Results 41 to 50 of about 1,101,519 (253)

On Some Matrix Trace Inequalities

open access: yesJournal of Inequalities and Applications, 2010
We first present an inequality for the Frobenius norm of the Hadamard product of two any square matrices and positive semidefinite matrices. Then, we obtain a trace inequality for products of two positive semidefinite block matrices by using 2×2 ...
Ramazan Türkmen   +1 more
doaj   +2 more sources

Homogeneity Test of Multi-Sample Covariance Matrices in High Dimensions

open access: yesMathematics, 2022
In this paper, a new test statistic based on the weighted Frobenius norm of covariance matrices is proposed to test the homogeneity of multi-group population covariance matrices.
Peng Sun, Yincai Tang, Mingxiang Cao
doaj   +1 more source

Weighted Low Rank Approximation for Background Estimation Problems

open access: yes, 2017
Classical principal component analysis (PCA) is not robust to the presence of sparse outliers in the data. The use of the $\ell_1$ norm in the Robust PCA (RPCA) method successfully eliminates the weakness of PCA in separating the sparse outliers. In this
Dutta, Aritra, Li, Xin
core   +1 more source

Error bound of the multilevel adaptive cross approximation (MLACA) [PDF]

open access: yes, 2016
An error bound of the multilevel adaptive cross approximation (MLACA 1, which is a multilevel version of the adaptive cross approximation-singular value decomposition (ACA-SVD), is rigorously derived.
Cao, Qunsheng   +4 more
core   +2 more sources

Noisy low-rank matrix completion with general sampling distribution [PDF]

open access: yes, 2014
In the present paper, we consider the problem of matrix completion with noise. Unlike previous works, we consider quite general sampling distribution and we do not need to know or to estimate the variance of the noise.
Klopp, Olga
core   +2 more sources

Frobenius Norm-Based Global Stability Analysis of Delayed Bidirectional Associative Memory Neural Networks

open access: yesSymmetry
The present research investigates the global asymptotic stability of bidirectional associative memory (BAM) neural networks using distinct sufficient conditions.
N. M. Thoiyab   +3 more
semanticscholar   +1 more source

The nearest graph Laplacian in Frobenius norm

open access: yesNumerical Linear Algebra with Applications
AbstractWe address the problem of finding the nearest graph Laplacian to a given matrix, with the distance measured using the Frobenius norm. Specifically, for the directed graph Laplacian, we propose two novel algorithms by reformulating the problem as convex quadratic optimization problems with a special structure: one based on the active set method ...
Kazuhiro Sato, Masato Suzuki
openaire   +2 more sources

Extreme Ratio Between Spectral and Frobenius Norms of Nonnegative Tensors

open access: yesSIAM Journal on Matrix Analysis and Applications, 2023
One of the fundamental problems in multilinear algebra, the minimum ratio between the spectral and Frobenius norms of tensors, has received considerable attention in recent years. While most values are unknown for real and complex tensors, the asymptotic order of magnitude and tight lower bounds have been established.
Shengyu Cao   +3 more
openaire   +3 more sources

An Iterative Algorithm for the Generalized Reflexive Solutions of the Generalized Coupled Sylvester Matrix Equations

open access: yesJournal of Applied Mathematics, 2012
An iterative algorithm is constructed to solve the generalized coupled Sylvester matrix equations (AXB-CYD,EXF-GYH)=(M,N), which includes Sylvester and Lyapunov matrix equations as special cases, over generalized reflexive matrices X and Y.
Feng Yin, Guang-Xin Huang
doaj   +1 more source

Experimental Evaluation of Indoor Optical Wireless MIMO Systems With Square and Linear Array Constellations

open access: yesIEEE Photonics Journal, 2021
In this article, we investigate the performance of the newly designed 4 × 4 optical wireless multiple-input-multiple-output (MIMO-OWC) system based on a linearly-shaped arrangement of transmitters and receivers, to achieve long-distance and high ...
Tetsuya Nakamura   +4 more
doaj   +1 more source

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