




Math Toolkit for RealTime Programming [Paperback]
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Item description for Math Toolkit for RealTime 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 ztransform 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 ztransform formulas. Features neverbeforepublished methods and a versatile set of algorithms to use in your own projects. Promise Angels is dedicated to bringing you great books at great prices. Whether you read for entertainment, to learn, or for literacy  you will find what you want at promiseangels.com!
Item Specifications...
Pages 466
Est. Packaging Dimensions: Length: 1.25" Width: 7.5" Height: 9.25" Weight: 1.95 lbs.
Binding Softcover
Publisher CMP Books
ISBN 1929629095 ISBN13 9781929629091

Availability 0 units.

More About Jack W. Crenshaw


Jack W. Crenshaw currently resides in Geneva, in the state of Florida. Jack W. Crenshaw was born in 1949.
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Reviews  What do customers think about Math Toolkit for RealTime Programming?
 Math Toolkit for Realtime Programming Mar 24, 2006 
Book is good and useful. Rational fraction, Numerical intergration, dynamic simulation and state vector cover in detail. Appreciate your selling.
Contacted customer service for missing CDROM attached with book on 2/17/2006, contact person, Durga.A. Yet to receive reply.    Falls short of expectations May 15, 2005 
I have yet to find a book that explains "complex" math algorithms well and give clear coding examples that follow. This book is no exception. I suppose after reading some of the other reviews, I had high expectations for this book, but it failed to deliver.
My number one complaint about the book is that there are very little or no comments in the code. There are pages of equations and derivations of the equations followed by code of a function. I didn't understand how the code related to the equations. It would have been a tremendous help to put a one line comment next to each section or line of the code referring to an equation number. Many equations deal with variables like x, y, or a. It doesn't help me much when a variable inside of code is called "x". I have no idea of its use or where it came from. It would have been even better if after each section of the math, the author put the line of code it referred to, and after the algortihm was complete, write the whole function down.
Another minor issue I had with the book was that it was written in the first person and the author tried to make humorous remarks throughout. I understand that he was trying to make it fun and while some people may appreciate it, I found it annoying.
The author does not seem to follow his own advice. The book is clearly not written for any one programming language. Most of the code is written in C, but he has references to pascal, c++, and says that fortran is basically a dead language but refers to fortran throughout the book. He makes it a point to state that he has good coding style and has a whole chapter on constants. He #defines One as 1.0 to avoid wasting run time cycles from converting an int to a double. The compiler may do this, but he adds "to take the chance is bad programming practice". I can see his point, but the problem is he never uses defines in his own coding samples when he writes code like double sum = 0;
The book is divided into 3 sections. The first section deals with constants and errors. There was no math and I am an experienced programmer and did not find much use for this.
The second section of the book is about square roots, sin, arctan, and logs. The algorithms seemed ok, and as expected, are probably faster and less precise than the standard library functions of a compiler. I've seen them before and they were not useful to me because many of them required an initial guess to be input. I work with graphics and such a broad range of numbers that I don't have an initial guess and therefore can't use the methods.
The third section deals with numerical calculus and was the major reason I bought the book. I thought the refresher and review of basic calculus was good. It was a bit stale in my mind, so it was nice to read about it again. However, I want to be able to apply the code in the book to real world programming. The key link and understanding of the code as it relates to the equations just wasn't there. Also, I was hoping there would be more code. There are whole chapters that don't have a single line of code written in it.    Embedded Programmers bible! Jan 10, 2005 
Math Toolkit for RealTime Programming is simply the best focused book on the subject of doing maths on microcontrollers, eg PIC 8051, AVR, PSOC etc with limited resources.
If you write software for an 8 bit micro's then this is the book for you. As it is writen if you want a canned answer then this has less value, but if you want to learn how then this is for you. It has also been helpful to demistify some math concepts that I never really "got" even after doing an electrical engineering degree!    Lack of example to fully demonstrate the knowledge. Jun 22, 2003 
The book review how an algorithm is implemented using C/C++. The book often override many of the default routine, with long boring text broken in pieces here and there. This is a good book if you are already very fluence in math, but could be very boring and useless if you are not. Note that the CD only contain less a 500KB of text file!!    A clearly written book by a competent, experienced author Aug 25, 2002 
This book describes and shows how to calculate mathematical functions to any desired number of bits of accuracy in the minimum possible machine time. It does this by not using the classical infinite series derived in calculus class. It uses approximations derived by the author or from the public domain. Even though I detest computer programming and rarely do it, I found the mathematical aspects of this book good entertainment and mind expanding. It was also refreshing to find a mathematical person who could explain things clearly. My past experience with mathematicians is that they would have trouble teaching a duck how to swim.   Write your own review about Math Toolkit for RealTime Programming
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