数据结构和编程设计·应用C语言(第二版)
本书以C++为描述语言，系统介绍数据结构的有关内容及程序设计方法。每章都是先引入实例，然后结合实例讲解知识点，每章后都附有指针和陷阱的内容，还配有复习思考题，以检验读者的学习效果和培养读者的程序设计能...
本书以C++为描述语言，系统介绍数据结构的有关内容及程序设计方法。每章都是先引入实例，然后结合实例讲解知识点，每章后都附有指针和陷阱的内容，还配有复习思考题，以检验读者的学习效果和培养读者的程序设计能力。此外，每章后还有深入学习本章知识点的阅读参考资料，有利于读者加深对本章知识点的理解。全书既注重原理又重视实践，内容叙述详细，并配有大量的实例和习题。书中所有算法均在计算机上运行通过，且程序中做了较详细的注解，有利于读者理解算法的实质和编程思想。
本书既可作为高等学校计算机及相关专业学生的教材，亦可供从事计算机应用的工程技术人员参考。
《数据结构和编程设计——应用C语言(第2版)》以C++为描述语言，系统介绍数据结构的有关内容及程序设计方法。每章都是先引入实例，然后结合实例讲解知识点，每章后都附有指针和陷阱的内容，还配有复习思考题，以检验读者的学习效果和培养读者的程序设计能力。此外，每章后还有深入学习本章知识点的阅读参考资料，有利于读者加深对本章知识点的理解。全书既注重原理又重视实践，内容叙述详细，并配有大量的实例和习题。书中所有算法均在计算机上运行通过，且程序中做了较详细的注解，有利于读者理解算法的实质和编程思想。本书由克鲁斯等著。
PREFACE
Synopsis
Changes in the Second Edition
Course Structure
Book Production
Acknowledgments
CHAPTER 1 Programming Principles
1.1 Introduction
1.2 The Game of Life
1.2.1 Rules for the Game of Life
1.2.2 Examples
1.2.3 The Solution
1.2.4 Life:The Main Program
1.3 Programming Style
1.3.1 Names
1.3.2 Documentation and Format
1.3.3 Refinement and Modularity
1.4 Coding,Testing,and Further Refinement
1.4.1 Stubs
1.4.2 Counting Neighbors
1.4.3 Input and Output
1.4.4 Drivers
1.4.5 Program Tracing
1.4.6 Principles of Program Testing
Pointers and Pitfalls
Review Questions
References for Further Study
C
Programming Principles
The Game of Life
CHAPTER 2 Introduction to Software Engineering
2.1 Program Maintenance
2.1.1 Review of the Life Program
2.1.2 A Fresh Start and a New Method for Life
2.2 Algorithm Development:A Second Version of Life
2.2.1 Lists:Specifications for a Data Structure
2.2.2 The Main Program
2.2.3 Information Hiding
2.2.4 Refinement:Development of the Subprograms
2.2.5 Verification of Algorithms
2.3 Coding
2.3.1 The List Functions
2.3.2 Error Processing
2.3.3 Demonstration and Testing
2.4 Coding the Life Functions
2.5 Program Analysis and Comparison
2.6 Conclusions and Preview
2.6.1 The Game of Life
2.6.2 Program Design
2.6.3 C
Pointers and Pitfalls
Review Questions
References for Further Study
CHAPTER 3 Stacks and Recursion
3.1 Stacks
3.1.1 IntrodUCtion
3.1.2 First Example:Reversing a Line
3.1.3 Information Hiding
3.1.4 Specifications for a Stack
3.1.5 Implementation of Stacks
3.1.6 Linked Stacks
3.2 Introduction to Recursion
3.2.1 Stack Frames for SubprogralTts
3.2.2 Tree of Subprogram Calls
3.2.3 FactOrials:A Recursive Definition
3.2.4 Divide and Conquer:The Towers of Hanoi
3.3 Backtracking:Postponing the Work
3.3.1 Solving the Eight-Queens Puzzle
3.3.2 Example:Four Queens
3.3.3 Backtracking
3.3.4 Refinement:Choosing the Data Structures
3.3.5 AnalVsis of Backtracking
3.4 Principles of Recursion
3.4.1 DesiSntng Recursive Algorithms
3.4.2 How Recursion Works
3.4.3 Tail Recursion
3.4.4 When Not to Use Recursion
3.4.5 Guidelines and Conclusions
Pointrs and Pitfalls
Review Questions
References for Further Study
CHAPTER 4 Queues and Linked Lists
4.1 Definitions
4.2 Implementations of Queues
4.3 Circular Queues in C
4.4 Application of Queues:Simulation
4.4.1 Introduction
4.4.2 Simulation of an Airpoort
4.4.3 The Main Program
4.4.4 Steps of the Simulation
4.4.5 Pseudo-Random Numbers
4.4.6 Sample Results
4.5 Pointers and Linked Lists
4.5.1 Introduction and Survey
4.5.2 Pointers and Dynamic Memory in C
4.5.3 The Basics of Linked Lists
4.6 Linked Queues
4.7 Application:Polynomial Arithmetic
4.7.1 Purpose of the Project
4.7.2 The Main Program
4.7.3 Data Structures and Their Implementation
4.7.4 Reading and Writing Polynomials
4.7.5 Addition of Polynomials
4.7.6 Completing the Project
4.8 Abstract Data Types and Their Implementations
4.8.1 Introduction
4.8.2 General Definitions
4.8.3 Refinement of Data Specification
Pointers and Pitfalls
Review Questions
References for Further Study
CHAPTER 5 General Lists
5.1 List Specifications
5.2 Implementation of Lists
5.2.1 Contiguous Implementation
5.2.2 Simply Linked Implementation
5.2.3 Variation:Keeping the Current Position
5.2.4 Doubly Linked Lists
5.2.5 Comparison of Implementations
5.3 Strings
5.4 Application:A Text Editor
5.4.1 Specifications
5.4.2 Implementation
5.5 Linked Lists in Arrays
5.6 Generating Permutations
Pointers and Pitfalls
Review Questions
References for Further Study
CHAPTER 6 Searching
6.1 Searching:Introduction and Notation
6.2 Sequential Search
6.3 Coatrooms:A Project
6.3.1 Introduction and Specification
6.3.2 Demonstration and Testing Programs
6.4 Binary Search
6.4.1 Algorithm Development
6.4.2 The Forgetful Version
6.4.3 Recognizing Equality
6.5 Comparisonn Trees
6.5.1 Analysis for n=10
6.5.2 Generalization
6.5.3 Comparison of Methods
6.5.4 A General Relationship
6.6 Lower Bounds
6.7 Asymptotics
6.7.1 Introduction
6.7.2 The Big-O Notation
6.7.3 Imprecision of the Big-O Notation
6.7.4 Ordering of Common Functions
Pointers and Pitfalls
Review Questions
References for Further Study
CHAPTER 7 Sorting
7.1 Introduction and Notation
7.2 Insertion Sort
7.2.1 Ordered Lists
7.2.2 Sorting by Insertion
7.2.3 Linked Version
7.2.4 Analysis
7.3 Selection Sort
7.3.1 The Algorithm
7.3.2 Contiguous Implementation
7.3.3 Analysis
7.3.4 Comparisons
7.4 Shell Sort
7.5 Lower Bounds
7.6 DiVide-and-Conquer Sorting
7.6.1 The Main Ideas
7.6.2 An Example
7.7 Mergesorft for Linked Lists
7.7.1 The Functions
7.7.2 AnalVsis of Mergsort
7.8 Quicksort for Contiguous Lists
7.8.1 The Main Function
7.8.2 Partitioning the List
7.8.3 Analysis of QLlickSort
7.8.4 AVerage-Case Analysis of Quicksort
7.8.5 Comparison with Mergesort
7.9 Heaps and Heapsort
7.9.1 Two.Way Trees as Lists
7.9.2 Heapsort
7.9.3 Analysis of Heapsort
7.9.4 Priority Queues
7.10 Review:Comparison of Methods
Pointers and Pitfalls
Review Questions
References for Further Study
CHAPTER 8 Tables and Information Retrieval
8.1 Introduction:Breaking the lgnbarrier
8.2 Rectangular Arrays
8.3 Tables of Various Shapes
8.3.1 Triangular Tables
8.3.2 Jagged Tables
8.3.3 Inverted Tables
8.4 Tables:A New Abstract Data Type
8.5 Application:Radix Sort
8.5.1 The Idea
8.5.2 Implementation
8.5.3 Analvsis
8.6 Hashing
8.6.1 Sparse Tables
8.6.2 Choosing a Hash Function
8.6.3 Collision Resolution with Open Addressing
8.6.4 Conision Resolution by Chaining
8.7 Analysis of Hashing
8.8 Conclusions:Comparison of Methods
8.9 Application:The Life Game Revisited
8.9.1 Choice of Algorithn
8.9.2 Specification of Data Structures
8.9.3 The Main Program
8.9.4 Functions
POinters and Pitfalls
Review Questions
References for Further Study
CHAPTER 9 Binarv Trees
9.1 Introduction to Binary Trees
9.1.1 Definitions
9.1.2 Traversal of Binary Trees
9.1.3 Linked Implementation of Billarv Trees
9.2 BinarV Search Trees
9.2.1 ordered Lists and Implementations
9.2.2 Treesearch
9.2.3 Insertion into a BinarV Search Tree
9.2.4 Treesort
9.2.5 Deletion from a Binarv SearCh Tree
9.3 Building a Binary Search Tree
9.3.1 Getting Started
9.3.2 Declarations and the Main Function
9.3.3 Inserting a Node
9.3.4 Finishing the Task
9.3.5 Evaluation
9.3.6 RandOm Search Trees and Optimalit
9.4 Height Balance:AVL Trees
9.4.1 Definition
9.4.2 Insertion of a Node
9.4.3 Deletion of a Node
9.4.4 The Height of an AVL Tree
9.5 Splav Trees:A Self-Adj usting Data Stlllcture
9.5.1 Introduction
9.5.2 Splayillg Steps
9.5.3 Splaying Algorithm
9.5.4 AmOrtized Algorithm AnalVsis:Introduction
9.5.5 Amortized Analysis of Splaying
Pointers and Pitfalls
Review Questions
References for Further Study
CHAPTER 10 Multiway Trees
10.1 Orchards,Trees,and Binary Trees
10.1.1 on the Classification of Species
10.1.2 Ordered Trees
10.1.3 Forests and Orchards
10.1.4 The Formal Correspondence
10.1.5 Rotations
10.1.6 Summary
10.2 Lexicographic Search Trees:Tries
10.2.1 Tries
10.2.2 Searching for a Key
10.2.3 C Algorithm
10.2.4 Insertion into a Trie
10.2.5 Deletion from a Trie
10.2.6 Assessment of Tries
10.3 External Searchiring:B-Trees
10.3.1 Access Time
10.3.2 Multiway Search Trees
10.3.3 Balanced Multiway Trees
10.3.4 Insertion into a B-tree
10.3.5 C Algorithms:Searching and Insertion
10.3.6 Deletion from a B-tree
10.4 Red-Black Trees
10.4.1 Introduction
10.4.2 Definition and Analysis
10.4.3 Insertion
10.4.4 C Insertion
10.5 Tree-Structured Programs:Look-Ahead in Games
10.5.1 Game Trees
10.5.2 The Minimax Method
10.5.3 Algorithm Development
10.5.4 Refinement
Pointers and Pitfalls
Review Questions
References for Further Study
CHAPTER 11 Graphs
11.1 Mathematical Background
11.1.1 Defimtions and Examples
11.1.2 Undirected Graphs
11.1.3 Directed Graphs
11.2 Computer Representation
11.3 Graph Traversal
11.3.1 Methods
11.3.2 Depth-First Algorithm
11.3.3 Breadth-First Algorithm
11.4 T0p010gical Sorting
11.4.1 The Problem
11.4.2 Depth-First Algorithm
11.4.3 Br.eadth.First AlgOrithm
11.5 A Greedy Algorithm:Shortest Paths
11.6 Graphs as Data Structures
P0interS and Pitfalls
Review Questions
References for Funher Study
CHAPTER 12 Case Study:The Polish Notation
12.1 The PrOblem
12.1
