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Description: The QR method is one of the most effective and widely used methods to find all the eigenvalues of a general matrix. In the application, the general matrix is transformed into an upper Hessenberg matrix (quasi-upper triangular matrix) through orthogonal similarity, and then the QR method is used to find Its eigenvalues and eigenvectors.
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|QR分解\QR分解.c|| 10436 || 2020-11-21
|QR分解|| 0 || 2020-11-21|