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Computing Eigenvectors from Eigenvalues In an Arbitrary Orthonormal Basis (1912.04060v1)
Published 3 Dec 2019 in math.RA
Abstract: The method of computing eigenvectors from eigenvalues of submatrices can be shown as equivalent to a method of computing the constraint which achieves specified stationary values of a quadratic optimization. Similarly, we show computation of eigenvectors of an orthonormal basis projection using eigenvalues of sub-projections.
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