Monte Carlo simulation of the microcanonical ensemble

Conference · Thu Apr 05 00:00:00 EST 1984

OSTI ID:6997992

Creutz, M

We consider simulating statistical systems with a random walk on a constant energy surface. This combines features of deterministic molecular dynamics techniques and conventional Monte Carlo simulations. For discrete systems the method can be programmed to run an order of magnitude faster than other approaches. It does not require high quality random numbers and may also be useful for nonequilibrium studies. 10 references.

• Research Organization: Brookhaven National Lab., Upton, NY (USA)
• DOE Contract Number: AC02-76CH00016
• OSTI ID: 6997992
• Report Number(s): BNL-34641; CONF-8404119-1; ON: DE84010880
• Resource Relation: Conference: Workshop on gauge theory on lattice, Argonne, IL, USA, 5 Apr 1984; Other Information: Portions are illegible in microfiche products
• Country of Publication: United States
• Language: English

Related Subjects

99 GENERAL AND MISCELLANEOUS//MATHEMATICS, COMPUTING, AND INFORMATION SCIENCE
74 ATOMIC AND MOLECULAR PHYSICS
MOLECULAR MODELS
MONTE CARLO METHOD
STATISTICS
ALGORITHMS
COMPUTERIZED SIMULATION
DIFFERENTIAL EQUATIONS
ISING MODEL
RENORMALIZATION
CRYSTAL MODELS
EQUATIONS
MATHEMATICAL LOGIC
MATHEMATICAL MODELS
MATHEMATICS
SIMULATION
990200* - Mathematics & Computers
640305 - Atomic
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