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Data Structures and Algorithms Using Java

Name: Data Structures and Algorithms Using Java
Author: William McAllister
ISBN: 9781449612863

by William McAllister

December 2008

Intermediate to advanced

580 pages

15h 33m

English

Jones & Bartlett Learning

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Cover Page
Title Page
Copyright Page
Dedecation Page
Contents
Preface
Chapter 1 - Overview and Java Review
1.1 - Data Structures1.1.1 - What is Data?1.1.2 - What is a Data Structure?1.2 - Selecting a Data Structure1.2.1 - The Data Structure's Impact on Performance1.2.2 - Determining the Performance of a Data Structure1.2.3 - The Trade-Off Process1.3 - Fundamental Concepts1.3.1 - Terminology1.3.2 - Access Modes1.3.3 - Linear Lists1.3.4 - Data Structure Operations1.3.5 - Implementing a Programmer-Defined Data Structure1.3.6 - Procedural Abstractions and Abstract Data Types (ADTs)1.3.7 - Encapsulation1.4 - Calculating Speed (Time Complexity)1.4.1 - Big-O Analysis(O Standing for Order of Magnitude)1.4.2 - Algorithm Speed1.4.3 - Relative Speed of Algorithms1.4.4 - Absolute Speed of an Algorithm1.4.5 - Data Structure Speed1.5 - Calculating Memory Overhead (Space Complexity)1.6 - Java Review1.6.1 - Arrays of Primitive Variables1.6.2 - Definition of a Class1.6.3 - Declaration of an Object1.6.4 - Accessing Objects1.6.5 - Standard Method Name Prefixes1.6.6 - Shallow and Deep Copies1.6.7 - Declaration of an Array of Objects1.6.8 - Objects that Contain Objects as Data Members1.6.9 - Classes that Extend Classes, Inheritance1.6.10 - Parent and Child References1.6.11 - Generic TypesKnowledge ExercisesProgramming Exercises
Chapter 2 - Array-Based Structures
2.1 - The Built-in Structure Array2.1.1 - Multidimensional Arrays2.2 - Programmer-Defined Array Structures2.2.1 - Unsorted Array2.2.2 - Sorted Array2.2.3 - Unsorted-Optimized Array2.2.4 - Error Checking2.3 - Implementation of the Unsorted-Optimized Array Structure2.3.1 - Baseline Implementation2.3.2 - Utility Methods2.4 - Expandable Array-Based Structures2.5 - Generic Data Structures2.5.1 - Design Considerations2.5.2 - Generic Implementation of the Unsorted-Optimized Array2.5.3 - Client-Side Use of Generic Structures2.5.4 - Heterogeneous Generic Data Structures2.6 - Java's ArrayList ClassKnowledge ExercisesProgramming Exercises
Chapter 3 - Restricted Structures
3.1 - Restricted Structures3.2 - Stack3.2.1 - Stack Operations, Terminology, and Error Conditions3.2.2 - Classical Model of a Stack3.2.3 - A Stack Application: Evaluation of Arithmetic Expressions3.2.4 - Expanded Model of a Stack3.3 - Queue3.3.1 - Queue Operations, Terminology, and Error Conditions3.3.2 - Classical Model of a Queue3.3.3 - Queue Applications3.3.4 - Expanded Model of a Queue3.4 - Generic Implementation of the Classic Stack, a Methodized Approach3.4.1 - Generic Conversion Methodology3.5 - Priority Queues3.6 - Java's Stack ClassKnowledge ExercisesProgramming Exercises
Chapter 4 - Linked Lists and Iterators
4.1 - Noncontiguous Structures4.2 - Linked Lists4.3 - Singly Linked Lists4.3.1 - Basic Operation Algorithms4.3.2 - Implementation4.3.3 - Performance of the Singly Linked List4.3.4 - A Stack Implemented as a Singly Linked List4.4 - Other Types of Linked Lists4.4.1 - Circular Singly Linked List4.4.2 - Double-Ended Singly Linked List4.4.3 - Sorted Singly Linked List4.4.4 - Doubly Linked List4.4.5 - Multilinked List4.5 - Iterators4.5.1 - Implementation of an Iterator4.5.2 - Multiple Iterators4.6 - Java's LinkedList Class and ListIterator InterfaceKnowledge ExercisesProgramming Exercises

Chapter 5 - Hashed Data Structures
5.1 - Hashed Data Structures5.2 - Hashing Access Algorithms5.2.1 - A Hashing Example5.3 - Perfect Hashed Data Structures5.3.1 - Direct Hashed Structure5.4 - Nonperfect Hashed Structures5.4.1 - Primary Storage Area Size5.4.2 - Preprocessing Algorithms5.4.3 - Hashing Functions5.4.4 - Collision Algorithms5.4.5 - The Linear Quotient (LQHashed) Data Structure Implementation5.4.6 - Dynamic Hashed StructuresKnowledge ExercisesProgramming Exercises
Chapter 6 - Recursion
6.1 - What is Recursion?6.2 - Understanding Recursive Algorithms6.2.1 - n Factorial6.2.2 - The Code of a Recursive Algorithm6.2.3 - Tracing a Recursive Method's Execution Path6.3 - Formulating a Recursive Algorithm6.3.1 - Definitions6.3.2 - Methodology6.3.3 - Practice Problems6.4 - Problems with Recursion6.4.1 - Dynamic Programming Applied to Recursion6.5 - Backtracking, an Application of Recursion6.5.1 - A Generalized Backtracking Algorithm6.5.2 - Algorithm Adaptation MethodologyKnowledge ExercisesProgramming Exercises
Chapter 7 - Trees
7.1 - Trees7.1.1 - Graphics and Terminology of Trees7.2 - Binary Trees7.2.1 - Terminology7.2.2 - Mathematics7.3 - Binary Search Trees7.3.1 - Basic Operation Algorithms7.3.2 - Performance7.3.3 - Implementation7.3.4 - Standard Tree Traversals7.3.5 - Balanced Search Trees7.3.6 - Array Implementation of a Binary Search Tree7.3.7 - Performance7.3.8 - Java's TreeMap Data StructureKnowledge ExercisesProgramming Exercises
Chapter 8 - Sorting
8.1 - Sorting8.2 - Sorting Algorithm Speed8.2.1 - Minimum Sort Effort8.2.2 - An Implementation Issue Affecting Algorithm Speed8.3 - Sorting Algorithms8.3.1 - The Binary Tree Sort8.3.2 - The Bubble Sort8.3.3 - The Heap Sort8.3.4 - The Merge Sort8.3.5 - QuicksortKnowledge ExercisesProgramming Exercises
Chapter 9 - Graphs
9.1 - Introduction9.1.1 - Graphics and Terminology of Graphs9.2 - Representing Graphs9.2.1 - Representing Vertices9.2.2 - Representing Edges9.3 - Operations Performed on Graphs9.4 - Implementing Graphs in the Vertex Number Mode9.5 - Traversing Graphs9.5.1 - Depth-First Traversal9.5.2 - Breadth-First Traversal9.6 - Connectivity and Paths9.6.1 - Connectivity of Undirected Graphs9.6.2 - Connectivity of Directed Graphs9.6.3 - Spanning Trees9.6.4 - Shortest PathsKnowledge ExercisesProgramming Exercises
Appendices
Appendix A - ASCII Table
Appendix B - Derivation of the Average Search Length of a Nondirect Hashed Data Structure
Appendix C - Proof That If an Integer, P, is not Evenly Divisible by an Integer Less Than the Square Root of P, It is a Prime Number
Appendix D - Calculations to Show That (n + 1) (log2(n + 1) − 2) is the Minimum Sort Effort for the Binary Tree Sort
Glossary
Index

Content preview from Data Structures and Algorithms Using Java

CHAPTER 2 Array-Based Structures

OBJECTIVES

The objectives of this chapter are to familiarize the student with the use of the built-in structure array, the implementation techniques common to all data structures, and the use of these techniques to develop three array-based structures. More specifically, the student will be able to

Understand the memory-model programming languages used to implement arrays, and the advantages and disadvantages of this representation.

Explain which of the four basic operations are allowed on the built-in structure ...

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Data Structures and Algorithms Using Java

by William McAllister

CHAPTER 2

Array-Based Structures

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