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Automatic design of optimal structures
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Monte Carlo sampling can be used to determine the size and shape of the steady-state flux space.
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 studiedExpand
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Surrogate Mathematical Programming
TLDR
This paper presents an approach, similar to penalty functions, for solving arbitrary mathematical programs that can be solved with dynamic programming. Expand
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Opportunities for Combinatorial Optimization in Computational Biology
TLDR
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
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New approaches for heuristic search: A bilateral linkage with artificial intelligence
TLDR
This survey considers emerging approaches of heuristic search for solutions to combinatorially complex problems that are inspired by natural phenomena. Expand
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Reconstruction and Functional Characterization of the Human Mitochondrial Metabolic Network Based on Proteomic and Biochemical Data*
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 silicoExpand
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A Functional Description of ANALYZE: A Computer-Assisted Analysis System for Linear Programming Models
TLDR
This paper describes the functions of a system, called ANALYZE, designed to assist analysts with their use of a linear programming model. Expand
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The use of the optimal partition in a linear programming solution for postoptimal analysis
TLDR
This paper gives examples where the partition is what is needed or desired to perform the analysis in each case. Expand
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Computing Market Equilibria with Price Regulations Using Mathematical Programming
TLDR
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
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