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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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Toc

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 tree ADT


A binary tree is a hierarchical data structure whose behavior is similar to a tree, as it contains root and leaves (a node that has no child). The root of a binary tree is the topmost node. Each node can have at most two children, which are referred to as the left child and the right child. A node that has at least one child becomes a parent of its child. A node that has no child is a leaf. Please take a look at the following binary tree:

From the preceding binary tree diagram, we can conclude the following:

  • The root of the tree is the node of element 1 since it's the topmost node
  • The children of element 1 are element 2 and element 3
  • The parent of elements 2 and 3 is 1
  • There are four leaves in the tree, and they are element 4, element 5, element 6, and element 7 since they have no child

This hierarchical data structure is usually used to store information that forms a hierarchy, such as a file system of a computer.

To implement the binary in code, we need a data structure...

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