Results 71 to 80 of about 16,329 (217)
Discrete Fourier Analysis and Chebyshev Polynomials with $G_2$ Group [PDF]
, 2012 The discrete Fourier analysis on the $30^{\degree}$-$60^{\degree}$-$90^{\degree}$ triangle is deduced from the corresponding results on the regular hexagon by considering functions invariant under the group $G_2$, which leads to the definition of four ...
Li, Huiyuan, Sun, Jiachang, Xu, Yuan
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Stochastic collocation on unstructured multivariate meshes
, 2015 Collocation has become a standard tool for approximation of parameterized systems in the uncertainty quantification (UQ) community. Techniques for least-squares regularization, compressive sampling recovery, and interpolatory reconstruction are becoming ...
Narayan, Akil, Zhou, Tao
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Starch - Stärke, Volume 78, Issue 1, January 2026.A native starch was extracted from ryegrass (Lolium multiflorum L.), yielding a high‐purity product with a significant starch content. The starch exhibited type A and V crystallinity, with a mean particle size (D50) ~7 nm, high swelling power, and low retrogradation tendency.
Thaís Silveira Pimenta +10 more
wiley +1 more source
, 2019 Spectral analysis connects graph structure to the eigenvalues and eigenvectors of associated matrices. Much of spectral graph theory descends directly from spectral geometry, the study of differentiable manifolds through the spectra of associated ...
Benson, Austin R. +2 more
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IET Control Theory &Applications, Volume 20, Issue 1, January/December 2026.This study presents a novel deep learning‐based fault classification framework utilising Variational Mode Decomposition (VMD) for adaptive feature extraction and a Multi‐branch Convolutional Neural Network (M1D‐CNN) architecture for classification. The VMD hyperparameters were optimised based on kurtosis to ensure the extraction of the most informative
Seyyid Ahmed Djellouli +4 more
wiley +1 more source
How fast do radial basis function interpolants of analytic functions converge? [PDF]
, 2009 The question in the title is answered using tools of potential theory. Convergence and divergence rates of interpolants of analytic functions on the unit interval are analyzed.
Platte, Rodrigo B.
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Multivariate Markov polynomial inequalities and Chebyshev nodes
Journal of Mathematical Analysis and Applications, 2008 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
openaire +2 more sources
Interpretable Multi‐Turbine Output Prediction of Offshore Wind Farms Based on FAGTTN Model
IET Renewable Power Generation, Volume 20, Issue 1, January/December 2026.This paper proposes a power prediction model feature attention graph convolutional neural network with temporal transformers (FAGTTN) for offshore wind farms based on the feature attention module, adaptive graph convolutional neural network (AGCN) and temporal transformers.
Xiangjing Su +5 more
wiley +1 more source
Is Gauss quadrature better than Clenshaw-Curtis? [PDF]
, 2006 We consider the question of whether Gauss quadrature, which is very famous, is more powerful than the much simpler Clenshaw-Curtis quadrature, which is less well-known.
Trefethen, Lloyd N.
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Fast algorithms for evaluating the stress field of dislocation lines in anisotropic elastic media
, 2017 In dislocation dynamics (DD) simulations, the most computationally intensive step is the evaluation of the elastic interaction forces among dislocation ensembles.
Arsenlis, A. +4 more
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