Benchmarking nonlinear optimization software in technical computing environments

János Pintér () and Frank Kampas ()

TOP: An Official Journal of the Spanish Society of Statistics and Operations Research, 2013, vol. 21, issue 1, 133-162

Abstract: 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. Copyright Sociedad de Estadística e Investigación Operativa 2013

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; 65K30; 90C05; 90C31 (search for similar items in EconPapers)
Date: 2013
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DOI: 10.1007/s11750-011-0209-5

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