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...
| 出版年: | Proceedings - 2022 International Conference on Computer and Drone Applications, IConDA 2022 |
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| 第一著者: | |
| フォーマット: | Conference paper |
| 言語: | English |
| 出版事項: |
Institute of Electrical and Electronics Engineers Inc.
2022
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| 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 |