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Scala Functional Programming Patterns

You're reading from   Scala Functional Programming Patterns Grok and perform effective functional programming in Scala

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Product type Paperback
Published in Dec 2015
Publisher
ISBN-13 9781783985845
Length 298 pages
Edition 1st Edition
Languages
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Author (1):
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Atul S. Khot Atul S. Khot
Author Profile Icon Atul S. Khot
Atul S. Khot
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Toc

Table of Contents (13) Chapters Close

Preface 1. Grokking the Functional Way FREE CHAPTER 2. Singletons, Factories, and Builders 3. Recursion and Chasing your Own Tail 4. Lazy Sequences – Being Lazy, Being Good 5. Taming Multiple Inheritance with Traits 6. Currying Favors with Your Code 7. Of Visitors and Chains of Responsibilities 8. Traversals – Mapping/Filtering/Folding/Reducing 9. Higher Order Functions 10. Actors and Message Passing 11. It's a Paradigm Shift Index

Sieve of Eratosthenes


Star gazing at night—we sometimes wonder—How many stars are there in the universe? How many galaxies? How many natural numbers are there? All these are really not finite. They are infinite! Prime numbers are also infinite. A brilliant algorithm to find prime numbers was found by Eratosthenes of Cyrene, a Greek mathematician. Named after him, the Sieve of Eratosthenes algorithm can be very nicely expressed as follows:

scala> def numStream(n: Int): Stream[Int] = 
     | 
Stream.from(n)// 1
numStream: (n: Int)Stream[Int] 
scala> def sieve(stream: Stream[Int]): Stream[Int] = 
     |   stream.head #:: sieve((stream.tail) filter (x => x % stream.head != 0)) // 2
sieve: (stream: Stream[Int])Stream[Int] 
scala> val p = sieve(numStream(2)) 
p: Stream[Int] = Stream(2, ?) 
scala> (p take 5) foreach { println(_) } 
2 
3 
5 
7 
11 

By dissecting the code, we get the following findings:

  1. We have a stream that generates successive numbers, starting off from the argument...

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