What are the differences between various graph algorithms in C++?

What are the differences between Dijkstra's and A* algorithms in C++?

Dijkstra's algorithm finds the shortest path in a graph with non-negative weights, while A* uses heuristics to optimize pathfinding.

Can you explain how Bellman-Ford differs from Dijkstra's algorithm?

Bellman-Ford can handle negative weights and detects negative cycles, whereas Dijkstra's assumes all weights are non-negative.

Which algorithm is more efficient for large graphs?

For large graphs, A* is often more efficient due to its heuristic approach, but it depends on the specific graph structure.

Are there any scenarios where I should prefer Bellman-Ford over Dijkstra's?

Yes, if your graph has negative weight edges or you need to detect negative cycles, Bellman-Ford is the better choice.