The Floyd's Tortoise and Hare algorithm is a two-pointer technique that is used to detect cycles in a linked list. The approach involves using two pointers, one moving twice as fast as the other. If there's a cycle, the fast pointer will eventually meet the slow pointer. This method works in O(n) time with O(1) space.
Time Complexity: O(n), where n is the number of nodes in the list.
Space Complexity: O(1), constant space usage.
1class ListNode {
2 int val;
3 ListNode next;
4 ListNode(int x) {
5 val = x;
6 next = null;
7 }
8}
9
10public class Solution {
11 public boolean hasCycle(ListNode head) {
12 if (head == null) return false;
13 ListNode slow = head;
14 ListNode fast = head;
15 while (fast != null && fast.next != null) {
16 slow = slow.next;
17 fast = fast.next.next;
18 if (slow == fast) {
19 return true;
20 }
21 }
22 return false;
23 }
24}The Java solution uses two pointers, slow and fast. The move rate difference ensures that if there's a cycle, they'll meet; otherwise, the loop exits when fast or fast.next is null.
This approach uses a HashSet to track the nodes visited during the traversal. If a node is encountered twice, there is a cycle. This method requires O(n) space but is simpler to understand.
Time Complexity: O(n^2) because of nested loops (non-optimal use of memory).
Space Complexity: O(n), where n is the number of nodes (uses additional storage).
1class ListNode:
2 def __init__(self, x):
3 self.val = x
4 self.next = None
5
6class Solution:
7 def hasCycle(self, head: ListNode) -> bool:
8 visited = set()
9 while head:
10 if head in visited:
11 return True
12 visited.add(head)
13 head = head.next
14 return FalseIn Python, a set is used to implement the logic similar to Java's HashSet. The cycle is detected by checking if a node has been seen before.