In this paper, we have proposed a study on controllability and optimal harvestingof a prey predator model and mathematical non linear formation of the equation equilibriumpoint of Routh harvest stability analysis. The problem of determining the optimal harvestpolicy is solved by invoking Pontryagin0s maximum principle dynamic optimization of theharvest policy is studied by taking the combined h...

We describe some applications of mathematical optimization techniques to yacht performance analysis. Applications include sail trim optimization in wind tunnels, match race modelling under uncertainty, and America’s Cup design optimization under uncertain weather conditions.

This project is based on static power optimization of CMOS digital circuits. We will discuss the electrical engineering aspects of the static power optimization problem in the next section and present the mathematical equations that are involved in the formulation of this optimization problem. We briefly explain why our approach is different from the existent work. The main aspect of this amsc-...

We address the problem of solving mathematical programs defined over a graph where nodes represent agents and edges represent interaction among agents. We focus on the class of graph structured linear and quadratic programs (LPs/QPs) which can model important multiagent coordination frameworks such as distributed constraint optimization (DCOP). For DCOPs, our framework provides a key benefit of...

JuMP is an open-source modeling language that allows users to express a wide range of optimization problems (linear, mixed-integer, quadratic, conic-quadratic, semidefinite, and nonlinear) in a high-level, algebraic syntax. JuMP takes advantage of advanced features of the Julia programming language to offer unique functionality while achieving performance on par with commercial modeling tools f...

submissions: January 15, 2012Notification of acceptance: February 1, 2012Early registration: March 31, 2012

Genome-scale metabolic models are increasingly becoming available for a variety of microorganisms. This has spurred the development of a wide array of computational tools, and in particular, mathematical optimization approaches, to assist in fundamental metabolic network analyses and redesign efforts. This review highlights a number of optimization-based frameworks developed towards addressing ...

Quality engineering uses robust design in order to improve quality by reducing the effects of variability. Variability of the product can be reduced by two stages. One is parameter design which is adjustable to the nominal value so that output is less sensitive to the cause of variability. Other one is tolerance design which is to reduce the tolerance in order to control variability. All costs ...

June 28, 2010. This is the first issue of Optima under our society’s new name, Mathematical Optimization Society. After a vigorous and enlightening discussion, members approved the change by the decisive margin of 457 to 127, with an additional 38 voters registering an abstention. We are working through the many practical issues associated with the change, including a new web address mathopt.or...