Results 111 to 120 of about 2,659 (132)

On Quantum Relations. [PDF]

open access: yesEntropy (Basel)
Dubois F, Toffano Z.
europepmc   +1 more source
Some of the next articles are maybe not open access.

Computation of Eigenvectors and Eigenvalues and the Singular Value Decomposition

Statistics and Computing, 1998
Before we discuss methods for computing eigenvalues, we mention an interesting observation. Consider the polynomial, f(& λ), $$ {{\lambda }^{p}} + {{a}_{{p - 1}}}{{\lambda }^{{p - 1}}} + ... + {{a}_{1}}\lambda + {{a}_{0}} $$ Now form the matrix, A, $$ \left[ \begin{gathered} 0 1 0 ... 0 \hfill \\ 0 0 1 ... 0 \hfill \\ \ddots \hfill \\ 0 0 0 .
Gentle James E, James E Gentle
exaly   +2 more sources

Eigenvector derivatives of repeated eigenvalues using singular value decomposition

Journal of Guidance, Control, and Dynamics, 1989
An explicit formula is obtained for the first-order eigenvector derivative that corresponds to the eigenvector of a repeated eigenvalue, in the case of the nonself-adjoint eigenvalue problem. This method applies to the class of nondefective problems whose first eigenvalue derivatives of the repeated eigenvalues are distinct.
Kyong B. Lim   +2 more
openaire   +1 more source

A note on the eigenvalues, singular values, and eigenvectors of Toeplitz and Hankel matrices.

CoRR, 2022
Sven-Erik Ekström   +2 more
openaire   +1 more source

Nondegeneracy of eigenvectors and singular vector tuples of tensors

Science China Mathematics, 2022
Shenglong Hu, Hu Shenglong
exaly  

Effective construction of eigenvectors for a class of singular sparse matrices

Applied Mathematics Letters, 2019
Xiaoying Han, Habib Najm
exaly  

Singular and nonsingular eigenvectors for the Gaudin model

Journal of Mathematical Physics, 2001
Annamaria Kiss
exaly  

Strong Law for the singular values and eigenvectors of random matrices II

Random Operators and Stochastic Equations, 1998
V L Girko
exaly  

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