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: | , , , , |
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| Format: | Conference or Workshop Item |
| Language: | English |
| Published: |
2021
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| Subjects: | |
| Online Access: | http://eprints.unisza.edu.my/4744/1/FH03-FIK-21-51446.pdf http://eprints.unisza.edu.my/4744/ |
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