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that where the rows of are denoted as and the columns of as for Then clearly, the Euclidean inner product of any two This property can also be useful in constructing the inverse of a square matrix in some instances, where a set of orthogonal vectors (but not necessarily orthonormal vectors) to the columns of are known. In which case, one can apply the iterative Gram-Schmidt process to this initial set to determine the

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