Author | Bakushinsky, A. B. author |
---|---|

Title | Iterative Methods for Approximate Solution of Inverse Problems [electronic resource] / by A. B. Bakushinsky, M. Yu. Kokurin |

Imprint | Dordrecht : Springer Netherlands, 2004 |

Connect to | http://dx.doi.org/10.1007/978-1-4020-3122-9 |

Descript | XV, 291 p. online resource |

SUMMARY

This volume presents a unified approach to constructing iterative methods for solving irregular operator equations and provides rigorous theoretical analysis for several classes of these methods. The analysis of methods includes convergence theorems as well as necessary and sufficient conditions for their convergence at a given rate. The principal groups of methods studied in the book are iterative processes based on the technique of universal linear approximations, stable gradient-type processes, and methods of stable continuous approximations. Compared to existing monographs and textbooks on ill-posed problems, the main distinguishing feature of the presented approach is that it doesn't require any structural conditions on equations under consideration, except for standard smoothness conditions. This allows to obtain in a uniform style stable iterative methods applicable to wide classes of nonlinear inverse problems. Practical efficiency of suggested algorithms is illustrated in application to inverse problems of potential theory and acoustic scattering. The volume can be read by anyone with a basic knowledge of functional analysis. The book will be of interest to applied mathematicians and specialists in mathematical modeling and inverse problems

CONTENT

Irregular Equations As Illโ{128}{147}Posed Problems -- Regularization Methods For Linear Equations -- Parametric Approximations Of Solutions To Nonlinear Operator Equations -- Iterative Processes On The Basis Of Parametric Approximations -- Stable Iterative Processes -- Applications Of Iterative Methods

Mathematics
Integral equations
Partial differential equations
Algorithms
Numerical analysis
Mathematical models
Mathematics
Numerical Analysis
Algorithms
Integral Equations
Partial Differential Equations
Mathematical Modeling and Industrial Mathematics