Analysis for Computer Scientists: Foundations, Methods, and Algorithms

by Michael Oberguggenberger, Alexander Ostermann

This textbook presents an algorithmic approach to mathematical analysis, with a focus on modelling and on the applications of analysis. Fully integrating mathematical software into the text as an important component of analysis, the book makes thorough use of examples and explanations using MATLAB, Maple, and Java applets. Mathematical theory is described alongside the basic concepts and methods of numerical analysis, supported by computer experiments and programming exercises, and an extensive use of figure illustrations. thoroughly describes the essential concepts of analysis; provides summaries and exercises in each chapter, as well as computer experiments; discusses important applications and advanced topics; presents tools from vector and matrix algebra in the appendices, together with further information on continuity; includes definitions, propositions and examples throughout the text; supplementary software can be downloaded from the book’s webpage.

Genres: Nonfiction

342 pages, Paperback

First published March 19, 2011

Reviews

[Renee]

I can't even rate this book, it was too far over my head. But it seemed pretty serious.