Mastering Linked Lists on LeetCode

🚀 Day 11 of My LeetCode Journey — Deep Dive into Linked Lists Today was all about mastering patterns in Linked Lists: 🔹 Linked List Cycle (LeetCode 141) 🔹 Palindrome Linked List (LeetCode 234) 💡 Problem 1: Linked List Cycle Tried two approaches: ✅ Using Set Store visited nodes If node already exists → cycle detected ⏱️ Time: O(n) | 📦 Space: O(n) ✅ Fast & Slow Pointer (Floyd’s Algorithm) 🔥 Slow → 1 step Fast → 2 steps If they meet → cycle exists ⏱️ Time: O(n) | 📦 Space: O(1) 👉 This approach is elegant and optimal! 💡 Problem 2: Palindrome Linked List Again explored two approaches: ✅ Convert to Array Store values in array Compare from both ends ⏱️ Time: O(n) | 📦 Space: O(n) ✅ Optimal Approach (In-place) 🔥 Find middle node Reverse second half of linked list Compare both halves ⏱️ Time: O(n) | 📦 Space: O(1) 👉 This one really tested pointer manipulation skills! 🧠 What I Learned: One problem can have multiple valid approaches Optimal solutions often reduce space complexity Linked Lists = pointer mastery + careful thinking 🔥 Key Takeaways: Always try brute force first → then optimize Fast & slow pointer is a game-changing technique In-place solutions are highly valued in interviews Big thanks to Namaste DSA and Akshay Saini 🚀 for the guidance Day 12 loading… 💪 #LeetCode #DataStructures #Algorithms #CodingJourney #100DaysOfCode #SoftwareEngineering #Programming #InterviewPrep #JavaScript #CodingLife #TechGrowth #ProblemSolving #Developers #LearnToCode #LinkedList #TwoPointers #DSA #NamasteDSA

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