The Problem
Given head
, the head of a linked list, determine if the linked list has a cycle in it.
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 the tail’s next
pointer is connected to. Note that pos
is not passed as a parameter.
Return true
if there is a cycle in the linked list. Otherwise, return false
.
Examples
Input: head = [3,2,0,-4], pos = 1
Output: true
Explanation: There is a cycle in the linked list, where the tail connects to the 1st node (0-indexed).
Input: head = [1,2], pos = 0
Output: true
Explanation: There is a cycle in the linked list, where the tail connects to the 0th node.
Input: head = [1], pos = -1
Output: false
Explanation: There is no cycle in the linked list.
Constraints
- The number of 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.
Follow-up: Can you solve it using O(1) (i.e., constant) memory?
Brute Force Solution
func hasCycle(_ head: ListNode?) -> Bool {
var seen: Set<ListNode> = []
var curr = head
while curr != nil {
if seen.contains(curr!) {
return true
}
seen.insert(curr!)
curr = curr?.next
}
return false
}
Explanation
We can solve this problem in a brute-force way using additional memory with a Set
. By iterating through all nodes in head
and checking if seen
contains the current node, we can determine the result.
Time/Space Complexity
- Time complexity: O(n)
- Space complexity: O(n)
Slow/Fast Pointers Solution
func hasCycle(_ head: ListNode?) -> Bool {
var slow = head
var fast = head
while fast != nil && fast?.next != nil {
slow = slow?.next
fast = fast?.next?.next
if slow === fast {
return true
}
}
return false
}
Explanation
The slow/fast pointer technique solves the problem with constant memory space. We start from the beginning of head
and move the slow
pointer by one step and the fast
pointer by two steps.
For example, in the case of input [1, 2, 3, 4]
with pos = 1
(which corresponds to the value 2
), the fast
and slow
pointers will eventually meet at the same position with value 2
.
Time/Space Complexity
- Time complexity: O(n)
- Space complexity: O(1)