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一种快速收敛的迭代正则化方法

吕小红, 吴传生, 周 俊   

  1. 武汉理工大学 理学院, 武汉 430070
  • 收稿日期:2008-06-11 修回日期:1900-01-01 出版日期:2009-03-26 发布日期:2009-03-26
  • 通讯作者: 吕小红

A Fast Convergent Method of Iterated Regularization

LV Xiaohong, WU Chuansheng, ZHOU Jun   

  1. School of Sciences, Wuhan University of Technology, Wuhan 430070, China
  • Received:2008-06-11 Revised:1900-01-01 Online:2009-03-26 Published:2009-03-26
  • Contact: LV Xiaohong

摘要: 对于线性不适定问题, 基于Landweber迭代正则化方法 提出一种快速收敛的迭代正则化方法, 依据Morozov偏差原理, 采用后验选取正则化参数的方法得到了最优渐近收敛阶的正则化解. 数值实验结果表明, 该方法可以加快收敛速度, 降低计算量.

关键词: 不适定问题, 迭代正则化, Morozov偏差原理

Abstract: For linear illposed problems, the paper presents a fast convergent method of iterated regularization based on the idea of Landweber i terated regularization, and a method of aposteriori choice by the Morozov discrepancy principle, by which the optimum asymptotic convergence order of the regularized solution is obtained. Numerical test shows that the method of iterated regularization can quicken the convergence speed, reduce the calculation burden efficiently.

Key words: illposed problems, iterated regularization, Morozov discrepancy principle

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  • O241