Kariem Seiam
09/26/2023, 2:17 AM🚀 The Power of Memoization in Kotlin! 🧠💡🔍 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. 📦 Kotlin Memoization : With Kotlin, you can implement memoization yourself using a simple
Map
. Take a closer look at the (Code Snapshot) image.
✨ 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.
👩💻 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
🌟 Benefits and Considerations:
• 🌟 Speed Boost : Memoization makes slow functions lightning-fast.
• 🧐 Code Clarity : Say goodbye to redundant calculations, keeping your code clean and maintainable.
• 🧠 Easy Implementation : Kotlin's getOrPut
function simplifies the process, making it accessible even for beginners.
• 🙅♂️ Single-Parameter Limit : Memoization works best for single-input functions.
• -📉 Explicit Memoization : You must apply memoization explicitly to each function.
• 💾 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. 🙂Kariem Seiam
09/26/2023, 1:21 PM