On damping parameters of Levenberg-Marquardt algorithm for nonlinear least square problems

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.

[img] Text
FH03-FIK-21-51446.pdf
Restricted to Registered users only
Download (507kB)

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)
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

Actions (login required)

View Item View Item
Welcome to UniSZA Institutional Repository (UniSZA-IR) is powered by EPrints 3 which is developed by the School of Electronics and Computer Science at the University of Southampton. More information and software credits.