https://github.com/smithb/lssurf
Utilities for performing smooth least-squares fits in Python
https://github.com/smithb/lssurf
icesat-2
Last synced: about 2 months ago
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Utilities for performing smooth least-squares fits in Python
- Host: GitHub
- URL: https://github.com/smithb/lssurf
- Owner: SmithB
- License: mit
- Created: 2019-01-16T21:38:27.000Z (over 6 years ago)
- Default Branch: master
- Last Pushed: 2025-01-15T04:04:03.000Z (5 months ago)
- Last Synced: 2025-04-18T17:19:40.345Z (about 2 months ago)
- Topics: icesat-2
- Language: Jupyter Notebook
- Homepage:
- Size: 1.05 MB
- Stars: 0
- Watchers: 1
- Forks: 3
- Open Issues: 0
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Metadata Files:
- Readme: README.md
- License: LICENSE
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README
# LSsurf
Utilities for performing smooth least-squares fits in PythonThese scripts include utilities for fitting smooth surfaces to data in a least-squares sense. They operate on the principle of building a design matrix while keeping track of the relationship between degrees of freedom and columns and between data, constraint parameters, and rows.