The Gel'fand-Levitan-Krein method and the globally convergent method for
experimental data [PDF]
Andrey L. Karchevsky, Michael V. Klibanov, Lam Nguyen, Natee Pantong, Anders SullivanComparison of numerical performances of two methods for coefficient inverse problems is described. The first one is the classical Gel'fand-Levitan-Krein 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.View original: http://arxiv.org/abs/1303.3941
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