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C++ Data Structures and Algorithms

You're reading from   C++ Data Structures and Algorithms Learn how to write efficient code to build scalable and robust applications in C++

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Product type Paperback
Published in Apr 2018
Publisher Packt
ISBN-13 9781788835213
Length 322 pages
Edition 1st Edition
Languages
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Author (1):
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Wisnu Anggoro Wisnu Anggoro
Author Profile Icon Wisnu Anggoro
Wisnu Anggoro
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Table of Contents (10) Chapters Close

1. Learning Data Structures and Algorithms in C++ FREE CHAPTER 2. Storing Data in Lists and Linked Lists 3. Constructing Stacks and Queues 4. Arranging Data Elements Using a Sorting Algorithm 5. Finding out an Element Using Searching Algorithms 6. Dealing with the String Data Type 7. Building a Hierarchical Tree Structure 8. Associating a Value to a Key in a Hash Table 9. Implementation of Algorithms in Real Life 10. Other Books You May Enjoy

Building a binary heap ADT


A binary heap is a completely binary tree that is usually used to implement a priority queue. Please look at the following binary tree which is representing the priority queue:

As we can see, each node has its own key and there's also a number below each node to indicate the priority of the element (in this example, the maximum element has higher priority). The priority queue is usually represented in an array, so we can have the following array as a representation of the preceding priority queue tree:

To create a binary heap in C++, we will have the heapSize variable, which will be increased when an element is inserted and will be decreased when an element is removed. There are four basic operations in a priority queue, and they are as follows:

  • IsEmpty() is used to check whether the queue is empty
  • Insert(), similar to the Enqueue() operation in a Queue data structure, is used to insert a new element into the queue
  • GetMax(), similar to the Peek() operation in a Queue...
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