Optimized Monte Carlo Methods [article]

Enzo Marinari
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
more » ... discussing Umbrella Methods and the Multicanonical approach.
arXiv:cond-mat/9612010v1 fatcat:evevuloskzfldfrpm5yhxbwmze