Shortest Path Using Dijkstra's Algorithm
Finding the shortest path in a graph is a foundational problem in computer science and operations research. It is crucial in network routing, geographical mapping, artificial intelligence, and logistics. One of the most well-known and efficient algorithms for finding the shortest path from a source node to all other nodes in a graph with non-negative edge weights is Dijkstra’s Algorithm.
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Bellman-Ford Algorithm for Shortest Path
The Bellman-Ford algorithm is a fundamental single-source shortest path algorithm used in graph theory. Unlike Dijkstra’s algorithm, Bellman-Ford can handle graphs with negative weight edges, making it versatile for a broader class of problems. It was first proposed by Richard Bellman and Lester Ford in 1958.
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