Module lattice_qcd_rs::simulation::monte_carlo

Module for Monte-Carlo algrorithme, see the trait MonteCarlo.

This is one of the way to carry out simulation. This work by taking a state and progressively changing it (most of the time randomly).

Examples

see MetropolisHastingsSweep, HeatBathSweep, overrelaxation etc…

Re-exports

• pub use heat_bath::*;
• pub use hybrid::*;
• pub use hybrid_monte_carlo::*;
• pub use metropolis_hastings::*;
• pub use metropolis_hastings_sweep::*;
• pub use overrelaxation::*;

Modules

• heat_bath
  Pseudo heat bath methods
• hybrid
  Combine multiple Monte Carlo methods.
• hybrid_monte_carlo
  Hybrid Monte Carlo method
• metropolis_hastings
  Metropolis Hastings method
• metropolis_hastings_sweep
  Metropolis Hastings method
• overrelaxation
  Overrelaxation method

Structs

• McWrapper
  A wrapper used to implement MonteCarlo from a MonteCarloDefault

Traits

• MonteCarlo
  Monte-Carlo algorithm, giving the next element in the simulation. It is also a Markov chain.
• MonteCarloDefault
  Some times it is easier to just implement a potential next element, the rest is done automatically using an McWrapper.