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Iterative Regularization Methods for Nonlinear Ill-Posed Problems
Barbara Kaltenbacher; Andreas Neubauer; Otmar Scherzer (Author)
·
De Gruyter
· Hardcover
Iterative Regularization Methods for Nonlinear Ill-Posed Problems - Barbara Kaltenbacher; Andreas Neubauer; Otmar Scherzer
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Synopsis "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.
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All books in our catalog are Original.
The book is written in English.
The binding of this edition is Hardcover.
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