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...
Saved in:
| Main Authors: | , , , , |
|---|---|
| Format: | Conference or Workshop Item |
| Language: | English |
| Published: |
2021
|
| Subjects: | |
| Online Access: | http://eprints.unisza.edu.my/4744/1/FH03-FIK-21-51446.pdf http://eprints.unisza.edu.my/4744/ |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| Institution: | Universiti Sultan Zainal Abidin |
| Language: | English |
| 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. |
|---|