Optimal control as a regularization method for ill-posed problems

被引：0

作者：

Department of Mathematics, UCLA, United States ^{[1
]}

不详 ^{[2
]}

不详 ^{[3
]}

机构：

来源：

J Inverse Ill Posed Probl | 2006年 / 7卷 / 685-703期

基金：

美国国家科学基金会;

关键词：

D O I：

10.1515/156939406779802022

中图分类号：

学科分类号：

摘要：

We describe two regularization techniques based on optimal control for solving two types of ill-posed problems. We include convergence proofs of the regularization method and error estimates. We illustrate our method through problems in signal processing and parameter identification using an efficient Riccati solver. Our numerical results are compared to the same examples solved using Tikhonov regularization. © VSP 2006.

引用

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