Results 121 to 130 of about 244,383 (211)
Abstract Large swarms often adopt a hierarchical network structure that incorporates information aggregation. Although this approach offers significant advantages in terms of communication efficiency and computational complexity, it can also lead to degradation due to information constraints.
Kento Fujita, Daisuke Tsubakino
wiley +1 more source
ESG Decoupling Phenomenon: A Systematic and Bibliometric Analysis
ABSTRACT ESG decoupling, defined as the gap between a firm's ESG disclosures and its actual practices, poses a critical challenge to corporate sustainability. Using the PRISMA protocol, 451 articles were selected for a comprehensive bibliometric and systematic literature review to map the intellectual structure and thematic evolution of the research on
Maryam Laeeq +2 more
wiley +1 more source
New approach to finding eigenvectors for repeated eigenvalues of a matrix
An efficient method of calculating eigenvectors for multiple eigenvalues of a matrix is proposed. This method is based on a formalized transformation of the problem of solving degenerate systems of equations into a regular problem by “repairing” their ...
Anatolii Petrenko
doaj +1 more source
Eigenvectors of Perturbed Operators
The main result of this article constitutes the following theorem: Let \(A:H\rightarrow H\) be a compact selfadjoint operator and \(f\) a strictly increasing differentiable function in the interval \(I.\) For \(z\in H\) form a family of compact selfadjoint operators \(A(t)=A+f(t)\langle\cdot,z \rangle z\).
openaire +1 more source
Lithium batteries constitute a pivotal component in electric vehicles (EVs) owing to their rechargeability and high‐power output capabilities. ABSTRACT Lithium batteries constitute a pivotal component in electric vehicles (EVs) owing to their rechargeability and high‐power output capabilities.
Mohsen Alizadeh Afroozi +4 more
wiley +1 more source
Robust Regularized Locality Preserving Indexing for Fiedler Vector Estimation
The Fiedler vector is the eigenvector associated with the algebraic connectivity of the graph Laplacian. It is central to graph analysis as it provides substantial information to learn the latent structure of a graph. In real-world applications, however,
Aylin Tastan +2 more
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A Markov approach to credit rating migration conditional on economic states
Abstract We develop a model for credit rating migration that accounts for the impact of economic state fluctuations on default probabilities. The joint process for the economic state and the rating is modelled as a time‐homogeneous Markov chain. While the rating process itself possesses the Markov property only under restrictive conditions, methods ...
Michael Kalkbrener, Natalie Packham
wiley +1 more source
Graph partitioning by Eigenvectors
Given a graph G on n vertices and \(z\in R^ n\), we say that a vertex of G is positive, nonnegative, null, etc. if the corresponding entry of z has that property. For z such that Az\(\geq \alpha z\) (A is the adjacency matrix of G) the number of components of the subgraph induced by positive vertices is bounded.
openaire +2 more sources
Multivariate Identification via Linear Projection of Eigenvectors
A data-driven system identification algorithm that utilizes eigenvectors is presented. The eigenvectors are extracted from a unified solution space comprising both input and output subspaces. To expand the input subspace, a higher-order subspace from the
Dong-Hwan Kim
doaj +1 more source
Vectorial Formalism of Polyphase Synchronous Machine With Permanents Magnets
This paper presents a mathematical model that transforms the real machine to fictitious machines and our goal is to simulate these and see the behavior of these machines in load.
Nacéra Bachir Bouiadjra +6 more
doaj

