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Title

Benchmarking nonlinear optimization software in technical computing environments Global optimization in Mathematica with MathOptimizer Professional
Authors

János D. Pintér
Frank J. Kampas
Organization: WAM Systems, Inc.
Journal / Anthology

TOP
Year: 2013
Volume: 21
Issue: 1
Page range: 133-162
Description

Our strategic objective is to develop a broadly categorized, expandable collection of test problems, to support the benchmarking of nonlinear optimization software packages in integrated technical computing environments (ITCEs). ITCEs— such as Maple, Mathematica, and MATLAB—support concise, modular and scalable model development: their built-in documentation and visualization features can be put to good use also in test model selection and analysis. ITCEs support the flexible inclusion of both new models and general-purpose solver engines for future studies. Within this broad context, in this article we review a collection of global optimization problems coded in Mathematica, and present illustrative and summarized numerical results obtained using the MathOptimizer Professional software package.
Subject

*Applied Mathematics > Computer Science
Keywords

Nonlinear optimization in integrated technical computing environments ·, Optimization software benchmarking · Model library in Mathematica · Lipschitz, Global Optimizer (LGO) solver suite for nonlinear optimization · MathOptimizer, Professional (LGO linked to Mathematica) · Numerical performance results