Find the Nth Fibonacci Number
📌 Video Title: Find the Nth Fibonacci Number | Leetcode Easy 🔥 | JavaScript Recursion & DP Explained
📃 Description:
Hey coders! 👋
In today’s video, we’re solving a classic LeetCode Easy problem — Find the Nth Fibonacci Number. Whether you’re prepping for interviews or building your DSA foundation in JavaScript, this problem is a must-know that covers recursion, memoization, and basic dynamic programming.
✅ Problem Statement:
Given an integer n, return the nth number in the Fibonacci sequence, where:
F(0) = 0, F(1) = 1, and F(n) = F(n - 1) + F(n - 2) for n greater than 1.
Sounds simple? We’ll explore both recursive and optimized dynamic programming approaches to handle larger inputs efficiently.
👨🏫 What You’ll Learn:
Understanding the Fibonacci sequence
Recursive solution and its limitations
Optimizing with memoization (top-down DP)
Iterative dynamic programming (bottom-up approach)
Clean JavaScript implementations
Time and space complexity explained
📌 Topics Covered:
Recursion in JavaScript
Memoization and Dynamic Programming
Time Complexity Analysis
Optimizing Recursive Functions
DSA for Beginners
🧠 Why This Problem?
Fibonacci numbers are more than a math problem — they’re a DSA gateway into recursion, dynamic programming, and optimization. This is also a frequent coding test question, so mastering it means faster solutions in interviews!
💡 Example Input: n = 8
💡 Output: 13 ✅
🔧 Language Used: JavaScript 💻
📁 Source Code: https://github.com/15akash/dsa/blob/master/recursion/nth-fibonacci/index.js
🔔 Like, Share and Subscribe if you’re enjoying our JavaScript DSA series and want more beginner-to-advanced coding tutorials!
💬 Drop your favorite DSA question or next topic request in the comments — we’re building this with you!
#Fibonacci #NthFibonacci #JavaScript #DSA #LeetcodeEasy #CodingInterviewPrep #DynamicProgramming #Recursion #Memoization #CodeNewbie #TechPrep #WebDevelopment
Видео Find the Nth Fibonacci Number канала Akash Jindal
📃 Description:
Hey coders! 👋
In today’s video, we’re solving a classic LeetCode Easy problem — Find the Nth Fibonacci Number. Whether you’re prepping for interviews or building your DSA foundation in JavaScript, this problem is a must-know that covers recursion, memoization, and basic dynamic programming.
✅ Problem Statement:
Given an integer n, return the nth number in the Fibonacci sequence, where:
F(0) = 0, F(1) = 1, and F(n) = F(n - 1) + F(n - 2) for n greater than 1.
Sounds simple? We’ll explore both recursive and optimized dynamic programming approaches to handle larger inputs efficiently.
👨🏫 What You’ll Learn:
Understanding the Fibonacci sequence
Recursive solution and its limitations
Optimizing with memoization (top-down DP)
Iterative dynamic programming (bottom-up approach)
Clean JavaScript implementations
Time and space complexity explained
📌 Topics Covered:
Recursion in JavaScript
Memoization and Dynamic Programming
Time Complexity Analysis
Optimizing Recursive Functions
DSA for Beginners
🧠 Why This Problem?
Fibonacci numbers are more than a math problem — they’re a DSA gateway into recursion, dynamic programming, and optimization. This is also a frequent coding test question, so mastering it means faster solutions in interviews!
💡 Example Input: n = 8
💡 Output: 13 ✅
🔧 Language Used: JavaScript 💻
📁 Source Code: https://github.com/15akash/dsa/blob/master/recursion/nth-fibonacci/index.js
🔔 Like, Share and Subscribe if you’re enjoying our JavaScript DSA series and want more beginner-to-advanced coding tutorials!
💬 Drop your favorite DSA question or next topic request in the comments — we’re building this with you!
#Fibonacci #NthFibonacci #JavaScript #DSA #LeetcodeEasy #CodingInterviewPrep #DynamicProgramming #Recursion #Memoization #CodeNewbie #TechPrep #WebDevelopment
Видео Find the Nth Fibonacci Number канала Akash Jindal
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25 апреля 2025 г. 13:30:29
00:08:31
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