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Science/Engineering Iterative Regularization Methods for Nonlinear Ill-Posed Problems
Posted on 2010-03-15
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More Barbara Kaltenbacher “Iterative Regularization Methods for Nonlinear Ill-Posed Problems" Nonlinear inverse problems appear in 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, e.g., nonlinear Landweber iteration, level set methods, multilevel methods and Newton type methods. depositfiles.com easy-share filefactory "
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