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Author Schmidt, K. E.
Source United States Department of Energy Office of Scientific and Technical Information
Content type Text
Language English
Subject Keyword CLASSICAL AND QUANTUM MECHANICS, GENERAL PHYSICS ♦ ISING MODEL ♦ MONTE CARLO METHOD ♦ ALGORITHMS ♦ CORRELATIONS ♦ PROBABILITY ♦ RENORMALIZATION ♦ SPIN ♦ ANGULAR MOMENTUM ♦ CRYSTAL MODELS ♦ MATHEMATICAL LOGIC ♦ MATHEMATICAL MODELS ♦ PARTICLE PROPERTIES ♦ Mathematical Physics- (-1987)
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.
Educational Use Research
Learning Resource Type Article
Publisher Date 1983-12-12
Publisher Department Theoretical Division, Los Alamos National Laboratory, Los Alamos, New Mexico 87545
Publisher Place United States
Journal Phys. Rev. Lett.
Volume Number 51
Issue Number 24
Organization Theoretical Division, Los Alamos National Laboratory, Los Alamos, New Mexico 87545


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