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Enhanced Moss Growth Optimization with Benchmark Validation and a Wastewater Treatment Prediction Case Study. [PDF]
Li Z, Tang S.
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Interpretable Scalar-on-Image Linear Regression Models via the Generalized Dantzig Selector. [PDF]
Liao S, Sun X, Hao N, Zhang HH.
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Investigation of a Lyapunov delta-type inequality with respect to a discrete fractional Green's function. [PDF]
Mohammed PO, Arab M.
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Generalized Tensor Eigenvalue Problems
SIAM Journal on Matrix Analysis and Applications, 2015Summary: This paper is devoted to generalized tensor eigenvalue problems. We focus on the properties and perturbations of the spectra of regular tensor pairs. Employing different techniques, we extend several classical results from matrices or matrix pairs to tensor pairs, such as the Gershgorin circle theorem, the Collatz-Wielandt formula, the Bauer ...
Wei-Yang Ding, Yimin Wei
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Physics-Informed Neural Networks for Quantum Eigenvalue Problems
IEEE International Joint Conference on Neural Network, 2022Eigenvalue problems are critical to several fields of science and engineering. We expand on the method of using unsupervised neural networks for discovering eigenfunctions and eigenvalues for differential eigenvalue problems.
Henry Jin, M. Mattheakis, P. Protopapas
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On an Anisotropic Eigenvalue Problem
Results in Mathematics, 2023zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Zhenhai Liu, Nikolaos S. Papageorgiou
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Numerical Linear Algebra, 2020
To get a solution we opt to leave off the far boundary condition. Mathematica is telling us that we need to adjust l to special values to solve the problem. We first solve the ode and the u[0]=0 bondary condition.
M. McCready
semanticscholar +1 more source
To get a solution we opt to leave off the far boundary condition. Mathematica is telling us that we need to adjust l to special values to solve the problem. We first solve the ode and the u[0]=0 bondary condition.
M. McCready
semanticscholar +1 more source

