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Bakushinsky, Anatoly B. / Kokurin, Mikhail M. / Kokurin, Mikhail Yu.
Regularization Algorithms for Ill-Posed Problems
Series:Inverse and Ill-Posed Problems Series 61
- Presents the state of the art on algorithms and methods for the regularization of ill-posed problems.
- Utilizes modern functional analytic techniques.
- Of interest to researchers and graduate students working in inverse and ill-posed problems.
Aims and Scope
This specialized and authoritative book presents the state of the art on iterative algorithms and methods for the regularization of a variety of ill-posed problems. Topics covered include iterative regularization of linear and nonlinear operator equations in Hilbert and Banach spaces, regularization of ill-posed Cauchy problems for operator differential equations, and regularization of nonlinear variational inequalities and optimization problems.