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Efficient parameter sensitivity computation for spatially extended reaction networks

Abstract:

Reaction-diffusion models are widely used to study spatially-extended chemical reaction systems. In order to understand how the dynamics of a reaction-diffusion model are affected by changes in its input parameters, efficient methods for computing parametric sensitivities are required. In this work, we focus on stochastic models of spatially-extended chemical reaction systems that involve partitioning the computational domain into voxels. Parametric sensitivities are often calculated using Mo...

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Publication status:
Published
Peer review status:
Peer reviewed
Version:
Accepted manuscript

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Publisher copy:
10.1063/1.4973219

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Department:
Oxford, MPLS, Mathematical Institute
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Department:
St Hughs College
Publisher:
American Institute of Physics Publisher's website
Journal:
Journal of Chemical Physics Journal website
Volume:
146
Issue:
4
Pages:
044106-044106
Publication date:
2017-01-05
Acceptance date:
2016-12-13
DOI:
ISSN:
0021-9606 and 1089-7690
Pubs id:
pubs:673953
URN:
uri:24eb525b-8711-49e5-adb3-33303ac49dd5
UUID:
uuid:24eb525b-8711-49e5-adb3-33303ac49dd5
Local pid:
pubs:673953

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