The java programmers guide to numerical computing
Ronald MakIn Java Number Cruncher: The Java Programmers Guide to Numerical Computing 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, youll learn: practical numerical algorithms for safely summing numbers, how to find roots of equations, interpolation and approximation, numerical integration, how to solve differential equations, matrix operations, and how to solve sets of simultaneous equations. Youll 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: The Java Programmers Guide to Numerical Computing includes: Practical information all Java programmers should knowPopular computational algorithms in Java-without excessive mathematical theory
12/11/2002 · Java Number Cruncher: The Java Programmer's Guide to Numerical Computing, by topic expert Ronald Mak, provides practical information for Java programmers who write mathematical programs. Without excessive mathematical theory, he animates the algorithms on the computer screen with interactive graphical programs and applets. Preface | Java Number Cruncher: The Java …
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This book introduces Java programmers to numerical computing. It contains clear, non-theoretical explanations of practical numerical algorithms, including safely summing numbers, finding roots of equations, interpolation and approximation, numerical integration and differentiation, and matrix operations, including solving sets of simultaneous equations. Java Number Cruncher: The Java Programmer's …
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Java Number Cruncher | Guide books Java Number Cruncher: The Java Programmer's Guide to Numerical Computing September 2002. September 2002. Read More. Author: Ron Mak; Publisher: Prentice Hall Professional Technical Reference; ISBN: 978-0-13-046041-7. Pages: 500. Available at Amazon. Save to Binder Binder Export Citation Citation. Share on. Bibliometrics. Citation count. 0. Downloads (6 weeks) 0. Downloads (12 months) 0