| Global Optimization Toolbox for Maple: an introduction with illustrative applications
Janos D. Pinter, David Linder and Paulina Chin
“This article presents a concise review of the scientific–technical computing system Maple and its application potentials in Operations Research. The primary emphasis is placed on non-linear optimization models that may be formulated using a broad range of components, including e.g. special functions, integrals, systems of differential equations, deterministic or stochastic simulation, external function calls, and other computational procedures. Such models may have a complicated structure, with possibly a non-convex feasible set and multiple, global and local, optima. We introduce the Global Optimization Toolbox to solve such models in Maple, and illustrate its usage by numerical examples.”
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This is an electronic version of an article published in the Optimization Methods and Software(c) 2006 Copyright Taylor & Francis; Optimization Methods and Software is available online at http://www.tandf.co.uk/journals/titles/10556788.asp
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