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Hypergraph partitioning using tensor eigenvalue decomposition. [PDF]

open access: yesPLoS ONE, 2023
Hypergraphs have gained increasing attention in the machine learning community lately due to their superiority over graphs in capturing super-dyadic interactions among entities.
Deepak Maurya, Balaraman Ravindran
doaj   +2 more sources

Eigenvalue decomposition of a symmetric matrix over the symmetrized max-plus algebra

open access: yesDesimal, 2021
This paper discusses topics in the symmetrized max-plus algebra. In this study, it will be shown the existence of eigenvalue decomposition of a symmetric matrix over symmetrized max-plus algebra. Eigenvalue decomposition is shown by using a function that
Suroto Suroto
doaj   +2 more sources

Batched Eigenvalue Decomposition Algorithms for Hermitian Matrices on GPU [PDF]

open access: yesJisuanji kexue, 2023
Batched matrix computing problems are widely existed in scientific computing and engineering applications.With rapid performance improvements,GPU has become an important tool to solve such problems.The eigenvalue decomposition belongs to the two-sided ...
HUANG Rongfeng, LIU Shifang, ZHAO Yonghua
doaj   +1 more source

Approximate solutions of the Fourth-Order Eigenvalue Problem

open access: yesJournal of Advanced Research in Natural and Applied Sciences, 2022
In this paper, the differential transformation (DTM) and the Adomian decomposition (ADM) methods are proposed for solving fourth order eigenvalue problem. This fourth order eigenvalue problem has nonstrongly regular boundary conditions.
Derya Arslan
doaj   +1 more source

Subspace Speech Enhancement Algorithm Based on Eigenvalue Substitution [PDF]

open access: yesJisuanji gongcheng, 2016
A subspace speech enhancement approach is proposed for a better reconstructed speech quality.On the basis of Generalized Eigenvalue Decomposition(GEVD) subspace approach for speech enhancement,speech quality is improved by eigenvalue substitution.The ...
SUN Chengli,MU Junsheng
doaj   +1 more source

A comparative study of energy graph-based fault detection and isolation techniques applied to a lignite plant

open access: yesHeliyon, 2023
Energy and exergy interactions in industrial systems hold meaning across physical domains. This paper builds on the notion that capturing the energy and exergy interactions of a system, while retaining physical structural context, enables fault detection
Jan Hendrik Smith   +4 more
doaj   +1 more source

Applying Polarimetric Target Decomposition to 2D Turntable ISAR Imagery of a Complex Vehicle

open access: yesInternational Journal of Antennas and Propagation, 2022
The capabilities of polarimetric target decomposition in SAR-based ATR applications are investigated by using 2D turntable ISAR imagery of a T-72 tank. To characterize target’s anisotropic scattering properties, wide-angle case is considered through the ...
Sevket Demirci
doaj   +1 more source

Low‐rank isomap algorithm

open access: yesIET Signal Processing, 2022
Isomap is a well‐known nonlinear dimensionality reduction method that highly suffers from computational complexity. Its computational complexity mainly arises from two stages; a) embedding a full graph on the data in the ambient space, and b) a complete ...
Eysan Mehrbani, Mohammad Hossein Kahaei
doaj   +1 more source

Generalized eigenvalue approach for dynamic mode decomposition

open access: yesAIP Advances, 2021
Traditional dynamic mode decomposition (DMD) methods inevitably involve matrix inversion, which often brings in numerical instability and spurious modes.
Wei Zhang, Mingjun Wei
doaj   +1 more source

Notes on upper bounds for the largest eigenvalue based on edge-decompositions of a signed graph

open access: yesKuwait Journal of Science, 2023
The adjacency matrix of a signed graph has +1 or -1 for adjacent vertices, depending on the sign of the connecting edge. According to this concept, an ordinary graph can be interpreted as a signed graph without negative edges.
Zoran Stanić
doaj   +1 more source

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