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Decisions, Decisions: Noise and its Effects on Integral Monte Carlo Algorithms

J. D. Doll·D. L. Freeman
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Abstract

In the present paper we examine the effects of noise on Monte Carlo algorithms, a problem raised previously by Kennedy and Kuti (Phys. Rev. Lett. {\bf 54}, 2473 (1985)). We show that the effects of introducing unbiased noise into the acceptance/rejection phase of the conventional Metropolis approach are surprisingly modest, and, to a significant degree, largely controllable. We present model condensed phase numerical applications to support these conclusions.

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J. D. Doll, D. L. Freeman. 1994-05-26. Decisions, Decisions: Noise and its Effects on Integral Monte Carlo Algorithms. https://doi.org/10.1016/0009-2614(94)00847-7

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