Results 1 to 10 of about 38,603 (174)
Applied Sciences, 2023 The calculation of accurate arbitrary-order sensitivities of eigenvalues and eigenvectors is crucial for structural analysis applications, including topology optimization, system identification, finite element model updating, damage detection, and fault ...
Juan C. Velasquez-Gonzalez +5 more
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Using principal eigenvectors of Laplacian-Plus matrix to identify spreaders of social networks under linear threshold diffusion model [PDF]
AUT Journal of Mathematics and Computing, 2022 Influence maximization (IM) is a challenging problem in social networks to identify initial spreaders with the best influence on other nodes. It is a need to solve this problem with the minimum diffusion time and the most coverage on the communities ...
Neda Binesh, Mehdi Ghatee
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An Improved Kinect Recognition Method for Identifying Unsafe Behaviors of Metro Passengers
Sensors, 2022 In order to solve the problem of the low action recognition accuracy of passengers’ unsafe behaviors caused by redundant joints, this study proposes an efficient recognition method based on a Kinect sensor.
Ying Lu +3 more
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Portfolio Optimization and Random Matrix Theory in Stock Exchange [PDF]
مدیریت نوآوری و راهبردهای عملیاتی, 2021 Purpose: This study aimed to optimize the stock portfolio based on stochastic matrix theory in the stock market and to answer whether the relevant information will exist using the Marčenko–Pastur distribution.Methodology: The data of 31 shares in the ...
mostafa heidari haratemeh
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Properties and Applications of a Symmetric Toeplitz Matrix Generated by
IEEE Access, 2023 Utilizing derivations for the properties of a symmetric Toeplitz matrix, we obtain analytical expressions for the performance evaluation of wireless communication systems using multiple antennas at the transmitter and/or the receiver, including those for
Ranjan K. Mallik, Ross Murch
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Dimension reduction of dynamical systems on networks with leading and non-leading eigenvectors of adjacency matrices [PDF]
Physical Review Research, 4, 023257 (2022), 2022 Dimension reduction techniques for dynamical systems on networks are considered to promote our understanding of the original high-dimensional dynamics. One strategy of dimension reduction is to derive a low-dimensional dynamical system whose behavior approximates the observables of the original dynamical system that are weighted linear summations of ...
arxiv +1 more source
Stochastic differential equations for random matrices processes in the nonlinear framework [PDF]
Opuscula Mathematica, 2018 In this paper, we investigate the processes of eigenvalues and eigenvectors of a symmetric matrix valued process \(X_{t}\), where \(X_{t}\) is the solution of a general SDE driven by a \(G\)-Brownian motion matrix.
Sara Stihi +2 more
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Dynamics of a Flexible Roof Test Model under Ambient Vibrations Measurements
Applied Sciences, 2023 Flexible roofs are sensitive to wind actions because they are light, and their deformability can induce local or global instability. In most cases, their design requires experimental wind tunnel testing to investigate the aeroelastic phenomena and the ...
Fabio Rizzo +7 more
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Mathematics, 2021 We study the persistence of eigenvalues and eigenvectors of perturbed eigenvalue problems in Hilbert spaces. We assume that the unperturbed problem has a nontrivial kernel of odd dimension and we prove a Rabinowitz-type global continuation result.
Pierluigi Benevieri +3 more
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Jordanian Journal of Computers and Information Technology, 2020 An accurate method for estimating the direction-of-arrival (DOA) jointly with the frequencies of an unknown number of source signals is proposed using the Eigen-approach. Using the minimum eigenvalues of the autocorrelation matrices produces both the DOA
Thabet Mismar
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