Stochastic chemical reaction networks for robustly approximating arbitrary probability distributions
DOI10.1016/j.tcs.2019.08.013zbMath1436.68111arXiv1810.02854OpenAlexW2895157742MaRDI QIDQ2007716
Daniele Cappelletti, Erik Winfree, David F. Anderson, Andrés Ortiz-Muñoz
Publication date: 22 November 2019
Published in: Theoretical Computer Science (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/1810.02854
robustnessapproximationmolecular computingdetailed balancearbitrary distributionsstochastic chemical reaction networks
Classical flows, reactions, etc. in chemistry (92E20) Applications of continuous-time Markov processes on discrete state spaces (60J28) Probability in computer science (algorithm analysis, random structures, phase transitions, etc.) (68Q87) Biologically inspired models of computation (DNA computing, membrane computing, etc.) (68Q07)
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