I had previously posted a question, Given an array, find out the next smaller element for each element now, i was trying to know , if there is any way to find out \"given an ar
Other than using BST, we can also solve this problem optimally by doing some modification in merge sort algorithm (in O(n*logn) time).
If you observe this problem more carefully, you can say that in the problem we need to count the number of inversions required for each element to make the array sorted in ascending order, right?
So this problem can be solved using Divide and Conquer paradigm. Here you need to maintain an auxiliary array for storing the count of inversions required (i.e. elements smaller than it on the right side of it).
Below is a python program:
def mergeList(arr, pos, res, start, mid, end):
temp = [0]*len(arr)
for i in range(start, end+1):
temp[i] = pos[i]
cur = start
leftcur = start
rightcur = mid + 1
while leftcur <= mid and rightcur <= end:
if arr[temp[leftcur]] <= arr[temp[rightcur]]:
pos[cur] = temp[leftcur]
res[pos[cur]] += rightcur - mid - 1
leftcur += 1
cur += 1
else:
pos[cur] = temp[rightcur]
cur += 1
rightcur += 1
while leftcur <= mid:
pos[cur] = temp[leftcur]
res[pos[cur]] += end - mid
cur += 1
leftcur += 1
while rightcur <= end:
pos[cur] = temp[rightcur]
cur += 1
rightcur += 1
def mergeSort(arr, pos, res, start, end):
if start < end:
mid = (start + end)/2
mergeSort(arr, pos, res, start, mid)
mergeSort(arr, pos, res, mid+1, end)
mergeList(arr, pos, res, start, mid, end)
def printResult(arr, res):
print
for i in range(0, len(arr)):
print arr[i], '->', res[i]
if __name__ == '__main__':
inp = input('enter elements separated by ,\n')
inp = list(inp)
res = [0]*len(inp)
pos = [ind for ind, v in enumerate(inp)]
mergeSort(inp, pos, res, 0, len(inp)-1)
printResult(inp, res)
Time : O(n*logn)
Space: O(n)