IEEE

Eigenvalue Decomposition of a Parahermitian Matrix: Extraction of Analytic Eigenvectors

Abstract: An analytic parahermitian matrix admits in almost all cases an eigenvalue decomposition (EVD) with analytic eigenvalues and eigenvectors. We have previously defined a discrete Fourier ...
GitHub

BUG: Different eigenvalue results between np.linalg.eigh and scipy.linalg.eigh for large matrices

For large data matrices the method np.linalg.eigh and scipy.linalg.eigh produce different results regarding the eigenvalues. I realize this behaviour only for matrices which have more than 40000 ...
JSTOR Daily

A unified matrix model including both CCA and F matrices in multivariate analysis: The largest eigenvalue and its applications

Let ${\mathrm{Z}}_{{\mathrm{M}}_{1}\times \mathrm{N}}={\mathrm{T}}^{\frac{1}{2}}\mathrm{X}$ where (T½)2 = T is a positive definite matrix and X consists of ...
JSTOR Daily

Inferences Relating to the Multiplicity of the Smallest Eigenvalue of a Correlation Matrix

This is a preview. Log in through your library . Abstract The minimum chi-squared test is obtained for testing the hypothesis that the smallest r eigenvalues of an m × m correlation matrix are equal, ...
Scientific Research Publishing

Chen, T.G. and Li, Y.Z. (2005) Coherent Matrix Eigenvalue and Eigenvalue Index of Polarimetric SAR Images and Its Application of Bayes Classification. Information and ...

ABSTRACT: A simple and fast approach based on eigenvalue similarity metric for Polarimetric SAR image segmentation of Land Cover is proposed in this paper. The approach uses eigenvalues of the ...