A new scaled steepest descent method for unconstrained optimization with global convergence properties

The steepest descent method is the simplest gradient method for solving unconstrained optimization problems. In this study, a new scaled search direction of steepest descent method is proposed. The proposed method is motivated by Andrei's approach of scaled conjugate gradient method. The numeri...

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发表在:Journal of Engineering and Applied Sciences
主要作者: 2-s2.0-85052916904
格式: 文件
语言:English
出版: Medwell Journals 2018
在线阅读:https://www.scopus.com/inward/record.uri?eid=2-s2.0-85052916904&doi=10.3923%2fjeasci.2018.5442.5445&partnerID=40&md5=822e79dfab1cbbc4ca1e6247aba3db69