Numerical Analysis, Books a la Carte Edition

by Timothy Sauer

This edition features the exact same content as the traditional text in a convenient, three-hole- punched, loose-leaf version. Books a la Carte also offer a great value–this format costs significantly less than a new textbook. Numerical Analysis, Second Edition , is a modern and readable text. This book covers not only the standard topics but also some more advanced numerical methods being used by computational scientists and engineers–topics such as compression, forward and backward error analysis, and iterative methods of solving equations–all while maintaining a level of discussion appropriate for undergraduates. Each chapter contains a Reality Check, which is an extended exploration of relevant application areas that can launch individual or team projects. MATLAB is used throughout to demonstrate and implement numerical methods. The Second Edition features many noteworthy improvements based on feedback from users, such as new coverage of Cholesky factorization, GMRES methods, and nonlinear PDEs.

Genres: Mathematics, Textbooks

696 pages, Unbound

Published January 1, 2012

Reviews

[Jerry]

Topics are well structured but lack of rigour is very annoying

[Calvin]

Read this for my numerical analysis course, overall good with lots of examples and exercises.

[Lucm]

The book is well written. There are plenty of worked examples to illustrate the theory. However, the editing is very bad (2nd edition). The index is so poor it is useless and makes the book a poor reference. It should not be called "index" actually as it is just a reference of words in the text, without any real interest. The index lists all appearances of a set of non-specific math terms, without necessarily any relation to the book topic. On the other hand, the index lacks indexing of important words or abbreviations specific to the topic (like QR factorisation, note that "factorisation" alone is not in the index either, only "factoring", "factoring out" and "factors" are, but they point to the exercises pages or examples, not to the definition or procedure of QR factorisation (which would be the useful references). Besides, the table of content is poor and mentions only the chapters, not the sections (the author is mentioned below each chapter header, as if the book used the wrong book template).

[Josh Ferge]

This was probably my favorite textbook while in college. It is straight to the point, explains the concepts very well, and gives examples for every type of problem mentioned.