A Schur decomposition of a matrix is a factorization where one factor is unitary and the other is upper triangular. The diagonal entries of the upper triangular factor are the eigenvalues of the matrix. The Schur decomposition can be computed using the QR algorithm and has applications in computing matrix functions.
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