Book Image

Swift Data Structure and Algorithms

By : Mario Eguiluz Alebicto
Book Image

Swift Data Structure and Algorithms

By: Mario Eguiluz Alebicto

Overview of this book

Apple’s Swift language has expressive features that are familiar to those working with modern functional languages, but also provides backward support for Objective-C and Apple’s legacy frameworks. These features are attracting many new developers to start creating applications for OS X and iOS using Swift. Designing an application to scale while processing large amounts of data or provide fast and efficient searching can be complex, especially running on mobile devices with limited memory and bandwidth. Learning about best practices and knowing how to select the best data structure and algorithm in Swift is crucial to the success of your application and will help ensure your application is a success. That’s what this book will teach you. Starting at the beginning, this book will cover the basic data structures and Swift types, and introduce asymptotic analysis. You’ll learn about the standard library collections and bridging between Swift and Objective-C collections. You will see how to implement advanced data structures, sort algorithms, work with trees, advanced searching methods, use graphs, and performance and algorithm efficiency. You’ll also see how to choose the perfect algorithm for your problem.
Table of Contents (15 chapters)
Swift Data Structure and Algorithms
Credits
About the Authors
About the Reviewers
www.PacktPub.com
Preface

Chapter 4. Sorting Algorithms

So far we have learned about different data structures and their performance characteristics. In this chapter, we will begin learning about algorithms, which are the fundamental ways of processing data. Algorithms take a sequence of data as input, process that data, and then return a value or set of values as output.

In this chapter, we discuss sorting algorithms and how to apply them using an array data structure we learned about in the previous chapters. We will explore different algorithms that use comparison sorting and look at both simple sorting and divide and conquer strategies where the entire sorting process can be done in memory. As in Chapter 2Working with Commonly Used Data Structures, we place importance on visualizing the algorithms we will learn about in this chapter.

The topics covered in this chapter are:

  • Implementing insertion sort algorithm

  • Implementing merge sort algorithm

  • Implementing quick sort algorithm

We'll first look at the insertion sort...