Using renormalization-group ideas in Monte Carlo sampling

Journal Article · Mon Dec 12 04:00:00 EST 1983 · Phys. Rev. Lett.; (United States)

DOI:https://doi.org/10.1103/PhysRevLett.51.2175· OSTI ID:5194760

Schmidt, K E

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.

• Research Organization: Theoretical Division, Los Alamos National Laboratory, Los Alamos, New Mexico 87545
• OSTI ID: 5194760
• Journal Information: Phys. Rev. Lett.; (United States), Journal Name: Phys. Rev. Lett.; (United States) Vol. 51:24; ISSN PRLTA
• Country of Publication: United States
• Language: English

Related Subjects

658000* -- Mathematical Physics-- (-1987)
71 CLASSICAL AND QUANTUM MECHANICS
GENERAL PHYSICS
ALGORITHMS
ANGULAR MOMENTUM
CORRELATIONS
CRYSTAL MODELS
ISING MODEL
MATHEMATICAL LOGIC
MATHEMATICAL MODELS
MONTE CARLO METHOD
PARTICLE PROPERTIES
PROBABILITY
RENORMALIZATION
SPIN