- Constrained Subsequence Sum
Hard 
Given an integer array nums and an integer k, return the maximum sum of a non-empty subsequence of that array such that for every two consecutive integers in the subsequence, nums[i] and nums[j], where i < j, the condition j - i <= k is satisfied.
A subsequence of an array is obtained by deleting some number of elements (can be zero) from the array, leaving the remaining elements in their original order.
Example 1:
Input: nums = [10,2,-10,5,20], k = 2
 Output: 37
 Explanation: The subsequence is [10, 2, 5, 20].
 Example 2:
Input: nums = [-1,-2,-3], k = 1
 Output: -1
 Explanation: The subsequence must be non-empty, so we choose the largest number.
 Example 3:
Input: nums = [10,-2,-10,-5,20], k = 2
 Output: 23
 Explanation: The subsequence is [10, -2, -5, 20].
Constraints:
1 <= k <= nums.length <= 105
 -104 <= nums[i] <= 104
解法1:DP。会超时。
class Solution {
public:
    int constrainedSubsetSum(vector<int>& nums, int k) {
        int n = nums.size();
        vector<int> dp(n, INT_MIN / 3);
        dp[0] = nums[0];
        int res = dp[0];
        for (int i = 1; i < n; i++) {
            dp[i] = nums[i];
            for (int j = 1; j <= k; j++) {
                
                if (i >= j) {
                    dp[i] = max(dp[i], dp[i - j] + nums[i]);
                }       
            }
            res = max(res, dp[i]);
        }
       
        return res;
    }
};
 
解法2:DP+单调队列。注意单调队列本身就是一个滑动窗口。
class Solution {
public:
    int constrainedSubsetSum(vector<int>& nums, int k) {
        int n = nums.size();
        vector<int> dp(n, INT_MIN / 3);
        dp[0] = nums[0];
        int res = dp[0];
        deque<int> dq;
        dq.push_back(0);
        for (int i = 1; i < n; i++) {
            while (!dq.empty() && i - dq.front() > k) dq.pop_front(); 
            dp[i] = max(nums[i], dp[dq.front()] + nums[i]);
            while (!dq.empty() && dp[dq.back()] < dp[i]) dq.pop_back();
            dq.push_back(i);
            res = max(res, dp[i]);
        }
        return res;
    }
};










