Input Description:
There are multiple test cases, and each test case begins with an integer n, indicating the number of elements in the sequence. After n, the next line includes the n distinct integers in the sequence.
Please note:
- 1 <= n <= 1,000,000
- The value of each number is within [1, 2^32-1]
- It is also possible that the number of inversion pairs exceeds 2^32-1 but an unsigned long long variable will work fine.
I use merge sort to solve it. It pass five test cases, but in last test cases it Memory Limit Exceed. I don't know how can I solve this problem...
My code:
#include <iostream>
using namespace std;
unsigned long long _mergeSort(unsigned int arr[], unsigned int temp[], int left, int right);
unsigned long long merge(unsigned int arr[], unsigned int temp[], int left, int mid, int right);
/* This function sorts the input array and returns the
number of inversions in the array */
unsigned long long mergeSort(unsigned int arr[], int array_size)
{
unsigned int* temp = (unsigned int*)malloc(sizeof(unsigned int) * array_size);
return _mergeSort(arr, temp, 0, array_size - 1);
}
/* An auxiliary recursive function that sorts the input array and
returns the number of inversions in the array. */
unsigned long long _mergeSort(unsigned int arr[], unsigned int temp[], int left, int right)
{
int mid;
unsigned long long inv_count = 0;
if (right > left) {
/* Divide the array into two parts and call _mergeSortAndCountInv()
for each of the parts */
mid = (right + left) / 2;
/* Inversion count will be sum of inversions in left-part, right-part
and number of inversions in merging */
inv_count = _mergeSort(arr, temp, left, mid);
inv_count += _mergeSort(arr, temp, mid + 1, right);
/*Merge the two parts*/
inv_count += merge(arr, temp, left, mid + 1, right);
}
return inv_count;
}
/* This funt merges two sorted arrays and returns inversion count in
the arrays.*/
unsigned long long merge(unsigned int arr[], unsigned int temp[], int left, int mid, int right)
{
int i, j, k;
unsigned long long inv_count = 0;
i = left; /* i is index for left subarray*/
j = mid; /* j is index for right subarray*/
k = left; /* k is index for resultant merged subarray*/
while ((i <= mid - 1) && (j <= right)) {
if (arr[i] <= arr[j]) {
temp[k++] = arr[i++];
}
else {
temp[k++] = arr[j++];
/*this is tricky -- see above explanation/diagram for merge()*/
inv_count = inv_count + (mid - i);
}
}
/* Copy the remaining elements of left subarray
(if there are any) to temp*/
while (i <= mid - 1)
temp[k++] = arr[i++];
/* Copy the remaining elements of right subarray
(if there are any) to temp*/
while (j <= right)
temp[k++] = arr[j++];
/*Copy back the merged elements to original array*/
for (i = left; i <= right; i++)
arr[i] = temp[i];
return inv_count;
}
int main()
{
int N;
while(cin >> N)
{
unsigned int arr[N];
for(int i=0; i<N; i++)
cin >> arr[i];
cout << mergeSort(arr, N) << endl;
}
return 0;
}
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