Data Abstraction and Problem Solving with Java

PART ONE - Problem-Solving Techniques

1 Review of Java Fundamentals

1.1 Program Structure

1.2 Language Basics

1.3 Selection Statements

1.4 Iteration Statements

1.5 Useful Java Classes

1.6 Java Exceptions

1.7 Text Input and Output

1.8 File Input and Output



2 Principles of Programming and Software Engineering

2.1 Problem Solving and Software Engineering

2.2 Achieving an Object-Oriented Design

2.3 A Summary of Key Issues in Programming



3 Recursion: The Mirrors

3.1 Recursive Solutions

3.2 Counting Things

3.3 Searching an Array

3.4 Organizing Data

3.5 Recursion and Efficiency



4 Data Abstraction: The Walls

4.1 Abstract Data Types

4.2 Specifying ADTs

4.3 Implementing ADTs



5 Linked Lists

5.1 Preliminaries

5.2 Programming with Linked Lists

5.3 Variations of the Linked List

5.4 Application: Maintaining an Inventory

5.5 The Java Collections Framework



PART TWO - Problem Solving with Abstract Data Types

6 Recursion as a Problem-Solving Technique

6.1 Backtracking

6.2 Defining Languages

6.3 The Relationship Between Recursion and Mathematical Induction



7 Stacks

7.1 The Abstract Data Type Stack

7.2 Simple Applications of the ADT Stack

7.3 Implementations of the ADT Stack

7.4 Application: Algebraic Expressions

7.5 Application: A Search Problem

7.6 The Relationship Between Stacks and Recursion



8 Queues

8.1 The Abstract Data Type Queue

8.2 Simple Applications of the ADT Queue

8.3 Implementations of the ADT Queue

8.4 A Summary of Position-Oriented ADTs

8.5 Application: Simulation



9 Advanced Java Topics

9.1 Inheritance Revisited

9.2 Dynamic Binding and Abstract Classes

9.3 The ADTs List and Sorted List Revisited

9.4 Java Generics

9.5 Iterators



10 Algorithm Efficiency and Sorting

10.1 Measuring the Efficiency of Algorithms

10.2 Sorting Algorithms and Their EfficiencySelection Sort



11 Trees

11.1 Terminology

11.2 The ADT Binary Tree

11.3 The ADT Binary Search Tree

11.4 General Trees



12 Tables and Priority Queues

12.1 The ADT Table

12.2 The ADT Priority Queue: A Variation of the ADT Table

12.3 Tables and Priority Queues in the JCF



13 Advanced Implementations of Tables

13.1 Balanced Search Trees

13.2 Hashing

13.3 Data with Multiple Organizations



14 Graphs

14.1 Terminology

14.2 Graphs as ADTs

14.3 Graph Traversals

14.4 Applications of Graphs



15 External Methods

15.1 A Look at External Storage

15.2 Sorting Data in an External File

15.3 External Tables



APPENDICES

A A Comparison of Java to C++

B Unicode Character Codes (ASCII Subset)

C Java Resources

D Mathematical Induction 828



Glossary

Answers to Self-Test Exercises

Index