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Swift Data Structure and Algorithms

You're reading from   Swift Data Structure and Algorithms Implement Swift structures and algorithms natively

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Product type Paperback
Published in Nov 2016
Publisher Packt
ISBN-13 9781785884504
Length 286 pages
Edition 1st Edition
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Author (1):
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Mario Eguiluz Alebicto Mario Eguiluz Alebicto
Author Profile Icon Mario Eguiluz Alebicto
Mario Eguiluz Alebicto
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Table of Contents (10) Chapters Close

Preface 1. Walking Across the Playground FREE CHAPTER 2. Working with Commonly Used Data Structures 3. Standing on the Shoulders of Giants 4. Sorting Algorithms 5. Seeing the Forest through the Tree 6. Advanced Searching Methods 7. Graph Algorithms 8. Performance and Algorithm Efficiency 9. Choosing the Perfect Algorithm

A look at several substring search algorithms


In software programming, it is very common to find a situation where we need to search for the occurrences of a specific pattern of characters in a bigger text. We are going to see some types of search algorithm that will help us with this task.

In order to explain them, first we are going to specify some assumptions:

  • The text is defined as an array T[1..n], with length n, which contains chars.

  • The pattern that we are searching for is defined as an array P[1..m], with length m and m <= n.

  • Where the pattern P exists in T, we call it shift s in T. In other words, the pattern P occurs in the s+1 position of the T array. So, this also implies that [1 < s < m-n] and also T[s+1 .. s+m] = P[1 .. m].

Look at the following figure to understand these concepts better:

Text, pattern, and shift example

The objective of every string matching algorithm is to find the different s positions in the text, T.

Substring search algorithm examples

Let's take a look...

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