How do Dijkstra's and Bellman-Ford algorithms differ?
An example of an AI chatbot conversation about comparing Dijkstra's and Bellman-Ford algorithms.
What are the main differences between Dijkstra's and Bellman-Ford algorithms?
Dijkstra's algorithm is more efficient for graphs with non-negative weights, while Bellman-Ford can handle negative weights.
Can you explain why Bellman-Ford can handle negative weights?
Sure! Bellman-Ford works by relaxing edges repeatedly, allowing it to find the shortest path even with negative weights.
Which algorithm is faster in practice?
Dijkstra's algorithm is generally faster, especially with priority queues, but it depends on the graph's structure.
Are there any scenarios where I should prefer Bellman-Ford?
Yes, if your graph has negative weight edges or if you need to detect negative cycles, Bellman-Ford is the better choice.
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