Tensor-train approximation of the chemical master equation and its application for parameter inference-Reference-Cited by-同舟云学术

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Tensor-train approximation of the chemical master equation and its application for parameter inference

Published:2021-07-21 Issue:3 Volume:155 Page:034102
ISSN:0021-9606
Container-title:The Journal of Chemical Physics
language:en
Short-container-title:J. Chem. Phys.

Author:

Ion Ion Gabriel¹²^ORCID,Wildner Christian²^ORCID,Loukrezis Dimitrios¹²^ORCID,Koeppl Heinz¹²³^ORCID,De Gersem Herbert¹²^ORCID

Affiliation:

1. Centre for Computational Engineering, Technische Universität Darmstadt, Darmstadt, Germany

2. Department of Electrical Engineering and Information Technology, Technische Universität Darmstadt, Darmstadt, Germany

3. Centre for Synthetic Biology, Technische Universität Darmstadt, Darmstadt, Germany

Funder

Bundesministerium für Bildung und Forschung

Publisher

AIP Publishing

Subject

Physical and Theoretical Chemistry,General Physics and Astronomy

Link

https://aip.scitation.org/doi/pdf/10.1063/5.0045521

Reference51 articles.

1. A rigorous derivation of the chemical master equation

2. Efficient Exact Stochastic Simulation of Chemical Systems with Many Species and Many Channels

3. Perfect Sampling of the Master Equation for Gene Regulatory Networks

4. A general method for numerically simulating the stochastic time evolution of coupled chemical reactions

5. Spectral approximation of solutions to the chemical master equation

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