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Iterative Regularization Methods for Nonlinear Ill-Posed Problems
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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
Well-posed, Ill-posed, and Intermediate Problems with Applications
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This book deals with one of the key problems in applied mathematics, namely the investigation into and providing for solution stability in solving equations wit
Regularization Algorithms for Ill-Posed Problems
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This specialized and authoritative book contains an overview of modern approaches to constructing approximations to solutions of ill-posed operator equations, b
Methods for Solving Incorrectly Posed Problems
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Some problems of mathematical physics and analysis can be formulated as the problem of solving the equation f € F, (1) Au = f, where A: DA C U + F is an opera