876 Middle of the Linked List 链表的中间结点
Description:
Given a non-empty, singly linked list with head node head, return a middle node of linked list.
If there are two middle nodes, return the second middle node.
Example:
Example 1:
Input: [1,2,3,4,5]
Output: Node 3 from this list (Serialization: [3,4,5])
The returned node has value 3. (The judge's serialization of this node is [3,4,5]).
Note that we returned a ListNode object ans, such that:
ans.val = 3, ans.next.val = 4, ans.next.next.val = 5, and ans.next.next.next = NULL.
Example 2:
Input: [1,2,3,4,5,6]
Output: Node 4 from this list (Serialization: [4,5,6])
Since the list has two middle nodes with values 3 and 4, we return the second one.
Note:
The number of nodes in the given list will be between 1 and 100.
题目描述:
给定一个带有头结点 head 的非空单链表，返回链表的中间结点。
如果有两个中间结点，则返回第二个中间结点。
示例 :
示例 1：
输入：[1,2,3,4,5]
输出：此列表中的结点 3 (序列化形式：[3,4,5])
返回的结点值为 3 。 (测评系统对该结点序列化表述是 [3,4,5])。
注意，我们返回了一个 ListNode 类型的对象 ans，这样：
ans.val = 3, ans.next.val = 4, ans.next.next.val = 5, 以及 ans.next.next.next = NULL.
示例 2：
输入：[1,2,3,4,5,6]
输出：此列表中的结点 4 (序列化形式：[4,5,6])
由于该列表有两个中间结点，值分别为 3 和 4，我们返回第二个结点。
提示：
给定链表的结点数介于 1 和 100 之间。
思路:
使用快慢指针, 快指针每次向后找两个结点, 慢指针每次向后找一个结点, 当快指针找到链表结尾的时候, 慢指针刚好指向链表终点
时间复杂度O(n), 空间复杂度O(1)
代码:
C++:
/**
* Definition for singly-linked list.
* struct ListNode {
* int val;
* ListNode *next;
* ListNode(int x) : val(x), next(NULL) {}
* };
*/
class Solution
{
public:
ListNode* middleNode(ListNode* head)
{
ListNode *fast = head, *slow = head;
while (fast && fast -> next)
{
fast = fast -> next -> next;
slow = slow -> next;
}
return slow;
}
};
Java:
/**
* Definition for singly-linked list.
* public class ListNode {
* int val;
* ListNode next;
* ListNode(int x) { val = x; }
* }
*/
class Solution {
public ListNode middleNode(ListNode head) {
ListNode fast = head, slow = head;
while (fast != null && fast.next != null) {
fast = fast.next.next;
slow = slow.next;
}
return slow;
}
}
Python:
# Definition for singly-linked list.
# class ListNode:
# def __init__(self, x):
# self.val = x
# self.next = None
class Solution:
def middleNode(self, head: ListNode) -> ListNode:
fast = slow = head
while fast and fast.next:
fast, slow = fast.next.next, slow.next
return slow
