Results 81 to 90 of about 36,142 (194)

A conjecture on the primitive degree of Tensors [PDF]

open access: yes, 2013
In this paper, we prove: Let A be a nonnegative primitive tensor with order m and dimension n. Then its primitive degree R(A)\leq (n-1)^2+1, and the upper bound is sharp.
He, Zilong, You, Lihua, Yuany, Pingzhi
core  

Autoregressive Hypergraph

open access: yesJournal of Time Series Analysis, EarlyView.
ABSTRACT Traditional graph representations are insufficient for modelling real‐world phenomena involving multi‐entity interactions, such as collaborative projects or protein complexes, necessitating the use of hypergraphs. While hypergraphs preserve the intrinsic nature of such complex relationships, existing models often overlook temporal evolution in
Xianghe Zhu, Qiwei Yao
wiley   +1 more source

Descent methods for Nonnegative Matrix Factorization [PDF]

open access: yes, 2008
In this paper, we present several descent methods that can be applied to nonnegative matrix factorization and we analyze a recently developped fast block coordinate method called Rank-one Residue Iteration (RRI).
Blondel, Vincent D.   +2 more
core   +2 more sources

On the spectral radius of a class of non-odd-bipartite even uniform hypergraphs

open access: yes, 2015
In order to investigate the non-odd-bipartiteness of even uniform hypergraphs, starting from a simple graph $G$, we construct a generalized power of $G$, denoted by $G^{k,s}$, which is obtained from $G$ by blowing up each vertex into a $k$-set and each ...
Fan, Yi-Zheng, Khan, Murad-ul-Islam
core   +1 more source

Measure‐valued processes for energy markets

open access: yesMathematical Finance, Volume 35, Issue 2, Page 520-566, April 2025.
Abstract We introduce a framework that allows to employ (non‐negative) measure‐valued processes for energy market modeling, in particular for electricity and gas futures. Interpreting the process' spatial structure as time to maturity, we show how the Heath–Jarrow–Morton approach can be translated to this framework, thus guaranteeing arbitrage free ...
Christa Cuchiero   +3 more
wiley   +1 more source

Population Changes and Emerging Challenges to Global Primary Education Provision

open access: yesPopulation and Development Review, EarlyView.
Abstract Global demographic changes in recent decades have sharply altered the contexts in which governments provide education. Focusing on primary education, we demonstrate, first, that recent demographic trends have been highly polarizing for education systems worldwide. Persistent expansionary pressures burden some of the least‐resourced educational
Emily Hannum, Jeonghyeok Kim, Fan Wang
wiley   +1 more source

Improving Neutron-Gamma Discrimination with Stilbene Organic Scintillation Detector Using Blind Nonnegative Matrix and Tensor Factorization Methods

open access: yesJournal of Spectroscopy, 2019
In order to perform highly qualified neutron-gamma discrimination in mixed radiation field, we investigate the application of blind source separation methods based on nonnegative matrix and tensor factorization algorithms as new and robust neutron-gamma ...
Hanane Arahmane   +2 more
doaj   +1 more source

A new S-type eigenvalue inclusion set for tensors and its applications

open access: yesJournal of Inequalities and Applications, 2016
In this paper, a new S-type eigenvalue localization set for a tensor is derived by dividing N = { 1 , 2 , … , n } $N=\{1,2,\ldots,n\}$ into disjoint subsets S and its complement.
Zheng-Ge Huang   +3 more
doaj   +1 more source

M-tensors and The Positive Definiteness of a Multivariate Form [PDF]

open access: yes, 2012
We study M-tensors and various properties of M-tensors are given. Specially, we show that the smallest real eigenvalue of M-tensor is positive corresponding to a nonnegative eigenvector.
Qi, Liqun, Zhang, Liping, Zhou, Guanglu
core  

Nonnegative Tensor Decomposition via Collaborative Neurodynamic Optimization

open access: yesSIAM Journal on Scientific Computing
This paper introduces a novel collaborative neurodynamic model for computing nonnegative Canonical Polyadic Decomposition (CPD). The model relies on a system of recurrent neural networks to solve the underlying nonconvex optimization problem associated with nonnegative CPD.
Salman Ahmadi-Asl   +3 more
openaire   +3 more sources

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