Variational Regularization for Systems of Inverse Problems, Richard Huber

Автор: Flemming
Название: Variational Source Conditions, Quadratic Inverse Problems, Sparsity Promoting Regularization
ISBN: 3319952633 ISBN-13(EAN): 9783319952635
Издательство: Springer
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Цена: 51230.00 T
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Описание: The book collects and contributes new results on the theory and practice of ill-posed inverse problems. The new methods are applied to a difficult inverse problem from laser optics.Sparsity promoting regularization is examined in detail from a Banach space point of view.

Автор: Michel Thera; Rainer Tichatschke
Название: Ill-posed Variational Problems and Regularization Techniques
ISBN: 3540663231 ISBN-13(EAN): 9783540663232
Издательство: Springer
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Цена: 102480.00 T
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Описание: Developments in the field of ill-posed variational problems and variational inequalities are presented here. The work covers a large range of theoretical, numerical and practical aspects.

Автор: Adrian Doicu; Thomas Trautmann; Franz Schreier
Название: Numerical Regularization for Atmospheric Inverse Problems
ISBN: 3642424015 ISBN-13(EAN): 9783642424014
Издательство: Springer
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Цена: 174130.00 T
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Описание: Written by brilliant mathematicians, this research monograph presents and analyzes numerical algorithms for atmospheric retrieval, pulling together all the relevant material in a consistent, very powerful manner.

Автор: Heinz Werner Engl; Martin Hanke; A. Neubauer
Название: Regularization of Inverse Problems
ISBN: 0792341570 ISBN-13(EAN): 9780792341574
Издательство: Springer
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Цена: 102480.00 T
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Описание: Offers an overview over some classes of inverse problems. This book deals with the mathematical theory of regularization methods and gives an account of the results about regularization methods both for linear and for nonlinear ill-posed problems. It considers both continuous and iterative regularization methods.

Автор: Wang Yanfei, Yagola Anatoly G., Yang Changchun
Название: Optimization and Regularization for Computational Inverse Problems and Applications
ISBN: 3642137415 ISBN-13(EAN): 9783642137419
Издательство: Springer
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Цена: 93160.00 T
Наличие на складе: Нет в наличии.
Описание: This book covers both the methods, including standard regularization theory, Fejer processes for linear and nonlinear problems, the balancing principle, extrapolated regularization, nonstandard regularization, nonlinear gradient method, the nonmonotone gradient method, subspace method and Lie group method;

Автор: S.F. Gilyazov; N.L. Gol`dman
Название: Regularization of Ill-Posed Problems by Iteration Methods
ISBN: 0792361318 ISBN-13(EAN): 9780792361312
Издательство: Springer
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Цена: 102480.00 T
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Описание: Iteration regularization, i.e., utilization of iteration methods of any form for the stable approximate solution of ill-posed problems, is one of the most important but still insufficiently developed topics of the new theory of ill-posed problems.

Автор: S.F. Gilyazov; N.L. Gol`dman
Название: Regularization of Ill-Posed Problems by Iteration Methods
ISBN: 9048153824 ISBN-13(EAN): 9789048153824
Издательство: Springer
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Цена: 93160.00 T
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Описание: Iteration regularization, i.e., utilization of iteration methods of any form for the stable approximate solution of ill-posed problems, is one of the most important but still insufficiently developed topics of the new theory of ill-posed problems.

Автор: Javier Roa
Название: Regularization in Orbital Mechanics: Theory and Practice
ISBN: 3110558556 ISBN-13(EAN): 9783110558555
Издательство: Walter de Gruyter
Цена: 140090.00 T
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Описание:

Regularized equations of motion can improve numerical integration for the propagation of orbits, and simplify the treatment of mission design problems. This monograph discusses standard techniques and recent research in the area. While each scheme is derived analytically, its accuracy is investigated numerically. Algebraic and topological aspects of the formulations are studied, as well as their application to practical scenarios such as spacecraft relative motion and new low-thrust trajectories.

Автор: Thomas Schuster, Barbara Kaltenbacher, Bernd Hofmann, Kamil S. Kazimierski
Название: Regularization Methods in Banach Spaces
ISBN: 3110255243 ISBN-13(EAN): 9783110255249
Издательство: Walter de Gruyter
Цена: 161100.00 T
Наличие на складе: Невозможна поставка.
Описание: Regularization methods aimed at finding stable approximate solutions are a necessary tool to tackle inverse and ill-posed problems. Inverse problems arise in a large variety of applications ranging from medical imaging and non-destructive testing via finance to systems biology. Many of these problems belong to the class of parameter identification problems in partial differential equations (PDEs) and thus are computationally demanding and mathematically challenging. Hence there is a substantial need for stable and efficient solvers for this kind of problems as well as for a rigorous convergence analysis of these methods. This monograph consists of five parts. Part I motivates the importance of developing and analyzing regularization methods in Banach spaces by presenting four applications which intrinsically demand for a Banach space setting and giving a brief glimpse of sparsity constraints. Part II summarizes all mathematical tools that are necessary to carry out an analysis in Banach spaces. Part III represents the current state-of-the-art concerning Tikhonov regularization in Banach spaces. Part IV about iterative regularization methods is concerned with linear operator equations and the iterative solution of nonlinear operator equations by gradient type methods and the iteratively regularized Gau?-Newton method. Part V finally outlines the method of approximate inverse which is based on the efficient evaluation of the measured data with reconstruction kernels.

Автор: Mourad Bellassoued; Masahiro Yamamoto
Название: Carleman Estimates and Applications to Inverse Problems for Hyperbolic Systems
ISBN: 4431565981 ISBN-13(EAN): 9784431565987
Издательство: Springer
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Цена: 88500.00 T
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Описание: This book is a self-contained account of the method based on Carleman estimates for inverse problems of determining spatially varying functions of differential equations of the hyperbolic type by non-overdetermining data of solutions.