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Iterative regularization methods for nonlinear ill posed problems

Více o knize

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.

Nákup knihy

Iterative regularization methods for nonlinear ill posed problems, Barbara Kaltenbacher

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Rok vydání
2008
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