Yazar
Pinter, Janos D., Kampas, F. J.
Basım Tarihi
2013-04
Basım Yeri
-
Springer Science+Business Media
Konu
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
Tür
Süreli Yayın
Dil
İngilizce
Dijital
Evet
Yazma
Hayır
Kütüphane
Özyeğin Üniversitesi
Demirbaş Numarası
1863-8279
Kayıt Numarası
4a940ec9-4687-4415-9f12-3d9019d82a8c
Lokasyon
Industrial Engineering
Tarih
2013-04
Notlar
Due to copyright restrictions, the access to the full text of this article is only available via subscription.
Örnek Metin
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
