Skip to content Skip to sidebar Skip to footer
Showing posts with the label Eigenvector
Eigenvectors Computed With Numpy's Eigh And Svd Do Not Match

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

Post a Comment
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
Unexpected Eigenvectors In Numpy

Unexpected Eigenvectors In Numpy

Post a Comment
I have seen this question, and it is relevant to my attempt to compute the dominant eigenvector in … Read more Unexpected Eigenvectors In Numpy
Quickly And Efficiently Calculating An Eigenvector For Known Eigenvalue

Quickly And Efficiently Calculating An Eigenvector For Known Eigenvalue

Post a Comment
Short version of my question: What would be the optimal way of calculating an eigenvector for a mat… Read more Quickly And Efficiently Calculating An Eigenvector For Known Eigenvalue
Eigenvectors Created By Numpy.linalg.eig Don't Seem Correct

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

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

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

Post a Comment
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