Regularization by dynamic programming

被引：3
|
作者：
Radon Institute for Computational and Applied Mathematics, Austrian Academy of Sciences, Altenbergerstrasse 69, A-4040 Linz, Austria [1 ]
不详 [2 ]
机构：
来源：
J Inverse Ill Posed Probl | 2007年 / 3卷 / 295-310期
基金：
奥地利科学基金会;
关键词：
D O I：
10.1515/JIIP.2007.016
中图分类号：
学科分类号：
摘要：
We investigate continuous regularization methods for linear inverse problems of static and dynamic type. These methods are based on dynamic programming approaches for linear quadratic optimal control problems. We prove regularization properties and also obtain rates of convergence for our methods. A numerical example concerning a dynamical electrical impedance tomography (EIT) problem is used to illustrate the theoretical results. © de Gruyter 2007.
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页码：295 / 310
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