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yakin
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Bacterius said:What have you tried? What are your thoughts on the problem, are you stuck somewhere? Could you please show a minimum of effort in your questions?
The Dijkstra algorithm is a well-known algorithm used to find the shortest path between two nodes in a graph. It works by maintaining a list of unvisited nodes, assigning a tentative distance to each node, and then iteratively updating the tentative distances until the shortest path is found.
The time complexity of the Dijkstra algorithm is O(V^2), where V is the number of vertices in the graph. This means that the algorithm will take longer to run on larger graphs with more vertices.
The Dijkstra algorithm cannot handle negative edge weights because it relies on selecting the shortest path by always choosing the smallest tentative distance. If there are negative edge weights, this may lead to incorrect shortest path calculations.
The main difference between Dijkstra algorithm and other shortest path algorithms is the way they determine the shortest path. Dijkstra's algorithm uses a greedy approach, always choosing the path with the smallest tentative distance. Other algorithms, such as Bellman-Ford or Floyd-Warshall, use different strategies to find the shortest path.
Yes, the Dijkstra algorithm can handle graphs with cycles. However, the presence of cycles may lead to incorrect shortest path calculations, so the graph must be acyclic for the algorithm to work correctly.