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zbMATH Open
Article . 2021
Data sources: zbMATH Open
Multiscale Modeling and Simulation
Article . 2021 . Peer-reviewed
Data sources: Crossref
https://dx.doi.org/10.48550/ar...
Article . 2020
License: arXiv Non-Exclusive Distribution
Data sources: Datacite
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Multiscale Global Sensitivity Analysis for Stochastic Chemical Systems

Multiscale global sensitivity analysis for stochastic chemical systems
Authors: Merritt, Michael; Alexanderian, Alen; Gremaud, Pierre A.;

Multiscale Global Sensitivity Analysis for Stochastic Chemical Systems

Abstract

Sensitivity analysis is routinely performed on simplified surrogate models as the cost of such analysis on the original model may be prohibitive. Little is known in general about the induced bias on the sensitivity results. Within the framework of chemical kinetics, we provide a full justification of the above approach in the case of variance based methods provided the surrogate model results from the original one through the thermodynamic limit. We also provide illustrative numerical examples in context of a Michaelis--Menten system and a biochemical reaction network describing a genetic oscillator.

19 pages

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Keywords

thermodynamic limit, chemical reaction networks, Numerical Analysis (math.NA), multiscale modeling, Chemical kinetics in thermodynamics and heat transfer, Probabilistic models, generic numerical methods in probability and statistics, Applications to the sciences, global sensitivity analysis, FOS: Mathematics, stochastic processes, Mathematics - Numerical Analysis, Classical flows, reactions, etc. in chemistry

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
5
Top 10%
Average
Top 10%
Green
bronze