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Learning JavaScript Data Structures and Algorithms

You're reading from   Learning JavaScript Data Structures and Algorithms Hone your skills by learning classic data structures and algorithms in JavaScript

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Product type Paperback
Published in Jun 2016
Publisher Packt
ISBN-13 9781785285493
Length 314 pages
Edition 2nd 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 (13) Chapters Close

Preface 1. JavaScript—A Quick Overview FREE CHAPTER 2. Arrays 3. Stacks 4. Queues 5. Linked Lists 6. Sets 7. Dictionaries and Hashes 8. Trees 9. Graphs 10. Sorting and Searching Algorithms 11. Patterns of Algorithm 12. Algorithm Complexity

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 before 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 that stores the element itself and also a reference (also known as a pointer or link) that points to the next element....

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