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
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

        
# LSsurf

Utilities for performing smooth least-squares fits in Python

These 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.