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About: Reverse Monte Carlo     Goto   Sponge   NotDistinct   Permalink

An Entity of Type : yago:State100024720, within Data Space : dbpedia.demo.openlinksw.com associated with source document(s)

Type: yago:WikicatMonteCarloMethodsyago:Ability105616246yago:Abstraction100002137yago:Attribute100024264yago:Cognition100023271yago:Condition113920835yago:Difficulty114408086yago:Know-how105616786yago:Method105660268yago:Problem114410605yago:PsychologicalFeature100023100yago:WikicatInverseProblemsFoodyago:State100024720 New Facet based on Instances of this Class

The Reverse Monte Carlo (RMC) modelling method is a variation of the standard Metropolis–Hastings algorithm to solve an inverse problem whereby a model is adjusted until its parameters have the greatest consistency with experimental data. Inverse problems are found in many branches of science and mathematics, but this approach is probably best known for its applications in condensed matter physics and solid state chemistry.