LeetCode/solutions/315. Count of Smaller Numbers After Self.md
2020-03-31 18:14:55 +08:00

8.7 KiB
Raw Blame History

315. Count of Smaller Numbers After Self

思路

给定一个数组,计算每个数字右边所有小于这个数字的个数。

思路一、BST

我们从后往前遍历数组如果某个数字的右边所有数字都是有序的那么我们就可以使用二分计算该数字右边所有小于这个数字的个数但是如何维护有序呢如果使用插入排序那每次维护有序数组的时间复杂度为O(n)所以总的复杂度为O(n^2),这和暴力法是一样的。

除了有序数组之外二叉搜索树也可以进行二分。而每次向二叉树里插入元素的复杂度平均为O(logn)所以总的时间复杂度平均就为O(nlogn)。另外,每个节点需要存放以这个节点为根的树有多少个节点。

时间复杂度平均为O(nlogn)空间复杂度为O(n)。注意BST可能会退化成链表这样时间复杂度就为O(n^2)了。

思路二、归并排序

如果某个元素nums[i]大于其右边的某个元素nums[j]j > i那么这元素<i, j>就构成了一个逆序对,所以我们只需要求出以nums[i]为第一个元素的逆序对个数。

求逆序对最经典的方法就是分治,即归并排序。所以这题我们也可以用归并排序,只需要新增一行代码:在进行merge时,记录有多少个以nums[i]开头的逆序对。

时间复杂度为O(nlogn)空间复杂度为O(n)。

思路三、线段树/树状数组

此题还可以用线段树/树状数组做,我们知道线段树和树状数组可以求前缀和,而这题可以转换成求前缀和。具体转换过程如下:

  1. 我们先遍历一遍数组,确定数组中元素的最小值MINMAX,然后想象有一个大小为MAX - MIN的全0数组arr,在这个数组上构建线段树/树状数组;
  2. 然后从后往前遍历数组numsarr[nums[i]]++,更新线段树/树状数组,这样arr在区间(nums[i], MAX]的元素和即为nums[i]右侧它小的元素个数。

时间复杂度O(nlogN)空间复杂度O(N),其中N = MAX - MIN

C++

思路一

struct BstNode{
    int val, node_num; // node_num记录这棵树有多少节点
    BstNode *left, *right;
    BstNode(int x): val(x), node_num(1), left(NULL), right(NULL){}
};

class Solution {
private:
    void BST_insert(BstNode *root, BstNode *node){
        root -> node_num += 1;
        if(node -> val >= root -> val){ // 插入到右子树
            if(root -> right) BST_insert(root -> right, node);
            else root -> right = node;
        }
        else{ // 插入到左子树
            if(root -> left) BST_insert(root -> left, node);
            else root -> left = node;
        }
    }
    
    int count(BstNode *root, int target){
        if(!root) return 0;
        
        if(root -> val < target) 
            return 1 + (root -> left == NULL ? 0 : root -> left -> node_num) \
            + count(root -> right, target);

        else return count(root -> left, target);
    }
   
public:
    vector<int> countSmaller(vector<int>& nums) {
        vector<int>res(nums.size(), 0);
        if(nums.empty()) return res;
        BstNode *root = new BstNode(nums.back());
        for(int i = nums.size() - 2; i >= 0; i--){
            res[i] = count(root, nums[i]);
            BstNode *node = new BstNode(nums[i]);
            BST_insert(root, node);
        }
        return res;
    }
};

思路二

class Solution {
private:
    vector<int>res;
    void merge_sort(vector<pair<int, int>>&nums_with_idx, int l, int r){
        if(l >= r) return;
        int mid = (l + r) / 2;
        merge_sort(nums_with_idx, l, mid);
        merge_sort(nums_with_idx, mid+1, r);
        merge(nums_with_idx, l, mid, r);
    }
    
    void merge(vector<pair<int, int>>&nums_with_idx, int l, int mid, int r){
        vector<pair<int, int>>merged;
        int i = l, j = mid + 1;
        while(i <= mid && j <= r){
            if(nums_with_idx[i].first <= nums_with_idx[j].first){ 
                // 与普通归并排序相比新增的一步, 即记录逆序数:
                res[nums_with_idx[i].second] += j - mid - 1; // nums[i]大于nums[mid+1,...,j-1]
                merged.push_back(nums_with_idx[i++]);
            }
            else merged.push_back(nums_with_idx[j++]);
        }
        while(i <= mid){
            res[nums_with_idx[i].second] += j - mid - 1;
            merged.push_back(nums_with_idx[i++]);
        }
        //while(j <= r) merged.push_back(nums_with_idx[j++]);
        for(int k = 0; k < merged.size(); k++) nums_with_idx[k+l] = merged[k];
    }
    
public:
    vector<int> countSmaller(vector<int>& nums) {
        vector<pair<int, int>>nums_with_idx;
        res = vector<int>(nums.size(), 0);
        for(int i = 0; i < nums.size(); i++) 
            nums_with_idx.push_back({nums[i], i});
        merge_sort(nums_with_idx, 0, nums.size() - 1);
        return res;
    }
};

思路三、树状数组

来源

class Solution {
public:
    int* tree, n;
    int lowbit(int x){
        return x&(-x);
    }
    void update(int pos, int delta){
        while (pos <= n){
            tree[pos] += delta;
            pos += lowbit(pos);
        }
    }
    int getSum(int pos){
        int ret = 0;
        while (pos){
            ret += tree[pos];
            pos -= lowbit(pos);
        }
        return ret;
    }
    vector<int> countSmaller(vector<int>& nums) {
        n = nums.size();
        vector<int> ret(n);
        if (n == 0) return ret;
        
        int minn = -50000, maxx = 50000;
        for (int i=0;i<n;++i){
            maxx = max(maxx, nums[i]);
            minn = min(minn, nums[i]);
        }
        n = maxx - minn + 2;
        tree = new int[n+1];
        memset(tree, 0, sizeof(int)*n);
        for (int i=nums.size()-1;i>=0;--i){
            ret[i] = getSum(nums[i] - minn);
            update(nums[i]-minn+1, 1);
        }
        return ret;
    }
};

思路三、线段树

来源

struct SegmentTreeNode{
        int start;
        int end;
        int count;

        SegmentTreeNode* left;
        SegmentTreeNode* right;

        SegmentTreeNode(int _start, int _end):start(_start),end(_end) {
            count = 0;
            left = NULL;
            right = NULL;
        }
};

class Solution {
public:
    SegmentTreeNode* build(int start, int end){
        if (start > end)
            return NULL;
        
        SegmentTreeNode* root = new SegmentTreeNode(start, end);

        if (start == end){
            root->count = 0;
        }else{
            int mid = start + (end - start)/2;
            root->left = build(start, mid);
            root->right = build(mid+1, end);
        }
        return root;
    }

    int count(SegmentTreeNode* root, int start, int end){
        if (root == NULL || start>end)
            return 0;
        if (start==root->start && end==root->end){
            return root->count;
        }
        int mid = root->start + (root->end - root->start)/2;
        int leftcount = 0, rightcount = 0;

        if (start <= mid){
            if (mid < end)
                leftcount = count(root->left, start, mid);
            else
                leftcount = count(root->left, start, end);
        }

        if (mid < end){
            if (start <= mid)
                rightcount = count(root->right, mid+1, end);
            else
                rightcount = count(root->right, start, end);
        }

        return (leftcount + rightcount);
    }

    void insert(SegmentTreeNode* root, int index, int val){
        if (root->start==index && root->end==index){
            root->count += val;
            return;
        }

        int mid = root->start + (root->end - root->start)/2;
        if (index>=root->start && index<=mid){
            insert(root->left, index, val);
        }
        if (index>mid && index<=root->end){
            insert(root->right, index, val);
        }

        root->count = root->left->count + root->right->count;
    }

    vector<int> countSmaller(vector<int>& nums) {
        vector<int> res;
        if (nums.empty())
            return res;
        res.resize(nums.size());
        int start = nums[0];
        int end = nums[0];

        for (int i=1; i<nums.size(); i++){
            start = min(start, nums[i]);
            end = max(end, nums[i]);
        }

        SegmentTreeNode* root = build(start, end);

        for (int i=nums.size()-1; i>=0; i--){
            res[i] = count(root, start, nums[i]-1);
            insert(root, nums[i], 1);
        }  

        return res;      
    }
};