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C++: Classes and Data Structures
- By Jeffrey Childs
- Published Aug 10, 2007 by Pearson.
Book
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- List Price: $179.99
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About
Features
• Focus on the client:
– Writes all programs, classes, and data structures from scratch with the client in mind.
– Encourages students’ sensitivity to the client, making them more marketable for future employment.
– Addresses an important consideration often overlooked in other texts (and left to employers to teach).
• Meaningful, relevant examples.
• Worked examples provided throughout.
• Thorough testing of all code.
• Code for all examples provided.
• PowerPoint slides Description
- Copyright 2008
- Dimensions: 7" x 9-1/4"
- Pages: 416
- Edition: 1st
- Book
- ISBN-10: 0-13-158051-5
- ISBN-13: 978-0-13-158051-0
Most books on data structures are filled with so many technical details (and lack thorough explanations) that the reading becomes difficult. This accessible, conversational presentation explores data structures concepts in clear language. KEY TOPICS: Assumes a basic knowledge of C++. Focuses on the client for all programs, classes, and data structures. Offers meaningful, relevant examples and worked examples throughout. Includes thoroughly tested code. Provides code for all examples. MARKET: A useful reference for anyone interested in learning more about programming.
Sample Content
Table of Contents
Contents
Preface IX
Chapter 1 Structs and Classes 1
1.1 Structs
1.2 Basic Class Concepts
1.3 Class Implementation
1.4 Testing a Class
1.5 Placing Function Definitions in the Class Definition (and Why We Shouldn’t Do It)
1.6 Commenting a Class
1.7 The Differences Between a Struct and a Class
Summary
Exercises
Chapter 2 Overloaded Operators, Class Templates, and Abstraction
2.1 Overloaded Operators
2.2 Using a Check Struct in the Checkbook Class
2.3 Class Templates
2.4 Classes and Abstraction
Summary
Exercises
Chapter 3 More about Classes
3.1 The const Specifier
3.2 Constructors
3.3 Class Modification
3.4 Modifying the Checkbook Class to Keep a History of Checks
Summary
Exercises
Chapter 4 Pointers and Dynamic Arrays
4.1 Pointers
4.2 The [ ] Operator
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vi Contents
4.3 Dynamically Allocated Memory
4.4 Dynamic Arrays
4.5 The Delete Operator
4.6 Pointers to Objects
4.7 Running out of Heap Memory
4.8 Adjustable Arrays
Summary
Exercises
Chapter 5 An Array Class
5.1 Array Class Template
5.2 Using the Array Class
5.3 Destructors
5.4 The Copy Constructor 107
5.5 The Overloaded Assignment Operator Function
5.6 An Example 117
5.7 Advantages and Disadvantages of an Array Class
5.8 The Standard Template Library
Summary
Exercises
Chapter 6 Introduction to Object-Oriented Programming
6.1 Composition
*6.2 Inheritance
*6.3 Polymorphism
Summary
Exercises
Chapter 7 Methods for Making Data Structures
7.1 Using Arrays in Data Structures
7.2 Introduction to Linked Structures
7.3 Writing Code for Linked Lists
7.4 Arrays vs. Linked Lists
Summary
Exercises
Chapter 8 Stacks and Queues
8.1 The Stack ADT
8.2 Array Implementation of a Stack
8.3 Linked-List Implementation of a Stack
8.4 The Queue ADT
8.5 The Linked-List Implementation of a Queue
8.6 Other Linked-List Implementations of Queues
*8.7 Array Implementation of a Queue
Summary
Exercises
Contents vii
Chapter 9 Introduction to Time Complexities
9.1 Time Complexity Basics
9.2 The Constant Time Complexity
9.3 Big-Oh Notation
9.4 The Logarithmic Time Complexity
9.5 The Binary Search Algorithm
9.6 Computer Speed: Where Does It Really Come From?
9.7 Time Complexities of Data Structure Functions
*9.8 Amortized Analysis of Array Expansion and Contraction
Summary
Exercises
Chapter 10 The Linked List as a Data Structure
10.1 The List ADT
10.2 Using Key Values in Records of Information
10.3 Linked-List Implementation
10.4 Other Implementations
Summary
Exercises
Chapter 11 Hash Tables
11.1 The Hash Table ADT
11.2 Hash Functions and Hash Table Design
11.3 Implementation Issues for a Hash Table
11.4 Pointers to Functions
11.5 A Hash Table Implementation
11.6 Using the Hash Table Implementation
11.7 A Hash Table Implementation of a Doubly Linked List
Summary
Exercises
Chapter 12 Priority Queues, Trees, and Heaps
12.1 Priority Queue ADT
12.2 Priority Queue Design
12.3 Trees
12.4 Heaps
12.5 Using a One-Assignment Swap
12.6 A Heap Implementation of a Priority Queue (Array-Based)
*12.7 The Design of a Linked (Embedded) Heap
*12.8 A Linked (Embedded) Heap Implementation of a Priority Queue
Summary
Exercises
Chapter 13 Recursion
13.1 A Recursive Factorial Function
13.2 Guidelines for Writing Recursive Functions
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viii Contents
13.3 Using Recursion on Linked Structures
13.4 Time Complexities of Recursive Functions
Summary
Exercises
Chapter 14 Introduction to Sorting Algorithms
14.1 Heapsort
14.2 Insertion Sort
14.3 Quicksort
14.4 Counting Sort
14.5 Sorting a Linked List
Summary
Exercises
Chapter 15 Other Data Structures
15.1 Binary Search Trees
15.2 Comparison of the BST with Other Data Structures
15.3 Graphs
15.4 Comparing Adjacency Matrices with Adjacency Lists
Summary
Exercises
Appendix A How to Compile and Work with Multiple-File Programs
Microsoft Visual Studio 2005 C++ Compiler
Compiling and Running Code Using Classes (Not Class Templates)
Compiling and Running Code Using Class Templates
Writing Code Using Microsoft Visual Studio 2005
Opening a Project in Microsoft Visual Studio 2005 That You Have Already Created
When Things Really Get Screwed Up
UNIX compilers
Index
