Least squares with minimum-norm solution
Least squares with minimum-norm solution
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Editor's Note: mex
This function calculates the minimum-norm solution of the least squares problem A*X = B. Where A is low-rank matrix. The function LSMIN is faster then the matlab alternative X = pinv(A)*B. Uses the LAPACK functions (S,C,D,Z)EGLSS or (S,C,D,Z)EGLSD.
Cite As
Ivo Houtzager (2026). Least squares with minimum-norm solution (https://github.com/iwoodsawyer/lsmin/releases/tag/v1.6.0.3), GitHub. Retrieved .
General Information
- Version 1.6.0.3 (8.48 KB)
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View License on GitHub
MATLAB Release Compatibility
- Compatible with any release
Platform Compatibility
- Windows
- macOS
- Linux
| Version | Published | Release Notes | Action |
|---|---|---|---|
| 1.6.0.3 | See release notes for this release on GitHub: https://github.com/iwoodsawyer/lsmin/releases/tag/v1.6.0.3 |
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| 1.6.0.2 | See release notes for this release on GitHub: https://github.com/iwoodsawyer/lsmin/releases/tag/v1.6.0.2 |
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| 1.6.0.1 | Fix compiler warnings |
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| 1.6.0.0 | Support for new Interleaved Complex API |
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| 1.5.0.0 | Update make_factor script for mingw64 compiler to link correct blas/lapack libraries to prevent access violation error. |
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| 1.4.0.0 | Fix make script for newer matlab versions |
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| 1.3.0.0 | Fix compilation errors with newer matlab version. |
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| 1.2.0.0 | add documentation |
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| 1.1.0.0 | Updated for new Matlab 64 bit versions |
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| 1.0.0.0 | new mex-files for R2008a |
