Gram-Schmidt Orthogonalization is a mathematical process used to take a set of linearly independent vectors and generate an orthogonal set of vectors that spans the same subspace. This technique is particularly useful in linear algebra as it helps simplify the representation of vector spaces, making computations easier in contexts like Hilbert spaces, which involve infinite-dimensional spaces often encountered in quantum mechanics.
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