Abstract
In the previous chapters of this book we have advanced and mathematically justified various techniques designed to solve the wide range of the ill-posed 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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© 1994 Springer Science+Business Media Dordrecht
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Bakushinsky, A., Goncharsky, A. (1994). Application of regularizing algorithms to solving practical problems. In: Ill-Posed Problems: Theory and Applications. Mathematics and Its Applications, vol 301. Springer, Dordrecht. https://doi.org/10.1007/978-94-011-1026-6_8
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DOI: https://doi.org/10.1007/978-94-011-1026-6_8
Publisher Name: Springer, Dordrecht
Print ISBN: 978-94-010-4447-9
Online ISBN: 978-94-011-1026-6
eBook Packages: Springer Book Archive