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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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Toc

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

Algorithm efficiency

When we need to use an algorithm to solve a problem, the first question is, which algorithm is the best to solve this particular problem? Usually, we can have multiple alternatives that will solve our problem, but we need to choose the best one.

Here is where algorithm efficiency can help us decide which one is a better fit. The efficiency of an algorithm is divided into two main categories:

  • Space analysis: Algorithms use different data structures and temporal variables to achieve their goal. We have seen how sort algorithms and others use structures such as arrays, stacks, queues, trees, sets, and so on. So when memory space is a constraint, space analysis is a critical criterion to check. This requirement was very important in the past, when memory was a big constraint, but it should not be overlooked now. For example, RAM memory in mobile applications is very important.
  • Time analysis: Some algorithms are faster than others. Some algorithms are fast when the input data...
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