示例1给定一个数组 nums ,如果 i < j 且 nums[i] > 2*nums[j] 我们就将 (i, j) 称作一个重要翻转对。
你需要返回给定数组中的重要翻转对的数量。
输入: [1,3,2,3,1] 输出: 2示例2
输入: [2,4,3,5,1] 输出: 3注意
- 给定数组的长度不会超过50000。输入数组中的所有数字都在32位整数的表示范围内。
// 我的存在问题
public int reversePairs(int[] nums) {
if (nums.length < 2 || nums == null) {
return 0;
}
int ans = process(nums, 0, nums.length - 1);
return ans;
}
public int process(int[] arr, int left, int right) {
if (left == right) {
return 0;
}
int mid = left + ((right - left) >> 1);
return
process(arr, left, mid)
+ process(arr, mid + 1, right)
+ merge(arr, left, mid, right);
}
public int merge(int[] arr, int left, int mid, int right) {
int p1 = left;
int p2 = mid + 1;
int i = 0;
int[] temp = new int[right - left + 1];
// 排序
int sum = 0;
int t = 0;
boolean flag = false;
while (p1 <= mid && p2 <= right) {
if ((long) arr[p1] > (long) arr[p2] * 2) { // 防止比较越界
sum += mid - p1 + 1;
temp[i++] = arr[p2++];
if (flag == true) {
p1 = t;
flag = false;
}
} else if (arr[p1] > arr[p2]) {
if (flag == false){
t = p1;
flag = true;
}
p1 ++;
} else {
temp[i++] = arr[p1++];
}
}
if (flag && p1 > mid) {
while (t <= mid && p2 <= right) {
temp[i++] = arr[t] <= arr[p2] ? arr[t++] : arr[p2++];
}
while (t <= mid) {
temp[i++] = arr[t++];
}
}
while (p1 <= mid) {
temp[i++] = arr[p1++];
}
while (p2 <= right) {
temp[i++] = arr[p2++];
}
// 回归给arr
for (int j = 0; j < temp.length; j++) {
arr[left + j] = temp[j];
}
return sum;
}
我的解决方法–合适
// 我的解决方法:先计数再排序
public int reversePairs(int[] nums) {
if (nums.length < 2 || nums == null) {
return 0;
}
int ans = process(nums, 0, nums.length - 1);
return ans;
}
public int process(int[] arr, int left, int right) {
if (left == right) {
return 0;
}
int mid = left + ((right - left) >> 1);
return
process(arr, left, mid)
+ process(arr, mid + 1, right)
+ merge(arr, left, mid, right);
}
public int merge(int[] arr, int left, int mid, int right) {
int p1 = left;
int p2 = mid + 1;
int[] temp = new int[right - left + 1];
// 排序
int sum = 0;
boolean flag = false;
// 先统计
while (p1 <= mid && p2 <= right) {
if ((long) arr[p1] > (long) arr[p2] * 2) {
sum += mid - p1 + 1;
p2 ++;
} else {
p1 ++;
}
}
// 排序
p1 = left;
p2 = mid + 1;
int i = 0;
while (p1 <= mid && p2 <= right) {
temp[i++] = arr[p1] <= arr[p2] ? arr[p1++] : arr[p2++];
}
while (p1 <= mid) {
temp[i++] = arr[p1++];
}
while (p2 <= right) {
temp[i++] = arr[p2++];
}
// 回归给arr
for (int j = 0; j < temp.length; j++) {
arr[left + j] = temp[j];
}
return sum;
}
官方解答–效率较低
// 以下是官方答案
public int reversePairs2(int[] nums) {
if (nums.length == 0) {
return 0;
}
return reversePairsRecursive(nums, 0, nums.length - 1);
}
public int reversePairsRecursive(int[] nums, int left, int right) {
if (left == right) {
return 0;
} else {
int mid = (left + right) / 2;
int n1 = reversePairsRecursive(nums, left, mid);
int n2 = reversePairsRecursive(nums, mid + 1, right);
int ret = n1 + n2;
// 首先统计下标对的数量
int i = left;
int j = mid + 1;
while (i <= mid) {
while (j <= right && (long) nums[i] > 2 * (long) nums[j]) {
j++;
}
ret += j - mid - 1;
i++;
}
// 随后合并两个排序数组
int[] sorted = new int[right - left + 1];
int p1 = left, p2 = mid + 1;
int p = 0;
while (p1 <= mid || p2 <= right) {
if (p1 > mid) {
sorted[p++] = nums[p2++];
} else if (p2 > right) {
sorted[p++] = nums[p1++];
} else {
if (nums[p1] < nums[p2]) {
sorted[p++] = nums[p1++];
} else {
sorted[p++] = nums[p2++];
}
}
}
for (int k = 0; k < sorted.length; k++) {
nums[left + k] = sorted[k];
}
return ret;
}
}



