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Mathematical modeling of the eigenvibrations for the loaded shallow shell [PDF]

open access: yesE3S Web of Conferences, 2023
The eigenvalue problems modeling of the eigenvibrations of the loaded shallow shell are studied. The asymptotic properties of the eigenvalues and eigenvectors are investigated in dependence on the load parameters.
Samsonov Anton, Solov’ev Sergey
doaj   +1 more source

A comparison of common factor-based methods for hyperspectral image exploration: principal components analysis, maximum autocorrelation factors (MAF), minimum noise factors (MNF) and maximum difference factors (MDF)

open access: yesJournal of Spectral Imaging, 2022
Principal components analysis (PCA), maximum autocorrelation factors (MAF), minimum noise factors (MNF) and maximum difference factors (MDF) models are common factor-based models used for analysis of hyperspectral images.
Neal B. Gallagher
doaj   +1 more source

Eigenvalues and eigenvectors for a hermitian gaussian operator: Role of the Schrödinger-Robertson uncertainty relation

open access: yesElectronic Research Archive, 2023
The eigenvalues and eigenvectors of a normalized gaussian operator do not seem to have been previously considered. I solve this problem for 1-dimensional translational systems.
R. F. Snider
doaj   +1 more source

Spectral properties for a type of heptadiagonal symmetric matrices

open access: yesAIMS Mathematics, 2023
In this paper we expressed the eigenvalues of a sort of heptadiagonal symmetric matrices as the zeros of explicit rational functions establishing upper and lower bounds for each of them. From the prescribed eigenvalues, we computed eigenvectors for these
João Lita da Silva
doaj   +1 more source

A Globally Convergent MCA Algorithm by Generalized Eigen-Decomposition [PDF]

open access: yesInternational Journal of Computational Intelligence Systems, 2011
Minor component analysis (MCA) are used in many applications such as curve and surface fitting, robust beam forming, and blind signal separation. Based on the generalized eigen-decomposition, we present a completely different approach that leads to ...
Jianbin Gao, Mao Ye, Jianping Li, Qi Xia
doaj   +1 more source

Fixed point index computations for multivalued mapping and application to the problem of positive eigenvalues in ordered space

open access: yesApplied General Topology, 2022
In this paper, we present some results on fixed point index calculations for multivalued mappings and apply them to prove the existence of solutions to multivalued equations in ordered space, under flexible conditions for the positive eigenvalue.
Vo Viet Tri
doaj   +1 more source

A Note on Eigenvalues and Asymmetric Graphs

open access: yesAxioms, 2023
This note is intended as a contribution to the study of quantitative measures of graph complexity that use entropy measures based on symmetry. Determining orbit sizes of graph automorphism groups is a key part of such studies. Here we focus on an extreme
Abdullah Lotfi   +2 more
doaj   +1 more source

Novel Hybrid Modified Modal Analysis and Continuation Power Flow Method for Unity Power Factor DER Placement

open access: yesEnergies, 2023
Distributed energy resource (DER) has become an effective attempt in promoting use of renewable energy resources for electricity generation. The core intention of this study is to expand an approach for optimally placing several DER units to attain the ...
Ardiaty Arief, Muhammad Bachtiar Nappu
doaj   +1 more source

Transient Stability Analysis of a Transmission Network Using Eigenvalue Principles with Automated VAR Compensation: A Case Study of the Nigerian Eastern Grid

open access: yesEnergies, 2021
Power systems may encounter disturbances during operation as a result of switching of various components, etc. Such perturbations include transformer tap-changing action, load variations, and line outages due to various types of faults of which an earth ...
Ewaoche John Okampo   +2 more
doaj   +1 more source

Invariant Subspaces: An Alternative for Introducing Eigenvectors and Eigenvalues

open access: yesAnnales de Didactique et de Sciences Cognitives, 2023
The concepts of eigenvalue and eigenvector are typically approached algorithmically in introductory linear algebra courses. However, a more conceptual orientation involves connecting these notions to the concept of one-dimensional invariant subspace ...
Gisela Camacho, Asuman Oktaç
doaj   +1 more source

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