Convergence rates of Markov chains for some self-assembly and non-saturated Ising models
Theor. Comput. Sci., pp. 1417-1427, 2009.
Algorithms based on Markov chains are ubiquitous across scientific disciplines as they provide a method for extracting statistical information about large, complicated systems. For some self-assembly models, Markov chains can be used to predict both equilibrium and non-equilibrium dynamics. In fact, the efficiency of these self-assembly a...更多
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