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Problem
Given a linked list, return the node where the cycle begins. If there is no cycle, return null
.
To represent a cycle in the given linked list, we use an integer pos
which represents the position (0-indexed) in the linked list where tail connects to. If pos
is -1
, then there is no cycle in the linked list.
Note: Do not modify the linked list.
Example 1:
Input: head = [3,2,0,-4], 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:
Input: head = [1,2], 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:
Input: head = [1], pos = -1 Output: no cycle Explanation: There is no cycle in the linked list.
Follow up:
Can you solve it without using extra space?
Solution
Approach 1 : Using A Hash Table
Approach 2 : Floyd's Cycle Detection Algorithm
I strongly recommend that you refer link below.
https://www.youtube.com/watch?v=LUm2ABqAs1w
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 | # Definition for singly-linked list. # class ListNode(object): # def __init__(self, x): # self.val = x # self.next = None class Solution(object): def Approach1(self, head): """ :type head: ListNode :rtype: ListNode """ # Time complexity : O(N) # Space complexity : O(N) dic = {} while head : if head in dic : return head dic[head] = 1 head = head.next return None def Approach2(self, head): """ :type head: ListNode :rtype: ListNode """ # Time Complexity : O(N) # Space Complexity : O(1) slow = head fast = head while fast and fast.next : slow = slow.next fast = fast.next.next if slow == fast : slow = head while slow != fast : slow = slow.next fast = fast.next return slow return None | cs |
Source
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