Author
Pinter, Janos D., Kampas, F. J.
Publication Date
2013-04
Publication Place
-
Springer Science+Business Media
Subject
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
Type
Periodical
Language
English
Digital
Yes
Manuscript
No
Library
Özyeğin University
Library Asset ID
1863-8279
Record ID
4a940ec9-4687-4415-9f12-3d9019d82a8c
Library Location
Industrial Engineering
Date
2013-04
Notes
Due to copyright restrictions, the access to the full text of this article is only available via subscription.
Sample Text
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.
DOI
10.1007/s11750-011-0209-5
Cilt
21
