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Math toolkit for real-time programming Jack Crenshaw
Publisher: CMP

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.

About the Author

Jack Crenshaw holds a Ph.D. in physics from Auburn University (specialties in math, electronics, and advanced dynamics). He wrote his first computer program in 1956 and his first microcomputer software a real-time, floating-point, Kalman filter-driven controller in 1976. He has been working with real-time software for embedded systems ever since, and thinks he might be beginning to get the hang of it. He is currently a senior principal design engineer for Alliant TechSystems, Inc., a contributing editor for Embedded Systems Programming magazine, and author of the popular 'Programmer's Toolbox' column. In his spare time, he likes to dabble in compiler theory, guidance and control theory, and help rehabilitate orphaned and injured wildlife.


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