Graphs In Data Structures | Graph Representation In Data Structure | Data Structures | Simplilearn
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This data structures tutorial is dedicated to helping beginners understand the graphs in data structures. In this tutorial, you will understand the fundamentals and terminologies of the graph data structure, their types and their representation using different methods. The graphs in this tutorial are represented using both arrays and linked lists. The graph traversal procedure is included in the video for providing a better learning experience. The video includes the following topic.
00:00 Introduction to Graphs In Data Structures
01:00 What is a Graph in Graphs In Data Structures
02:25 Graphs In Data Structures Terminologies
04:00 Types of Graphs In Data Structures
10:45 Representation of Graphs In Data Structures
15:25 Graphs In Data Structures Traversal
16:48 Applications of Graphs In Data Structures.
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What are Graphs In Data Structures?
Graphs In Data Structures can be defined as an abstract and nonlinear data structure capable of storing, accessing, and manipulating the data elements. The graphs consist of two major structural elements called vertices and edges. The edges connect with vertices based on direction and weight. Based on the direction and weight, there are different types of graphs according to their utility. The graphs are traversed using the BFS and DFS algorithms.
What Is a Data Structure?
The short answer is: a data structure is a specific means of organizing data in a system to access and use. The long answer is a data structure is a blend of data organization, management, retrieval, and storage, brought together into one format that allows efficient access and modification. It’s collecting data values, the relationships they share, and the applicable functions or operations.
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