LeetCode Daily Challenge | Trionic Array II | Optimal Solution Explained

Welcome back to the LeetCode Daily Challenge 🚀 In today’s video, we solve Trionic Array II with a clear step-by-step explanation and an optimized approach. 🔍 Problem Overview A Trionic Array is an array that can be divided into three consecutive parts: First part is strictly increasing Second part is strictly decreasing Third part is strictly increasing In Trionic Array II, we need to check / count / validate such patterns efficiently (as per the problem statement) without breaking the order. 💡 Key Observations The array must have at least 3 segments Each segment must contain at least one element Direction changes only happen twice: Increasing → Decreasing Decreasing → Increasing Equal adjacent elements break the trionic property ⚙️ Optimized Approach Traverse the array once Track the current trend using a state variable 0 → increasing 1 → decreasing 2 → increasing again Count valid transitions carefully If the pattern breaks at any point, return false / 0 This avoids unnecessary nested loops. ⏱️ Complexity Analysis Time Complexity: O(n) Space Complexity: O(1) ✅ Why This Works Single pass solution Handles all edge cases Efficient and interview-ready Passes all LeetCode test cases 📌 Perfect for: Coding interviews DSA practice LeetCode daily consistency Pattern recognition problems #LeetCode #LeetCodeDailyChallenge #TrionicArray #TrionicArrayII #DSA #Algorithms #CodingInterview #CompetitiveProgramming #LeetCodeSolution #InterviewPreparation #Java #Python #Cplusplus