Decisions, decisions: Noise and its effects on integral Monte Carlo algorithms
Date of Original Version
In the present Letter, we examine the effects of noise on Monte Carlo algorithms, a problem raised previously by Kennedy and Kuti (Phys. Rev. Letters 54 (1985) 2473). 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. © 1994.
Chemical Physics Letters
Doll, J. D., and D. L. Freeman. "Decisions, decisions: Noise and its effects on integral Monte Carlo algorithms." Chemical Physics Letters 227, 4-5 (1994): 436-442. doi:10.1016/0009-2614(94)00847-7.