Sachi Nandan Mohanty - Data Structure and Algorithms Using C++

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Everyone knows that programming plays a vital role as a solution to automate and execute a task in a proper manner. Irrespective of mathematical problems, the skills of programming are necessary to solve any type of problems that may be correlated to solve real life problems efficiently and effectively. This book is intended to flow from the basic concepts of C++ to technicalities of the programming language, its approach and debugging. The chapters of the book flow with the formulation of the problem, it’s designing, finding the step-by-step solution procedure along with its compilation, debugging and execution with the output. Keeping in mind the learner’s sentiments and requirements, the exemplary programs are narrated with a simple approach so that it can lead to creation of good programs that not only executes properly to give the output, but also enables the learners to incorporate programming skills in them. The style of writing a program using a programming language is also emphasized by introducing the inclusion of comments wherever necessary to encourage writing more readable and well commented programs. As practice makes perfect, each chapter is also enriched with practice exercise questions so as to build the confidence of writing the programs for learners. The book is a complete and all-inclusive handbook of C++ that covers all that a learner as a beginner would expect, as well as complete enough to go ahead with advanced programming. This book will provide a fundamental idea about the concepts of data structures and associated algorithms. By going through the book, the reader will be able to understand about the different types of algorithms and at which situation and what type of algorithms will be applicable.

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Table of Contents

1 Cover

2 Title Page

3 Copyright

4 Preface

5 1 Introduction to Data Structure1.1 Definition and Use of Data Structure 1.2 Types of Data Structure 1.3 Algorithm 1.4 Complexity of an Algorithm 1.5 Efficiency of an Algorithm 1.6 Asymptotic Notations 1.7 How to Determine Complexities 1.8 Questions

6 2 Review of Concepts of ‘C++’2.1 Array 2.2 Function 2.3 Pointer 2.4 Structure 2.5 Questions

7 3 Sparse Matrix3.1 What is Sparse Matrix 3.2 Sparse Matrix Representations 3.3 Algorithm to Represent the Sparse Matrix 3.4 Programs Related to Sparse Matrix 3.5 Why to Use Sparse Matrix Instead of Simple Matrix? 3.6 Drawbacks of Sparse Matrix 3.7 Sparse Matrix and Machine Learning 3.8 Questions

8 4 Concepts of Class4.1 Introduction to CLASS 4.2 Access Specifiers in C++ 4.3 Declaration of Class 4.4 Some Manipulator Used In C++ 4.5 Defining the Member Functions Outside of the Class 4.6 Array of Objects 4.7 Pointer to Object 4.8 Inline Member Function 4.9 Friend Function 4.10 Static Data Member and Member Functions 4.11 Constructor and Destructor 4.12 Dynamic Memory Allocation 4.13 This Pointer 4.14 Class Within Class 4.15 Questions

9 5 Stack5.1 STACK 5.2 Operations Performed With STACK 5.3 ALGORITHMS 5.4 Applications of STACK 5.5 Programming Implementations of STACK 5.6 Questions

10 6 Queue6.1 Queue 6.2 Types of Queue 6.3 Linear Queue 6.4 Circular Queue 6.5 Double Ended Queue 6.6 Priority Queue 6.7 Programs 6.8 Questions

11 7 Linked List 7.1 Why Use Linked List? 7.2 Types of Link List 7.3 Single Link List 7.4 Programs Related to Single Linked List 7.5 Double Link List 7.6 Programs on Double Linked List 7.7 Header Linked List 7.8 Circular Linked List 7.9 Application of Linked List 7.10 Garbage Collection and Compaction 7.11 Questions

12 8 TREE 8.1 Tree Terminologies 8.2 Binary Tree 8.3 Representation of Binary Tree 8.4 Operations Performed With the Binary Tree 8.5 Traversing With Tree 8.6 Conversion of a Tree From Inorder and Preorder 8.7 Types of Binary Tree 8.8 Expression Tree 8.9 Binary Search Tree 8.10 Height Balanced Tree (AVL Tree) 8.11 Threaded Binary Tree 8.12 Heap Tree 8.13 Huffman Tree 8.14 Decision Tree 8.15 B-Tree 8.16 B + Tree 8.17 General Tree 8.18 Red–Black Tree 8.19 Questions

13 9 Graph 9.1 Graph Terminologies 9.2 Representation of Graph 9.3 Traversal of Graph 9.4 Spanning Tree 9.5 Single Source Shortest Path 9.6 All Pair Shortest Path 9.7 Topological Sorting 9.8 Questions

14 10 Searching and Sorting 10.1 Linear Search 10.2 Binary Search 10.3 Bubble Sort 10.4 Selection Sort 10.5 Insertion Sort 10.6 Merge Sort 10.7 Quick Sort 10.8 Radix Sort 10.9 Heap Sort 10.10 Questions

15 11 Hashing 11.1 Hash Functions 11.2 Collisions 11.3 Collision Resolution Methods 11.4 Clustering 11.5 Questions

16 Index

17 End User License Agreement

Guide

1 Cover

2 Table of Contents

3 Title page

4 Copyright

5 Preface

6 Begin Reading

7 Index

8 End User License Agreement

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