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Iterative Regularization Methods for Nonlinear Ill-Posed Problems
Hardcover
Series: Radon Computational and Applied Mathematics, Book 6
ISBN13: 9783110204209
Publisher: De Gruyter
Published: May 20 2008
Pages: 202
Weight: 1.16
Height: 0.50 Width: 6.69 Depth: 9.61
Language: English
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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