I have an array lets say a = { 1,4,5,6,2,23,4,2};
now I have to find median of array position from 2 to 6 (odd total terms), so what I have done, I have taken a[1] to a[5] in arr[0] to arr[4] then I have sorted it and write the arr[2] as the median .
But here every time I put values from one array to another, so that the values of my initial array remains the same. Secondly, I have sorted, so this procedure is taking pretty much **time**.
So I want to know if there is any way I can do this differently to reduce my computation time.
Any websites, material to understand, what, and how to do?
If you are doing multiple queries on the same array then you could use a Segment Tree. They are generally used to do range minimum/maximum and range sum queries but you can change it to do range median.
A segment tree for a set with n intervals uses O(n log n) storage and can be built in O(n log n) time. A range query can be done in O(log n).
Example of median in range segment tree:
You build the segment tree from the bottom up (update from the top down):
Indices covered by node:
A query for median for range indices of 4-6 would go down this path of values:
Doing a search for the median, you know the number of total elements in the query (3) and the median in that range would be the 2nd element (index 5). So you are essentially doing a search for the first node which contains that index which is node with values [1,2] (indices 0,1).
Doing a search of the median of the range 3-6 is a bit more complicated because you have to search for two indices (4,5) which happen to lie in the same node.
Segment tree
Range minimum query on Segment Tree