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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Veröffentlicht in:Applied numerical mathematics Jg. 74; S. 111 - 127
Hauptverfasser: Karchevsky, Andrey L., Klibanov, Michael V., Nguyen, Lam, Pantong, Natee, Sullivan, Anders
Format: Journal Article
Sprache:Englisch
Veröffentlicht: Elsevier B.V 01.12.2013
Schlagworte:
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
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Zusammenfassung: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.
Bibliographie:ObjectType-Article-1
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ObjectType-Feature-2
content type line 23
ISSN:0168-9274
1873-5460
DOI:10.1016/j.apnum.2013.09.003