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• W1136221010 startingPage "173" @default.
• W1136221010 abstract "In this chapter, we study a nonlinear inverse problem in linear elasticity relating to tumor identification by an equation error formulation. This approach leads to a variational inequality as a necessary and sufficient optimality condition. We give complete convergence analysis for the proposed equation error method. Since the considered problem is highly ill-posed, we develop a stable computational framework by employing a variety of proximal point methods and compare their performance with the more commonly used Tikhonov regularization." @default.
• W1136221010 created "2016-06-24" @default.
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• W1136221010 date "2015-01-01" @default.
• W1136221010 modified "2023-10-03" @default.
• W1136221010 title "Proximal Methods for the Elastography Inverse Problem of Tumor Identification Using an Equation Error Approach" @default.
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• W1136221010 doi "https://doi.org/10.1007/978-3-319-14490-0_7" @default.
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