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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 (22) Chapters Close

Title Page
Dedication
Packt Upsell
Contributors
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 1. Other Books You May Enjoy Index

The binary heap data structure


The binary heap is a special binary tree with the following two properties:

  • It is a complete binary tree, meaning all levels of the tree have both left and right children (with the exception of the last-level leaves), and the last level has all children as left as possible. This is called as shape prop­erty.
  • A binary heap is either a min heap or a max heap. The min heap allows you to quickly extract the minimum value of the tree, and the max heap allows you to quickly extract the maximum value of the tree. All nodes are either greater than or equal to (max heap), or less than or equal to (min heap), each of its child nodes. This is called heap prop­erty.

The following diagram contains some examples of invalid and valid heaps:

Although the binary heap is a binary tree, it is not necessarily a binary search tree (BST). In the binary heap, every child node needs to be greater than or equal to its parent node (min heap) or less than or equal to its parent node (max...

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