Gram-Schmidt orthogonalization is a mathematical process used to convert a set of linearly independent vectors into an orthogonal set of vectors in a Euclidean space. This technique is crucial because orthogonal vectors simplify many calculations, particularly in numerical methods and projections, making it easier to work with vector spaces, especially in the context of lattices and integer programming.
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