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

Ronald Mak

476 pages, parution le 25/11/2002

Ajouter à une liste

Indisponible

Résumé

In Java Number Cruncher: The Java Programmer's Guide to Numerical Computing author Ronald Mak explains now 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, 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. 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: The Java Programmer's Guide to Numerical Computing 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 more

This book is useful to all Java programmers, especially to those who want to learn about numerical computation, and to developers financial, and data analysis applications.

Contents

I- WHY GOOD COMPUTATIONS GO BAD.

Floating-Point Numbers Are Not Real!
How Wholesome Are the Integers?
The Floating-Point Standard.

II. ITERATIVE COMPUTATIONS.

Summing Lists of Numbers.
Finding Roots.
Interpolation and Approximation.
Numerical Integration.
Solving Differential Equations Numerically.

III. A MATRIX PACKAGE.

Basic Matrix Operations.
Solving Systems of Linear Equations.
Matrix Inversion, Determinants, and Condition Numbers.

IV. THE JOYS OF COMPUTATION.

Big Numbers.
Computing p.
Generating Random Numbers.
Prime Numbers.
Fractals.

Caractéristiques techniques

	PAPIER
Éditeur(s)	Prentice Hall
Auteur(s)	Ronald Mak
Parution	25/11/2002
Nb. de pages	476
Format	17,7 x 23,5
Couverture	Broché
Poids	909g
Intérieur	Noir et Blanc
EAN13	9780130460417