Data Structures and Algorithms Implementation through C

Key Features
This book is especially designed for beginners, explains all basics and concepts about data structure.
Source code of all data structures are given in C language.
Important data structures like Stack, Queue, Linked List, Tree and Graph are well explained.
Solved example, frequently asked in the examinations are given which will serve as a useful reference source.
Effective description of sorting algorithm (Quick Sort, Heap Sort, Merge Sort etc.)
Description
Book gives a full understanding of the theoretical topic and easy implementation of data structures through C. The book is going to help students in self-learning of data structures and in understanding how these concepts are implemented in programs.
Algorithms are included to clear the concept of data structure. Each algorithm is explained with figures to make student clearer about the concept. Sample data set is taken and step by step execution of the algorithm is provided in the book to ensure the in-depth knowledge of students about the concept discussed.
What will you learn
New features and essential of Algorithms and Arrays.
Linked List, its type and implementation.
Stacks and Queues
Trees and Graphs
Searching and Sorting
Greedy method
Beauty of Blockchain
Who this book is for
This book is specially designed to serve as textbook for the students of various streams such as PGDCA, B.Tech. /B.E., BCA, BSc M.Tech. /M.E., MCA, MS and cover all the topics of Data Structure. The subject data structure is of prime importance for the students of Computer Science and IT. It is practical approach for understanding the basics and concepts of data structure. All the concepts are implemented in C language in an easy manner. To make clarity on the topic, diagrams, examples and programs are given throughout the book
Table of Contents
1. Algorithm and Flowcharts
2. Algorithm Analysi
3. Introduction to Data structure
4. Functions and Recursion
5. Arrays and Pointers
6. String
7. Stack
8. Queues
9. Linked Lists
10. Trees
11. Graphs
12. Searching
13. Sorting
14. Hashing