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Comprehensive Guide to Graphs in Data Structures and Algorithms

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This comprehensive guide provides a thorough understanding of graphs in Data Structures and Algorithms. The notes cover all essential topics related to Graphs, including their definition, types, representation, and traversal algorithms. The guide also delves into advanced graph algorithms such as Dijkstra's shortest path algorithm, and Prim's and Kruskal's algorithms for Minimum Spanning Tree. The notes are neatly organized and easy to understand, making them a valuable resource for students, researchers, and professionals in the field of Computer Science. With this guide, you'll be able to grasp the fundamental concepts of graphs and enhance your problem-solving skills. Key Features: Comprehensive coverage of all essential graph concepts and algorithms Neatly organized and easy to understand notes Suitable for students, researchers, and professionals in Computer Science Includes advanced graph algorithms such as Dijkstra's, Prim's, and Kruskal's algorithms Enhance your problem-solving skills with practical examples and exercises If you're looking to improve your understanding of graphs in Data Structures and Algorithms, this guide is an excellent resource for you. Buy now and start mastering Graphs!

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.




Graphs




BE=SIDES


(queue) (Stack)(Backtracking)



A B

F
F

D
c

Breadth first search Depth first search


stack
Print:-
HEY
AKIF queue
E
ACFDBE
B-
Print:- ABC FED
D Print while push
F
Pop one and enquene all
when cornered, do
c
its adjacent vertices
backtracing.




Kruskal's Algorithm & Prims:_



→ Shouldn't consider edge which would make


graph a cycle

5
A B 4
7
F
6 2
F 3
2
8

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Uploaded on
May 5, 2023
Number of pages
1
Written in
2022/2023
Type
Class notes
Professor(s)
Jp pavan
Contains
Graph

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