Results 151 to 160 of about 55,051 (186)

A generalized skew-symmetric Lanczos bidiagonalization method for computing several extreme eigenpairs of a large skew-symmetric/symmetric positive definite matrix pair

arXiv.org
A generalized skew-symmetric Lanczos bidiagonalization (GSSLBD) method is proposed to compute several extreme eigenpairs of a large matrix pair $(A,B)$, where $A$ is skew-symmetric and $B$ is symmetric positive definite.
Jinzhi Huang
semanticscholar   +1 more source

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

, 1997
V. Girko
semanticscholar   +1 more source

Strong Law for the singular values and eigenvectors of random matrices III. Inequalities for the spectral radius of large random matrices

, 1999
V. Girko
semanticscholar   +1 more source

Fundamentals and developments in fluorescence-guided cancer surgery

Nature Reviews Clinical Oncology, 2021
Friso Achterberg, Aimen Zlitni, Merlijn Hutteman   +2 more
exaly  

Eigenvalues, Eigenvectors, and Singular Values

, 2007
G. Seber
semanticscholar   +1 more source

Singular value decomposition and least squares solutions

Milestones in Matrix Computation, 1970
G. Golub, C. Reinsch
semanticscholar   +1 more source

A Lanczos Algorithm for Computing Singular Values and Vectors of Large Matrices

, 1983
J. Cullum, R. Willoughby, M. Lake
semanticscholar   +1 more source

Some results on proper eigenvalues and eigenvectors with applications to scaling

, 1979
R. Mcdonald, Y. Torii, S. Nishisato
semanticscholar   +1 more source

Computing the small singular values of large matrices

IEEE Conference on Decision and Control, 1982
J. Cullum, R. Willoughby
semanticscholar   +1 more source

Improved singular filtering-Gaussian process regression-long short-term memory model for whole-life-cycle remaining capacity estimation of lithium-ion batteries adaptive to fast aging and multi-current variations

Energy, 2023
, Carlos Fernandez, Daniel Ioan Stroe
exaly