https://github.com/dpsanders/metodos-monte-carlo
Recursos para el curso de Métodos computacionales para la física estadística.
https://github.com/dpsanders/metodos-monte-carlo
Last synced: about 2 months ago
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Recursos para el curso de Métodos computacionales para la física estadística.
- Host: GitHub
- URL: https://github.com/dpsanders/metodos-monte-carlo
- Owner: dpsanders
- License: mit
- Created: 2015-02-05T14:04:07.000Z (over 10 years ago)
- Default Branch: master
- Last Pushed: 2020-02-08T15:51:43.000Z (over 5 years ago)
- Last Synced: 2025-03-29T20:24:23.007Z (3 months ago)
- Language: Julia
- Size: 21.7 MB
- Stars: 8
- Watchers: 5
- Forks: 18
- Open Issues: 1
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Metadata Files:
- Readme: README.md
- License: LICENSE
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README
# metodos-monte-carlo
[](https://gitter.im/dpsanders/metodos-monte-carlo?utm_source=badge&utm_medium=badge&utm_campaign=pr-badge&utm_content=badge)
Recursos para el curso de Métodos computacionales para la física estadística.# Tareas
Las tareas se tienen que mandar a `[email protected]`# Bibliografía
- Newman & Barkema, *Monte Carlo Methods in Statistical Physics*
- Landau & Binder, *A Guide to Monte Carlo Simulations in Statistical Physics*
- Krauth, *Statistical Mechanics: Algorithms and Computations*
- Sethna, *Statistical Mechanics: Entropy, Order Parameters, and Complexity*. Disponible [aquí](http://www.physics.cornell.edu/sethna/StatMech/EntropyOrderParametersComplexity.pdf) en PDF.