Can this question be solved in O(n) time? (leetcode - 561. Array Partition)
Given an integer array nums of 2n integers, group these integers into n pairs (a1, b1), (a2, b2), ..., (an, bn) such that the sum of min(ai, bi) for all i is maximized. Return the maximized sum.
Example 1:
Input: nums = [1,4,3,2]
Output: 4
Explanation: All possible pairings (ignoring the ordering of elements) are:
- (1, 4), (2, 3) -> min(1, 4) + min(2, 3) = 1 + 2 = 3
- (1, 3), (2, 4) -> min(1, 3) + min(2, 4) = 1 + 2 = 3
- (1, 2), (3, 4) -> min(1, 2) + min(3, 4) = 1 + 3 = 4 So the maximum possible sum is 4.
Example 2:
Input: nums = [6,2,6,5,1,2]
Output: 9
Explanation: The optimal pairing is (2, 1), (2, 5), (6, 6). min(2, 1) + min(2, 5) + min(6, 6) = 1 + 2 + 6 = 9.
Constraints:
- 1 <= n <= 104
- nums.length == 2 * n
- -104 <= nums[i] <= 104
This is my solution so far with O(nlog(n)) time:
class Solution:
def arrayPairSum(self, nums: List[int]) -> int:
nums.sort()
ans = 0
for i in range(0,len(nums),2):
ans+=nums[i]
return ans
I think the best we can do here is O(sorting time) which is O(n log n) unless there's something special about your input.