陣列的反轉表示;需要進行多少次變更才能將陣列轉換為其排序形式。當陣列已經排序時,需要 0 次反轉,而在其他情況下,如果陣列反轉,反轉次數將達到最大。
為了解決這個問題,我們將遵循歸併排序方法降低時間複雜度,採用分治演算法。
A sequence of numbers. (1, 5, 6, 4, 20).
將數字升序排列所需的反轉次數。
Here the number of inversions are 2. First inversion: (1, 5, 4, 6, 20) Second inversion: (1, 4, 5, 6, 20)
輸入 - 兩個數組,誰已經合併,左,右和中間索引。
輸出-依排序順序合併的陣列。
Begin i := left, j := mid, k := right count := 0 while i <= mid -1 and j <= right, do if array[i] <= array[j], then tempArray[k] := array[i] increase i and k by 1 else tempArray[k] := array[j] increase j and k by 1 count := count + (mid - i) done while left part of the array has some extra element, do tempArray[k] := array[i] increase i and k by 1 done while right part of the array has some extra element, do tempArray[k] := array[j] increase j and k by 1 done return count End
輸入 - 給定陣列和暫存數組,數組的左右索引。
輸出 - 排序後的逆序對數量。
Begin count := 0 if right > left, then mid := (right + left)/2 count := mergeSort(array, tempArray, left, mid) count := count + mergeSort(array, tempArray, mid+1, right) count := count + merge(array, tempArray, left, mid+1, right) return count End
即時示範
#include <iostream> using namespace std; int merge(int arr[], int temp[], int left, int mid, int right) { int i, j, k; int count = 0; i = left; //i to locate first array location j = mid; //i to locate second array location k = left; //i to locate merged array location while ((i <= mid - 1) && (j <= right)) { if (arr[i] <= arr[j]){ //when left item is less than right item temp[k++] = arr[i++]; } else { temp[k++] = arr[j++]; count += (mid - i); //find how many convertion is performed } } while (i <= mid - 1) //if first list has remaining item, add them in the list temp[k++] = arr[i++]; while (j <= right) //if second list has remaining item, add them in the list temp[k++] = arr[j++]; for (i=left; i <= right; i++) arr[i] = temp[i]; //store temp Array to main array return count; } int mergeSort(int arr[], int temp[], int left, int right){ int mid, count = 0; if (right > left) { mid = (right + left)/2; //find mid index of the array count = mergeSort(arr, temp, left, mid); //merge sort left sub array count += mergeSort(arr, temp, mid+1, right); //merge sort right sub array count += merge(arr, temp, left, mid+1, right); //merge two sub arrays } return count; } int arrInversion(int arr[], int n) { int temp[n]; return mergeSort(arr, temp, 0, n - 1); } int main() { int arr[] = {1, 5, 6, 4, 20}; int n = 5; cout << "Number of inversions are "<< arrInversion(arr, n); }
Number of inversions are 2
以上是使用歸併排序演算法編寫的C/C++程序,用於計算數組中的逆序數的詳細內容。更多資訊請關注PHP中文網其他相關文章!