The Krein method and the globally convergent method for experimental data

被引：15

作者：

Karchevsky, Andrey L. ^{[1
]}

Klibanov, Michael V. ^{[2
]}

Lam Nguyen ^{[3
]}

Pantong, Natee ^{[4
]}

Sullivan, Anders ^{[3
]}

机构：

[1] Sobolev Math Inst, Novosibirsk 630090, Russia

[2] Univ N Carolina, Dept Math & Stat, Charlotte, NC 28223 USA

[3] US Army Res Lab, Adelphy, MD 20783 USA

[4] Royal Thai Air Force Acad, Dept Math & Comp Sci, Bangkok, Thailand

来源：

APPLIED NUMERICAL MATHEMATICS | 2013年 / 74卷

关键词：

1-d Coefficient Inverse Problems; Comparison of two methods; Calibration factor; INVERSE PROBLEM; EQUATION;

D O I：

10.1016/j.apnum.2013.09.003

中图分类号：

O29 [应用数学];

学科分类号：

070104 ;

摘要：

Comparison of numerical performances of two methods for coefficient inverse problems is described. The first one is the classical Krein integral equation method, and the second one is the recently developed approximately globally convergent numerical method. This comparison is performed for both computationally simulated and experimental data. (C) 2013 IMACS. Published by Elsevier B.V. All rights reserved.

引用

页码：111 / 127

页数：17

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