README_EN.md

comments	difficulty	edit_url	tags
true	Easy	https://github.com/doocs/leetcode/edit/main/solution/0500-0599/0561.Array%20Partition/README_EN.md	Greedy Array Counting Sort Sorting

561. Array Partition

中文文档

Description

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. (1, 4), (2, 3) -> min(1, 4) + min(2, 3) = 1 + 2 = 3
2. (1, 3), (2, 4) -> min(1, 3) + min(2, 4) = 1 + 2 = 3
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

Solutions

Solution 1: Sorting

For a pair of numbers $(a, b)$, we can assume $a \leq b$, then $\min(a, b) = a$. In order to make the sum as large as possible, the $b$ we choose should be as close to $a$ as possible, so as to retain a larger number.

Therefore, we can sort the array $nums$, then divide every two adjacent numbers into a group, and add the first number of each group.

The time complexity is $O(n \times \log n)$, and the space complexity is $O(\log n)$. Where $n$ is the length of the array $nums$.

Python3

class Solution:
    def arrayPairSum(self, nums: List[int]) -> int:
        nums.sort()
        return sum(nums[::2])

Java

class Solution {
    public int arrayPairSum(int[] nums) {
        Arrays.sort(nums);
        int ans = 0;
        for (int i = 0; i < nums.length; i += 2) {
            ans += nums[i];
        }
        return ans;
    }
}

C++

class Solution {
public:
    int arrayPairSum(vector<int>& nums) {
        sort(nums.begin(), nums.end());
        int ans = 0;
        for (int i = 0; i < nums.size(); i += 2) {
            ans += nums[i];
        }
        return ans;
    }
};

Go

func arrayPairSum(nums []int) (ans int) {
	sort.Ints(nums)
	for i := 0; i < len(nums); i += 2 {
		ans += nums[i]
	}
	return
}

Rust

impl Solution {
    pub fn array_pair_sum(mut nums: Vec<i32>) -> i32 {
        nums.sort();
        nums.iter().step_by(2).sum()
    }
}

JavaScript

/**
 * @param {number[]} nums
 * @return {number}
 */
var arrayPairSum = function (nums) {
    nums.sort((a, b) => a - b);
    return nums.reduce((acc, cur, i) => (i % 2 === 0 ? acc + cur : acc), 0);
};