Search icon CANCEL
Subscription
0
Cart icon
Your Cart (0 item)
Close icon
You have no products in your basket yet
Save more on your purchases now! discount-offer-chevron-icon
Savings automatically calculated. No voucher code required.
Arrow left icon
Explore Products
Best Sellers
New Releases
Books
Videos
Audiobooks
Learning Hub
Conferences
Free Learning
Arrow right icon
Arrow up icon
GO TO TOP
Kotlin Design Patterns and Best Practices

You're reading from   Kotlin Design Patterns and Best Practices Elevate your Kotlin skills with classical and modern design patterns, coroutines, and microservices

Arrow left icon
Product type Paperback
Published in Apr 2024
Publisher Packt
ISBN-13 9781805127765
Length 474 pages
Edition 3rd Edition
Languages
Tools
Arrow right icon
Author (1):
Arrow left icon
Alexey Soshin Alexey Soshin
Author Profile Icon Alexey Soshin
Alexey Soshin
Arrow right icon
View More author details
Toc

Table of Contents (19) Chapters Close

Preface 1. Section 1: Classical Patterns
2. Getting Started with Kotlin FREE CHAPTER 3. Working with Creational Patterns 4. Understanding Structural Patterns 5. Getting Familiar with Behavioral Patterns 6. Section 2: Reactive and Concurrent Patterns
7. Introducing Functional Programming 8. Threads and Coroutines 9. Controlling the Data Flow 10. Designing for Concurrency 11. Section 3: Practical Application of Design Patterns
12. Idioms and Anti-Patterns 13. Practical Functional Programming with Arrow 14. Concurrent Microservices with Ktor 15. Reactive Microservices with Vert.x 16. Assessments
17. Other Book You May Enjoy
18. Index

Recursion

Recursion is a function invoking itself with new arguments. Many well-known algorithms, such as depth-first search, rely on recursion.

Here is an example of a very inefficient function that uses recursion to calculate the sum of all the numbers in a given list:

fun sumRec(i: Int, sum: Long, numbers: List<Int>): Long {
    return if (i == numbers.size) {
        return sum
    } else {
        sumRec(i+1, numbers[i] + sum, numbers)
    }
}

We often try to avoid recursion due to the stack overflow errors that we may receive if our call stack is too deep. You can call this function with a list that contains a million numbers to demonstrate this:

val numbers = List(1_000_000) {it}
println(sumRec(0, 0, numbers))
// Crashed pretty soon, around 7K

However, Kotlin supports an optimization called tail recursion. One of the great benefits of tail recursion is that it avoids the dreaded stack overflow exception. If there is only a single recursive call in...

lock icon The rest of the chapter is locked
Register for a free Packt account to unlock a world of extra content!
A free Packt account unlocks extra newsletters, articles, discounted offers, and much more. Start advancing your knowledge today.
Unlock this book and the full library FREE for 7 days
Get unlimited access to 7000+ expert-authored eBooks and videos courses covering every tech area you can think of
Renews at €18.99/month. Cancel anytime