This is a concise and practical introduction to some Newton method scheme, which can be read in a day or two if the reader has some background in numerical methods. The book sketches the main idea behind the methods and clearly explains the pros and cons of each method.<p>I did not give 5 stars beca
Solving Nonlinear Equations with Newton's Method (Fundamentals of Algorithms, Series Number 1)
β Scribed by C. T. Kelley
- Publisher
- Society for Industrial and Applied Mathematics
- Year
- 1987
- Tongue
- English
- Leaves
- 119
- Category
- Library
No coin nor oath required. For personal study only.
β¦ Synopsis
This brief book on Newton's method is a user-oriented guide to algorithms and implementation. In just over 100 pages, it shows, via algorithms in pseudocode, in MATLAB, and with several examples, how one can choose an appropriate Newton-type method for a given problem, diagnose problems, and write an efficient solver or apply one written by others. Solving Nonlinear Equations with Newton's Method contains trouble-shooting guides to the major algorithms, their most common failure modes, and the likely causes of failure. It also includes many worked-out examples (available on the SIAM website) in pseudocode and a collection of MATLAB codes, allowing readers to experiment with the algorithms easily and implement them in other languages.
β¦ Table of Contents
ISBN 0898715466
Funcdamentals of Algorithms Solving Nonlinear Equations with Newton's Method
Contents
Preface
How to Get the Software
Chapter 1 Introduction
Chapter 2 Finding the Newton Step with Gaussian Elimination
Chapter 3 NewtonβKrylov Methods
Chapter 4 Broyden's Method
Bibliography
Index
π SIMILAR VOLUMES
This brief book on Newtonβs method is a user-oriented guide to algorithms and implementation. In just over 100 pages, it shows, via algorithms in pseudocode, in MATLAB, and with several examples, how one can choose an appropriate Newton-type method for a given problem, diagnose problems, and write a
This brief book on Newtonβs method is a user-oriented guide to algorithms and implementation. In just over 100 pages, it shows, via algorithms in pseudocode, in MATLAB, and with several examples, how one can choose an appropriate Newton-type method for a given problem, diagnose problems, and write a