Gram-Schmidt

Version 1.0.0.0 (1.18 KB) by Vito Tafuni
Gram-Schmidt algorithm to orthonormalize a set of vectors.
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Updated 3 Feb 2010

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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://se.mathworks.com/matlabcentral/fileexchange/26583-gram-schmidt), MATLAB Central File Exchange. Retrieved .

MATLAB Release Compatibility
Created with R14
Compatible with any release
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Acknowledgements

Inspired: Gramschmidt matrix

Version Published Release Notes
1.0.0.0