Self-Avoiding Random Dynamics on Integer Complex Systems
Published in ACM Transactions on Modeling and Computer Simulation • Jan 1, 2013
NobleIDNI0P40W77R10S75
Authors:,,
Firas Hamze
Ziyu Wang
Nando de Freitas
Abstract
This article introduces a new specialized algorithm for equilibrium Monte Carlo sampling of binary-valued systems, which allows for large moves in the state space. This is achieved by constructing self-avoiding walks (SAWs) in the state space. As a consequence, many bits are flipped in a single MCMC...
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