Pinter, Janos D.Kampas, F. J.2014-07-072014-07-072013-041863-8279http://hdl.handle.net/10679/458https://doi.org/10.1007/s11750-011-0209-5Due to copyright restrictions, the access to the full text of this article is only available via subscription.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.engrestrictedAccessarticle21113316200031734610000710.1007/s11750-011-0209-5Nonlinear optimization in integrated technical computing environmentsOptimization software benchmarkingModel library in MathematicaLipschitz Global Optimizer (LGO) solver suite for nonlinear optimizationMathOptimizer Professional (LGO linked to Mathematica)Numerical performance results2-s2.0-84876034314