Eigenvalues and Eigenvectors

Part of the Statistics and Computing book series (SCO)


Finding the eigenvalues and eigenvectors of a symmetric matrix is one of the basic tasks of computational statistics. For instance, in principal components analysis [13], a random m-vector X with covariance matrix Ω is postulated.


Symmetric Matrix Diagonal Entry Symmetric Matrice Cluster Point Rayleigh Quotient 
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© Springer New York 2010

Authors and Affiliations

  1. 1.Departments of Biomathematics, Human Genetics, and Statistics David Geffen School of MedicineUniversity of California, Los AngelesLos AngelesUSA

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