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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 search tree ADT


A binary search tree (BST) is a sorted binary tree, where we can easily search for any key using the binary search algorithm. To sort the BST, it has to have the following properties:

  • The node's left subtree contains only a key that's smaller than the node's key
  • The node's right subtree contains only a key that's greater than the node's key
  • You cannot duplicate the node's key value

By having the preceding properties, we can easily search for a key value as well as find the maximum or minimum key value. Suppose we have the following BST:

As we can see in the preceding tree diagram, it has been sorted since all of the keys in the root's left subtree are smaller than the root's key, and all of the keys in the root's right subtree are greater than the root's key. The preceding BST is a balanced BST since it has a balanced left and right subtree. We also can define the preceding BST as a balanced BST since both the left and right subtrees have an equal height (we...

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