Stable Algorithm for Identification of Source Based on Dynamical Systems Methods

Junli Zhang, Guichun Han
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引用次数: 1

Abstract

The problem of source identification is ill-posed in the sense of hadamard, this means that small errors in the measurement may cause very large errors in the numerical result. In this paper, an inverse problem of source identification in heat conduction equations based on Dynamical Systems Methods (DMS) is proposed, and competes with classic Tikhonov regularization algorithms(TV), The numerical results demonstrate the algorithm based on Dynamical Systems Methods is stable and accurate.
基于动态系统方法的稳定源识别算法
源识别问题在哈达玛意义上是不适定的,这意味着测量中的小误差可能会导致数值结果的很大误差。本文提出了基于动力系统方法(DMS)的热传导方程源识别反问题,并与经典的Tikhonov正则化算法(TV)进行了比较。数值结果表明,基于动力系统方法的算法稳定、准确。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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