数据结构与算法:C++版

数据结构与算法:C++版
作 者: Adam Drozdek
出版社: 清华大学出版社
丛编项: 国外计算机科学经典教材
版权说明: 本书为公共版权或经版权方授权,请支持正版图书
标 签: 数据结构
ISBN 出版时间 包装 开本 页数 字数
未知 暂无 暂无 未知 0 暂无

作者简介

暂缺《数据结构与算法:C++版》作者简介

内容简介

In Data Structures and Algorithms in C++, Second Edition, Adam Drozdek has successfully created a textbook that makes the subject accessible to students who are new to data strctures, while providing and appealing scope of material for more advanced students.

图书目录

Chapter 1 Object-Oriented Programming Using C++

1.1 Abstract Data Types

1.2 Encapsulation

1.3 Inheritance

1.4 Pointers

1.5 Polymorphism

1.6 C++ and Object-Oriented Programming

1.7 The Standard Template Library

1.8 Vectors in the Standard Template Library

1.9 Data Structures and Object-Oriented Programming

1.10 Case Study: Random Access File

1.11 Exercises

1.12 Programming Assignments

Chapter 2 Complexity Analysis

2.1 Computational and Asymptotic Complexity

2.2 Big-O Notation

2.3 Properties of Big-O Notation

2.4 Ω and Θ Notations

2.5 Possible Problems

2.6 Examples of complexities

2.7 Finding Asymptotic Complexity: Examples

2.8 the Best, Average, and Worst Cases

2.9 Amortized Complexity

2.10 Exercises

Chapter 3 Llinked Lis+s

3.1 Singly linked Lists

3.2 Doubyly linked Lists

3.3 Circular Lists

3.4 Skip Lists

3.5 Self-Organizing Lists

3.6 Sparse Tables

3.7 Lists in the Standard Template Library

3.8 Deques in the Standard Template Library

3.9 Concluding Remarks

3.10 Case Study: A Library

3.11 Exercises

3.12 Programming Assignements

Chapter 4 Stacks and Queues

4.1 Stacks

4.2 Queues

4.3 Priority Queues

4.4 Stacks in the Standard Template Library

4.5 Queues in the Standard Template Library

4.6 Priority Queues in the Standard Template Library

4.7 Case Study: Exiting a Maze

4.8 Exercises

4.9 Programming Assignments

Chapter 5 Recursion

5.1 Recursive Definitions

5.2 Function Calls and REcursion Implementation

5.3 Anatomy of a Recursive Call

5.4 Tail Recursion

5.5 Nontail Recursion

5.6 Indirect recursion

5.7 Nested Recursion

5.8 Excessive Recursion

5.9 Backtracking

5.10 Concluding Remarks

5.11 Case Study: A Recursive Descent Interpreter

5.12 Exercises

5.13 Programming Assignments

Chapter 6 Binary Tress

6.1 Trees, Bionary Trees, and Binary Search Trees

6.2 Implementing Binary Trees

6.3 Searching a Binary Search TRee

6.4 Tree Traversal

6.5 Insertion

6.6 Deletion

6.7 Balancing a Tree

6.8 Self-Adjusting TYrees

6.9 Heaps

6.10 Polish Notation and Expression Trees

6.11 Case Study: Computing Word Frequencies

6.12 Exercises

6.13 Programming Assignments

Chapter 7 Multiway Trees

7.1 The Family of B-Trees

7.2 Tires

7.3 Concluding Remarks

7.4 Case Study: Spell Checker

7.5 Exercises

7.6 Programming Assignments

Chapter 8 Graphs

8.1 Graph REpresentation

8.2 Graph Traversals

8.3 Shortest Path

8.4 Cycle Detection

8.5 Spanning Trees

8.6 Connectivity

8.7 Topological Sort

8.8 Networks

8.9 Matching

8.10 Eulerian and hamiltonian Graphs

8.11 Case Study: Distinct Representatives

8.12 Exercises

8.13 Programming Assignments

Chapter 9 Sorting

9.1 Elementary Sorting Algorithmns

9.2 Decision Trees

9.3 Efficient Sorting Algorithms

9.4 Sorting in the Standard Template Library

9.5 Concluding Remarks

9.6 Case Stuidy: Adding Polynomials

9.7 Exercises

9.8 Programming Assignments

Chapter 10 Hashing

10.1 Hash Functions

10.2 Collision Resolution

10.3 Deletion

10.4 Perfect Hash Functions

10.5 hash Functions for Extendible Files

10.6 Case Study: Hasing with Buckets

10.7 Exercises

10.8 Programming Assignments

Chapter 11 Data Compression

11.1 Conditions for Data Compression

11.2 huffman Coding

11.3 Shannon-Fano Code

11.4 Run-Length Encoding

11.5 Ziv-Lempel Code

11.6 Case Study: Huffman Method with Run-Length Encoding

11.7 Exercises

11.8 Programming Assignments

Chapter 12 Memory Management

12.1 The Sequential-Fit Methods

12.2 The Nonsequential-Fit Methods

12.3 Garbage Collection

12.4 Concluding REmarks

12.5 Case Study: An In-Place Garbage Collector

12.6 Exercises

12.7 Programming Assignments

Appendix A Computing Big-O

Appendix B Algorithms in the Standard Template Library