Given the array nums
, for each nums[i]
find out how many numbers in the array are smaller than it. That is, for each nums[i]
you have to count the number of valid j's
such that j != i
and nums[j] < nums[i]
.
Return the answer in an array.
Example 1:
Input: nums = [8,1,2,2,3] Output: [4,0,1,1,3] Explanation: For nums[0]=8 there exist four smaller numbers than it (1, 2, 2 and 3). For nums[1]=1 does not exist any smaller number than it. For nums[2]=2 there exist one smaller number than it (1). For nums[3]=2 there exist one smaller number than it (1). For nums[4]=3 there exist three smaller numbers than it (1, 2 and 2).
Example 2:
Input: nums = [6,5,4,8] Output: [2,1,0,3]
Example 3:
Input: nums = [7,7,7,7] Output: [0,0,0,0]
Constraints:
2 <= nums.length <= 500
0 <= nums[i] <= 100
題目大意:給你一個數組nums,對於其中每個元素nums[i],請你統計數組中比它小的所有數字的數目.也就是說,對於每個nums[i]你必須計算出有效的j的數量,其中j滿足j != i 且 nums[j] < nums[i]. 以數組形式返回答案.
思路一:暴力法,對於每個nums[i], 統計數組中所有小於nums[i]的個數,時間復雜度$O(n^2)$.
C++代碼:
1 class Solution { 2 public: 3 vector<int> smallerNumbersThanCurrent(vector<int>& nums) { 4 int len = nums.size(); 5 vector<int> cnt(len, 0); 6 for (int index = 0; index < len; ++index) { 7 for (int i = 0; i < len; ++i) { 8 if (i != index && nums[i] < nums[index]) 9 cnt[index]++; 10 } 11 } 12 return cnt; 13 } 14 };
python3代碼:
思路二:由於數組中的數屬於[0,100], 可以利用計數排序的方式,先將數組排好序。
C++代碼:時間復雜度$O(n)$
class Solution { public: vector<int> smallerNumbersThanCurrent(vector<int>& nums) { vector<int> cnt(101, 0); for (int i = 0; i < nums.size(); ++i) {//計數, cnt[i]此時統計的是數組中數i的個數 cnt[nums[i]]++; } for (int i = 1; i < 101; ++i) {//cnt[i]統計的是數組中小於等於數i的個數 cnt[i] += cnt[i - 1]; } vector<int> ans(nums.size(), 0); for (int i = 0; i < nums.size(); ++i) { //如果nums[i] == 0, 說明數組中小於0的個數為0,否則小於nums[i]的個數為cnt[nums[i] - 1]; ans[i] = (nums[i] == 0 ? 0 : cnt[nums[i] - 1]); } return ans; } };
python3代碼:
時間復雜度O(nlogn)
class Solution: def smallerNumbersThanCurrent(self, nums: List[int]) -> List[int]: indics = {} for index, num in enumerate(sorted(nums)): indics.setdefault(num, index) return [indics[num] for num in nums]
時間復雜度O(n):
class Solution: def smallerNumbersThanCurrent(self, nums: List[int]) -> List[int]: count = collections.Counter(nums) for i in range(1,101): count[i] += count[i-1] return [count[x-1] for x in nums]