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:

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

Name		Name	Last commit message	Last commit date
Latest commit History 16 Commits
2d_Ising_model_Monte_Carlo.ipynb		2d_Ising_model_Monte_Carlo.ipynb
Ising_estimators_032.dat.gz		Ising_estimators_032.dat.gz
Ising_magnetization_004.dat.gz		Ising_magnetization_004.dat.gz
LICENSE		LICENSE
Metropolis_Monte_Carlo.ipynb		Metropolis_Monte_Carlo.ipynb
Monte_Carlo_integration.ipynb		Monte_Carlo_integration.ipynb
README.md		README.md
introduction_monte_carlo.ipynb		introduction_monte_carlo.ipynb
mc_notebook.mplstyle		mc_notebook.mplstyle
metropolis.png		metropolis.png
random_sampling.ipynb		random_sampling.ipynb