Asymptotic analysis in multivariate worst case approximation with Gaussian kernels
DOI10.1016/j.jco.2024.101838arXiv2306.14239OpenAlexW4391730738WikidataQ128292169 ScholiaQ128292169MaRDI QIDQ6193959
Publication date: 19 March 2024
Published in: Journal of Complexity (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/2306.14239
asymptotic analysisinformation-based complexitytractabilityworst case settingGaussian kernelsmultivariate approximation problems
Abstract approximation theory (approximation in normed linear spaces and other abstract spaces) (41A65) Multidimensional problems (41A63) Numerical solutions to equations with linear operators (65J10) Rate of convergence, degree of approximation (41A25) Complexity and performance of numerical algorithms (65Y20)
Cites Work
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- A simplified criterion for quasi-polynomial tractability of approximation of random elements and its applications
- Tractability of multivariate problems. Volume III: Standard information for operators
- Tractability of multivariate problems. Volume I: Linear information
- Tractability of multivariate problems. Volume II: Standard information for functionals.
- Multivariate approximation for analytic functions with Gaussian kernels
- Average case tractability of multivariate approximation with Gaussian kernels
- Probability theory. Edited by K. A. Borovkov. Transl. from the Russian by O. Borovkova and P. S. Ruzankin
- Asymptotic analysis in multivariate average case approximation with Gaussian kernels
- On Dimension-independent Rates of Convergence for Function Approximation with Gaussian Kernels
- Average Case Approximation: Convergence and Tractability of Gaussian Kernels
- Scattered Data Approximation
This page was built for publication: Asymptotic analysis in multivariate worst case approximation with Gaussian kernels