PROFASI  Version 1.5
Monte Carlo algorithms


class  prf::MC
 MC class handles the Markov Chain Monte Carlo evolution. More...

Detailed Description

Markov Chain Monte Carlo algorithms

ProFASi provides several Monte Carlo algorithms such a simulated tempering, parallel tempering, simulated annealing. They are based on a class called MC, for Monte Carlo, which implements elementary Metropolis-Hastings Markov Chain generation. But MC can also be sub-classed to implement many algorithms such as the Multicanonical sampling or the Wang-Landau algorithm which have a different accept/reject condition. The classes in this module only provide the background. To see how to do this kind of simulations in ProFASi, see the application programs BasicMCRun, SimTempRun, SimAnnealRun or ParTempRun. The tutorials also contain a basic description of how to perform such simulations.

PROFASI: Protein Folding and Aggregation Simulator, Version 1.5
© (2005-2016) Anders Irbäck and Sandipan Mohanty
Documentation generated on Mon Jul 18 2016 using Doxygen version 1.8.2