Data Structure Algorithms Using C A Practical Implementation 1st edition by Sachi Nandan Mohanty, Pabitra Kumar Tripathy 9781119752035 1119752035

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Product details:

ISBN 10: 1119752035
ISBN 13: 9781119752035 
Author: Sachi Nandan Mohanty; Pabitra Kumar Tripathy

The book will be read and used by graduate and postgraduate students in engineering, as well by faculty members and researchers at technical universities. This book will be helpful to the engineering students/ technical students and other naive learners those who do not have any idea about programming language before but is willing to work hard to learn.

Data Structure Algorithms Using C A Practical Implementation 1st Table of contents:

1. Introduction to Data Structure
1.1 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

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

3. Sparse Matrix
3.1 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

4. Concepts of Class
4.1 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

5. Stack
5.1 STACK
5.2 Operations Performed With STACK
5.3 ALGORITHMS
5.4 Applications of STACK
5.5 Programming Implementations of STACK
5.6 Questions

6. Queue
6.1 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

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

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

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

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

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

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