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: Yixiao Su, Shouqiang Du, Ajie Chu
المصدر: Algorithms
Volume 8
Issue 4
Pages 1195-1209
Algorithms, Vol 8, Iss 4, Pp 1195-1209 (2015)
بيانات النشر: MDPI AG, 2015.
سنة النشر: 2015
مصطلحات موضوعية: Numerical Analysis, Mathematical optimization, Line search, lcsh:T55.4-60.8, Derivation of the conjugate gradient method, smoothing Fischer-Burmeister function, lcsh:QA75.5-76.95, Theoretical Computer Science, Nonlinear conjugate gradient method, Computational Mathematics, Computational Theory and Mathematics, conjugate gradient method, nonlinear nonsmooth complementarity problems, Conjugate gradient method, lcsh:Industrial engineering. Management engineering, Conjugate residual method, lcsh:Electronic computers. Computer science, Gradient descent, Gradient method, Smoothing, Mathematics
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.
وصف الملف: application/pdf
تدمد: 1999-4893
URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1f1b2a5ecda8c3d9d9d3c49672a54e03
https://doi.org/10.3390/a8041195
حقوق: OPEN
رقم الأكسشن: edsair.doi.dedup.....1f1b2a5ecda8c3d9d9d3c49672a54e03
قاعدة البيانات: OpenAIRE