Using renormalization-group ideas in Monte Carlo sampling

Research output: Contribution to journalArticlepeer-review

44 Scopus citations

Abstract

Renormalization-group methods are used to produce a novel Monte Carlo sampling algorithm which alleviates the problem of critical slowing down. The method is applied by means of a Kadanoff block-spin transformation to the one- and two-dimensional Ising models.

Original languageEnglish (US)
Pages (from-to)2175-2178
Number of pages4
JournalPhysical Review Letters
Volume51
Issue number24
DOIs
StatePublished - Jan 1 1983
Externally publishedYes

ASJC Scopus subject areas

  • Physics and Astronomy(all)

Fingerprint Dive into the research topics of 'Using renormalization-group ideas in Monte Carlo sampling'. Together they form a unique fingerprint.

Cite this