04. Linked List Cycle

The problem can be found at the following link: Question Link

My Approach

  1. Check if the head of the linked list is NULL (i.e., the list is empty). If it is, return false because an empty list cannot have a cycle.

  2. Initialize two pointers, fast and slow, both initially pointing to the head of the linked list. These pointers will be used to traverse the list.

  3. Enter a while loop that continues as long as both the fast and fast->next pointers are not NULL. This condition ensures that the fast pointer can move two steps ahead without causing a null reference error.

  4. Inside the loop: a. Move the fast pointer two steps ahead by assigning fast = fast->next->next. b. Move the slow pointer one step ahead by assigning slow = slow->next.

  5. Check if the fast pointer is equal to the slow pointer. If they are equal, this means that the two pointers have met at the same node within the linked list. This is an indication that a cycle exists in the linked list, so return true.

  6. If the fast and slow pointers do not meet within the loop, continue iterating through the linked list until one of the following conditions is met:

    • The fast pointer reaches the end of the list (fast == NULL or fast->next == NULL). This means there is no cycle in the list, so return false.

    • The fast and slow pointers meet (indicating a cycle). In this case, the function returns true within the loop.

  7. If none of the conditions in step 7 are met and the loop exits, return false. This means that the entire linked list has been traversed, and no cycle has been detected.

The algorithm utilizes the fact that the fast pointer moves at twice the speed of the slow pointer. If there is a cycle, the fast pointer will eventually catch up to the slow pointer, indicating the presence of a cycle. If there is no cycle, the fast pointer will reach the end of the list without intersecting the slow pointer, and the function will return false.

Time and Auxiliary Space Complexity

  • Time Complexity: O(n)

  • Auxiliary Space Complexity: O(1)

Code (C++)


class Solution {
public:
    bool hasCycle(ListNode *head) {
        if(head == NULL)
            return false;
        
        ListNode *fast = head;
        ListNode *slow = head;
    
        while(fast != NULL && fast ->next != NULL)
        {
            fast = fast->next->next;
            slow = slow->next;
            
            if(fast == slow)
                return true;
        }
        return false;
    }
};

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