"Stochastic chemical reaction networks for robustly approximating arbitrary ..."

Daniele Cappelletti et al. (2020)

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DOI: 10.1016/J.TCS.2019.08.013

access: open

type: Journal Article

metadata version: 2023-11-12

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Daniele Cappelletti, Andrés Ortiz-Muñoz, David F. Anderson, Erik Winfree:
Stochastic chemical reaction networks for robustly approximating arbitrary probability distributions. Theor. Comput. Sci. 801: 64-95 (2020)

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