What is the time complexity of common graph algorithms?
An example of an AI chatbot conversation about time complexity in graph algorithms.
What is the time complexity of common graph algorithms?
The time complexity varies by algorithm. For example, Dijkstra's algorithm is O(V^2) with a simple array, but O(E + V log V) with a priority queue.
What about Depth-First Search (DFS) and Breadth-First Search (BFS)?
Both DFS and BFS have a time complexity of O(V + E), where V is the number of vertices and E is the number of edges.
Are there any graph algorithms with better time complexity?
Yes, some algorithms like the A* search can be more efficient in specific scenarios, especially with heuristics.
Can you explain the difference between time complexity and space complexity?
Time complexity measures the time an algorithm takes to complete, while space complexity measures the memory it uses.
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