Recently, I delved into various JavaScript design patterns and stumbled upon memoization. While it seems like an effective way to prevent redundant value calculations, I can't help but notice a flaw in its implementation. Consider the following code snippet:
function square(num)
{
var result;
if(!square.cache[num]){
console.log("calculating a fresh value...");
result = num*num;
square.cache[num] = result;
}
return square.cache[num];
}
square.cache={}
When we call console.log(square(20)), we see "calculating a fresh value..." followed by the calculated result of 400.
The underlying concern here is what happens when the cache grows significantly with repeated calculations. What if retrieving a cached result takes longer than calculating a new value? Are there any potential solutions for this issue?