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🚀 Graph Tutorial 2: Representation of Graph in Java | Which one is Best ? Data Structures | Graph

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Автор: InterviewWithBunny

Загружено: 2025-01-03

Просмотров: 409

Описание: #interviewWithBunny #graph #graphtutorial

Most of the video tutorials cover graph representations, but do you know which one form of representation is best for your specific needs? or how to choose between different graph representations to optimise your solutions during your coding interview?

In this video, we dive deep into graph representations in Java, covering all the major forms: Adjacency List, Adjacency Matrix, and Edge List. Understanding graph representation is crucial for solving various problems in data structures and algorithms, especially in competitive programming and coding interviews.

We start by explaining each representation with clear examples, highlighting their advantages and disadvantages. You’ll learn:

►What is an adjacency list, adjacency matrix, and edge list?
►When to use each representation based on the type of graph (sparse vs dense)
►Which representation works best for different algorithms like BFS, DFS, and Dijkstra’s
►Practical tips to choose the right representation during coding interviews to solve problems efficiently.

By the end of the video, you’ll know exactly how to implement these graph representations in Java and select the optimal one for your problem-solving needs.

🔔 Don’t forget to like, subscribe, and hit the bell icon to stay updated with more data structure tutorials and Java coding interview prep content!

►►Playlist:
Graph Tutorial 1: Introduction to Graph | Types | Terminologies:    • 🚀 Graph Tutorial 1: Introduction to Graph ...  
Graph Tutorial 2: Representation of Graph in Java | Which one is Best :    • 🚀 Graph Tutorial 2: Representation of Grap...  
Graph Tutorial 3: Graph Simplified Implementation in Java:    • 🚀 Graph Tutorial 3: Graph Implementation S...  
Graph Tutorial 4 : Breadth First Search (BFS) | Traversal Technique:    • 🚀 Graph Tutorial 4: Breadth First Search (...  
Graph Tutorial 5 : Depth First Search (DFS) | Traversal Technique:    • 🚀 Graph Tutorial 5 : Depth First Search (D...  
Graph Tutorial 6: BFS & DFS Traversal For Disconnected Graph:    • 🚀 Graph Tutorial 6: BFS & DFS Traversal Fo...  
Graph Tutorial 7: Number of Provinces | Connected Components:    • 🚀 Graph Tutorial 7: Number of Provinces | ...  
Graph Tutorial 8: Number of Islands | Count Connected Components in Matrix:    • 🚀 Graph Tutorial 8: Number of Islands | Co...  
Graph Tutorial 9: Rotten Oranges Leetcode:    • 🚀 Graph Tutorial 9: Rotten Oranges Leetcod...  
Graph Tutorial 10: Detect a Cycle in an Undirected Graph using BFS:    • 🚀 Graph Tutorial 10: Detect a Cycle in an ...  
Graph tutorial 11: Detect a Cycle in an Undirected Graph using DFS:    • 🚀 Graph tutorial 11: Detect a Cycle in an ...  
Graph Tutorial 12 : Detect Cycle in a Directed Graph using DFS :    • 🚀 Graph Tutorial 12 : Detect Cycle in a Di...  
Graph Tutorial 13: What is Topological Sorting:    • 🚀 Graph Tutorial 13: What is Topological S...  
Graph Tutorial 14: Topological Sort Algorithm using DFS Traversal:    • 🚀 Graph Tutorial 14: Topological Sort Algo...  

► ► Social Connect:
LinkedIn:   / anindya-sankar-dasgupta-39a315ba  
Facebook:   / technicalinterview03  
Instagram:   / anindya_bunny  

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