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Learning JavaScript Data  Structures and Algorithms

You're reading from   Learning JavaScript Data Structures and Algorithms Write complex and powerful JavaScript code using the latest ECMAScript

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Product type Paperback
Published in Apr 2018
Publisher Packt
ISBN-13 9781788623872
Length 426 pages
Edition 3rd Edition
Languages
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Author (1):
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Loiane Avancini Loiane Avancini
Author Profile Icon Loiane Avancini
Loiane Avancini
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Table of Contents (17) Chapters Close

Preface 1. JavaScript – A Quick Overview FREE CHAPTER 2. ECMAScript and TypeScript Overview 3. Arrays 4. Stacks 5. Queues and Deques 6. Linked Lists 7. Sets 8. Dictionaries and Hashes 9. Recursion 10. Trees 11. Binary Heap and Heap Sort 12. Graphs 13. Sorting and Searching Algorithms 14. Algorithm Designs and Techniques 15. Algorithm Complexity 16. Other Books You May Enjoy

Why use recursion? Is it faster?


Let’s run a benchmark between the three different fibonacci functions we wrote in this chapter:

The Iterative version is much faster than the Recursive versions, so this means recursion is slower. However, take another look at the code of the three different versions. Recursion is easier to understand, and it usually requires less code as well. Also, for some algorithms, an Iterative solution may not even be available, and with tail call elimination, the recursion penalty may even be removed.

So, we usually use recursion because it is easier to solve problems using it.

Note

The fibonacci function tests are available at https://jsperf.com/fibonacci-comparison-jsbook.

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