https://github.com/abnerbog/levenberg-marquardt-method

Python implementation of Levenberg-Marquardt algorithm built from scratch using NumPy.
https://github.com/abnerbog/levenberg-marquardt-method

curve-fitting levenberg-marquardt nonlinear-regression numpy

Last synced: about 13 hours ago
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Python implementation of Levenberg-Marquardt algorithm built from scratch using NumPy.

• Host: GitHub
• URL: https://github.com/abnerbog/levenberg-marquardt-method
• Owner: abnerbog
• Created: 2022-10-26T16:35:00.000Z (about 2 years ago)
• Default Branch: main
• Last Pushed: 2022-11-13T22:42:09.000Z (about 2 years ago)
• Last Synced: 2025-01-16T11:28:00.080Z (1 day ago)
• Topics: curve-fitting, levenberg-marquardt, nonlinear-regression, numpy
• Language: Python
• Homepage:
• Size: 6.12 MB
• Stars: 84
• Watchers: 4
• Forks: 6
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
# levenberg-marquardt-method

Python implementation of Levenberg-Marquardt algorithm built from scratch using NumPy. Code adapted from [Gavin, H.P. (2020), The Levenberg-Marquardt algorithm for 

nonlinear least squares curve-fitting problems](https://people.duke.edu/~hpgavin/ce281/lm.pdf).



### How to Use:

- Input raw data and initial guesses of parameter values into [example_LM.py](example_LM.py) (contains main function)

    - Test data and inputs included for reference

- Change model fitting equation in [levenberg_marquardt.py](levenberg_marquardt.py) via 'lm_func' function