Dynamical Systems Method for Solving Nonlinear Operator Equations

Alexander G. Ramm

ISBN 10: 0444527958 / ISBN 13: 9780444527950

Published by Elsevier Science and Technology, GB, 2006

About this Item

Dynamical Systems Method for Solving Nonlinear Operator Equations 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.

Seller Inventory # LU-9780444527950

Bibliographic Details

• Title: Dynamical Systems Method for Solving Nonlinear Operator Equations
• Publisher: Elsevier Science and Technology, GB
• Publication Date: 2006
• Language: English
• ISBN 10: 0444527958
• ISBN 13: 9780444527950
• Binding: Hardback
• Condition: New
• Weight: 600 grams

About this title

Synopsis

Dynamical Systems Method for Solving Nonlinear Operator Equations 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.

• 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)

Book Description

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.