A computational method for stable analytic continuation

被引：0
|
作者：
Ailin Qian
机构：
[1] Hubei University of Science and Technology,Department of Mathematics and Statistics
来源：
Calcolo | 2013年 / 50卷
关键词：
Analytic continuation; Ill-posed problem; Regularization; Modified kernel method; Regularization parameter; 35R30;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
The problems of analytic continuation are, in general, severely ill-posed. In this paper we proposed a modified kernel method to solve this problem on a strip domain. The convergence estimates with an appropriate choice of the regularization parameter are obtained. Some numerical tests show that the proposed methods are effective.
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页码：111 / 122
页数：11
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