Linked List Cycle | HashSet & Fast Slow Pointer | Floyd's Cycle Detection Algorithm| Java Python c++

In this video, we'll solve the Linked List Cycle I problem using both the HashSet and Fast & Slow Pointer (Floyd's Cycle Detection) approaches. We'll learn how to detect whether a cycle exists in a linked list and understand why the two-pointer technique is the most optimal solution. 🔹 Understand the Linked List Cycle Problem 🔹 HashSet Approach Explained 🔹 Floyd's Cycle Detection (Fast & Slow Pointer) 🔹 Step-by-Step Dry Run 🔹 Why the Two Pointer Approach Works 🔹 Edge Cases and Interview Tips 🔹 Time & Space Complexity Analysis The Fast & Slow Pointer technique is one of the most important Linked List patterns and is frequently asked in coding interviews. It is also used in problems like finding the middle of a linked list, detecting the start of a cycle, and checking for happy numbers. Complexity Analysis: ✅ HashSet Approach • Time Complexity: O(n) • Space Complexity: O(n) ✅ Fast & Slow Pointer (Floyd's Cycle Detection) • Time Complexity: O(n) • Space Complexity: O(1) Rising Brain (DSA Sheet): https://www.risingbrain.org/sheet Connect with me here: LinkedIn –   / anjalikumari22   Instagram –   / rbanjali.codes   Twitter (X) – https://x.com/anjali1kumari?s=21