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Solving Nonlinear Equations with Newton's Method

✍ Scribed by C. T. Kelley


Publisher
Society for Industrial Mathematics
Year
1987
Tongue
English
Leaves
119
Series
Fundamentals of Algorithms
Category
Library

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✦ 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.


πŸ“œ SIMILAR VOLUMES


Solving Nonlinear Equations with Newton'
✍ C. T. Kelley πŸ“‚ Library πŸ“… 1987 πŸ› Society for Industrial Mathematics 🌐 English

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'
✍ C. T. Kelley πŸ“‚ Library πŸ“… 1987 πŸ› Society for Industrial Mathematics 🌐 English

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 a

Solving Nonlinear Equations with Newton'
✍ C. T. Kelley πŸ“‚ Library πŸ“… 1987 πŸ› Society for Industrial and Applied Mathematics 🌐 English

<span>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 w