Optimization Models for Reaction Networks: Information Divergence, Quadratic Programming and Kirchhoff’s Laws
This article presents a simple derivation of optimization models for reaction networks leading to a generalized form of the mass-action law, and compares the formal structure of Minimum Information Divergence, Quadratic Programming and Kirchhoff type network models. These optimization models are use...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2014-03-01
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| Series: | Axioms |
| Subjects: | |
| Online Access: | http://www.mdpi.com/2075-1680/3/1/109 |
| Summary: | This article presents a simple derivation of optimization models for reaction networks leading to a generalized form of the mass-action law, and compares the formal structure of Minimum Information Divergence, Quadratic Programming and Kirchhoff type network models. These optimization models are used in related articles to develop and illustrate the operation of ontology alignment algorithms and to discuss closely connected issues concerning the epistemological and statistical significance of sharp or precise hypotheses in empirical science. |
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| ISSN: | 2075-1680 |