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An Improvement of Computing Newton’s Direction for Finding Unconstrained Minimizer for Large-Scale Problems with an Arrowhead Hessian Matrix

In large-scale problems, classical Newton’s method requires solving a large linear system of equations resulting from determining the Newton direction. This process often related as a very complicated process, and it requires a lot of computation (either in time calculation or memory requirement per...

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書誌詳細
主要な著者:	Khadizah Ghazali, Jumat Sulaiman, Yosza Dasril, Darmesah Gabda
フォーマット:	Conference or Workshop Item
言語:	English
出版事項:	2020
オンライン･アクセス:	https://eprints.ums.edu.my/id/eprint/25538/1/An%20Improvement%20of%20Computing%20Newton%E2%80%99s%20Direction%20for%20Finding%20Unconstrained%20Minimizer.pdf https://eprints.ums.edu.my/id/eprint/25538/
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