Title
A regularization framework for mildly ill-posed problems connected with pseudo-differential operator.
Abstract
Recently filter-based regularization methods have been well investigated for ill-posed problems when the forward operators are compact. There are many ill-posed problems connected with pseudo-differential operators. But there is no uniform method for this kind of problems. The work on generalization of filter-based regularization methods to pseudo-differential operator is necessary. In this paper, we present a regularization framework for solving the mildly ill-posed problems involved pseudo-differential operators. A general regularization method for this kind of problems is given. The order-optimal error estimates are derived under the usual source conditions. As an example, a new fractional Tikhonov regularization method could be cast into the general framework. Numerical experiments are conducted for showing the validity of the new fractional Tikhonov method.
Year
DOI
Venue
2018
10.1016/j.cam.2018.03.009
Journal of Computational and Applied Mathematics
Keywords
Field
DocType
65R35,53C35,22E46
Tikhonov regularization,Applied mathematics,Mathematical optimization,Well-posed problem,Pseudo-differential operator,Regularization (mathematics),Operator (computer programming),Mathematics
Journal
Volume
ISSN
Citations 
341
0377-0427
0
PageRank 
References 
Authors
0.34
4
4
Name
Order
Citations
PageRank
Xiang-Tuan Xiong17720.18
E. Zhuang200.34
Xuemin Xue301.01
Zhi Qian4417.81