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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 heap sort algorithm


We can use the binary heap data structure to help us create a very famous sorting algorithm: the heap sort. The heap sort algorithm consists of three steps:

  1. Create a max heap using the array to be sorted as the source.
  2. After creating the max heap, the largest value will be stored in the first index of the heap. We will replace the first value with the last value of the heap, decreasing the size of the heap by 1.
  3. Finally, we heapify (sift down) the root of the heap and repeat step 2 until the size of the heap is equal to 1.

We use the max heap results in an array sorted in ascending order (from smallest to biggest). If we want the array to be sorted in descending order, we can use the min heap instead.

The following is the code for the heap sort algorithm:

function heapSort(array, compareFn = defaultCompare) {
  let heapSize = array.length;
  buildMaxHeap(array, compareFn); // step 1
  while (heapSize > 1) {
    swap(array, 0, --heapSize); // step 2
    heapify(array...
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