Article Directory
One [topic category]
- to sort
Two [question difficulty]
- Simple
Three [topic number]
- 1365. How many numbers are smaller than the current number
Four [title description]
- Given an array nums, for each element nums[i], please count the number of all numbers smaller than it in the array.
- In other words, for each nums[i] you must compute the number of valid js such that j != i and nums[j] < nums[i].
- Return the answer as an array.
Five [topic example]
-
Example 1:
- Input: nums = [8,1,2,2,3]
- Output: [4,0,1,1,3]
- explain:
- For nums[0]=8 there are four smaller numbers: (1, 2, 2 and 3).
- For nums[1]=1 there is no number smaller than it.
- For nums[2]=2 there exists a smaller number: (1).
- For nums[3]=2 there exists a smaller number: (1).
- For nums[4]=3 there are three smaller numbers: (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]
Six [topic prompt]
- 2 < = n u m s . l e n g t h < = 500 2 <= nums.length <= 500 2<=nums.length<=500
- 0 < = n u m s [ i ] < = 100 0 <= nums[i] <= 100 0<=nums[i]<=100
Seven [problem-solving ideas]
- Use the idea of counting sort to solve this problem
- First use the count array to save the number of occurrences of each number
- Then use the count array again to calculate the sum of the number less than the current number and the number of the current number
- For the i-th number, the value of count[i-1] is the number of numbers less than the i-th number
- It is necessary to pay attention to the special treatment of the number 0, otherwise a negative index subscript will appear, resulting in an error
- Finally return the result
Eight 【Time Frequency】
- Time complexity: O ( n + k ) O(n+k)O ( n+k), n n n is the length of the incoming array,kkk is the value field size of the incoming array
- Space complexity: O ( k ) O(k)O ( k ),kkk is the value field size of the incoming array
Nine [code implementation]
- Java language version
class Solution {
public int[] smallerNumbersThanCurrent(int[] nums) {
int[] count = new int[101];
int n = nums.length;
for(int i = 0; i < n;i++){
count[nums[i]]++;
}
for(int i = 1; i < 101;i++){
count[i] += count[i - 1];
}
int[] res = new int[n];
for(int i = 0;i < n;i++){
res[i] = nums[i] == 0 ? 0 : count[nums[i] - 1];
}
return res;
}
}
- C language version
int* smallerNumbersThanCurrent(int* nums, int numsSize, int* returnSize)
{
int* count = (int*)calloc(101, sizeof(int));
int n = numsSize;
for(int i = 0;i < n;i++)
{
count[nums[i]]++;
}
for(int i = 1;i < 101;i++)
{
count[i] += count[i - 1];
}
int* res = (int*)calloc(n, sizeof(int));
for(int i = 0;i < n;i++)
{
res[i] = nums[i] == 0 ? 0 : count[nums[i] - 1];
}
*returnSize = n;
return res;
}
- Python language version
class Solution:
def smallerNumbersThanCurrent(self, nums: List[int]) -> List[int]:
n = len(nums)
count = [0] * 101
for i in range(0, n):
count[nums[i]] += 1
for i in range(1, 101):
count[i] += count[i - 1]
res = [0] * n
for i in range(0, n):
res[i] = 0 if nums[i] == 0 else count[nums[i] - 1]
return res
- C++ language version
class Solution {
public:
vector<int> smallerNumbersThanCurrent(vector<int>& nums) {
vector<int> count(101, 0);
int n = nums.size();
for(int i = 0;i < n;i++){
count[nums[i]]++;
}
for(int i = 1; i < 101;i++){
count[i] += count[i - 1];
}
vector<int> res(n, 0);
for(int i = 0;i < n;i++){
res[i] = nums[i] == 0 ? 0 : count[nums[i] - 1];
}
return res;
}
};
Ten【Submission results】
-
Java language version
-
C language version
-
Python language version
-
C++ language version