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  • 740. Delete and Earn

    Given an array nums of integers, you can perform operations on the array.

    In each operation, you pick any nums[i] and delete it to earn nums[i] points. After, you must delete every element equal to nums[i] - 1 or nums[i] + 1.

    You start with 0 points. Return the maximum number of points you can earn by applying such operations.

    Example 1:

    Input: nums = [3, 4, 2]
    Output: 6
    Explanation: 
    Delete 4 to earn 4 points, consequently 3 is also deleted.
    Then, delete 2 to earn 2 points. 6 total points are earned.
    

    Example 2:

    Input: nums = [2, 2, 3, 3, 3, 4]
    Output: 9
    Explanation: 
    Delete 3 to earn 3 points, deleting both 2's and the 4.
    Then, delete 3 again to earn 3 points, and 3 again to earn 3 points.
    9 total points are earned.

    Note:

    • The length of nums is at most 20000.
    • Each element nums[i] is an integer in the range [1, 10000].

    Approach #1: DP. [C++]

    class Solution {
    public:
        int deleteAndEarn(vector<int>& nums) {
            int len = nums.size();
            if (len == 0) return 0;
            int r = *max_element(nums.begin(), nums.end());
            vector<int> points(r+1, 0);
            for (int num : nums) 
                points[num] += num;
            return solve(points);
        }
        
    private:
        int solve(const vector<int>& points) {
            int dp1 = 0, dp2 = 0;
            for (int point : points) {
                int dp = max(dp2 + point, dp1);
                dp2 = dp1;
                dp1 = dp;
            }
            
            return dp1;
        }
    };
    

      

    Analysis:

    If we take nums[i], we can safely take all of its copies. We can't take any of copies of nums[i-1] and nums[i+1], This problem is reduced to 198 House Robber.

    Houses[i] has all the copies of num whose value is i.

    [3, 4, 2] -> [0, 2, 3, 4], rob([0, 2, 3, 4]) = 6

    [2, 2, 3, 3, 3, 4] -> [0, 2*2, 3*3, 4], rob([0, 2*2, 3*3, 4]) = 9

    Time complexity: O(n+r) reduction + O(r) solving rob = O(n + r)

    Space complexity: O(r).

    Reverence:

    http://zxi.mytechroad.com/blog/dynamic-programming/leetcode-740-delete-and-earn/

    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/10533986.html
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