ISBN-10:
0321392795
ISBN-13:
9780321392794
Pub. Date:
11/02/2006
Publisher:
Pearson
Data Structures in Java: From Abstract Data Types to the Java Collections Framework / Edition 1

Data Structures in Java: From Abstract Data Types to the Java Collections Framework / Edition 1

by Simon Gray
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Overview

This book focus is on the design of data structures and takes the reader through the design phase of developing the ADTs in abstract terms, then developing the methods, discussing the alternatives and potential pitfalls. Each collection type is presented as an Abstract Data Type(ADT) and then tested before implementation. There is extensive use of UML and all collections developed are designed to work within the Java Collections Framework(JCF). Readers who want to become independent problem-solvers and master abstraction, software testing and object-oriented concepts.

Product Details

ISBN-13: 9780321392794
Publisher: Pearson
Publication date: 11/02/2006
Edition description: New Edition
Pages: 688
Product dimensions: 7.50(w) x 9.10(h) x 1.50(d)

Table of Contents

Chapter 0 Introduction to What We Will be Studying

0.1 Abstraction

0.2 Algorithms

0.3 Object-Oriented Programming

0.4 The Software Life Cycle

0.5 Software Testing

0.6 The Unified Modeling Language: Using Pictures to Express Design

0.7 Software Design Patterns: Applying Proven Solutions to New Problems

0.8 Collections and the Java Collections Framework

Exercises

Chapter 1 Object-Oriented Programming and Java

1.1 Abstraction and Abstract Data Types

1.2 The Object-Oriented Approach

1.3 Code Reuse Through Composition and Inheritance

Investigate: Inheritance, Packages, and Access Modifiers

1.4 Polymorphism and Generic Programming

1.5 Case Study: a Shapes Hierarchy

1.6 Java Generic Types

Exercises

Chapter 2 Error Handling, Software Testing, and Program Efficiency

2.1 Error Handling with Exceptions

2.2 Software Testing

2.3 Analysis and Measurement of Algorithms

Exercises

Chapter 3 Fundamental Data Structures: The Array and Linked Data Structures

3.1 The Array Data Structure

3.2 Array Operations

3.3 The Linked Data Structure

3.4 A Generic Singly Linked Data Structure

3.5 The Doubly Linked Data Structure

3.6 The Circular Linked List

3.7 Selecting a Data Structure

3.8 Focus on Problem Solving: The ACME Courier Company

Exercises

Chapter 4 A Basic Collection Class

4.1 The Collection Interface in the Java Collections Framework

4.2 Iterators and the Iterator Design Pattern

4.3 Collection Basics: Objects, Casting, Operations, and Iterators

4.4 Developing a Test Plan for BasicCollection

4.5 Testing with JUnit

4.6 The java.util.AbstractCollection Abstract Class

4.7 More Java Generics: Inheritance, Wildcards, and Generic Methods

4.8 Implementation of the BasicCollection Class

4.9 Analysis of the Implementation

Investigate: equals(), hashcode(), and toArray()

4.10 Cloning

Exercises

Chapter 5 The List Abstract Data Type

5.1 List Description

5.2 The List ADT

5.3 The List Interface in the Java Collections Framework

5.4 Designing a Test Plan

5.5 Focus on Problem Solving: CourierModel Revisited

Investigate: The Serializable Interface — Adding Persistence to the Courier Application

5.6 A Linked List Implementation of the List ADT

5.7 Implementing the Test Plan

5.8 Analysis and Measurement

Exercises

Chapter 6 The Stack Abstract Data Type

6.1 Stack Description

6.2 Stack Specification

6.3 The Stack Interface

6.4 Designing a Test Plan

6.5 Focus on Problem Solving: Evaluation of Postfix Expressions

6.6 Stack Implementation: ListStack–Using the Adapter Design Pattern

6.7 Stack Implementation: ListStack–Using a Linked Data Structure

6.8 Implementing the Test Plan

6.9 Evaluation of the Implementations

Investigate: Measuring the Cost of Using and Adapter

Exercises

Chapter 7 The Queue Abstract Data Type

7.1 Queue Description

7.2 Queue Specification

7.3 The Queue Interface

7.4 Designing a Test Plan

7.5 Focus on Problem Solving: The Leaky Bucket Algorithm

7.6 List Implementation Using the Adapter Design Pattern

7.7 ArrayQueue: Implementing Queue Using an Array

7.8 Testing the Implementation

7.9 Evaluation of the Implementations

Investigate: A First Look at Priority Queues

Exercises

Chapter 8 Recursion

8.1 What Is Recursion?

8.2 Recursive Definitions

8.3 Problem Definitions and Recursive Programming

8.4 Recursion as Iteration

8.5 Evaluating Recursion

8.6 Focus on Problem Solving: Cell Identification in MineSweeper

Investigate: Simulating Recursion Using Loops and a Stack

Exercises

Chapter 9 Sorting and Searching

9.1 Sorting Terminology

9.2 Sorting Primitive Types in an Array

9.3 Comparing Objects

9.4 Sorting Lists and Linked Lists

Investigate: Using Comparators to Sort WorkOrders

9.5 Searching for Objects

9.6 Focus on Problem Solving: External Sorting

Exercises

Chapter 10 Trees

10.1 Tree Terminology

10.2 Binary Tree Description

10.3 Binary Tree Specification

10.4 Implementations of the Binary Tree ADT

10.5 Heaps and Binary Trees

10.6 Focus on Problem Solving: Data Compression Using Huffman Trees

Investigate: A Second Look at Priority Queues

Exercises

Chapter 11 Binary Search Trees

11.1 The Binary Search Tree ADT

11.2 Linked Implementation of BinarySearchTree

11.3 Focus on Problem Solving: A Modifiable Spell Checker

11.4 The Need for a Balanced Search Tree

11.5 AVL Tree: A Balanced Binary Search Treee

Investigate: Finding the kth Smallest Element in a Binary Search Tree

11.6 Splay Tree: A Self-Adjusting Binary Search Tree

Exercises

Chapter 12 The Map ADT

12.1 The Map ADT

12.2 Focus on Problem Solving: A Pizza Ordering System

12.3 Hashing and Hash Tables

12.3 HashMap: A Hash Table Implementation of Map

12.3.1 Testing HashMap

Investigate: Radix Sort

12.4 Ordered Map

12.5 MultiMap

Exercises

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