Java Number Cruncher: The Java Programmer's Guide to Numerical Computing

This document was uploaded by one of our users. The uploader already confirmed that they had the permission to publish it. If you are author/publisher or own the copyright of this documents, please report to us by using this DMCA report form.

Simply click on the Download Book button.

Yes, Book downloads on Ebookily are 100% Free.

Sometimes the book is free on Amazon As well, so go ahead and hit "Search on Amazon"

* Non-theoretical explanations of practical numerical algorithms * Algorithms in action with animated, interactive graphical Java programs and applets * Computational errors and how to remove them from your codeUnderstand "computer math" and get the numbers you expect, reliably.In Java Number Cruncher, author Ronald Mak explains how to spot-and how to avoid-the subtle programming miscues that can cause vexing calculation errors in your applications. An authority on mapping pure math to computer math, he explains how to use the often-overlooked computational features of Java, and does so in a clear, non-theoretical style.Without getting lost in mathematical detail, you'll learn practical numerical algorithms for safely summing numbers, finding roots of equations, interpolation and approximation, numerical integration, solving differential equations, matrix operations, and solving sets of simultaneous equations. You'll also enjoy intriguing topics such as searching for patterns in prime numbers, generating random numbers, computing thousands of digits of pi, and creating intricately beautiful fractal images.Java Number Cruncher includes: * Practical information all Java programmers should know * Popular computational algorithms in Java-without excessive mathematical theory * Interactive graphical programs that bring the algorithms to life on the computer screen * Rounding errors, the pitfalls of integer arithmetic, Java's implementation of the IEEE 754 floating-point standard, and moreThis book is useful to all Java programmers, especially for those who want to learn about numerical computation, and for developers of scientific, financial, and data analysis applications.

Author(s): Ronald Mak
Publisher: Prentice Hall
Year: 2002

Language: English
Pages: 480