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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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