Acceleration Algorithms in Monte Carlo Simulations in Statistical Physics

Robert H. Swendsen
Additional contact information
Robert H. Swendsen: Department of Physics, Carnegie-Mellon University, Pittsburgh, Pennsylvania 15213, USA

International Journal of Modern Physics C (IJMPC), 1991, vol. 02, issue 01, 201-208

Abstract: Monte Carlo simulations of thermodynamic phase transitions are usually hampered by long relaxation times due to the phenomenon of “critical slowing down.” Using a mapping due to Fortuin and Kasteleyn, a cluster approach to Monte Carlo simulations has been developed, which greatly reduces relaxation times, improving efficiency by up to two or three orders of magnitude. New developments and extensions of this approach are also discussed.

Date: 1991
References: Add references at CitEc
Citations:

Downloads: (external link)
http://www.worldscientific.com/doi/abs/10.1142/S0129183191000172
Access to full text is restricted to subscribers

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:wsi:ijmpcx:v:02:y:1991:i:01:n:s0129183191000172

Ordering information: This journal article can be ordered from

DOI: 10.1142/S0129183191000172

Access Statistics for this article

International Journal of Modern Physics C (IJMPC) is currently edited by H. J. Herrmann

More articles in International Journal of Modern Physics C (IJMPC) from World Scientific Publishing Co. Pte. Ltd.
Bibliographic data for series maintained by Tai Tone Lim ().