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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

Summary

In this chapter, we covered big O notation and also discussed how we can calculate the complexity of an algorithm by applying this concept. We introduced the NP-completeness theory, a concept that you can delve into if you are interested in learning more about solving impossible problems and using heuristics for an approximately satisfactory solution.

We also presented some websites on which you can register for free, apply all the knowledge you acquired while reading this book, and even be offered your first job in IT!

Happy coding!

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