Cargando…
Direct Solution of the Chemical Master Equation Using Quantized Tensor Trains
The Chemical Master Equation (CME) is a cornerstone of stochastic analysis and simulation of models of biochemical reaction networks. Yet direct solutions of the CME have remained elusive. Although several approaches overcome the infinite dimensional nature of the CME through projections or other me...
Autores principales: | Kazeev, Vladimir, Khammash, Mustafa, Nip, Michael, Schwab, Christoph |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2014
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3953644/ https://www.ncbi.nlm.nih.gov/pubmed/24626049 http://dx.doi.org/10.1371/journal.pcbi.1003359 |
Ejemplares similares
-
DeepCME: A deep learning framework for computing solution statistics of the chemical master equation
por: Gupta, Ankit, et al.
Publicado: (2021) -
Delay chemical master equation: direct and closed-form solutions
por: Leier, Andre, et al.
Publicado: (2015) -
Quantized Lax equations and their solutions
por: Jurco, B., et al.
Publicado: (1995) -
Analysis of Stochastic Strategies in Bacterial Competence: A Master Equation Approach
por: Dandach, Sandra H., et al.
Publicado: (2010) -
Approximating solutions of the Chemical Master equation using neural networks
por: Sukys, Augustinas, et al.
Publicado: (2022)