Skip to content

agdelma/IntroMonteCarlo

Repository files navigation

An Introduction to Monte Carlo Methods

This repository contains Jupyter notebooks written in python for a lecture on Monte Carlo methods given at the International Summer School on Computational Quantum Materials in Sherbrooke, Quebec, Canada from May 28 to June 8, 2018.

Lecture Content

The notebooks in the repository contain information on:

  1. Introduction to Monte Carlo Methods
  2. Monte Carlo Integration
  3. Generating Random Numbers
  4. Metropolis Monte Carlo
  5. 2d Ising Model

Acknowledgment

The creation of these materials was supported in part by the National Science Foundation under Awards No. DMR-1553991.

About

Introduction to classical Monte Carlo methods

Resources

License

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published