Skip to main content

Linked List Cycle II


Linked List Cycle II: Given the head of a linked list, return the node where the cycle begins. If there is no cycle, return null.

There is a cycle in a linked list if there is some node in the list that can be reached again by continuously following the next pointer. Internally, pos is used to denote the index of the node that tail's next pointer is connected to (0-indexed). It is -1 if there is no cycle. Note that pos is not passed as a parameter.

Do not modify the linked list.

Example 1:

image

Input: head = [3,2,0,-5], pos = 1
Output: tail connects to node index 1
Explanation: There is a cycle in the linked list, where tail connects to the second node.

Example 2:

image

Input: head = [3,2], pos = 0
Output: tail connects to node index 0
Explanation: There is a cycle in the linked list, where tail connects to the first node.

Example 3:

image

Input: head = [3], pos = -1
Output: no cycle
Explanation: There is no cycle in the linked list.

Constraints:
  • The number of the nodes in the list is in the range [0, 10^4].
  • -10^5 <= Node.val <= 10^5
  • pos is -1 or a valid index in the linked-list.

Try this Problem on your own or check similar problems:

  1. Happy Number
  2. Find the Duplicate Number
Solution:
/**
* Definition for singly-linked list.
* class ListNode {
* int val;
* ListNode next;
* ListNode(int x) {
* val = x;
* next = null;
* }
* }
*/
public class Solution {
public ListNode detectCycle(ListNode head) {
if(head == null) return null;

ListNode slow = head, fast = head;
boolean cycleDetected = false;

while(fast != null && fast.next != null){
slow = slow.next;
fast = fast.next.next;
if(slow == fast){
cycleDetected = true;
break;
}
}
if(!cycleDetected) return null;

slow = head;
while(slow != fast){
slow = slow.next;
fast = fast.next;
}

return slow;

}
}

Time/Space Complexity:
  • Time Complexity: O(n)
  • Space Complexity: O(1)

Explanation:

The solution is a combination of the two implementations Find the Duplicate Number where have detailed explanation on how to find the entry point to cycle if one exists, and Linked List Cycle where we actually detect if a cycle exists. It all comes down to slow and fast pointers and "on your left" approach we already discussed.