Detect Cycle in Linked List Floyd's Algorithm in DSA C# - Time & Space Complexity
We want to understand how long it takes to check if a linked list has a cycle using Floyd's Algorithm.
How does the time needed grow as the list gets longer?
Analyze the time complexity of the following code snippet.
public bool HasCycle(ListNode head) {
ListNode slow = head;
ListNode fast = head;
while (fast != null && fast.next != null) {
slow = slow.next;
fast = fast.next.next;
if (slow == fast) {
return true;
}
}
return false;
}
This code checks if a linked list has a cycle by moving two pointers at different speeds.
Identify the loops, recursion, array traversals that repeat.
- Primary operation: The while loop that moves slow and fast pointers through the list.
- How many times: At most, the fast pointer moves through all nodes, so up to n times where n is the list length.
As the list gets longer, the number of steps grows roughly in a straight line with the number of nodes.
| Input Size (n) | Approx. Operations |
|---|---|
| 10 | About 10 steps |
| 100 | About 100 steps |
| 1000 | About 1000 steps |
Pattern observation: The time grows linearly as the list size increases.
Time Complexity: O(n)
This means the time to detect a cycle grows directly with the number of nodes in the list.
[X] Wrong: "Because there are two pointers, the time is doubled or squared."
[OK] Correct: The fast pointer moves twice as fast, but both pointers together still only pass through the list a limited number of times, so time grows linearly, not squared.
Understanding this time complexity helps you explain why Floyd's Algorithm is efficient and preferred for cycle detection in linked lists.
"What if we used only one pointer and checked each node against all others? How would the time complexity change?"
Practice
Solution
Step 1: Understand Floyd's Algorithm goal
Floyd's Cycle Detection Algorithm is designed to detect if a linked list has a cycle by using two pointers moving at different speeds.Step 2: Compare with other linked list operations
Sorting, reversing, or finding the middle element are different operations and not the purpose of this algorithm.Final Answer:
To check if the linked list contains a cycle -> Option BQuick Check:
Cycle detection = Check for cycle [OK]
- Confusing cycle detection with sorting
- Thinking it reverses the list
- Assuming it finds the middle element
Solution
Step 1: Understand pointer initialization
Slow pointer starts at head, fast pointer starts at head.next to ensure fast moves ahead and cycle detection works correctly.Step 2: Check other options for correctness
Initializing both pointers at head can cause immediate equality and false positive; starting slow as null or fast too far ahead risks null reference.Final Answer:
Node slow = head; Node fast = head.next; -> Option CQuick Check:
Slow at head, fast at head.next [OK]
- Starting both pointers at head causing false positives
- Starting slow pointer as null
- Skipping initialization of one pointer
class Node {
public int val;
public Node next;
public Node(int v) { val = v; next = null; }
}
Node head = new Node(1);
head.next = new Node(2);
head.next.next = new Node(3);
head.next.next.next = head.next; // cycle here
bool HasCycle(Node head) {
Node slow = head, fast = head;
while (fast != null && fast.next != null) {
slow = slow.next;
fast = fast.next.next;
if (slow == fast) return true;
}
return false;
}
Console.WriteLine(HasCycle(head));Solution
Step 1: Analyze linked list structure
The list has nodes 1 -> 2 -> 3, and then 3 points back to 2, creating a cycle.Step 2: Trace Floyd's algorithm execution
Slow and fast pointers will eventually meet inside the cycle, so the function returns true.Final Answer:
True -> Option DQuick Check:
Cycle present = true [OK]
- Ignoring the cycle created by linking back
- Assuming no cycle returns true
- Confusing syntax errors with logic
bool HasCycle(Node head) {
Node slow = head.next;
Node fast = head.next.next;
while (fast != null && fast.next != null) {
if (slow == fast) return true;
slow = slow.next;
fast = fast.next.next;
}
return false;
}Solution
Step 1: Check pointer initialization
Initializing slow as head.next and fast as head.next.next can cause null reference if list is too short.Step 2: Understand safe initialization
Both pointers should start at head to avoid null errors and correctly detect cycles.Final Answer:
Pointers initialized incorrectly causing null reference -> Option AQuick Check:
Incorrect pointer start = null error risk [OK]
- Starting pointers too far ahead
- Not checking for null before accessing next
- Using wrong loop condition operators
Solution
Step 1: Detect cycle using Floyd's algorithm
First, detect if a cycle exists by moving slow and fast pointers until they meet.Step 2: Find cycle start node
Reset one pointer to head, then move both pointers one step at a time; the node where they meet is the cycle start.Final Answer:
After detecting cycle, reset one pointer to head and move both one step until they meet -> Option AQuick Check:
Reset pointer + move one step = cycle start [OK]
- Using hash sets instead of Floyd's algorithm
- Counting nodes without resetting pointers
- Reversing list which breaks cycle detection
Ready to prove it?
Pass the test and this pattern moves unknown
