Constraint-based modeling results in a convex polytope that defines a solution space containing all possible steady-state flux distributions. The properties of this polytope have been studied… Expand

This paper presents an approach, similar to penalty functions, for solving arbitrary mathematical programs that can be solved with dynamic programming.Expand

This is a survey designed for mathematical programming people who do not know molecular biology and want to learn the kinds of combinatorial optimization problems that arise.Expand

This survey considers emerging approaches of heuristic search for solutions to combinatorially complex problems that are inspired by natural phenomena.Expand

Diverse datasets including genomic, proteomic, isotopomer, and DNA sequence variation are becoming available for human mitochondria. Thus there is a need to integrate these data within an in silico… Expand

We provide a unified framework for computing market equilibrium in mathematical programming models in the presence of government price regulations using Gauss-Seidel algorithmic strategies.Expand