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The Rotation of Eigenvectors by a Perturbation. III
, 1970When a Hermitian linear operator is slightly perturbed, by how much can its invariant subspaces change? Given some approximations to a cluster of neighboring eigenvalues and to the corresponding eigenvectors of a real symmetric matrix, and given an ...
Chandler Davis, W. Kahan
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, 2013
Ordinary least squares linear regression models are frequently used to analyze and model spatial phenomena. These models are useful and easily interpreted, and the assumptions, strengths, and weaknesses of these models are well studied and understood ...
J. Thayn, Joseph M. Simanis
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Ordinary least squares linear regression models are frequently used to analyze and model spatial phenomena. These models are useful and easily interpreted, and the assumptions, strengths, and weaknesses of these models are well studied and understood ...
J. Thayn, Joseph M. Simanis
semanticscholar +1 more source
Student understanding of linear combinations of eigenvectors
Zdm, 2019M. Wawro, K. Watson, Michelle Zandieh
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Axioms for centrality scoring with principal eigenvectors
Social Choice and Welfare, 2015Mitri Kitti
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Teaching eigenvalues and eigenvectors using models and APOS Theory
, 2015Hilda Salgado, M. Trigueros
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A Limit Theorem for Scaled Eigenvectors of Random Dot Product Graphs
Sankhya A, 2013A. Athreya+5 more
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On the Eigenvalues and Eigenvectors of a Lorentzian Rotation Matrix by Using Split Quaternions
, 2014M. Özdemir, M. Erdoğdu, H. Simsek
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