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  • 315. Count of Smaller Numbers After Self(Fenwick Tree)

    You are given an integer array nums and you have to return a new counts array. The counts array has the property where counts[i] is the number of smaller elements to the right of nums[i].

    Example:

    Input: [5,2,6,1]
    Output:[5,2,6,1]

    Explanation:
    To the right of 5 there are 2 smaller elements (2 and 1).
    To the right of 2 there is only 1 smaller element (1).
    To the right of 6 there is 1 smaller element (1).
    To the right of 1 there is 0 smaller element.

    Approach #1: C++. [Fenwick Tree / Binary Indexed Tree]
    class FenwickTree {
    public:
        FenwickTree(int n): sums_(n+1, 0) {}
        
        void update(int i, int delta) {
            while (i < sums_.size()) {
                sums_[i] += delta;
                i += lowbit(i);
            }
        }
        
        int query(int i) const {
            int sum = 0;
            while (i > 0) {
                sum += sums_[i];
                i -= lowbit(i);
            }
            return sum;
        }
    private:
        static inline int lowbit(int x) { return x & (-x); }
        vector<int> sums_;
    };
    
    class Solution {
    public:
        vector<int> countSmaller(vector<int>& nums) {
            set<int> sorted(nums.begin(), nums.end());
            unordered_map<int, int> ranks;
            
            int rank = 0;
            
            for (const int num : sorted) 
                ranks[num] = ++rank;
            
            vector<int> ans;
            FenwickTree tree(ranks.size());
            
            for (int i = nums.size() - 1; i >= 0; --i) {
                ans.push_back(tree.query(ranks[nums[i]] - 1));
                tree.update(ranks[nums[i]], 1);
            }
            
            std::reverse(ans.begin(), ans.end());
            return ans;
        }
    };
    

      

    Prefix sums of frequencise, convert the number to its rank as in sorted array.

    For example:

    Input:    [5, 2, 6, 1]

    sorted:  [1, 2, 5, 6]

    ranks:   [1, 4, 2, 3]

    Increase the freq[rank] by 1.

    Num   Rank   Freq   Prefix sum / Query(rank - 1)  
    - - [0, 0, 0, 0, 0]   -
    1 1 [0, 1, 0, 0, 0] 0
    6 4 [0, 1, 0, 0, 1] 1
    2 2 [0, 1, 1, 0, 1] 1
    5 3 [0, 1, 1, 1, 1] 2
     Approach #2: Java. [BST]
    class Solution {
        
        class Node {
            Node left, right;
            int val, sum, dup = 1;
            public Node(int v, int s) {
                val = v;
                sum = s;
            }
        }
        
        public List<Integer> countSmaller(int[] nums) {
            Integer[] ans = new Integer[nums.length];
            Node root = null;
            for (int i = nums.length - 1; i >= 0; i--) {
                root = insert(nums[i], root, ans, i, 0);
            }
            return Arrays.asList(ans);
        }
        
        private Node insert(int num, Node node, Integer[] ans, int i, int preSum) {
            if (node == null) {
                node = new Node(num, 0);
                ans[i] = preSum;
            } else if (node.val == num) {
                node.dup++;
                ans[i] = preSum + node.sum;
            } else if (node.val > num) {
                node.sum++;
                node.left = insert(num, node.left, ans, i, preSum);
            } else {
                node.right = insert(num, node.right, ans, i, preSum + node.dup + node.sum);
            }
            return node;
        }
    }
    

      

    永远渴望,大智若愚(stay hungry, stay foolish)
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  • 原文地址:https://www.cnblogs.com/h-hkai/p/10034722.html
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