The LIS Algorithm Every Top Company Expects | Patience Sorting | Important DSA Topic

Longest Increasing Subsequence (LIS) in O(n log n) using Patience Sorting 🚀 In this video, you'll learn the famous *Patience Sorting Algorithm* used to solve the *Longest Increasing Subsequence (LIS)* problem in *O(n log n)* time. This is one of the most important interview algorithms and is frequently discussed in coding interviews at top companies like Google, Meta, Amazon, Microsoft, and many others. Once you understand this technique, several LeetCode Hard and advanced Dynamic Programming problems become much easier to approach. What you'll learn: Why the O(n²) DP solution isn't enough The intuition behind Patience Sorting Step-by-step algorithm explanation Binary Search optimization Complete C++ implementation Time and Space Complexity Common interview questions and pitfalls If you're preparing for coding interviews or want to improve your DSA skills, this is an algorithm you should definitely know. 👍 If you found this video helpful, don't forget to Like, Subscribe, and Share! #LIS #PatienceSorting #LeetCode #DynamicProgramming #BinarySearch #CodingInterview #Algorithms #DataStructures #CompetitiveProgramming #GoogleInterview #Cpp #DSA #SoftwareEngineer #TechInterview #Programming