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Introduction to Graphs Data Structure
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Graphs are a non-linear data structure that consists of a finite set of vertices (nodes) and a set of edges connecting them.
In this video, I have introduced the basics, applications, properties and the terminology related to graphs.
00:00 Introduction
00:23 Data Structure
01:20 Graphs
02:34 Applications
06:30 Graph properties
07:05 Connected / Disconnected graph
08:33 Directed / Undirected graph
09:58 Weighted graph
12:21 Cyclic / Acyclic graph
14:05 Dense / Sparse graph
15:03 Simple / Complete graph
16:38 Strongly connected graph
17:41 Terminology (Adjacency, Degree, Path, Cycle, Walk)
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I live in New Delhi and love explaining programming concepts. I have done M.Tech(BITS Pilani) + B.Tech(PEC, Chandigarh) in Computer Science and am currently working as a software engineer in a MNC.
If you like my content, please like, share my videos and subscribe to the channel.
-------------------------------------------------------------
For in-depth Graph theory and implementation details, please refer to the below videos:
Graph representation:
Traversal techniques:
Shortest Path algorithms:
Minimum Spanning Tree:
Articulation points / Cut vertices:
Maximum Flow Problem:
#DataStructure,#Graphs,#FitCoder,#Algorithm,#competitiveprogramming
In this video, I have introduced the basics, applications, properties and the terminology related to graphs.
00:00 Introduction
00:23 Data Structure
01:20 Graphs
02:34 Applications
06:30 Graph properties
07:05 Connected / Disconnected graph
08:33 Directed / Undirected graph
09:58 Weighted graph
12:21 Cyclic / Acyclic graph
14:05 Dense / Sparse graph
15:03 Simple / Complete graph
16:38 Strongly connected graph
17:41 Terminology (Adjacency, Degree, Path, Cycle, Walk)
-------------------------------------------------------------
I live in New Delhi and love explaining programming concepts. I have done M.Tech(BITS Pilani) + B.Tech(PEC, Chandigarh) in Computer Science and am currently working as a software engineer in a MNC.
If you like my content, please like, share my videos and subscribe to the channel.
-------------------------------------------------------------
For in-depth Graph theory and implementation details, please refer to the below videos:
Graph representation:
Traversal techniques:
Shortest Path algorithms:
Minimum Spanning Tree:
Articulation points / Cut vertices:
Maximum Flow Problem:
#DataStructure,#Graphs,#FitCoder,#Algorithm,#competitiveprogramming
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