How can I optimize the performance of a priority queue?
To optimize a priority queue, consider using a binary heap or Fibonacci heap for better time complexity.
What are the time complexities for insertion and deletion in these heaps?
In a binary heap, insertion and deletion both have a time complexity of O(log n). For a Fibonacci heap, insertion is O(1) and deletion is O(log n).
Are there any specific use cases where one is preferred over the other?
Yes, Fibonacci heaps are preferred in algorithms like Dijkstra's for graphs with many edges, while binary heaps are simpler and often faster in practice.
What about memory usage? Is one more efficient than the other?
Binary heaps generally use less memory due to their simpler structure, while Fibonacci heaps can have higher overhead due to their more complex design.
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