The QR Method: A Transformation-Based Algorithm for Eigenvalue Computation
The QR method is a transformation-based algorithm recognized as one of the most effective approaches for computing all eigenvalues of general small-to-medium sized matrices.
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The QR method is a transformation-based algorithm recognized as one of the most effective approaches for computing all eigenvalues of general small-to-medium sized matrices.