Levenberg-Marquardt算法
反问题
趋同(经济学)
数学
方案(数学)
非线性系统
电阻抗断层成像
数学优化
鉴定(生物学)
弗雷歇导数
算法
计算机科学
应用数学
电阻抗
人工神经网络
人工智能
巴拿赫空间
纯数学
经济
经济增长
数学分析
生物
工程类
物理
电气工程
植物
量子力学
作者
M. P. Rajan,Niloopher Salam
标识
DOI:10.1080/00036811.2023.2231225
摘要
AbstractParameter identification problems in PDEs are special class of nonlinear inverse problems which has many applications in science and technology. One such application is the Electrical Impedance Tomography (EIT) problem. Although many methods are available in literature to tackle nonlinear problems, the computation of Fréchet derivative is often a bottle neck for deriving the solution. Moreover, many assumptions are required to establish the convergence of such methods. In this paper, we propose a modified form of Levenberg–Marquardt scheme which does not require the knowledge of exact Fréchet derivative, instead, uses an approximate form of it and at the same time, no additional assumptions are required to establish the convergence of the scheme. We illustrate the theoretical result through numerical examples. In order to ensure that the proposed scheme can be applied to practical problems, we have applied the scheme to EIT problem and the reconstruction process clearly demonstrates that the method can be successfully applied to practical problems.Keywords: Parameter identification problemselectrical impedance tomographynonlinear ill-posed problemsregularizationiterative methodAMS Classifications: 65J1065J2065J2247L10 AcknowledgmentsWe profoundly thank the unknown referee(s) for their careful reading of the manuscript and valuable suggestions that significantly improved the presentation of the paper as well.Disclosure statementNo potential conflict of interest was reported by the author(s).
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