Dynamical Systems Method and Applications: Theoretical Developments and Numerical Examples
Copyright © 2012 John Wiley & Sons, Inc. All rights reserved.
Author(s): Alexander G. Ramm, Nguyen S. Hoang
Published Online: 10 JAN 2012 08:46AM EST
Print ISBN: 9781118024287
Online ISBN: 9781118199619
About this Book
Demonstrates the application of DSM to solve a broad range of operator equations
The dynamical systems method (DSM) is a powerful computational method for solving operator equations. With this book as their guide, readers will master the application of DSM to solve a variety of linear and nonlinear problems as well as ill-posed and well-posed problems. The authors offer a clear, step-by-step, systematic development of DSM that enables readers to grasp the method's underlying logic and its numerous applications.
Dynamical Systems Method and Applications begins with a general introduction and then sets forth the scope of DSM in Part One. Part Two introduces the discrepancy principle, and Part Three offers examples of numerical applications of DSM to solve a broad range of problems in science and engineering. Additional featured topics include:
General nonlinear operator equations
Operators satisfying a spectral assumption
Newton-type methods without inversion of the derivative
Numerical problems arising in applications
Stable numerical differentiation
Stable solution to ill-conditioned linear algebraic systems
Throughout the chapters, the authors employ the use of figures and tables to help readers grasp and apply new concepts. Numerical examples offer original theoretical results based on the solution of practical problems involving ill-conditioned linear algebraic systems, and stable differentiation of noisy data.
Written by internationally recognized authorities on the topic, Dynamical Systems Method and Applications is an excellent book for courses on numerical analysis, dynamical systems, operator theory, and applied mathematics at the graduate level. The book also serves as a valuable resource for professionals in the fields of mathematics, physics, and engineering.