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

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...

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Main Authors: Sulaiman, I.M, Zamri, N., Mamat, M., Umar, A.O., Waziri, M.Y.
Format: Conference or Workshop Item
Language:English
Published: 2021
Subjects:
QA Mathematics
QA75 Electronic computers. Computer science
Online Access:http://eprints.unisza.edu.my/4744/1/FH03-FIK-21-51446.pdf
http://eprints.unisza.edu.my/4744/
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spelling my-unisza-ir.47442022-01-17T06:49:17Z http://eprints.unisza.edu.my/4744/ On damping parameters of Levenberg-Marquardt algorithm for nonlinear least square problems Sulaiman, I.M Zamri, N. Mamat, M. Umar, A.O. Waziri, M.Y. QA Mathematics QA75 Electronic computers. Computer science 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. 2021 Conference or Workshop Item PeerReviewed text en http://eprints.unisza.edu.my/4744/1/FH03-FIK-21-51446.pdf 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.
institution Universiti Sultan Zainal Abidin
building UNISZA Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Sultan Zainal Abidin
content_source UNISZA Institutional Repository
url_provider https://eprints.unisza.edu.my/
language English
topic QA Mathematics
QA75 Electronic computers. Computer science
spellingShingle QA Mathematics
QA75 Electronic computers. Computer science
Sulaiman, I.M
Zamri, N.
Mamat, M.
Umar, A.O.
Waziri, M.Y.
On damping parameters of Levenberg-Marquardt algorithm for nonlinear least square problems
description 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.
format Conference or Workshop Item
author Sulaiman, I.M
Zamri, N.
Mamat, M.
Umar, A.O.
Waziri, M.Y.
author_facet Sulaiman, I.M
Zamri, N.
Mamat, M.
Umar, A.O.
Waziri, M.Y.
author_sort Sulaiman, I.M
title On damping parameters of Levenberg-Marquardt algorithm for nonlinear least square problems
title_short On damping parameters of Levenberg-Marquardt algorithm for nonlinear least square problems
title_full On damping parameters of Levenberg-Marquardt algorithm for nonlinear least square problems
title_fullStr On damping parameters of Levenberg-Marquardt algorithm for nonlinear least square problems
title_full_unstemmed On damping parameters of Levenberg-Marquardt algorithm for nonlinear least square problems
title_sort on damping parameters of levenberg-marquardt algorithm for nonlinear least square problems
publishDate 2021
url http://eprints.unisza.edu.my/4744/1/FH03-FIK-21-51446.pdf
http://eprints.unisza.edu.my/4744/
_version_ 1724079378771476480
score 13.188404

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