sites, DeltaE delta_energy, Apply apply_flip, real beta, RNG &rng)
	Single Metropolis sweep: n_sites random single-site updates.
template<typename ProbFn , typename Apply , typename RNG >
MetropolisStats	num::markov::metropolis_sweep_prob (idx n_sites, ProbFn acceptance_prob, Apply apply_flip, RNG &rng)
	Metropolis sweep with caller-supplied acceptance probabilities.
template<typename DeltaE , typename Apply , typename Save , typename Restore , typename Measure , typename RNG >
UmbrellaStats	num::markov::umbrella_sweep (idx n_sites, DeltaE delta_energy, Apply apply_flip, Save save_state, Restore restore_state, Measure measure_order, UmbrellaWindow window, real beta, RNG &rng)
	Umbrella-sampled Metropolis sweep (dE variant).
template<typename ProbFn , typename Apply , typename Save , typename Restore , typename Measure , typename RNG >
UmbrellaStats	num::markov::umbrella_sweep_prob (idx n_sites, ProbFn acceptance_prob, Apply apply_flip, Save save_state, Restore restore_state, Measure measure_order, UmbrellaWindow window, RNG &rng)
	Umbrella-sampled Metropolis sweep (precomputed probability variant).

Detailed Description

Template implementations for stochastic/mcmc.hpp. Included at the bottom of mcmc.hpp – do not include directly.

Definition in file mcmc_impl.hpp.