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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

Trees


In computer science, a Tree is a very popular abstract data type (ADT) or a data structure implementing this ADT that simulates a hierarchical Tree structure with a root value and subtrees of the children with a parent node, represented as a set of linked nodes.

A Tree data structure can be defined recursively (locally) as a collection of nodes (starting at a root node), where each node is a data structure consisting of a value, together with a list of references to nodes (the children) with the constraints that no reference is duplicated and none point to the root.

Alternatively, a Tree can be defined abstractly as a whole (globally) as an ordered Tree, with a value assigned to each node. Both these perspectives are useful: while a Tree can be analyzed mathematically as a whole, when actually represented as a data structure, it is usually represented and worked separately by a node (rather than as a list of nodes and an adjacency list of edges between nodes, as one may represent a digraph...

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