A new steepest descent method with global convergence properties
One of the earliest and the best method to minimize a function is the classical steepest descent (SD) method. In this paper, a new modification of SD method is suggested using a new search direction, d k. The numerical results are presented based on number of iterations and CPU time. It shows that t...
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主要な著者: | Abidin, Z.Z., Mamat, M., Rivaie, M |
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フォーマット: | Conference or Workshop Item |
言語: | English |
出版事項: |
2016
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主題: | |
オンライン・アクセス: | http://eprints.unisza.edu.my/1111/1/FH03-FIK-16-06516.jpg http://eprints.unisza.edu.my/1111/ |
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