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Iterative Regularization Methods for Nonlinear Ill-Posed Problems (Computational and Applied Mathematics)
by Kaltenbacher ; Barbara
Binding: Hardcover, 1 edition, 196 pages
Publisher: Walter de Gruyter
Weight: 1.06 pound
Dimension: H: 0.63 x L: 9.69 x W: 6.93 inches
ISBN 10: 3110204207
ISBN 13: 9783110204209
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Book Description:
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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