Title
Regularization in a functional reproducing kernel Hilbert space
Abstract
We consider solving a system of semi-discrete first kind integral equations with a right-hand-side being a finite dimensional vector of sampling values and propose a regularization method for the system in a functional reproducing kernel Hilbert space (FRKHS), where the linear functionals that define the semi-discrete integral operator are continuous. A representer theorem for the regularization method is established, which reduces the infinite dimensional problem to a finite dimensional linear system and expresses its solution as a linear combination of the FRKHS kernel sessions. We construct specific FRKHSs and their associated kernels for reconstruction of a function from Radon data, and develop related regularization methods for the reconstruction. We present numerical results which demonstrate that the proposed regularization method outperforms either the traditional Tikhonov regularization in the L2 space or the regularization in the classical reproducing kernel Hilbert space.
Year
DOI
Venue
2021
10.1016/j.jco.2021.101567
Journal of Complexity
Keywords
DocType
Volume
Regularization,Semi-discrete first kind integral equations,Functional reproducing kernel Hilbert space,Kernel,Representer theorem
Journal
66
ISSN
Citations 
PageRank 
0885-064X
0
0.34
References 
Authors
0
2
Name
Order
Citations
PageRank
Rui Wang185.36
Yuesheng Xu255975.46