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BFS vs DFS: Understanding Graph Traversal | DSA & DAA Tutorial #datastructuresandalgorithms #dsa

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Welcome to the Design and Analysis of Algorithms (DAA) lecture series!
In this video, we explore two fundamental graph and Graph traversal techniques:
Breadth-First Search (BFS): Traverses level by level, exploring neighbors first.
Depth-First Search (DFS): Explores as far as possible along each branch before backtracking.
You’ll learn:
The difference between BFS and DFS.
How BFS uses a queue for level-order traversal.
How DFS uses a stack or recursion for depth-first traversal.
Step-by-step examples of both methods on graphs and trees.
Applications of BFS and DFS in real-world scenarios.
This tutorial is essential for students, developers, and anyone looking to master fundamental algorithms in data structures.
🔔 Subscribe to our channel for more algorithm tutorials and coding tips!
• Graph Data Structure
• Tree Data Structure
• Greedy Algorithms
👨🏫 Instructor: Sagar Choudhary
Assistant Professor, Department of Computer Science and Engineering
💬 Have questions? Drop them in the comments below for personalized assistance!
In this video, we explore two fundamental graph and Graph traversal techniques:
Breadth-First Search (BFS): Traverses level by level, exploring neighbors first.
Depth-First Search (DFS): Explores as far as possible along each branch before backtracking.
You’ll learn:
The difference between BFS and DFS.
How BFS uses a queue for level-order traversal.
How DFS uses a stack or recursion for depth-first traversal.
Step-by-step examples of both methods on graphs and trees.
Applications of BFS and DFS in real-world scenarios.
This tutorial is essential for students, developers, and anyone looking to master fundamental algorithms in data structures.
🔔 Subscribe to our channel for more algorithm tutorials and coding tips!
• Graph Data Structure
• Tree Data Structure
• Greedy Algorithms
👨🏫 Instructor: Sagar Choudhary
Assistant Professor, Department of Computer Science and Engineering
💬 Have questions? Drop them in the comments below for personalized assistance!