Description
Given a linked list, determine if it has a cycle in it.
Follow up:
Can you solve it without using extra space?
Solution
###Approach #1 (Hash Table) If ignoring the follow-up, we can use hash table. We go through each node one by one and record each node’s reference in a hash table. If current node’s reference is in the hash table, then return true.
public boolean hasCycle(ListNode head) {
Set<ListNode> nodesSeen = new HashSet<>();
while (head != null) {
if (nodesSeen.contains(head)) {
return true;
} else {
nodesSeen.add(head);
}
head = head.next;
}
return false;
}
Complexity analysis
- Time complexity: O(n)
- Space complexity: O(n)
Approach #2 (Two Pointers)
Imagine two runners running on a track at different speed. What happens when the track is actually a circle?
We use a slow pointer and a fast pointer. The slow pointer moves one step at a time while the fast pointer moves two steps at a time. Consider a cyclic list and imagine the slow and fast pointers are two runners racing around a circle track. The fast runner will eventually meet the slow runner.
public boolean hasCycle(ListNode head) {
if (head == null || head.next == null) {
return false;
}
ListNode slow = head;
ListNode fast = head.next;
while (slow != fast) {
if (fast == null || fast.next == null) {
return false;
}
slow = slow.next;
fast = fast.next.next;
}
return true;
}
Complexity analysis
- Time complexity: O(n)
- Space complexity: O(1)
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