Results 11 to 20 of about 12,585,660 (209)
The Quadratic Eigenvalue Problem [PDF]
The authors review current knowledge of the matrix quadratic eigenvalue problem, \[ (\lambda ^2 M+\lambda C+K)x=0, \qquad y^* (\lambda ^2 M+\lambda C+K)=0, \tag{1} \] including its main applications and its numerical solution, and give an excellent guide to the literature.
Françoise Tisseur, Karl Meerbergen
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Automatic rational approximation and linearization of nonlinear eigenvalue problems [PDF]
We present a method for solving nonlinear eigenvalue problems (NEPs) using rational approximation. The method uses the Antoulas–Anderson algorithm (AAA) of Nakatsukasa, Sète and Trefethen to approximate the NEP via a rational eigenvalue problem.
Pieter Lietaert +3 more
semanticscholar +1 more source
Deep convolutional neural networks for eigenvalue problems in mechanics [PDF]
We show that deep convolutional neural networks (CNNs) can massively outperform traditional densely connected neural networks (NNs) (both deep or shallow) in predicting eigenvalue problems in mechanics.
D. Finol +3 more
semanticscholar +1 more source
Fractional eigenvalue problems on $\mathbb{R}^N$
Let $N\geq 2$ be an integer. For each real number $s\in(0,1)$ we denote by $(-\Delta)^s$ the corresponding fractional Laplace operator. First, we investigate the eigenvalue problem $(-\Delta)^s u=\lambda V(x)u$ on $\mathbb{R}^N$, where $V:\mathbb{R}^N ...
Andrei Grecu
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Fractional Sturm–Liouville Eigenvalue Problems, II
We continue the study of a non-self-adjoint fractional three-term Sturm–Liouville boundary value problem (with a potential term) formed by the composition of a left Caputo and left Riemann–Liouville fractional integral under Dirichlet type boundary ...
Mohammad Dehghan, Angelo B. Mingarelli
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The nonconforming Virtual Element Method for eigenvalue problems [PDF]
We analyse the nonconforming Virtual Element Method (VEM) for the approximation of elliptic eigenvalue problems. The nonconforming VEM allows to treat in the same formulation the two- and three-dimensional case.
F. Gardini, G. Manzini, G. Vacca
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A constrained eigenvalue problem [PDF]
For the problem of finding \(Min(x^ TAx)\) for a symmetric matrix A subject to \(x^ Tx=1\) and \(N^ Tx=t\) theoretical and numerical methods are described. First the linear constraint is removed and then Lagrange multipliers are employed reducing the problem to solve either a secular equation or a quadratic eigenvalue problem.
Gander, Walter +2 more
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FEAST Eigensolver for Nonlinear Eigenvalue Problems [PDF]
The linear FEAST algorithm is a method for solving linear eigenvalue problems. It uses complex contour integration to calculate the eigenvectors whose eigenvalues that are located inside some user-defined region in the complex plane.
Brendan Gavin, A. Miedlar, E. Polizzi
semanticscholar +1 more source
Structured Eigenvalue Problems [PDF]
AbstractMost eigenvalue problems arising in practice are known to be structured. Structure is often introduced by discretization and linearization techniques but may also be a consequence of properties induced by the original problem. Preserving this structure can help preserve physically relevant symmetries in the eigenvalues of the matrix and may ...
Fassbender, Heike, Kressner, Daniel
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Sensitivity analysis of waveguide eigenvalue problems [PDF]
We analyze the sensitivity of dielectric waveguides with respect to design parameters such as permittivity values or simple geometric dependencies. Based on a discretization using the Finite Integration Technique the eigenvalue problem for the wave ...
N. Burschäpers +3 more
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