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Java Number Cruncher : The Java Programmer's Guide to Numerical Computing by Ronald Mak (2002, Trade Paperback)

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Condition Notes: Supports Goodwill of Silicon Valley job training programs. The cover and pages are in Good condition! Any other included accessories are also in Good condition showing use.

About this product

Product Identifiers

Publisher
Prentice Hall PTR
ISBN-10
0130460419
ISBN-13
9780130460417
eBay Product ID (ePID)
2305209

Product Key Features

Number of Pages
480 Pages
Publication Name
Java Number Cruncher : the Java Programmer's Guide to Numerical Computing
Language
English
Subject
Programming Languages / Java, Numerical Analysis, Computer Science
Publication Year
2002
Type
Textbook
Subject Area
Mathematics, Computers
Author
Ronald Mak
Format
Trade Paperback

Dimensions

Item Height
1.3 in
Item Weight
27.2 Oz
Item Length
7 in
Item Width
9.2 in

Additional Product Features

Intended Audience
Scholarly & Professional
LCCN
2002-032956
Dewey Edition
21
Illustrated
Yes
Dewey Decimal
005.13/3
Table Of Content
Preface. How to Download the Source Code. I. WHY GOOD COMPUTATIONS GO BAD. 1. Floating-Point Numbers Are Not Real! Roundoff Errors. Error Explosion. Real Numbers versus Floating-Point Numbers. Precision and Accuracy. Disobeying the Laws of Algebra. And What about Those Integers? 2. How Wholesome Are the Integers? The Integer Types and Operations. Signed Magnitude versus Two's-Complement. Whole Numbers versus Integer Numbers. Wrapper Classes. Integer Division and Remainder. Integer Exponentiation. 3. The Floating-Point Standard. The Floating-Point Formats. Denormalized Numbers. Decomposing Floating-Point Numbers. The Floating-Point Operations. 60, 6', and NaN. No Exceptions! Another Look at Roundoff Errors. Strict or Nonstrict Floating-Point Arithmetic. The Machine Epsilon e. Error Analysis. II. ITERATIVE COMPUTATIONS. 4. Summing Lists of Numbers. A Summing Mystery-the Magnitude Problem. The Kahan Summation Algorithm. Summing Numbers in a Random Order. Summing Addends with Different Signs. Insightful Computing. Summation Summary. 5. Finding Roots. Analytical versus Computer Solutions. The Functions. The Bisection Algorithm. The Regula Falsi Algorithm. The Improved Regula Falsi Algorithm. The Secant Algorithm. Newton's Algorithm. Fixed-Point Iteration. Double Trouble with Multiple Roots. Comparing the Root-Finder Algorithms. 6. Interpolation and Approximation. The Power Form versus the Newton Form. Polynomial Interpolation Functions. Divided Differences. Constructing the Interpolation Function. Least-Squares Linear Regression. Constructing the Regression Line. 7. Numerical Integration. Back to Basics. The Trapezoidal Algorithm. Simpson's Algorithm. 8. Solving Differential Equations Numerically. Back to Basics. A Differential Equation Class. Euler's Algorithm. A Predictor-Corrector Algorithm. The Fourth-Order Runge-Kutta Algorithm. III. A MATRIX PACKAGE. 9. Basic Matrix Operations. Matrix. Square Matrix. Identity Matrix. Row Vector. Column Vector. Graphic Transformation Matrices. A Tumbling Cube in 3-D Space. 10. Solving Systems of Linear Equations. The Gaussian Elimination Algorithm. Problems with Gaussian Elimination. Partial Pivoting. Scaling. LU Decomposition. Iterative Improvement. A Class for Solving Systems of Linear Equations. A Program to Test LU Decomposition. Polynomial Regression. 11. Matrix Inversion, Determinants, and Condition Numbers. The Determinant. The Inverse. The Norm and the Condition Number. The Invertible Matrix Class. Hilbert Matrices. Comparing Solution Algorithms. IV. THE JOYS OF COMPUTATION. 12. Big Numbers. Big Integers. A Very Large Prime Number. Big Integers and Cryptography. Big Decimal Numbers. Big Decimal Functions. 13. Computing p. Estimates of p and Ramanujan's Formulas. Arctangent Formulas That Generate p. Generating Billions of Digits. 14. Generating Random Numbers. Pseudorandom Numbers. Uniformly Distributed Random Numbers. Normally Distributed Random Numbers. Exponentially Distributed Random Numbers. Monte Carlo, Buffon's Needle, and p. 15. Prime Numbers. The Sieve of Eratosthenes and Factoring. Congruences and Modulo Arithmetic. The Lucas Test. The Miller-Rabin Test. A Combined Primality Tester. Generating Prime Numbers. Prime Number Patterns. 16. Fractals. Fixed-Point Iteration and Orbits. Bifurcation and the Real Function f(x) 5 x2 1 c. Julia Sets and the Complex Function f(z) 5 z2 1 c. Newton's Algorithm in the Complex Plane. The Mandelbrot Set. Index.
Synopsis
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., 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. Many of the programs are applets that take advantage of Java's interactive graphics capabilities. These programs allow the user to interact with them as they dynamically demonstrate the computational algorithms in action. Java Number Cruncher devotes several chapters to searching for patterns in the prime numbers, generating random numbers, intriguing formulas for pi and e, arbitrarily long numbers and their relationship to data encryption, and algorithms for creating fractal images. Working Java programs demonstrate all the concepts from this book.
LC Classification Number
QA76.73.J38M335 2003

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Java Number Cruncher : The Java Programmer's Guide to Numerical Computing by Ronald Mak (2002, Trade Paperback)

About this product

Product Identifiers

Product Key Features

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Additional Product Features

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item 1 Java Number Cruncher: The Java Programmer's Guide to Numerical Computing

item 2 Java Number Cruncher: The Java Programmer's Guide to Numerical Computing

item 3 Java Number Cruncher: The Java Programmers Guide to Numerical Computing - GOOD

item 4 Java Number Cruncher: The Java Programmer's Guide to Numerical Computing by Mak

item 5 Java Number Cruncher: The Java Programmer... by Mak, Ronald Paperback / softback

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