A new two-step gradient-type method for large-scale unconstrained optimization

In this paper, we propose some improvements on a new gradient-type method for solving large-scale unconstrained optimization problems, in which we use data from two previous steps to revise the current approximate Hessian. The new method which we considered, resembles to that of Barzilai and Borwein...

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書誌詳細
主要な著者: Farid, Mahboubeh, Leong, Wah June, Abu Hassan, Malik
フォーマット: 論文
言語:English
出版事項: Pergamon Press 2010
オンライン・アクセス:http://psasir.upm.edu.my/id/eprint/12759/1/A%20new%20two.pdf
http://psasir.upm.edu.my/id/eprint/12759/
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