Image de couverture de livre

Convergence analysis of Hermite approximations for analytic functions

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Wang, Haiyong, Zhang, Lun
Format:	Preprint
Publié:	2023
Sujets:	Numerical Analysis 41A25, 41A10, 41A05, 65D30
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Superconvergence points of Hermite spectral interpolation
par: Wang, Haiyong, et autres
Publié: (2025)

On the deterioration of convergence rate of spectral differentiations for functions with singularities
par: Wang, Haiyong
Publié: (2025)

Convergence analysis of Laguerre approximations for analytic functions
par: Wang, Haiyong
Publié: (2023)

Quasi-interpolation for high-dimensional function approximation
par: Gao, Wenwu, et autres
Publié: (2024)

Neural Network Operator-Based Fractal Approximation: Smoothness Preservation and Convergence Analysis
par: Bhat, Aaqib Ayoub, et autres
Publié: (2025)

The Fekete problem in segmental polynomial interpolation
par: Bruno, Ludovico Bruni, et autres
Publié: (2024)

Weighted approximate sampling recovery and integration based on B-spline interpolation and quasi-interpolation
par: Dũng, Dinh
Publié: (2025)

The error of Chebyshev approximations on shrinking domains
par: Jawecki, Tobias
Publié: (2024)

Deep ReLU networks and high-order finite element methods II: Chebyshev emulation
par: Opschoor, Joost A. A., et autres
Publié: (2023)

Comparative study on higher order compact RBF-FD formulas with Gaussian and Multiquadric radial functions
par: Yadav, Manoj Kumar, et autres
Publié: (2024)

Optimal approximation of infinite-dimensional holomorphic functions II: recovery from i.i.d. pointwise samples
par: Adcock, Ben, et autres
Publié: (2023)

Compression using Quasi-Interpolation
par: Buhmann, Martin, et autres
Publié: (2024)

Optimal asymptotic analyses on Laguerre and Hermite orthogonal approximation for functions of algebraic and logarithmic regularitiesYali
par: Zhang, Yali, et autres
Publié: (2026)

Nonlinear stationary subdivision schemes that reproduce trigonometric functions
par: Donat, Rosa, et autres
Publié: (2018)

Error bounds for numerical differentiation using kernels of finite smoothness
par: Davydov, Oleg
Publié: (2025)

Quasi-interpolation using generalized Gaussian kernels
par: Gao, Wenwu, et autres
Publié: (2024)

Multivariate Interpolation in Unisolvent Nodes -- Lifting the Curse of Dimensionality
par: Hecht, Michael, et autres
Publié: (2020)

Discontinuous piecewise polynomial approximation on non-Lipschitz domains
par: Hewett, D P
Publié: (2025)

A lattice algorithm with multiple shifts for function approximation in Korobov spaces
par: Cai, Mou, et autres
Publié: (2025)

On a nonlinear laplacian based filter for noise removal
par: Hoang, Nguyen S
Publié: (2024)

Constructive Approximation of High-Dimensional Functions with Small Efficient Dimension with Applications in Uncertainty Quantification
par: Rieger, Christian, et autres
Publié: (2024)

Constrained mock-Chebyshev least squares approximation for Hermite interpolation
par: Dell'Accio, Francesco, et autres
Publié: (2024)

Lattice algorithms for multivariate approximation in periodic spaces with general weight parameters
par: Cools, Ronald, et autres
Publié: (2019)

Optimal convergence of local discontinuous Galerkin methods for convection-diffusion equations
par: Liu, Wenjie, et autres
Publié: (2026)

Approximation by quadrilateral finite elements
par: Arnold, Douglas N., et autres
Publié: (2000)

Randomized least-squares with minimal oversampling and interpolation in general spaces
par: Chkifa, Abdellah, et autres
Publié: (2023)

Weighted least $\ell_p$ approximation on compact Riemannian manifolds
par: Li, Jiansong, et autres
Publié: (2024)

Random Projection Neural Networks of Best Approximation: Convergence theory and practical applications
par: Fabiani, Gianluca
Publié: (2024)

On the critical length conjecture for spherical Bessel functions in CAGD
par: Kounchev, Ognyan, et autres
Publié: (2025)

On the $L^p$-Convergence and Denoising Performance of Durrmeyer-Type Max-Min Neural Network Operators
par: Şahin, Berke, et autres
Publié: (2026)

Approximating functions on ${\mathbb R}^+$ by exponential sums
par: Kuznetsov, Alexey, et autres
Publié: (2025)

Multivariate Splines and Their Applications
par: Lai, Ming-Jun
Publié: (2024)

Polynomial approximation on $C^2$-domains
par: Dai, Feng, et autres
Publié: (2022)

Polynomial quasi-Trefftz DG for PDEs with smooth coefficients: elliptic problems
par: Imbert-Gérard, Lise-Marie, et autres
Publié: (2024)

Hyperinterpolation beyond exact cubature: a spectral multiplier approach
par: Wu, Hao-Ning
Publié: (2026)

Convergence and Near-optimal Sampling for Multivariate Function Approximations in Irregular Domains via Vandermonde with Arnoldi
par: Zhu, Wenqi, et autres
Publié: (2023)

On the Approximation of Singular Functions by Series of Non-integer Powers
par: Zhao, Mohan, et autres
Publié: (2023)

On the growth of the parameters of approximating ReLU neural networks
par: Morina, Erion, et autres
Publié: (2024)

Computing the unitary best approximant to the exponential function
par: Jawecki, Tobias
Publié: (2025)

On the Numerical Approximation of the Karhunen-Loève Expansion for Random Fields with Random Discrete Data
par: Griebel, Michael, et autres
Publié: (2024)