The convergence properties and stochastic characteristics inherent in force-biased and in Metropolis Monte Carlo simulations on liquids

DOI10.1016/0021-9991(86)90139-7zbMath0587.76013OpenAlexW1981163022MaRDI QIDQ1072820

Saul Goldman

Publication date: 1986

Published in: Journal of Computational Physics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/0021-9991(86)90139-7

zbMATH Keywords

Monte Carlo simulationstochastic characteristicsdistortion in the force-bias biasing functionenergy distribution functionforce-biaslimited state-to-state accessibilityMetropolis Monte Carlo algorithmssubdominant eigenvalues of transition matrices

Mathematics Subject Classification ID

Monte Carlo methods (65C05) Numerical solutions to equations with linear operators (65J10) Statistical mechanics of liquids (82D15) Basic methods in fluid mechanics (76M99) Foundations, constitutive equations, rheology, hydrodynamical models of non-fluid phenomena (76A99)

Uses Software

• EISPACK
• IMSL Numerical Libraries

Cites Work

• Matrix eigensystem routines - EISPACK guide
• Equation of State Calculations by Fast Computing Machines
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