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Optimization Models for Reaction Networks: Information Divergence, Quadratic Programming and Kirchhoff's Laws

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Author(s):
Stern, Julio Michael ; Nakano, Fabio
Total Authors: 2
Document type: Journal article
Source: AXIOMS; v. 3, n. 1, p. 10-pg., 2014-03-01.
Abstract

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. (AU)

FAPESP's process: 13/07375-0 - CeMEAI - Center for Mathematical Sciences Applied to Industry
Grantee:Francisco Louzada Neto
Support Opportunities: Research Grants - Research, Innovation and Dissemination Centers - RIDC