How to memoize a function with JavaScript and LeetCode

Day 11 of #30DaysOfJavaScript on LeetCode Today's Challenge: 2623 — Memoize Today’s problem focused on performance optimization using memoization — a powerful technique to cache the results of expensive function calls and return the cached result when the same inputs occur again. Here’s my solution 👇 function memoize(fn) { const cache = {}; return function(...args) { const key = JSON.stringify(args); if (key in cache) { return cache[key]; } const result = fn(...args); cache[key] = result; return result; } } This challenge highlights how closures and object caching work together to optimize performance — especially useful for recursive functions like Fibonacci or factorial. By storing computed results, we avoid redundant calculations, making our functions significantly faster! Try it out here: https://lnkd.in/g6WC5mu7 #JavaScript #LeetCode #CodingChallenge #LearningJourney #30DaysOfCode #Memoization #Closures #Optimization #Programming #Developers #Learning

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