Find median value from a growing set

Question

I came across an interesting algorithm question in an interview. I gave my answer but not sure whether there is any better idea. So I welcome everyone to write something abo

Answer 1

Your complexity analysis is confusing. Let's say that n items total are added; we want to output the stream of n medians (where the ith in the stream is the median of the first i items) efficiently.

I believe this can be done in O(n*lg n) time using two priority queues (e.g. binary or fibonacci heap); one queue for the items below the current median (so the largest element is at the top), and the other for items above it (in this heap, the smallest is at the bottom). Note that in fibonacci (and other) heaps, insertion is O(1) amortized; it's only popping an element that's O(lg n).

This would be called an "online median selection" algorithm, although Wikipedia only talks about online min/max selection. Here's an approximate algorithm, and a lower bound on deterministic and approximate online median selection (a lower bound means no faster algorithm is possible!)

If there are a small number of possible values compared to n, you can probably break the comparison-based lower bound just like you can for sorting.