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...
| 出版年: | Journal of Engineering and Applied Sciences |
|---|---|
| 第一著者: | |
| フォーマット: | 論文 |
| 言語: | English |
| 出版事項: |
Medwell Journals
2018
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| 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 |