Numerical Analysis

by Timothy Sauer

For courses in Numerical Analysis. Helps students construct and explore algorithms for solving science and engineering problems Numerical Analysis , 3rd Edition is for students of engineering, science, mathematics, and computer science who have completed elementary calculus and matrix algebra. It covers both standard topics and some of the more advanced numerical methods used by computational scientists and engineers, while remaining readable and relevant for undergraduates.
Sauer discusses the fundamental concepts of numerical convergence, complexity, conditioning, compression, and orthogonality. Throughout, Spotlight features comment on each of these concepts as they are addressed, and make connections to other expressions of the same principle elsewhere in the book. The popular Reality Check in each chapter gives concrete, relevant examples of the way numerical methods lead to solutions of important scientic and technological problems; they can be used to launch individual or team projects. MATLAB ® is used throughout to demonstrate and implement numerical methods. 013469645X / 9780134696454 Numerical Analysis, 3/e

Genres: Mathematics

688 pages, Hardcover

Published October 30, 2017

Reviews

[Stephanie · Rating 3 out of 5]

Overall, the book had a lot of straightforward concepts and for some of the topics, well detailed explanations. The problems were fair in the textbook and gave great practice. But overall, some topics were very confusing and explanations seemed to be very vague or over complicated at times.

[Jerry · Rating 3 out of 5]

Topics are well structured but lack of rigour is very annoying

[Lucm · Rating 3 out of 5]

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 · Rating 5 out of 5]

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.