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  • [LeetCode] 1365. How Many Numbers Are Smaller Than the Current Number

    Description

    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

    Analyse

    输入一个数组nums,返回一个数组result,数组中的result[i]代表nums中比nums[i]小的元素个数

    方法一

    先对nums进行排序,排序后的下标就是比nums[i]小的元素个数,存到map里,但如果数组有重复的元素就会出错,所以禁止对map中的数据更新

    vector<int> smallerNumbersThanCurrent(vector<int>& nums) {
        vector<int> result(nums); // 备份nums
    
        sort(nums.begin(), nums.end());
    
        map<int, int> rankMap;
    
        int len = nums.size();
        for (int i = 0; i < len; i++) {
            if (rankMap.find(nums[i]) == rankMap.end()) { // 仅当首次赋值时允许
                rankMap[nums[i]] = i;
            }
        }
    
        for (int j = 0; j < result.size(); j++) {
            result[j] = rankMap[result[j]];
        }
    
        return result;
    }
    

    方法二

    LeetCode上还有以一种做法,考虑到0 <= nums[i] <= 100,可以用一个长度为101的数组存储 0-100出现的次数,比nums[i]小的元素的出现次数就是 nums[0] + nums[1] + ...... + nums[i-1]

    vector<int> smallerNumbersThanCurrent(vector<int>& nums) {
        vector<int> bitmap(101, 0); // 记录0-100出现次数
        vector<int> result(nums.size(), 0);
    
        for(int i : nums) {
            ++bitmap[i];
        }
    
        for(int i = 1; i < 101; i++) { // bitmap[i]现在为比i小的元素出现次数
            bitmap[i] += bitmap[i-1];
        }
    
        for(int i = 0; i < nums.size(); ++i) {
            result[i] = (nums[i] == 0) ? 0 : bitmap[nums[i] - 1];
        }
    
        return result;
    }
    
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  • 原文地址:https://www.cnblogs.com/arcsinw/p/12975775.html
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