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The set of vectors is passed like column vectors of a matrix.
This algorithm take advantage of the matrix form using sub matrix (more vectors at the same time).
I've tested it with a random 1000x1000 matrix (so 1000 vectors 1000x1) giving a result in 7.4863 sec (mean value on 5 executions... best time 7.2321)
Cite As
Vito Tafuni (2026). Gram-Schmidt (https://www.mathworks.com/matlabcentral/fileexchange/26583-gram-schmidt), MATLAB Central File Exchange. Retrieved .
Acknowledgements
Inspired: Gramschmidt matrix
General Information
- Version 1.0.0.0 (1.18 KB)
MATLAB Release Compatibility
- Compatible with any release
Platform Compatibility
- Windows
- macOS
- Linux
| Version | Published | Release Notes | Action |
|---|---|---|---|
| 1.0.0.0 |
