Benchmarking nonlinear optimization software in technical computing environments

Name: Benchmarking nonlinear optimization software in technical computing environments
Author: Pinter, Janos D., Kampas, F. J.

İsim	Benchmarking nonlinear optimization software in technical computing environments
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

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Benchmarking nonlinear optimization software in technical computing environments

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