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

Prim algorithm


It was Robert C. Prim in 1957 who gave his surname to Prim's algorithm, which takes an undirected connected graph and calculates its MST in linear time.

Other algorithms, such as Kruskal and Borûvka, also calculate the MST of a graph, but in these cases the initial graph is a forest, not an undirected connected graph, which is what we are going to try out now.

Let's see how Prim's algorithm works with a real example. Here's a graph G with the following vertices, edges, and weights:

Initial undirected connected graph

Here are the steps to calculate the MST:

  1. Start with an arbitrary vertex of the graph. For clarity, we are going to start with vertex A. Initialize a tree with that vertex:

    Prim Step 1: Start with an arbitrary vertex

  2. For each edge of the selected node, take the edge with the minimum weight, which points to a node that is not visited. In our case, we get the edge from A to C. Then mark C as visited and save that edge as part of the MST:

    Prim Step 2: Select the minimum...