Cover Image

Kernel interpolation on generalized sparse grids

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Griebel, Michael, Harbrecht, Helmut, Multerer, Michael
Format:	Preprint
Published:	2025
Subjects:	Numerical Analysis 41A46, 41A63, 46E35
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Kernel interpolation in Sobolev spaces of hybrid regularity
by: Griebel, M., et al.
Published: (2025)

Function values are enough for $L_2$-approximation
by: Krieg, David, et al.
Published: (2019)

Escaping the native space of Sobolev kernels by interpolation
by: Ehring, Tobias, et al.
Published: (2025)

Best $m$-term trigonometric approximation in weighted Wiener spaces and applications
by: Moeller, Moritz, et al.
Published: (2025)

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

On best approximation by multivariate ridge functions with applications to generalized translation networks
by: Geuchen, Paul, et al.
Published: (2024)

High-dimensional sparse trigonometric approximation in the uniform norm and consequences for sampling recovery
by: Moeller, Moritz, et al.
Published: (2024)

Maximal noncompactness of embeddings into Marcinkiewicz spaces
by: Malý, Jan, et al.
Published: (2024)

Oscillations and differences in Besov-Morrey and Besov-type spaces
by: Hovemann, Marc, et al.
Published: (2024)

Time-Frequency Analysis for Neural Networks
by: Abdeljawad, Ahmed, et al.
Published: (2025)

Christoffel Adaptive Sampling for Sparse Random Feature Expansions
by: Adcock, Ben, et al.
Published: (2026)

A simple universal algorithm for high-dimensional integration
by: Goda, Takashi, et al.
Published: (2024)

Tree-Adaptive Multiscale Kernel Lasso in Samplet Coordinates
by: Avesani, Sara, et al.
Published: (2026)

An iterative method for the solution of Laplace-like equations in high and very high space dimensions
by: Yserentant, Harry
Published: (2024)

Sharp Lower Bounds on the Manifold Widths of Sobolev and Besov Spaces
by: Siegel, Jonathan W.
Published: (2024)

Bernstein widths of nonisotropic Nikolskii-Besov classes
by: Kudryavtsev, S. N.
Published: (2025)

Approximation by linear sampling operators in Banach spaces
by: Kolomoitsev, Yurii
Published: (2026)

A unified approach to inequalities for K-functionals and moduli of smoothness
by: Gogatishvili, Amiran, et al.
Published: (2023)

Spectral theory for fractal pseudodifferential operators
by: Triebel, Hans
Published: (2024)

Weighted Sobolev Approximation Rates for Neural Networks on Unbounded Domains
by: Abdeljawad, Ahmed, et al.
Published: (2024)

On the extension of a class of Hermite multivariate interpolation problems
by: Hakopian, Hakop, et al.
Published: (2025)

Transformed Snapshot Interpolation with High Resolution Transforms
by: Welper, G.
Published: (2019)

Optimal recovery of linear operators from information of random functions
by: Osipenko, K. Yu.
Published: (2024)

Scattered Data Histopolation in Averaging Kernel Hilbert Spaces
by: Bruno, Ludovico Bruni, et al.
Published: (2026)

Sampling discretization in Orlicz spaces
by: Kosov, Egor, et al.
Published: (2024)

SUPN: Shallow Universal Polynomial Networks
by: Morrow, Zachary, et al.
Published: (2025)

Lower Bound on the Representation Complexity of Antisymmetric Tensor Product Functions
by: Wang, Yuyang, et al.
Published: (2025)

Doubling the rate -- improved error bounds for orthogonal projection with application to interpolation
by: Sloan, Ian H., et al.
Published: (2023)

Sampling and entropy numbers in the uniform norm
by: Ullrich, Mario
Published: (2025)

A Class of Random-Kernel Network Models
by: Tian, James
Published: (2025)

Reconstructing derivatives from values of functions belonging to Nikolskii-Besov classes of mixed smoothness in domains of a certain kind
by: Kudryavtsev, S. N.
Published: (2022)

A new analysis of empirical interpolation methods and Chebyshev greedy algorithms
by: Li, Yuwen
Published: (2024)

A survey on sampling recovery
by: Dai, F., et al.
Published: (2026)

Marcinkiewicz-Zygmund inequalities in quasi-Banach function spaces
by: Kolomoitsev, Yurii, et al.
Published: (2024)

Explicit Universal and Approximate-Universal Kernels on Compact Metric Spaces
by: Tanguy, Eloi
Published: (2025)

A theoretical analysis on the inversion of matrices via Neural Networks designed with Strassen algorithm
by: Romera, Gonzalo, et al.
Published: (2025)

Korneichuk-Stechkin Lemma, Ostrowski and Landau inequalities, and optimal recovery problems for $L$-space Valued Functions
by: Babenko, Vladyslav, et al.
Published: (2020)

A Multiplicative Neural Network Architecture: Locality and Regularity of Approximation
by: Choi, Hee-Sun, et al.
Published: (2026)

On the Smoothness of Zero-Extensions
by: Agbanusi, Ikemefuna
Published: (2023)

Sampling recovery in $L_2$ and other norms
by: Krieg, David, et al.
Published: (2023)