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Dynamical Systems Method for Solving Nonlinear Operator Equations
 
 

Dynamical Systems Method for Solving Nonlinear Operator Equations, 1st Edition

 
Dynamical Systems Method for Solving Nonlinear Operator Equations, 1st Edition,Alexander Ramm,ISBN9780444527950
 
 
 

  

Elsevier Science

9780444527950

9780080465562

304

229 X 152

The book is of interest to graduate students in functional analysis, numerical analysis, and ill-posed and inverse problems especially. While presenting a general method for solving operator equations, especially nonlinear and ill-posed, it requires a fairly modest background and is essentially self-contained.

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Key Features

- Contains a systematic development of a novel general method, the dynamical systems method, DSM for solving operator equations, especially nonlinear and ill-posed
- Self-contained, suitable for wide audience
- Can be used for various courses for graduate students and partly for undergraduates (especially for RUE classes)

Description

The book is of interest to graduate students in functional analysis, numerical analysis, and ill-posed and inverse problems especially. The book presents a general method for solving operator equations, especially nonlinear and ill-posed. It requires a fairly modest background and is essentially self-contained. All the results are proved
in the book, and some of the background material is also included. The results presented are mostly obtained by the author.

Readership

Mathematicians, numerical analysists, specialists in scientific computing, engineers and others interested in solving operator equations, ill-posed and inverse problems.

Alexander Ramm

Affiliations and Expertise

Kansas State University, Manhattan, KS, USA

Dynamical Systems Method for Solving Nonlinear Operator Equations, 1st Edition

Preface
Contents
1. Introduction
2. Ill-posed problems
3. DSM for well-posed problems
4. DSM and linear ill-posed problems
5. Some inequalities
6. DSM for monotone operators
7. DSM for general nonlinear operator equations
8 DSM for operators satisfying a spectral assumption
9. DSM in Banach spaces
10. DSM and Newton-type methods without inversion of the derivative
11. DSM and unbounded operators
12. DSM and nonsmooth operators
13. DSM as a theoretical tool
14. DSM and iterative methods
15. Numerical problems arising in applications
16. Auxiliary results from analysis
Bibliographical notes
Bibliography
Index
 
 
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