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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主要な著者: | , , |
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フォーマット: | 論文 |
言語: | English |
出版事項: |
Pergamon Press
2010
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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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