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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

The linked list data structure

Arrays (or lists) are probably the most common data structure used to store a collection of elements. As we mentioned previously in this book, each language has its own implementation of arrays. This data structure is very convenient and provides a handy [] syntax to access its elements. However, this data structure has a disadvantage: the size of the array is fixed (in most languages), and inserting or removing items from the beginning or from the middle of the array is expensive, because the elements need to be shifted over (even though we learned that JavaScript has methods from the Array class that will do that for us; this is what happens behind the scenes as well).

Linked lists store a sequential collection of elements but, unlike arrays, in linked lists the elements are not placed contiguously in memory. Each element consists of a node...

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