Numerical Analysis

by Richard L. Burden, J. Douglas Faires

The new Seventh Edition of Burden and Faires' well-respected Numerical Analysis provides a foundation in modern numerical-approximation techniques. Explaining how, why, and when the techniques can be expected to work, the Seventh Edition places an even greater emphasis on building readers' intuition to help them understand why the techniques presented work in general, and why, in some situations, they fail. Applied problems from diverse areas, such as engineering and physical, computer, and biological sciences, are provided so readers can understand how numerical methods are used in real-life situations. The Seventh Edition has been updated and now addresses the evolving use of technology, incorporating it whenever appropriate.

Genres: Mathematics, Textbooks, Science, Reference, Nonfiction, Computer Science, Engineering

864 pages, Hardcover

First published January 1, 1978

Reviews

[Dr M]

As with many textbooks on science, I use this book as a tool (in this case a borrowed tool), not reading the book from cover to cover, but rather using it to read up on whatever part of it I happen to need at the moment. I have certainly not read all parts of the book, but find those parts I have read a nice mathematically inclined description of the central conepts and methods of numerical analysis. The text's focus is very much on the what and why theoretical aspects of numerical analysis, rather than on the how-to aspects of numerical methods in practice.

The book does unfortunately suffer from a lay-out style that seems to have become popular with text books in the mathematical sciences the last fifteen or so years. While the pages certainly look, stylish, clean and modern, I find myself having difficulties trying to get an immediate overview of what is main text, suplementary text, definitions, theorems, examples etcetera.

Once we are past the lay-out issues, the text gives a thorough introduction to the mathematical aspects of numerical problem solving. Despite its thickness, the book does not waste space by endless babbling the way many American textbooks tend to do, but gives a fairly succinct account for its material, while giving ample space to pseudo-code descriptions of the numerical algorithms.

For practical use when working with numerical scienctific computing, this book does need to be complemented with a more hands-on, how-to-do-it book of numerical methods, but my impression currently is that it serves its purpose as a readable text on the underlying theoretical aspects.

[Jul]

I never wish to be put through such torture again. Some chapters were entertaining tho

[Ira Burton]

A great text on numerical analysis for engineers. A bit light on the mathematics, but great information on implementation.

[Gary Bacchus]

Good notes on implementation here.

[Iuri Baldaconi]

Very good book. The Portuguese translation is not so careful, though. And there's a certain lack of mathematical rigor in it...

[Nathan Herring]

This standard CS text stands the test of time. I don't have need to apply it terribly often in my line of work, but when I do, it's irreplaceable.

[Jc]

This is the best book if you want to learn numerical analysis. It has a lot of examples, so it’s easy to understand the topics.

[Behnoud]

This book is excellent in numerical analysis for engineers, with complete description in whole subjects.

[Igor Fomenko]

It was my second book about numerical calculus. It's very good book, much better than Atkinson.

[Bruno Gallego]

Muito bem detalhado com os principais métodos numéricos de cada tópico. Contém exemplos e passo a passo dos algoritmos. Recomendo!

[Saman Givian]

Honestly, it is one of the better math textbooks that I have read. Unlike many others, it does try to simplify complicated concepts for the audience, which I definitely appreciate.

[Sumaiya Batool]

Am I insane or are some of the answers at the back of the textbook wrong. i checked quizlet and the answers there match mine but the textbook says otherwise...

[Samuel Andersen]

Would be 5 stars if it were written with something other the Maple in mind

[Akhtar Hussain]

i want to read books

[Nihad]

l;l#l#l

[Fehid]

i am want to read this book

[Jack Chen]

Clear explanation with code for every single interpolation and quadrature! Super useful. My college class does not assign a textbook but I use this one to cover my blind spots.