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Showing posts with the label Eigenvector

Eigenvectors Computed With Numpy's Eigh And Svd Do Not Match

Consider singular value decomposition M=USV*. Then the eigenvalue decomposition of M* M gives M* M=… Read more Eigenvectors Computed With Numpy's Eigh And Svd Do Not Match

Eigenvectors Created By Numpy.linalg.eig Don't Seem Correct

I create an arbitrary 2x2 matrix: In [87]: mymat = np.matrix([[2,4],[5,3]]) In [88]: mymat Out[88]… Read more Eigenvectors Created By Numpy.linalg.eig Don't Seem Correct

Unexpected Eigenvectors In Numpy

I have seen this question, and it is relevant to my attempt to compute the dominant eigenvector in … Read more Unexpected Eigenvectors In Numpy

Eigenanalysis Of Complex Hermitian Matrix: Different Phase Angles For Eig And Eigh

I understand that eigenvectors are only defined up to a multiplicative constant. As far as I see al… Read more Eigenanalysis Of Complex Hermitian Matrix: Different Phase Angles For Eig And Eigh

Different Results In Eigenvector Centrality Numpy

The following example gives different results obtained with eigenvector_centrality and eigenvector_… Read more Different Results In Eigenvector Centrality Numpy