🚀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
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