Physics 858 - Monte Carlo Methods
Fall
2024
01
3.00
Nikolay Prokofiev
TU TH 2:30PM 3:45PM
UMass Amherst
35228
Lederle Grad Res Tower rm 1234
prokofev@physics.umass.edu
Systematic introduction to one of the most powerful and versatile simulation techniques for large complex systems. The course starts with a short introduction to probability theory and random number generators, followed by the general theory of stochastic sampling techniques and data analysis for classical statistical models (including state-of-the-art schemes) and kinetic equations. The course concludes with the discussion of quantum Monte Carlo methods.