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C++ Data Structures and Algorithms

You're reading from  C++ Data Structures and Algorithms

Product type Book
Published in Apr 2018
Publisher Packt
ISBN-13 9781788835213
Pages 322 pages
Edition 1st Edition
Languages
Author (1):
Wisnu Anggoro Wisnu Anggoro
Profile icon Wisnu Anggoro

Table of Contents (16) Chapters

Title Page
Copyright and Credits
Packt Upsell
Contributors
Preface
1. Learning Data Structures and Algorithms in C++ 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 1. Other Books You May Enjoy Index

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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