Real-time computing and robust memory with deterministic chemical reaction networks
Author:
Funder
National Science Foundation
Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s11047-024-09994-1.pdf
Reference23 articles.
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3. Bournez O, Fraigniaud P, Koegler X (2012) Computing with large populations using interactions. In: Rovan B, Sassone V, Widmayer P (eds) Mathematical foundations of computer science 2012. Springer, Berlin, pp 234–246
4. Bournez O, Graça DS, Pouly A (2017) Polynomial time corresponds to solutions of polynomial ordinary differential equations of polynomial length. J ACM 64(6). https://doi.org/10.1145/3127496
5. Cappelletti D, Ortiz-Muñoz A, Anderson DF, Winfree E (2020) Stochastic chemical reaction networks for robustly approximating arbitrary probability distributions. Theor Comput Sci 801:64–95. https://doi.org/10.1016/j.tcs.2019.08.013
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