دورية أكاديمية

A New Smoothing Conjugate Gradient Method for Solving Nonlinear Nonsmooth Complementarity Problems

التفاصيل البيبلوغرافية
العنوان: A New Smoothing Conjugate Gradient Method for Solving Nonlinear Nonsmooth Complementarity Problems
المؤلفون: Ajie Chu, Shouqiang Du, Yixiao Su
المصدر: Algorithms, Vol 8, Iss 4, Pp 1195-1209 (2015)
بيانات النشر: MDPI AG, 2015.
سنة النشر: 2015
المجموعة: LCC:Industrial engineering. Management engineering
LCC:Electronic computers. Computer science
مصطلحات موضوعية: smoothing Fischer-Burmeister function, conjugate gradient method, nonlinear nonsmooth complementarity problems, Industrial engineering. Management engineering, T55.4-60.8, Electronic computers. Computer science, QA75.5-76.95
الوصف: In this paper, by using the smoothing Fischer-Burmeister function, we present a new smoothing conjugate gradient method for solving the nonlinear nonsmooth complementarity problems. The line search which we used guarantees the descent of the method. Under suitable conditions, the new smoothing conjugate gradient method is proved globally convergent. Finally, preliminary numerical experiments show that the new method is efficient.
نوع الوثيقة: article
وصف الملف: electronic resource
اللغة: English
تدمد: 1999-4893
Relation: http://www.mdpi.com/1999-4893/8/4/1195; https://doaj.org/toc/1999-4893
DOI: 10.3390/a8041195
URL الوصول: https://doaj.org/article/e0496c84aa8742f89173e62696098fe4
رقم الأكسشن: edsdoj.0496c84aa8742f89173e62696098fe4
قاعدة البيانات: Directory of Open Access Journals
الوصف
تدمد:19994893
DOI:10.3390/a8041195