| _version_ |
1860796915762855936
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| building |
INTELEK Repository
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| collection |
Online Access
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| collectionurl |
https://intelek.unisza.edu.my/intelek/pages/search.php?search=!collection407072
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| date |
2021-03-14 03:21:53
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| eventvenue |
Nigeria, Virtual
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| format |
Restricted Document
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| id |
10670
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| institution |
UniSZA
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| originalfilename |
4744-01-FH03-FIK-21-51446.pdf
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| person |
Mozilla/5.0 (Windows NT 6.1; Win64; x64) AppleWebKit/537.36 (KHTML
like Gecko) Chrome/88.0.4324.190 Safari/537.36
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| recordtype |
oai_dc
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| resourceurl |
https://intelek.unisza.edu.my/intelek/pages/view.php?ref=10670
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| spelling |
10670 https://intelek.unisza.edu.my/intelek/pages/view.php?ref=10670 https://intelek.unisza.edu.my/intelek/pages/search.php?search=!collection407072 Restricted Document Conference Conference Paper application/pdf 6 1.6 Mozilla/5.0 (Windows NT 6.1; Win64; x64) AppleWebKit/537.36 (KHTML like Gecko) Chrome/88.0.4324.190 Safari/537.36 Skia/PDF m88 2021-03-14 03:21:53 4744-01-FH03-FIK-21-51446.pdf UniSZA Private Access 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 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. 1st International Conference on Recent Trends in Applied Research Nigeria, Virtual
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| spellingShingle |
On damping parameters of Levenberg-Marquardt algorithm for nonlinear least square problems
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| summary |
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.
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| title |
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
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| title_short |
On damping parameters of Levenberg-Marquardt algorithm for nonlinear least square problems
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| title_sort |
on damping parameters of levenberg-marquardt algorithm for nonlinear least square problems
|