Sulaiman, I.M and Zamri, N. and Mamat, M. and Umar, A.O. and Waziri, M.Y. (2021) On damping parameters of Levenberg-Marquardt algorithm for nonlinear least square problems. In: 1st International Conference on Recent Trends in Applied Research, 14-15 Aug 2020, Nigeria, Virtual.
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Abstract
The Levenberg-Marquardt (LM) algorithm is a widely used method for solving problems related to nonlinear least squares. The method depends on a nonlinear parameter μ known as self-scaling parameter that affects the performance of the algorithm. In this paper we examine the effect of various choice of parameters and of relaxing the line search. Numerical results obtained are used to compare the performance using standard test problems which show that the proposed alternatives are promising.
Item Type: | Conference or Workshop Item (Paper) |
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Subjects: | Q Science > QA Mathematics Q Science > QA Mathematics > QA75 Electronic computers. Computer science |
Divisions: | Faculty of Informatics & Computing |
Depositing User: | Fatin Safura |
Date Deposited: | 17 Jan 2022 06:49 |
Last Modified: | 17 Jan 2022 06:49 |
URI: | http://eprints.unisza.edu.my/id/eprint/4744 |
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