I have the below code, I wanted to know what is the time complexity of this code when I am using PriorityQueue.
I have a listOfNumbers of size N
Queue<Integer> q = new PriorityQueue<>();
q.addAll(listOfNumbers);
while(q.size()>1) {
q.add(q.poll()+q.poll()); // add sum of 2 least elements back to Queue
}
As per this post: Time Complexity of Java PriorityQueue (heap) insertion of n elements?
O(log n) time for the enqueing and dequeing methods (offer, poll, remove() and add)
Now how to calculate the time when I am adding the element back to Queue again.
The running time of your program is log(n) + log(n-1) +... + log(1).
This is log(n.) (by repeated application of the log rule log(a) + log(b) = log(ab)).
log(n!) is Theta(n log n) see Is log(n?) = Θ(n·log(n))?
So your program runs in Theta(n log n) time.
On q.add(q.poll()+q.poll());
the number of element in queue is always O(N). So, the enqueue still works in O(log(N)).
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