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MOROZOV'S DISCREPANCY PRINCIPLE FOR TIKHONOV-REGULARIZATION OF NONLINEAR OPERATORS
61
Citations
29
References
2002
Year
EngineeringVariational AnalysisDiscrepancy PrincipleInverse ProblemsNonlinear EquationFunctional AnalysisRegularization (Mathematics)Approximation TheoryNonlinear Operator EquationsConvergence Rate ResultNonlinear Functional Analysis
ABSTRACT We consider Morozov's discrepancy principle for Tikhonov-regularization of nonlinear operator equations. It is shown that minor restrictions to the operator F and the solution x* of the equation already guarantee the existence of a regularization parameter α such that holds, and a convergence rate result is given. Finally we investigate some practically relevant examples, e.g., medical imaging (Single Photon Emission Computed Tomography). It is illustrated that the introduced conditions on F will be met in general by a large class of nonlinear operators. Acknowledgments
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