Gram-Schmidt algorithm to orthonormalize a set of vectors.


Updated Wed, 03 Feb 2010 13:28:01 +0000

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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 (2023). Gram-Schmidt (, MATLAB Central File Exchange. Retrieved .

MATLAB Release Compatibility
Created with R14
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