Two-parameter regularization of ill-posed spherical pseudo-differential equations in the space of continuous functions

被引:5
作者
Cao, Hui [1 ]
Pereverzyev, Sergei V. [2 ]
Sloan, Ian H. [3 ]
Tkachenko, Pavlo [2 ]
机构
[1] Sun Yat Sen Univ, Guangdong Prov Key Lab Computat Sci, Guangzhou 510275, Guangdong, Peoples R China
[2] Austrian Acad Sci, Johann Radon Inst Computat & Appl Math, A-4040 Linz, Austria
[3] Univ New S Wales, Sch Math & Stat, Sydney, NSW 2052, Australia
基金
澳大利亚研究理事会; 奥地利科学基金会;
关键词
Two-parameter regularization; Spherical pseudo-differential equations; Quasi-optimality criterion; SELF-REGULARIZATION; SCALE DISCRETE; APPROXIMATION; PROJECTION; SATURATION; CHOICE;
D O I
10.1016/j.amc.2015.10.053
中图分类号
O29 [应用数学];
学科分类号
070104 ;
摘要
In this paper, a two-step regularization method is used to solve an ill posed spherical pseudo differential equation in the presence of noisy data. For the first step of regularization we approximate the data by means of a spherical polynomial that minimizes a functional with a penalty term consisting of the squared norm in a Sobolev space. The second step is a regularizecl collocation method. An error bound is obtained in the uniform norm, which is potentially smaller than that for either the noise reduction alone or the regularized collocation alone. We discuss an a posteriori parameter choice, and present some numerical experiments, which support the claimed superiority of the two-step method. (C) 2015 Elsevier Inc. All rights reserved.
引用
收藏
页码:993 / 1005
页数:13
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