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A Stochastic Hybrid Approximation for Chemical Kinetics Based on the Linear Noise Approximation

Abstract:

The Linear Noise Approximation (LNA) is a continuous approximation of the CME, which improves scalability and is accurate for those reactions satisfying the leap conditions. We formulate a novel stochastic hybrid approximation method for chemical reaction networks based on adaptive partitioning of the species and reactions according to leap conditions into two classes, one solved numerically via the CME and the other using the LNA. The leap criteria are more general than partitioning based on...

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Publication status:
Published
Peer review status:
Peer reviewed

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Publisher copy:
10.1007/978-3-319-45177-0_10

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Institution:
University of Oxford
Division:
MPLS
Department:
Computer Science
Oxford college:
St Anne's College
Role:
Author
ORCID:
0000-0002-8705-8488
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Institution:
University of Oxford
Division:
MPLS Division
Department:
Computer Science
Oxford college:
Trinity College
Role:
Author
More by this author
Institution:
University of Oxford
Division:
MPLS Division
Department:
Computer Science
Oxford college:
Trinity College
Role:
Author
Publisher:
Springer Verlag Publisher's website
Journal:
Lecture Notes in Computer Science Journal website
Volume:
9859
Pages:
147-167
Series:
Computational Methods in Systems Biology
Host title:
Lecture Notes in Computer Science
Publication date:
2016-09-04
DOI:
ISSN:
1611-3349 and 0302-9743
Source identifiers:
652300
ISBN:
9783319451763
Keywords:
Pubs id:
pubs:652300
UUID:
uuid:01835c76-3917-4935-9c40-e75e43acd60c
Local pid:
pubs:652300
Deposit date:
2019-10-16

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