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QR algorithm
In numerical analysis of matrices, a QR algorithm is an eigenvalue algorithm; that is, a procedure to calculate the eigenvalues and eigenvectors of a matrix. The basic idea is to perform a QR decomposition, writing the matrix as a product of an orthogonal matrix and an upper triangular matrix, multiply the factors in the other order, and iterate.
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