Modified Gram-Schmidt is an algorithm used to orthogonalize a set of vectors in a finite-dimensional inner product space, improving numerical stability over the classical Gram-Schmidt process. This method systematically eliminates the components of each vector along the directions of previously orthogonalized vectors, ensuring that the resulting set is orthogonal and useful for applications such as orthogonal projections.
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