Structured symmetric rank-one method for unconstrained optimization
In this paper, we investigate a symmetric rank-one (SR1) quasi-Newton (QN) formula in which the Hessian of the objective function has some special structure. Instead of approximating the whole Hessian via the SR1 formula, we consider an approach which only approximates part of the Hessian matrix tha...
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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: |
Taylor & Francis
2011
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オンライン・アクセス: | http://psasir.upm.edu.my/id/eprint/25072/1/Structured%20symmetric%20rank.pdf http://psasir.upm.edu.my/id/eprint/25072/ http://www.tandfonline.com/doi/abs/10.1080/00207160.2011.553220 |
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