Coding

2130. Maximum Twin Sum of a Linked List

2023-05-17 2 min read

⭐⭐⭐

題目敘述

In a linked list of size n, where n is even, the ith node (0-indexed) of the linked list is known as the twin of the (n-1-i)th node, if 0 <= i <= (n / 2) - 1.

  • For example, if n = 4, then node 0 is the twin of node 3, and node 1 is the twin of node 2. These are the only nodes with twins for n = 4.

The twin sum is defined as the sum of a node and its twin.

Given the head of a linked list with even length, return the maximum twin sum of the linked list.

Example 1:

Input: head = [5,4,2,1] Output: 6 Explanation: Nodes 0 and 1 are the twins of nodes 3 and 2, respectively. All have twin sum = 6. There are no other nodes with twins in the linked list. Thus, the maximum twin sum of the linked list is 6.

Example 2:

Input: head = [4,2,2,3] Output: 7 Explanation: The nodes with twins present in this linked list are:

  • Node 0 is the twin of node 3 having a twin sum of 4 + 3 = 7.
  • Node 1 is the twin of node 2 having a twin sum of 2 + 2 = 4. Thus, the maximum twin sum of the linked list is max(7, 4) = 7.

Example 3:

![](https://assets.leetcode.com/uploads/2021/12/03/eg3drawio.png =300x)

Input: head = [1,100000] Output: 100001 Explanation: There is only one node with a twin in the linked list having twin sum of 1 + 100000 = 100001.

解題思路

Solution

// Definition for singly-linked list.

import java.util.Deque;
import java.util.LinkedList;

public class ListNode {
    int val;
    ListNode next;
    ListNode() {}
    ListNode(int val) { this.val = val; }
    ListNode(int val, ListNode next) { this.val = val; this.next = next; }
}
 
class Solution {
    public int pairSum(ListNode head) {
        Deque<Integer> dq = new LinkedList<>();

        ListNode curr = new ListNode();
        curr = head;
        while(curr != null){
            dq.add(curr.val);
            curr = curr.next;
        }

        int max = Integer.MIN_VALUE;
        while(!dq.isEmpty() && dq.size() >= 2){
            max = Math.max(max, dq.pollFirst() + dq.pollLast());
        }

        return max;
    }
}
← Posts
meow~