Optimized Monte Carlo Methods

Enzo Marinari

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arXiv · cond-mat/9612010

Optimized Monte Carlo Methods

Enzo Marinari

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Abstract

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.

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cond-mat.dis-nn cond-mat.stat-mech hep-lat

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Enzo Marinari. 1996-11-30. Optimized Monte Carlo Methods. https://arxiv.org/abs/cond-mat/9612010

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