Math Toolkit for Real-Time Programming

by Jack W. Crenshaw

Do big math on small machines Write fast and accurate library functions Master analytical and numerical calculus Perform numerical integration to any order Implement z-transform formulas Need to learn the ins and outs of the fundamental math functions in
Master analytical and numerical calculus with this solid course in applied math from the renowned columnist of Embedded Systems Programming magazine. You will learn how to do big math on small machines with fast and accurate library functions, numerical integration to any order and z-transform formulas. Features never-before-published methods and a versatile set of algorithms to use in your own projects.

Genres: Programming, Mathematics

492 pages, Paperback

First published January 9, 2000

Reviews

[Jose]

This book reminded me how much I suck at Math. Want to write your own integrator? Want to solve differential equations? Don't reinvent the wheel, read this book instead.