Optimized Monte Carlo Methods

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I discuss optimized data analysis and Monte Carlo methods. Reweighting methods are discussed through examples, like Lee-Yang zeroes in the Ising model and the absence of deconfinement in QCD. I discuss reweighted data analysis and multi-hystogramming. I introduce Simulated Tempering, and as an example its application to the Random Field Ising Model. I illustrate Parallel Tempering, and discuss some technical crucial details like thermalization and volume scaling. I give a general perspective by discussing Umbrella Methods and the Multicanonical approach.
Lectures given at the 1996 Budapest Summer School on Monte Carlo Methods. 35 pages including 17 figures

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Disordered Systems and Neural Networks, Statistical Mechanics, High Energy Physics - Lattice

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http://salesiana.dossiersoluciones.com/handle/123456789/151642

Consulte el texto completo en el siguiente enlace:

https://arxiv.org/abs/cond-mat/9612010
 http://arxiv.org/abs/cond-mat/9612010

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arXiv