What are the limitations of Prim's algorithm?
Prim's algorithm is efficient for dense graphs but can struggle with sparse graphs and large datasets.
Can it handle negative weight edges?
No, Prim's algorithm does not work correctly with negative weight edges; it assumes all weights are non-negative.
How does it compare to Kruskal's algorithm?
Prim's algorithm is better for dense graphs, while Kruskal's is more efficient for sparse graphs.
Are there any scenarios where Prim's algorithm is preferred?
Yes, it's preferred in scenarios where the graph is dense and you need a minimum spanning tree quickly.
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