Introduction to Numerical Analysis

By Kendall E. Atkinson

Book Overview

This Second Edition of a standard numerical analysis text retains organization of the original edition, but all sections have been revised, some extensively, and bibliographies have been updated. New topics covered include optimization, trigonometric interpolation and the fast Fourier transform, numerical differentiation, the method of lines, boundary value problems, the conjugate gradient method, and the least squares solutions of systems of linear equations. Contains many problems, some with solutions.

• Format: Hardcover
• Language: English
• ISBN: 0471029858
• ISBN13: 9780471029854
• Release Date: January 1978
• Publisher: John Wiley & Sons
• Length: 587 Pages
• Weight: 0.51 lbs.

Customer Reviews

poor choice of font; obsolete software references

The material is all mostly valid, and the topics presented are treated in a sophisticated manner. This is not meant as an elementary text in numerical analysis. One unfortunate distraction, that appears on every page, is the obsolete font. By comparison with fonts in more recently written texts, including those books by the same publisher, the printed text of this book appears smudged. Despite the author's claim in the preface...

Atkinson writes the best numerical analysis textbooks

In my opinion, Atkinson is the best writer of numerical analysis textbooks. I learned numerical analysis from him and have used his books every time I have taught the course. The algorithms are written in a combination of pseudocode and Pascal-like language, as in the := being used for assignment. I disagree with the other reviewers who criticize the text for being unreadable. It is completely understandable, provided you...

Knowledge that more people need

Numerical analysis is the study and art of determining how to get high quality answers out of computers with finite precision: in other words, all of them. This may not sound like a big issue - you can always use double precision, right? Well, no. Binary computers can't even represent 0.1 exactly. The numbers are wrong from the start, and go downhill fast. This book addresses the twin questions: how fast, and how to preserve...

Excellent Book - not for everyone.

One of the best numerical analysis books I ever came across. This describes the theory behind numerical analysis, so if you expect to find a lot of numerical examples and written algorithms, this is NOT the book you're looking for. Though there are some examples and algorithm, this is a math book, not a computer science oriented book. So buy this book if you are interested in the mathematical theory and ideas behind numerical...

Excellent introduction to numerical analysis

Out of some 7 or 8 numerical analysis texts from which I have learned or taught, this is easily the best. Its organization is standard, its exposition is excellent, it is comprehensive in its coverage of introductory topics, it has a very good bibliography, and its problems are very good. It is a good introduction for graduate students; it is a little advanced for most undergraduates, though strong undergraduates would...