Mean-field particle methods
id:
mean-field-particle-methods-178-13889895
title:
Mean-field particle methods
text:
Mean-field particle methods are a broad class of interacting type Monte Carlo algorithms for simulating from a sequence of probability distributions satisfying a nonlinear evolution equation. These flows of probability measures can always be interpreted as the distributions of the random states of a Markov process whose transition probabilities depends on the distributions of the current random states. A natural way to simulate these sophisticated nonlinear Markov processes is to sample a large
brand slug:
wiki
category slug:
encyclopedia
description:
Broad class of interacting type Monte Carlo algorithms
original url:
https://en.wikipedia.org/wiki/Mean-field_particle_methods
date created:
2014-08-28T01:46:57Z
date modified:
2024-09-04T17:23:35Z
main entity:
{"identifier":"Q22909082","url":"https://www.wikidata.org/entity/Q22909082"}
image:
fields total:
13
integrity:
15