Introduction to Programming in Java: An Interdisciplinary Approach / Edition 1

Introduction to Programming in Java: An Interdisciplinary Approach / Edition 1

by Robert Sedgewick, Kevin Wayne
     
 

By emphasizing the application of computer programming not only in success stories in the software industry but also in familiar scenarios in physical and biological science, engineering, and applied mathematics, Introduction to Programming in Java takes an interdisciplinary approach to teaching programming with the Java programmingSee more details below

Overview

By emphasizing the application of computer programming not only in success stories in the software industry but also in familiar scenarios in physical and biological science, engineering, and applied mathematics, Introduction to Programming in Java takes an interdisciplinary approach to teaching programming with the Java programming language.

Elements of Programming: Your First Program; Built-in Types of Data; Conditionals and Loops; Arrays; Input and Output. Functions and Modules: Static Methods; Libraries and Clients; Recursion. Object-Oriented Programming: Data Types; Creating Data Types; Designing Data Types. Algorithms and Data Structures: Performance; Sorting and Searching; Stacks and Queues; Symbol Tables.

For all readers interested in introductory programming courses using the Java programming language.

Product Details

ISBN-13:
9780321498052
Publisher:
Pearson
Publication date:
07/31/2007
Edition description:
New Edition
Pages:
736
Sales rank:
166,607
Product dimensions:
7.40(w) x 9.00(h) x 1.20(d)

Related Subjects

Meet the Author

Robert Sedgewick teaches in the Department of Computer Science at Princeton University. His primary areas of research are analytic combinatorics and the design, analysis, and implementation of algorithms. He is the author of a widely-used series on algorithms published by Addison-Wesley Professional. Sedgewick is on the Board of Directors for Adobe Systems Incorporated.

Kevin Wayne also teaches in the Department of Computer Science at Princeton University. His research focuses on theoretical computer science, especially optimization and the design, analysis, and implementation of computer algorithms. Wayne received his PhD from Cornell University.

Table of Contents

Chapter 1 Elements of Programming
1.1 Your First Program
1.2 Built-in Types of Data
1.3 Conditionals and Loops
1.4 Arrays
1.5 Input and Output
1.6 Case Study: Random Web Surfer

Chapter 2 Functions and Modules
2.1 Static Methods
2.2 Libraries and Clients
2.3 Recursion
2.4 Case Study: Percolation

Chapter 3 Object-Oriented Programming
3.1 Data Types
3.2 Creating Data Types
3.3 Designing Data Types
3.4 Case Study: N-body Simulation

Chapter 4 Algorithms and Data Structures
4.1 Performance
4.2 Sorting and Searching
4.3 Stacks and Queues
4.4 Symbol Tables
4.5 Case Study: Small World

Context
Index

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