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Titlebook: Ill-Posed Problems: Theory and Applications; A. Bakushinsky,A. Goncharsky Book 1994 Springer Science+Business Media Dordrecht 1994 Approxi

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Iterative methods for solving non-linear ill-posed operator equations with non-monotonic operators,. The analysis given in this chapter does not use the assumption of monotony. As usual, we concentrate on the cases when the conditions ensuring convergence of traditional iterative techniques are not satisfied.
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Application of regularizing algorithms to solving practical problems,ed problems. Numerical implementation of these techniques can be successfully applied to mathematical modelling as well as to solving the inverse problems. In this chapter we present only a few examples characterizing the opportunities of the mathematical tools described in this book.
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Applications of the principle of iterative regularization,In this chapter we discuss the opportunities unveiled by the iterative regularization technique in the traditional applications of computer science. This technique allows to construct theoretically approved iterative algorithms in circumstances when the classical approaches are either inapplicable, or associated with considerable difficulties.
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978-94-010-4447-9Springer Science+Business Media Dordrecht 1994
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A. Bakushinsky,A. Goncharskyion, photochemical control of protein and cellular function, and chemical probes for imaging in the nervous system. Written in the successful .Methods in Molecular Biology™. series format, chapters include introductions to their respective topics, lists of the necessary materials and reagents, step-
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