🚀Length of Longest Fibonacci Subsequence | LeetCode 873 | Java | DP & Two Pointers | DSA for FAANG скачать в хорошем качестве

🚀Length of Longest Fibonacci Subsequence | LeetCode 873 | Java | DP & Two Pointers | DSA for FAANG

🔥 Longest Fibonacci Subsequence (LeetCode 873) - Java Solution Explained! 🔥 In this video, we solve LeetCode 873: Length of Longest Fibonacci Subsequence using Dynamic Programming (DP) and the Two-Pointer technique in Java. 🚀 🔹 Problem Overview: Given a strictly increasing array of positive integers, we need to find the longest subsequence that follows a Fibonacci-like pattern (xi + xi+1 = xi+2). 💡 What You’ll Learn in This Video: ✅ Step-by-step problem breakdown with examples ✅ Different approaches to solve the problem ✅ Why brute force is inefficient and how we optimize it ✅ Optimal solution using DP + Two Pointers (O(N²) time complexity) ✅ Full Java code walkthrough with explanations ✅ Time & space complexity analysis 📌 Example Test Cases Covered: 🔹 arr = [1,2,3,4,5,6,7,8] → Output: 5 ([1,2,3,5,8]) 🔹 arr = [1,3,7,11,12,14,18] → Output: 3 ([7,11,18]) 🚀 Who Should Watch This? ✔ DSA Beginners & Intermediate Java Developers ✔ FAANG Interview Preparation Candidates ✔ Competitive Programmers & LeetCode Solvers 🔔 Subscribe for More DSA & Java Content! ✅ Like, Comment & Share if this helped you! LeetCode DSA Playlist:    • Crack LeetCode Using Java   GeeksforGeeks DSA Playlist:    • GeeksforGeeks DSA Solutions in Java | Comp...   Wings 1:    • Wings 1   Let’s grow together! I’m open to collaborations and new ideas. Connect with me on: 🌐 LinkedIn:   / rahul-vijayan-682a12194   🐦 Profile: https://rahulvijayan.in/ 📸 Instagram:   / rv_official_yt   🌟 GitHub: https://github.com/Rahulvijayan2291/ 💡LeetCode: https://leetcode.com/u/rahulvijayan2291/ 📌 Join the Community 💬 🔥 Subscribe for more DSA, System Design, and Interview Prep videos! 🚀 📩 Comment below with your doubts or questions, and I’ll answer them! 🎯 Stay tuned for more LeetCode solutions and Java DSA tutorials! 🚀 #HappyCoding #LeetCode #Java #DynamicProgramming #FAANGPrep