Abstract
In this review paper we illustrate the application of standard simulation methods in statistical physics in two novel contexts. The first deals with the extraction of a dynamic relaxation time from a biased sampling Monte Carlo computation on equilibrium data. The specific example reviews a previously published Rouse model polymer chain dynamics derived from the Kramers potential with and without excluded volume interaction. The second deals with the approximate representation of continuous functions of many variables of physical interest in information retrieval or condensed matter/statistical physics in terms of continuous functions of one variable. The arguments of the latter can be stored once and for all in a computer memory.
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© 1990 Springer-Verlag Berlin Heidelberg
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Frisch, H.L. (1990). Novel Contexts of Computer Simulation. In: Landau, D.P., Mon, K.K., Schüttler, HB. (eds) Computer Simulation Studies in Condensed Matter Physics II. Springer Proceedings in Physics, vol 45. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-75234-6_10
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DOI: https://doi.org/10.1007/978-3-642-75234-6_10
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