LeetCode Daily Challenge Solution | Step-by-Step Explanation | Optimized Approach

In this video, we solve today’s LeetCode Daily Challenge using an efficient and optimized approach. The solution runs in linear time O(n) and uses constant extra space O(1), making it suitable for large input sizes. We begin by understanding the problem statement, then identify key observations, and finally implement an optimal solution that passes all constraints. 🔍 What you’ll learn: How to approach LeetCode daily problems Key observations that reduce time complexity How to achieve O(n) time complexity How to optimize the solution to O(1) extra space Clean and interview-ready logic ⏱️ Time Complexity O(n) We traverse the input only once, ensuring linear performance. 💾 Space Complexity O(1) No extra data structures are used; the solution works with constant space. 💡 Why this solution is optimal By avoiding unnecessary loops and additional memory usage, this approach efficiently handles all edge cases while maintaining the best possible complexity. 🎯 Interview Tip Interviewers love solutions that: Are easy to explain Use optimal time & space Handle edge cases cleanly This solution checks all the boxes ✅ If you found this video helpful: 👍 Like 💬 Comment your doubts 🔔 Subscribe for daily LeetCode solutions #LeetCode #LeetCodeDaily #DSA #Algorithms #ProblemSolving #CodingInterview #CompetitiveProgramming #O_n #ConstantSpace #Java #Python #Cplusplus