By Barbara Kaltenbacher,Andreas Neubauer,Otmar Scherzer
ISBN-10: 3110204207
ISBN-13: 9783110204209
Nonlinear inverse difficulties seem in lots of purposes, and usually they result in mathematical types which are ill-posed, i.e., they're volatile less than information perturbations. these difficulties require a regularization, i.e., a distinct numerical remedy. This ebook provides regularization schemes that are in keeping with new release tools, e.g., nonlinear Landweber new release, point set tools, multilevel equipment and Newton kind methods.
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Iterative Regularization Methods for Nonlinear Ill-Posed Problems (Radon Series on Computational and Applied Mathematics) by Barbara Kaltenbacher,Andreas Neubauer,Otmar Scherzer
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