Math Toolkit for Real-Time Programming
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A01=Jack Crenshaw
advanced calculus applications
algorithm optimization
Author_Jack Crenshaw
C++ numerical methods
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Continued Fraction
Difference Table
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Error Curve
Floating Point Arithmetic
Floating Point Format
FORTRAN Compilers
Header File
Indefinite Integral
Input Argument
Integer Arithmetic
Library Function
Literal Constants
Lowest Maximum Error
Math Coprocessor
mathematical modeling
Modern Languages
Multistep Methods
Numerical Calculus
Power Series
Range Reduction
real-time embedded math programming
Runge Kutta Method
scientific computing
signal processing techniques
Single Step Method
Square Root Function
State Vector
Step Size
Vice Versa
Product details
- ISBN 9781138412477
- Weight: 453g
- Dimensions: 184 x 235mm
- Publication Date: 31 Jul 2018
- Publisher: Taylor & Francis Ltd
- Publication City/Country: GB
- Product Form: Hardback
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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
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.
