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...
الحاوية / القاعدة: | Proceedings - 2022 International Conference on Computer and Drone Applications, IConDA 2022 |
---|---|
المؤلف الرئيسي: | 2-s2.0-85146657825 |
التنسيق: | Conference paper |
اللغة: | English |
منشور في: |
Institute of Electrical and Electronics Engineers Inc.
2022
|
الوصول للمادة أونلاين: | https://www.scopus.com/inward/record.uri?eid=2-s2.0-85146657825&doi=10.1109%2fICONDA56696.2022.10000382&partnerID=40&md5=54db9497ee051201347ecb910204daab |
مواد مشابهة
-
Screening the sensitivity of Least Square Algorithm implemented in digital protective relays
بواسطة: Ibrahim M.N.; Othman A.; Hamzah I.H.
منشور في: (2014) -
Do all elements of green intellectual capital contribute toward business sustainability? Evidence from the Malaysian context using the Partial Least Squares method
بواسطة: 2-s2.0-85067912041
منشور في: (2019) -
Solution for divergence problem of the Halley method in solving nonlinear equations using homotopy continuation method
بواسطة: 2-s2.0-85182564911
منشور في: (2024) -
Stochastic Gradient Descent with Positive Defined Stabilized Barzilai-Borwein method
بواسطة: Shi W.; Shuib A.; Alwadood Z.
منشور في: (2025) -
A new sufficient descent conjugate gradient method with exact line search
بواسطة: 2-s2.0-85076753588
منشور في: (2019)