👀 Views: 329 💬 Answers: 1 📅 Created: 2025-06-02

javascript recursion memoization JavaScript

I'm having a hard time understanding Quick question that's been bugging me - I'm working on a personal project and I'm working on a recursive function to compute Fibonacci numbers in JavaScript, but it's running really slow for larger inputs. I've implemented the basic recursive approach, but I know that it can lead to a lot of repeated calculations. I want to optimize it using memoization to cache results and avoid redundant computations. Here's my current implementation: ```javascript function fibonacci(n) { if (n <= 1) return n; return fibonacci(n - 1) + fibonacci(n - 2); } ``` When I test it with larger numbers like `fibonacci(40)`, it takes too long, and I get frustrated by the performance. I want to modify this function to use an object to store previously computed Fibonacci numbers. However, I'm not sure if my approach is correct. Here's what I tried: ```javascript const memo = {}; function fibonacciMemo(n) { if (n in memo) return memo[n]; if (n <= 1) return n; memo[n] = fibonacciMemo(n - 1) + fibonacciMemo(n - 2); return memo[n]; } ``` This seems to work for smaller inputs like `fibonacciMemo(10)`, but I ran into an scenario when I tested it with `fibonacciMemo(50)`. The function returns `12586269025`, which seems correct, but it takes longer than I expected. I wonder if there's a more efficient way to implement this or if I'm missing something in my memoization logic. Any suggestions on how to further optimize this function or best practices with memoization in JavaScript? My development environment is Windows. Is there a better approach? My development environment is Ubuntu. I'd really appreciate any guidance on this. My team is using Javascript for this application.