Determining biochemical reaction network structures for kinetic polynomial models with uncertain coefficients

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

A numerical method is proposed in this paper for the computation of dense and sparse reaction network structures for kinetic polynomial models with uncertain parameters represented as intervals. The problem is traced back to mixed integer linear programming.

Original languageEnglish
Title of host publicationNumerical Analysis and Applied Mathematics, ICNAAM 2012 - International Conference of Numerical Analysis and Applied Mathematics
Pages2427-2430
Number of pages4
Edition1
DOIs
Publication statusPublished - Dec 1 2012
EventInternational Conference of Numerical Analysis and Applied Mathematics, ICNAAM 2012 - Kos, Greece
Duration: Sep 19 2012Sep 25 2012

Publication series

NameAIP Conference Proceedings
Number1
Volume1479
ISSN (Print)0094-243X
ISSN (Electronic)1551-7616

Other

OtherInternational Conference of Numerical Analysis and Applied Mathematics, ICNAAM 2012
CountryGreece
CityKos
Period9/19/129/25/12

Keywords

  • chemical reaction networks
  • dynamical systems
  • network structure
  • optimization

ASJC Scopus subject areas

  • Physics and Astronomy(all)

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  • Cite this

    Szederkényi, G., Tuza, Z. A., & Hangos, K. M. (2012). Determining biochemical reaction network structures for kinetic polynomial models with uncertain coefficients. In Numerical Analysis and Applied Mathematics, ICNAAM 2012 - International Conference of Numerical Analysis and Applied Mathematics (1 ed., pp. 2427-2430). (AIP Conference Proceedings; Vol. 1479, No. 1). https://doi.org/10.1063/1.4756685