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Regularization Theory for Ill-posed Problems
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The Inverse and Ill-Posed Problems Series is a series of monographs publishing postgraduate level information on inverse and ill-posed problems for an internati
Iterative Regularization Methods for Nonlinear Ill-Posed Problems
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Authors: Barbara Kaltenbacher
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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 pe
Ill-Posed Problems: Theory and Applications
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Recent years have been characterized by the increasing amountofpublications in the field ofso-called ill-posed problems. This is easilyunderstandable because we
Theory of Linear Ill-Posed Problems and its Applications
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This monograph is a revised and extended version of the Russian edition from 1978. It includes the general theory of linear ill-posed problems concerning e. g.
A Taste of Inverse Problems
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Authors: Martin Hanke
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Type: BOOK - Published: 2017-01-01 - Publisher: SIAM

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Inverse problems need to be solved in order to properly interpret indirect measurements. Often, inverse problems are ill-posed and sensitive to data errors. The