Optimized Monte Carlo Methods

Details Optimized Monte Carlo Methods Optimized Monte Carlo Methods

1996-11-30

arxiv.org/abs/cond-mat/9612010v1

Physics

Condensed Matter

Disordered Systems and Neural Networks

Lectures given at the 1996 Budapest Summer School on Monte Carlo Methods. 35 pages including 17 figures

Scientific paper

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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