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Dijkstras algorithm: analysis Video Lecture | Algorithms - Computer Science Engineering (CSE)
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FAQs on Dijkstras algorithm: analysis Video Lecture - Algorithms - Computer Science Engineering (CSE)
| 1. What is Dijkstra's algorithm used for? |  |
Ans. Dijkstra's algorithm is used to find the shortest path between nodes in a graph, specifically in weighted graphs where each edge has a numerical weight.
| 2. How does Dijkstra's algorithm work? | |
Ans. Dijkstra's algorithm works by starting at a designated node, then iteratively visiting neighboring nodes to determine the shortest path to reach each node in the graph.
| 3. What is the time complexity of Dijkstra's algorithm? | |
Ans. The time complexity of Dijkstra's algorithm is O(V^2) for an implementation using arrays and O(E + VlogV) for an implementation using a priority queue, where V is the number of vertices and E is the number of edges in the graph.
| 4. Can Dijkstra's algorithm handle negative edge weights? | |
Ans. No, Dijkstra's algorithm cannot handle negative edge weights as it assumes that all edge weights in the graph are non-negative.
| 5. How does Dijkstra's algorithm differ from other shortest path algorithms like Bellman-Ford? | |
Ans. Dijkstra's algorithm is more efficient than Bellman-Ford for finding the shortest path in graphs with non-negative edge weights, as it does not need to consider all possible paths like Bellman-Ford does.
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Nov 23, 2024 Last updated |
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