Probability Error Bounds for Approximation of Functions in Reproducing Kernel Hilbert Spaces
We find probability error bounds for approximations of functions f in a separable reproducing kernel Hilbert space H with reproducing kernel K on a base space X, firstly in terms of finite linear combinations of functions of type Kxi and then in terms of the projection πxn on spanKxii=1n, for random...
Saved in:
Main Authors: | Ata Deniz Aydın, Aurelian Gheondea |
---|---|
Format: | Article |
Language: | English |
Published: |
Wiley
2021-01-01
|
Series: | Journal of Function Spaces |
Online Access: | http://dx.doi.org/10.1155/2021/6617774 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Beurling-Type Theorem for a Class of Reproducing Kernel Hilbert Spaces
by: Zhi-jie Wang, et al.
Published: (2022-01-01) -
A Novel Method for Solving KdV Equation Based on Reproducing Kernel Hilbert Space Method
by: Mustafa Inc, et al.
Published: (2013-01-01) -
Solving a Class of Singular Fifth-Order Boundary Value Problems Using Reproducing Kernel Hilbert Space Method
by: Yulan Wang, et al.
Published: (2013-01-01) -
Duality by reproducing kernels
by: A. Shlapunov, et al.
Published: (2003-01-01) -
On Accuracy and Stability Analysis of the Reproducing Kernel Space Method for the Forced Duffing Equation
by: Bahram Asadi, et al.
Published: (2016-01-01)