What are the differences between Dijkstra's Algorithm and Bellman-Ford?
An example of an AI chatbot conversation about Dijkstra's Algorithm and Bellman-Ford comparison.
What are the differences between Dijkstra's Algorithm and Bellman-Ford?
Dijkstra's Algorithm finds the shortest path in a graph with non-negative weights, while Bellman-Ford can handle negative weights.
Can you explain how each algorithm works?
Sure! Dijkstra's Algorithm uses a priority queue to explore the nearest vertex, while Bellman-Ford relaxes edges repeatedly to find the shortest paths.
Which one is more efficient?
Dijkstra's is generally faster with a time complexity of O(V log V), while Bellman-Ford has O(VE), making it slower for large graphs.
Are there any scenarios where Bellman-Ford is preferred?
Yes, Bellman-Ford is preferred when dealing with graphs that have negative weight edges, as Dijkstra's cannot handle them.
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