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Dijkstras Shortest Path Algorithm Explained | With Example | Graph Theory

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Dijkstras Shortest Path Algorithm Explained | With Example | Graph Theory

I explain Dijkstra's Shortest Path Algorithm with the help of an example. This algorithm can be used to calculate the shortest distance between one node and every other node in a weighted graph. If you want to learn more about algorithms, check out my Basic Algorithms in Python Playlist and subscribe to this channel.

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Dijkstra’s Algorithm Explanation with example

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The first algorithm is Dijkstra’s algorithm, designed to find the shortest path between nodes in a weighted graph—such as those representing road networks. Developed by computer scientist Edsger W. Dijkstra in 1956 and published in 1959, it efficiently calculates the minimum distance from a starting node to all other nodes in the graph. The second is the A* (pronounced “A-star”) algorithm, widely used in computer science for graph traversal and pathfinding. A* is known for its completeness, opti

The first algorithm is Dijkstra’s algorithm, designed to find the shortest path between nodes in a weighted graph—such as those representing road networks. Developed by computer scientist Edsger W. Dijkstra in 1956 and published in 1959, it efficiently calculates the minimum distance from a starting node to all other nodes in the graph. The second is the A* (pronounced “A-star”) algorithm, widely used in computer science for graph traversal and pathfinding. A* is known for its completeness, opti

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