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About R1 Ahmad 256
This document summarizes an article that discusses Population Monte Carlo (PMC) algorithms. It introduces PMC as using randomly generated "walkers" or "particles" to compute quantities of interest. The article overviews the basic three steps of PMC algorithms: choosing random walks with a specified probability, updating weights, and reconfiguring weights. Examples where PMC has been applied include quantum many-body problems, lattice spin systems, Bayesian computation, and polymer science. The document concludes that the article clearly distinguishes PMC algorithms from broader Markov Chain Monte Carlo methods and explains the algorithm and examples lucidly.
Detailed Information
| Author: | ['Ashar Ahmad'] |
|---|---|
| Publication Year: | 2012 |
| Pages: | 3 |
| Language: | English |
| Format: | |
| Price: | FREE |
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