Dijkstra’s Algorithm Explained: Single Source Shortest Path Using Greedy Approach |DAA Tutorial #dsa

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Welcome to the Design and Analysis of Algorithms (DAA) lecture series!

In this video, we break down Dijkstra’s Algorithm, a widely used Greedy Algorithm for solving the Single Source Shortest Path problem in weighted graphs.

Key Highlights:
What is Dijkstra's Algorithm?
A step-by-step approach to find the shortest path from a starting node to all other nodes in a graph.
Core Idea of the Algorithm:
Always choose the node with the smallest distance that hasn’t been visited yet.
Steps of Dijkstra's Algorithm:
Initialize distances for all nodes.
Update the shortest distances using the greedy approach.
Repeat until all nodes are processed.
What You'll Learn:
How Dijkstra’s Algorithm works using an example.
The importance of priority queues (Min-Heap) in optimizing the algorithm.
Real-world applications of Dijkstra’s Algorithm in networking and route optimization.
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• 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!