Analysis for Computer Scientists: Foundations, Methods, and Algorithms

by Michael Oberguggenberger

Numbers Real-Valued Functions Trigonometry Complex Numbers Sequences and Series Limits and Continuity of Functions The Derivative of a Function Applications of the Derivative Fractals and L-Systems Antiderivatives Definite Integrals Taylor Series Numerical Integration Curves Scalar-Valued Functions of Two Variables Vector-Valued Functions of Two Variables Integration of Functions of Two Variables Linear Regression Differential Equations Systems of Differential Equations Numerical Solution of Differential Equations Appendix Vector Algebra Appendix Matrices Appendix Further Results on Continuity Appendix Description of the Supplementary Software

Genres: Nonfiction

392 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.