Why gram schmidt algoritm fails for dependent vectors?
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In mathematics, particularly linear algebra and numerical analysis,
the Gram–Schmidt process is a method for orthonormalising a set of vectors in an inner product space, most commonly the Euclidean space Rn equipped with the standard inner product.
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