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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2021
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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. |
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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 |