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Swift Functional Programming

You're reading from   Swift Functional Programming Ease the creation, testing, and maintenance of Swift codes

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Product type Paperback
Published in Apr 2017
Publisher Packt
ISBN-13 9781787284500
Length 316 pages
Edition 2nd Edition
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Author (1):
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Dr. Fatih Nayebi Dr. Fatih Nayebi
Author Profile Icon Dr. Fatih Nayebi
Dr. Fatih Nayebi
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Table of Contents (12) Chapters Close

Preface 1. Getting Started with Functional Programming in Swift FREE CHAPTER 2. Functions and Closures 3. Types and Type Casting 4. Enumerations and Pattern Matching 5. Generics and Associated Type Protocols 6. Map, Filter, and Reduce 7. Dealing with Optionals 8. Functional Data Structures 9. Importance of Immutability 10. Best of Both Worlds and Combining FP Paradigms with OOP 11. Case Study - Developing an iOS Application with FP and OOP Paradigms

Monoids


In mathematics, Monoids can be considered as categories with a single object. They capture the idea of function composition within a set. In fact, all functions from a set into itself naturally form a Monoid with respect to function composition.

In computer science, there are different types of Monoid, such as free, transition, syntactic, trace, and history. A set of strings built from a given set of characters is a free Monoid. The transition Monoid and syntactic Monoid are used to describe finite state machines, whereas trace Monoids and history Monoids provide a foundation for process calculi and concurrent computing.

Simply put, in computer science, a Monoid is a set, a binary operation, and an element of the set with the following rules:

  • Associativity of binary operations
  • The element is the identity

Simply put, a structure is a Monoid if the structure is a Semigroup with an element that is the identity. So let's define a new protocol that extends our Semigroupprotocol:

protocol Monoid...
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