Nonlinear Least Squares Problems Using Approximate Greatest Descent Method

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Nonlinear Least Squares Problems Using Approximate Greatest Descent Method

Many numerical methods have been developed and modified to solve nonlinear least squares (NLS) problems as unconstrained optimization problems. One of the challenges regarding the existing numerical methods in solving NLS problems is expensive computation of the Hessian matrix at every iteration. He...

書誌詳細
出版年:	Proceedings - 2022 International Conference on Computer and Drone Applications, IConDA 2022
第一著者:	2-s2.0-85146657825
フォーマット:	Conference paper
言語:	English
出版事項:	Institute of Electrical and Electronics Engineers Inc. 2022
オンライン･アクセス:	https://www.scopus.com/inward/record.uri?eid=2-s2.0-85146657825&doi=10.1109%2fICONDA56696.2022.10000382&partnerID=40&md5=54db9497ee051201347ecb910204daab

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