Numerical Analysis

by Richard L. Burden, J. Douglas Faires, Annette M. Burden

This well-respected book introduces readers to the theory and application of modern numerical approximation techniques. Providing an accessible treatment that only requires a calculus prerequisite, the authors explain how, why, and when approximation techniques can be expected to work-and why, in some situations, they fail. A wealth of examples and exercises develop readers' intuition, and demonstrate the subject's practical applications to important everyday problems in math, computing, engineering, and physical science disciplines. Three decades after it was first published, Burden, Faires, and Burden's NUMERICAL ANALYSIS remains the definitive introduction to a vital and practical subject.

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

912 pages, Hardcover

First published January 1, 1978

Reviews

[Dr M · Rating 3 out of 5]

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.

[Ira Burton · Rating 4 out of 5]

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

[Gary Bacchus · Rating 5 out of 5]

Good notes on implementation here.

[Iuri Baldaconi · Rating 4 out of 5]

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

[Nathan Herring · Rating 5 out of 5]

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.

[Jaci · Rating 5 out of 5]

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 · Rating 4 out of 5]

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

[Igor Fomenko · Rating 4 out of 5]

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

[Bruno Gallego · Rating 5 out of 5]

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

[juca · Rating 4 out of 5]

I read only the parts I needed and it was good enough.

[Saman Givian · Rating 5 out of 5]

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 · Rating 2 out of 5]

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...

[Akhtar Hussain]

i want to read books

[Nihad]

l;l#l#l

[Fehid]

i am want to read this book

[Jack Chen · Rating 4 out of 5]

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.