#897 cycle detection in linked list

Algorithms_and_Data_Structures/Linked List/Detect_Cycle_in_List/program.py

@@ -0,0 +1,54 @@
+class ListNode:
+    def __init__(self, x):
+        self.val = x
+        self.next = None
+
+class Solution:
+    def hasCycle(self, head: ListNode) -> bool:
+        slow, fast = head, head
+
+        # Use Floyd's Cycle-Finding Algorithm
+        while fast and fast.next:
+            slow = slow.next
+            fast = fast.next.next
+            if slow == fast:
+                return True
+        return False
+
+# Helper function to create a linked list with a cycle
+def createLinkedList(values, pos):
+    head = ListNode(values[0])
+    current = head
+    nodes = [head]  # store nodes to connect cycle later
+
+    for value in values[1:]:
+        new_node = ListNode(value)
+        current.next = new_node
+        current = new_node
+        nodes.append(new_node)
+
+    # Create cycle if pos is not -1
+    if pos != -1:
+        current.next = nodes[pos]
+
+    return head
+
+# Helper function to display the result
+def printResult(head, pos):
+    solution = Solution()
+    has_cycle = solution.hasCycle(head)
+    print(f"Cycle at position {pos}: {'Cycle detected' if has_cycle else 'No cycle detected'}")
+
+# Example usage
+values = [3, 2, 0, -4]
+pos = 1  # means the last node connects to the node at index 1
+head = createLinkedList(values, pos)
+print("Input linked list values:", values)
+printResult(head, pos)
+
+# Test with no cycle
+values_no_cycle = [1, 2]
+pos_no_cycle = -1  # no cycle
+head_no_cycle = createLinkedList(values_no_cycle, pos_no_cycle)
+print("\nInput linked list values:", values_no_cycle)
+printResult(head_no_cycle, pos_no_cycle)

Algorithms_and_Data_Structures/Linked List/Detect_Cycle_in_List/readme.md

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+# Linked List Cycle Detection
+
+## Problem Statement
+Given the `head` of a linked list, determine if the linked list contains a cycle. A cycle exists if a node in the list points back to an earlier node, creating a loop in the list. Internally, a variable `pos` represents the index of the node that the tail's `next` pointer is connected to. If there is no cycle, `pos` is `-1`.
+
+Return `true` if the linked list has a cycle, otherwise return `false`.
+
+### Example
+
+Given the linked list:
+
+- **Input**: `head = [3,2,0,-4], pos = 1`
+- **Output**: `true`
+
+### Constraints
+- The number of nodes in the list is in the range `[0, 10^4]`.
+- `-10^5 <= Node.val <= 10^5`
+- `pos` is `-1` if there is no cycle.
+
+## Solution Approach
+
+### Floyd’s Cycle Detection Algorithm (Tortoise and Hare)
+This approach uses two pointers (`slow` and `fast`) to detect a cycle:
+
+1. **Initialize**:
+   - Set `slow` and `fast` to `head`.
+
+2. **Traverse**:
+   - Move `slow` by one step (`slow = slow->next`) and `fast` by two steps (`fast = fast->next->next`) in each iteration.
+
+3. **Cycle Check**:
+   - If there’s a cycle, `slow` and `fast` will eventually meet at some point within the loop.
+   - If `fast` reaches the end (`NULL`), there is no cycle.
+
+This algorithm efficiently checks for cycles in `O(n)` time complexity with `O(1)` space complexity.
+

Project-Structure.md

@@ -93,6 +93,8 @@
   * Linked List
     * Clone A List With Random Pointers
       * [Program](Algorithms_and_Data_Structures/Linked%20List/Clone_a_List_with_Random_Pointers/program.py)
+    * Detect Cycle In List
+      * [Program](Algorithms_and_Data_Structures/Linked%20List/Detect_Cycle_in_List/program.py)
     * [Menu Driven Code For Circular Doubly Linkedlist](Algorithms_and_Data_Structures/Linked%20List/Menu_Driven_Code_for_Circular_Doubly_LinkedList.py)
     * [Menu Driven Code For Circular Linkedlist](Algorithms_and_Data_Structures/Linked%20List/Menu_Driven_Code_for_Circular_LinkedList.py)
     * [Menu Driven Code For Doubly Linkedlist](Algorithms_and_Data_Structures/Linked%20List/Menu_Driven_Code_for_Doubly_LinkedList.py)