Category:Monte Carlo methods

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The numerical sampling of random numbers from a desired probability distribution

Main article: Monte Carlo method

Subcategories

There is one subcategory to this category shown below (more may be shown on subsequent pages).

M

• Monte Carlo software

Pages in category "Monte Carlo methods"

There are 35 pages in this section of this category.

Monte Carlo method Upper confidence bounds applied to trees A Auxiliary field Monte Carlo B Box-Muller transform C Cellular Potts model Control variate Cross-entropy method D Diffusion Monte Carlo Direct simulation Monte Carlo Dynamic Monte Carlo method E Event generator

G Gaussian quantum Monte Carlo Gibbs sampling Gillespie algorithm I Importance sampling K Kinetic Monte Carlo M Markov chain Monte Carlo Metropolis light transport Metropolis-Hastings algorithm Monte Carlo integration Monte Carlo methods in finance Monte Carlo option model P Parallel tempering

P cont. Particle filter Path integral Monte Carlo Q Quantum Monte Carlo Quasi-Monte Carlo method R Reptation Monte Carlo Resampling (statistics) Reverse Monte Carlo Reversible jump S Slice sampling V VEGAS algorithm Variance reduction Variational Monte Carlo

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Categories: Randomness | Algorithms | Numerical analysis | Statistical algorithms | Sampling techniques | Statistical mechanics | Computational physics

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• This page was last modified 22:04, 25 February 2007 by Wikipedia user Yas. Based on work by Wikipedia user(s) Den fjättrade ankan and Cydebot.
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