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Optimized Monte Carlo Methods
[article]
1996
arXiv
pre-print
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
arXiv:cond-mat/9612010v1
fatcat:evevuloskzfldfrpm5yhxbwmze