Results 81 to 90 of about 7,558 (300)

Linear transformations on nonnegative matrices

open access: yes, 1974
It is shown that if a linear transformation T on the space of n × n complex matrices maps nonnegative matrices into nonnegative matrices and preserves the spectrum of each nonnegative matrix, then T(A) = P−1AP or T(A) = P−1ATP for all matrices A and a ...
Minc, Henryk, Henryk Minc
core   +1 more source

A Novel Optimized Local Linearization Hybrid Block Method for Chaotic Systems: Applications to Stretch‐Twist‐Fold Flow and Bond Orbital Chaotic Attractors

open access: yesMathematical Methods in the Applied Sciences, EarlyView.
ABSTRACT The numerical approximation of nonlinear chaotic differential systems, such as the modified stretch‐twist‐fold (STF) flow and multi‐bond chaotic attractors, presents a significant challenge due to their sensitive dependence on initial conditions and complex dynamics where analytical solutions are unattainable.
Shina Daniel Oloniiju, Anastacia Dlamini
wiley   +1 more source

Spectra universally realizable by doubly stochastic matrices

open access: yesSpecial Matrices, 2018
A list of complex numbers Λ = { λ1, . . . , λn} is said to be realizable if it is the spectrum of an entrywise nonnegative matrix, and universally realizable if there exists a nonnegative matrix with spectrum Λ for each Jordan canonical form associated ...
Collao Macarena   +2 more
doaj   +1 more source

Properties of Nonnegative Hermitian Matrices and New Entropic Inequalities for Noncomposite Quantum Systems

open access: yesEntropy, 2015
We consider the probability distributions, spin (qudit)-state tomograms and density matrices of quantum states, and their information characteristics, such as Shannon and von Neumann entropies and q-entropies, from the viewpoints of both well-known ...
Margarita A. Man'ko, Vladimir I. Man'ko
doaj   +1 more source

Using underapproximations for sparse nonnegative matrix factorization [PDF]

open access: yes
Nonnegative Matrix Factorization (NMF) has gathered a lot of attention in the last decade and has been successfully applied in numerous applications.
GILLIS, Nicolas, GLINEUR, François
core  

VQ‐Wave: A Physics‐Driven Spatiotemporal Deep Learning Approach for Noncontrast‐Enhanced Lung Ventilation and Perfusion MRI

open access: yesMagnetic Resonance in Medicine, EarlyView.
ABSTRACT Purpose To develop a robust deep learning framework for noncontrast‐enhanced functional lung MRI, overcoming the limitations of spectral decomposition in the presence of physiological nonstationarity. Methods We introduce VQ‐Wave (Ventilation/Q‐perfusion Waveform‐based Assessment of Variable Evolutions), a physics‐driven spatiotemporal ...
Grzegorz Bauman   +3 more
wiley   +1 more source

Fuzzy Approximate Solution of Positive Fully Fuzzy Linear Matrix Equations

open access: yesJournal of Applied Mathematics, 2013
The fuzzy matrix equations A~⊗X~⊗B~=C~ in which A~, B~, and C~ are m×m, n×n, and m×n nonnegative LR fuzzy numbers matrices, respectively, are investigated.
Xiaobin Guo, Dequan Shang
doaj   +1 more source

Finite‐Time Disturbance Observer‐Based Nonlinear Robust Adaptive Control of Hydraulic Manipulator With Parameter Identification

open access: yesInternational Journal of Mechanical System Dynamics, EarlyView.
ABSTRACT Hydraulic manipulators exhibit strong coupling, pronounced nonlinearities, and significant modeling uncertainties, which hinder high‐precision motion control. This paper proposes a finite‐time disturbance observer–based nonlinear robust adaptive control (RAC‐FTDO) framework enhanced by a physically consistent dynamic parameter identification ...
Tianyu Gao   +3 more
wiley   +1 more source

A generalization of the graph Laplacian with application to a distributed consensus algorithm

open access: yesInternational Journal of Applied Mathematics and Computer Science, 2015
In order to describe the interconnection among agents with multi-dimensional states, we generalize the notion of a graph Laplacian by extending the adjacency weights (or weighted interconnection coefficients) from scalars to matrices.
Zhai Guisheng
doaj   +1 more source

Nonnegative factorization and the maximum edge biclique problem [PDF]

open access: yes
Nonnegative matrix factorization (NMF) is a data analysis technique based on the approximation of a nonnegative matrix with a product of two nonnegative factors, which allows compression and interpretation of nonnegative data. In this paper, we study the
GILLIS, Nicolas, GLINEUR, François
core  

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