Individual Molecules Dynamics in Reaction Network Models
Author:
Affiliation:
1. Politecnico di Torino, Torino, Italy.
2. Mathematical Biosciences Institute and Division of Biostatistics, The Ohio State University, Columbus, OH 43210, USA.
Funder
Ministero dell'Istruzione, dell'Università e della Ricerca
Division of Mathematical Sciences
Publisher
Society for Industrial & Applied Mathematics (SIAM)
Subject
Modeling and Simulation,Analysis
Reference21 articles.
1. Large deviations for Markov jump processes with uniformly diminishing rates
2. Large deviations theory for Markov jump models of chemical reaction networks
3. Tier structure of strongly endotactic reaction networks
4. Error analysis of tau-leap simulation methods
5. On Constrained Langevin Equations and (Bio)Chemical Reaction Networks
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