Results 91 to 100 of about 141,420 (324)

Stability Analysis of Discrete Hopfield Neural Networks with the Nonnegative Definite Monotone Increasing Weight Function Matrix

Discrete Dynamics in Nature and Society, 2009
The original Hopfield neural networks model is adapted so that the weights of the resulting network are time varying. In this paper, the Discrete Hopfield neural networks with weight function matrix (DHNNWFM) the weight changes with time, are considered,
Jun Li, Yongfeng Diao, Mingdong Li, Xing Yin   +3 more
doaj   +1 more source

A note on a relationship between the inverse eigenvalue problems for nonnegative and doubly stochastic matrices and some applications

, 2013
In this note, we establish some connection between the nonnegative inverse eigenvalue problem and that of doubly stochastic one. More precisely, we prove that if $(r; {\lambda}_2, ..., {\lambda}_n)$ is the spectrum of an $n\times n$ nonnegative matrix A ...
Mourad, Bassam
core  

Support-based lower bounds for the positive semidefinite rank of a nonnegative matrix [PDF]

, 2013
The positive semidefinite rank of a nonnegative $(m\times n)$-matrix~$S$ is the minimum number~$q$ such that there exist positive semidefinite $(q\times q)$-matrices $A_1,\dots,A_m$, $B_1,\dots,B_n$ such that $S(k,\ell) = \mbox{tr}(A_k^* B_\ell)$.
Dirk, Oliver Theis, Troy Lee
core  

Informed Dictionary‐Guided Monte Carlo Inversion for Robust and Reproducible Multidimensional MRI

Magnetic Resonance in Medicine, EarlyView.
ABSTRACT Purpose To develop a robust and efficient multidimensional MRI (MD‐MRI) data processing framework for accurately estimating joint frequency‐dependent diffusion‐relaxation distributions, while overcoming computational limitations and noise instability inherent to Monte Carlo (MC) inversion.
Joon Sik Park, Eppu Manninen, Yihong Yang, Dan Benjamini   +3 more
wiley   +1 more source

Infinitely divisible nonnegative matrices, $M$-matrices, and the embedding problem for finite state stationary Markov Chains

, 2017
This paper explicitly details the relation between $M$-matrices, nonnegative roots of nonnegative matrices, and the embedding problem for finite-state stationary Markov chains.
Van-Brunt, Alexander
core  

Scheduling Bodyguards

Naval Research Logistics (NRL), EarlyView.
ABSTRACT Security agencies around the world use bodyguards to protect government officials and public figures. In this paper, we consider a two‐person zero‐sum game between a defender who allocates such bodyguards to protect several targets and an attacker who chooses one target to attack.
Loe Schlicher, Kyle Y. Lin, Moshe Kress
wiley   +1 more source

Subset‐Row Inequalities and Unreachability in Path‐Based Formulations for Vehicle Routing and Scheduling Problems

Networks, EarlyView.
ABSTRACT This work considers branch‐price‐and‐cut algorithms for variants of the vehicle‐routing problem in which subset‐row inequalities (SRIs) are used to strengthen the linear relaxation. SRIs often help to substantially reduce the size of the branch‐and‐bound search tree.
Stefan Faldum, Timo Gschwind, Stefan Irnich   +2 more
wiley   +1 more source

Social Spammer Detection via Convex Nonnegative Matrix Factorization [PDF]

, 2022
Hua Shen, Bangyu Wang, Xinyue Liu, Xianchao Zhang   +3 more
openalex   +1 more source

Relation of Bulk‐to‐Shear Loss Factors in Viscoelastic Auxetic Metamaterials

physica status solidi (b), EarlyView.
This article examines the dynamic behavior of isotropic auxetic viscoelastic materials, highlighting how negative Poisson's ratios affect energy dissipation, damping, and the interplay between bulk and shear moduli. By extending established viscoelastic theories to the auxetic range, it defines bound limits and underscores how dynamic Poisson's ratio ...
Simon Preston, Julián Londoño‐Monsalve, Ken E. Evans   +2 more
wiley   +1 more source

Enhancing Hyperspectral Unmixing With Two-Stage Multiplicative Update Nonnegative Matrix Factorization

IEEE Access, 2019
Nonnegative matrix factorization (NMF) is a powerful tool for hyperspectral unmixing (HU). This method factorizes a hyperspectral cube into constituent endmembers and their fractional abundances.
Li Sun, Kang Zhao, Congying Han, Ziwen Liu   +3 more
doaj   +1 more source