👀 Views: 2 💬 Answers: 1 📅 Created: 2025-06-11

javascript memoization performance JavaScript

I've been struggling with this for a few days now and could really use some help. I'm implementing a Fibonacci sequence generator in JavaScript using memoization to optimize performance. However, I am getting inconsistent results when I run the function with certain input values. Here's the code I've written: ```javascript const fib = (n, memo = {}) => { if (n in memo) return memo[n]; if (n <= 1) return n; memo[n] = fib(n - 1, memo) + fib(n - 2, memo); return memo[n]; }; console.log(fib(10)); // Expected output: 55 console.log(fib(50)); // Expected output: 12586269025 console.log(fib(100)); // Output seems correct but takes too long ``` I noticed that when I input larger values like `fib(100)`, it seems to take an unusually long time, which raises a flag. I ran it on Node.js version 14.17.0, but it feels like the optimized recursive calls should be faster. I also tried profiling it with Chrome DevTools, and it shows a lot of time spent in the recursive calls. I suspect it might be related to how I'm handling the base cases or memoization. I even tried running the code with the `--optimize_for_size` flag, but that didn't seem to help. Has anyone else experienced similar issues with memoization in JavaScript, or can you guide to identify potential pitfalls in my implementation? Any insights into optimizing this further would be greatly appreciated! For context: I'm using Javascript on macOS. Any ideas what could be causing this? How would you solve this?