Library / Monte Carlo Methods in Statistical mechanics: Foundations and New Algorithms

Author	Alan Sokal
Year	1997
DOI	10.1007/978-1-4899-0319-8_6
Links	Link
Tags	Mathematics Statistics

Reference

Alan Sokal “Monte Carlo methods in statistical mechanics: foundations and new algorithms” (1997) // Functional integration: Basics and applications. Publisher: Springer. Pp. 131–192. DOI: 10.1007/978-1-4899-0319-8_6

Bib

@Incollection{sokal1997,
  title = {Monte Carlo methods in statistical mechanics: foundations and new algorithms},
  author = {Sokal, Alan},
  booktitle = {Functional integration: Basics and applications},
  url = {https://citeseerx.ist.psu.edu/document?repid=rep1&type=pdf&doi=0bfe9e3db30605fe2d4d26e1a288a5e2997e7225},
  doi = {10.1007/978-1-4899-0319-8_6},
  pages = {131--192},
  year = {1997},
  publisher = {Springer}
}

Quotes (1)

Monte Carlo Methods

Monte Carlo is an extremely bad method; it should only be used when all alternative methods are worse.