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Hands-On Design Patterns with Kotlin

You're reading from   Hands-On Design Patterns with Kotlin Build scalable applications using traditional, reactive, and concurrent design patterns in Kotlin

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Product type Paperback
Published in Jun 2018
Publisher Packt
ISBN-13 9781788998017
Length 310 pages
Edition 1st Edition
Languages
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Author (1):
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Alexey Soshin Alexey Soshin
Author Profile Icon Alexey Soshin
Alexey Soshin
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Toc

Table of Contents (13) Chapters Close

Preface 1. Getting Started with Kotlin FREE CHAPTER 2. Working with Creational Patterns 3. Understanding Structural Patterns 4. Getting Familiar with Behavioral Patterns 5. Functional Programming 6. Streaming Your Data 7. Staying Reactive 8. Threads and Coroutines 9. Designed for Concurrency 10. Idioms and Anti-Patterns 11. Reactive Microservices with Kotlin 12. Other Books You May Enjoy

Recursion

Recursion is a function invoking itself with new arguments:

fun sumRec(i: Int, numbers: List<Int>): Long {
return if (i == numbers.size) {
0
} else {
numbers[i] + sumRec(i + 1, numbers)
}
}

We usually avoid recursion, due to Stack Overflow error 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 experience it:

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

One of the great benefits of tail recursion is that it avoids the dreaded stack overflow exception.

Let's rewrite our recursive function using a new keyword, tailrec, to avoid that problem:

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