Abstract
In order to apply nonlinear inversion methods to realistic data sets, effective
regularization methods for nonlinear inverse problems have to be developed. It
is remarkable that although significant progress has been made in the mathematical
developments of truly nonlinear inverse problems, only regularization
methods for weakly nonlinear inversion methods exist [13]. This makes that
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