Kariem Seiam
09/26/2023, 2:17 AMπ The Power of Memoization in Kotlin! π§ π‘π What's Memoization? It's a technique that saves costly function results, making your code faster by avoiding redundant calculations. Ideal for functions with input-dependent outputs. π¦ Kotlin Memoization : With Kotlin, you can implement memoization yourself using a simple
Map
. Take a closer look at the (Code Snapshot) image.
β¨ How It Works : The Memoize
class stores function results in a Map
. When the same input is encountered again, it retrieves the cached result instead of recomputation.
π©βπ» Practical Usage : Let's say you have a function sumFactors
that calculates the sum of factors for an integer. Memoize it like this:
val sumFactors = { n: Int -> calculateSumOfFactors(n) }
val memoizedSumFactors = sumFactors.memoize()
memoizedSumFactors(10) // Calls calculateSumOfFactors()
memoizedSumFactors(10) // Returns cached result
π Benefits and Considerations:
β’ π Speed Boost : Memoization makes slow functions lightning-fast.
β’ π§ Code Clarity : Say goodbye to redundant calculations, keeping your code clean and maintainable.
β’ π§ Easy Implementation : Kotlin's getOrPut
function simplifies the process, making it accessible even for beginners.
β’ π
ββοΈ Single-Parameter Limit : Memoization works best for single-input functions.
β’ -π Explicit Memoization : You must apply memoization explicitly to each function.
β’ πΎ Memory Usage : Storing results consumes memory, so consider this as your cache grows.
https://lnkd.in/ds5Y_ut4Alejandro Serrano.Mena
09/26/2023, 5:19 AMgabfssilva
09/26/2023, 12:46 PMmutableMapOf
to ConcurrentHashMap
, but that's for JVM only. Anyway I'm pretty sure it wouldn't require much to create a multi-platform solution for this as well. πKariem Seiam
09/26/2023, 1:21 PM