《数据结构 C语言版》PDF下载

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  • 作  者:(印)克里斯哈拉莫斯(Krishnamoorthy,R.),(印)库玛纳维尔(Kumaravel,G.I.)著
  • 出 版 社:北京:清华大学出版社
  • 出版年份:2009
  • ISBN:9787302207313
  • 页数:606 页
图书介绍:本书是一本非常有特点的教材,每章先简要介绍本章的主要内容,给出基本的知识背景,然后使用大量的示例、表格、插图和流程图来阐述各种概念和知识。

1.Data Structures—An Overview 1

1.1 Introduction 1

1.2 Data Types 3

1.3 Program Modules  4

1.4 Control Structures 7

1.5 Looping Structures 13

1.6 Arrays 16

1.7 Structures 24

1.8 Pointers 28

1.9 Recursion  31

Review Yourself 35

Multiple Choice Questions  36

Programming Exercises  38

2.Strings and Character Manipulation 39

2.1 Introduction  39

2.2 Primitive Functions or Operations on Strings  39

2.3 Representation of Strings  41

2.4 String Manipulation in C  42

2.5 String Manipulation Applications  58

Review Yourself  66

Multiple Choice Questions  67

Programming Exercises 67

3.Stacks 68

3.1 Introduction  68

3.2 Definition 68

3.3 Primitive Operations  69

3.4 An abstract Data Type(ADT)  70

3.5 Implementation 70

3.6 Applications of Stack  76

Review Yourself  99

Multiple Choice Questions  99

Programming Exercises 101

4.Queues 102

4.1 Introduction 102

4.2 Definition 102

4.3 Operations on a Queue 103

4.4 ADT forQueues  104

4.5 Representation of Queue 104

4.6 Various Other Queue Structures 112

4.7 Applications 152

Review Yourself  165

Multiple Choice Questions 165

Programming Exercises 165

5.Linked Lists 168

5.1 Introduction 168

5.2 Definition 168

5.3 ADT for Linked List 169

5.4 Singly Linked List 169

5.5 Doubly Linked List 184

5.6 Circular Linked Lists 198

5.7 Sparse Matrices 210

5.8 Applications  232

5.9 Additional Programs 254

Review Yourself  272

Multiple Choice Questions  272

Programming Exercises  273

6.Trees 274

6.1 Introduction 274

6.2 Definition 274

6.3 Terminologies Used 274

6.4 Binary Tree  276

6.5 Threaded Binary Trees  296

6.6 Heap Trees  317

6.7 Deaps  327

6.8 Huffman Algorithm  337

6.9 Decision Trees  344

6.10 Game Tree  351

6.11 Applications  358

Review Yourself  362

Multiple Choice Questions  362

Programming Exercises  363

7.Graphs 364

7.1 Introduction 364

7.2 Definition 365

7.3 Terminologies Used  366

7.4 Representation of Graphs  369

7.5 ADT for Graphs  372

7.6 Extra Information that can be Retrieved from the Adjacency Matrix of the Graph 373

7.7 Operations on Graphs  374

7.8 Applications  410

7.9 Unweighted Shortest Path for Graphs Using Adjacency Matrix  439

7.10 Introduction to NP-completeness  444

Review Yourself  445

Multiple Choice Questions  445

Programming Exercises  446

8.Sorting  447

8.1 Introduction  447

8.2 Definition  448

8.3 Internal Sorting  448

8.4 External Sorting  474

Review Yourself  483

Multiple Choice Questions  483

Programming Exercises  484

9.Searching  485

9.1 Introduction  485

9.2 Quantity Dependent Search Techniques  485

9.3 Density Dependent Search Techniques  490

9.4 Indexed Search Techniques  509

Review Yourself  512

Multiple Choice Questions  512

Programming Exercises  513

10.Search Trees 514

10.1 Introduction 514

10.2 Binary Search Tree(BST)  514

10.3 AVL Trees 530

10.4 B-Trees  544

10.5 B+-Trees  562

10.6 Tries  572

Review Yourself  587

Multiple Choice Questions  587

Programming Exercises  588

11.File Structures 589

11.1 Files  589

Review Yourself  599

Multiple Choice Questions 600

Programming Exercises  600

Index 602