Iterative Regularization Methods for Nonlinear Ill-Posed Problems D-79111 Freiburg Langzeitfolgen

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Iterative Regularization Methods for Nonlinear Ill-Posed Problems D-79111 Freiburg LangzeitfolgenNonlinear inverse problems result from many applications, and typically they lead to mathematical models that are ill posed, i. e., they are unstable under data perturbations. Those problems require a regularization, i. e., a special numerical treatment. This book presents regularization schemes which are based on iteration methods. From the contents: Nonlinear Landweber iteration Modified Landweber methods Newton type methods Multilevel methods Level