Is Your Code Running Slow? The Impact of Neglecting Function Memoization
Have you ever wondered why one particular function call in your code seems to run slower than others? Or maybe you’ve noticed some redundancy where the same function gets called multiple times with the same arguments. If this sounds familiar, function memoization could help optimize your code.
In this blog post, we’ll discuss:
- What is memoization and why it’s useful
- Implementing basic memoization in JavaScript
- When not to use memoization
- Conclusion
1. What is Memoization?
Function memoization is a programming technique that helps speed up repeated function calls by caching previous computation results. Instead of recalculating the output, the function returns previously calculated values. This avoids unnecessary re-computation and improves performance, especially for functions that take a long time to execute or make resource-intensive operations like network or database calls.
For example, say we have a function that calculates the factorial of a number. Calling this function multiple times with the same input would result in duplicate work:
function factorial(n) {
if (n <= 1) return 1;
return n *…