Results 11 to 20 of about 43,843 (312)
Eigenvectors and Reconstruction [PDF]
The Electronic Journal of Combinatorics, 2007 In this paper, we study the simple eigenvectors of two hypomorphic matrices using linear algebra. We also give new proofs of results of Godsil and McKay.
Hongyu He, He, Hongyu
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Tree decomposition by eigenvectors
Linear Algebra and its Applications, 2009 25 ...
Sander, T., Sander, J.W.
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The American Mathematical Monthly, 2022 The recursively-constructed family of Mandelbrot matrices $M_n$ for $n=1$, $2$, $\ldots$ have nonnegative entries (indeed just $0$ and $1$, so each $M_n$ can be called a binary matrix) and have eigenvalues whose negatives $-λ= c$ give periodic orbits under the Mandelbrot iteration, namely $z_k = z_{k-1}^2+c$ with $z_0=0$, and are thus contained in the ...
Neil J. Calkin +4 more
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Linearizable Eigenvector Nonlinearities
SIAM Journal on Matrix Analysis and Applications, 2022 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Rob Claes +3 more
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Tolerance problems for generalized eigenvectors of interval fuzzy matrices [PDF]
, 2022 summary:Fuzzy algebra is a special type of algebraic structure in which classical addition and multiplication are replaced by maximum and minimum (denoted $ \oplus $ and $ \otimes $, respectively).
Myšková, Helena +3 more
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Braingeneers-Education/WetAI-Eigenvectors: v0.0.2
, 2023 <p><strong>Full Changelog</strong>: https://github.com/Braingeneers-Education/WetAI-Eigenvectors/compare/v0.0.1...v0.0.2</p ...
Cordero Core, Matthew Elliott
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Convergence of Eigenvector Continuation [PDF]
Physical Review Letters, 2021 Eigenvector continuation is a computational method that finds the extremal eigenvalues and eigenvectors of a Hamiltonian matrix with one or more control parameters. It does this by projection onto a subspace of eigenvectors corresponding to selected training values of the control parameters.
Avik Sarkar, Dean Lee
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On the eigenvectors of p-Laplacian [PDF]
Machine Learning, 2010 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Dijun Luo +3 more
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How much can the orientation of G's eigenvectors tell us about genetic constraints? [PDF]
, 2012 A key goal in evolutionary quantitative genetics is to understand how evolutionary trajectories are constrained by pleiotropic coupling among multiple traits.
Daniel Berner, Berner, Daniel
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Eigenvectors of principal components.
, 2022 Eigenvectors of principal components.
Mitsuo Yoshida (12342470) +4 more
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