Information theory and the optimization of Monte Carlo simulations
Date of Original Version
We develop a convenient, quantitative measure of the sampling efficiency of equilibrium Monte Carlo algorithms. This measure, based on information theoretic methods, is optimized by independent random sampling. We illustrate present developments with selected numerical examples. © 1997 Elsevier Science B.V.
Publication Title, e.g., Journal
Chemical Physics Letters
Eleftheriou, Maria, Dongsup Kim, J. D. Doll, and David L. Freeman. "Information theory and the optimization of Monte Carlo simulations." Chemical Physics Letters 276, 5-6 (1997): 353-360. doi: 10.1016/S0009-2614(97)00839-7.