The Krein method and the globally convergent method for experimental data

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 com...

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Bibliographic Details
Published in:Applied numerical mathematics Vol. 74; pp. 111 - 127
Main Authors: Karchevsky, Andrey L., Klibanov, Michael V., Nguyen, Lam, Pantong, Natee, Sullivan, Anders
Format: Journal Article
Language:English
Published: Elsevier B.V 01.12.2013
Subjects:
1-d Coefficient Inverse Problems
Calibration factor
Coefficients
Comparison of two methods
Computation
Computer simulation
Integral equations
Inverse problems
Mathematical models
Numerical analysis
Calibration factor
Comparison of two methods
1-d Coefficient Inverse Problems
ISSN:0168-9274, 1873-5460
Online Access:Get full text
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Summary: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.
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ISSN:0168-9274
1873-5460
DOI:10.1016/j.apnum.2013.09.003