Bellman-Ford Algorithm
The Bellman-Ford algorithm is a powerful tool for finding the shortest paths in weighted graphs that can handle negative weight edges. A weighted graph can be represented by circles representing nodes and edges represented by lines between or connecting the nodes. Unlike Dijkstra's algorithm, Bellman-Ford accommodates graphs with negative weights by iterating N-1 times, where N is the number of vertices. Why can't the graph contain negative weight cycles? How does the algorithm compare with Dijkstra's in terms of speed and versatility? When might the slower speed of Bellman-Ford be a worthwhile trade-off for its broader applicability?
Source: Perfectly Optimized, https://www.youtube.com/watch?v=l4-L1fMKaTY
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