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

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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...

書誌詳細
出版年:	Journal of Engineering and Applied Sciences
第一著者:	2-s2.0-85052916904
フォーマット:	論文
言語:	English
出版事項:	Medwell Journals 2018
オンライン･アクセス:	https://www.scopus.com/inward/record.uri?eid=2-s2.0-85052916904&doi=10.3923%2fjeasci.2018.5442.5445&partnerID=40&md5=822e79dfab1cbbc4ca1e6247aba3db69

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