Found the following inteview q on the web:
You have an array of
0s and 1s and you want to output all the intervals (i, j) where the
number of 0s and numbers of 1s are equal. Examplepos = 0 1 2 3 4 5 6 7 8 0 1 0 0 1 1 1 1 0One interval is (0, 1) because there the number
of 0 and 1 are equal. There are many other intervals, find all of them
in linear time.
I think there is no linear time algo, as there may be n^2 such intervals.
Am I right? How can I prove that there are n^2 such ?
This is the fastest way I can think of to do this, and it is linear to the number of intervals there are.
Let L be your original list of numbers and A be a hash of empty arrays where initially A[0] = [0]
Now A is essentially an x y graph of the sum of the sequence (x is the index of the list, y is the sum). Every time there are two x values x1 and x2 to an y value, you have an interval (x1, x2] where the number of 0s and 1s is equal.
There are m(m-1)/2 (arithmetic sum from 1 to m – 1) intervals where the sum is 0 in every array M in A where m = M.length
Using your example to calculate A by hand we use this chart
(I’ve added a # to represent the start of the list with an key of -1. Also removed all the numbers that are not 0 or 1 since they’re just distractions) A will look like this:
For any M = [a1, a2, a3, …], (ai + 1, aj) where j > i will be an interval with the same number of 0s as 1s. For example, in [-1]->[0, 2, 4, 6], the intervals are (1, 2), (1, 4), (1, 6), (3, 4), (3, 6), (5, 6).
Building the array A is O(n), but printing these intervals from A must be done in linear time to the number of intervals. In fact, that could be your proof that it is not quite possible to do this in linear time to n because it’s possible to have more intervals than n and you need at least the number of interval iterations to print them all.
Unless of course you consider building A is enough to find all the intervals (since it’s obvious from A what the intervals are), then it is linear to n 😛