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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 balanced BST (AVL) ADT


As we discussed earlier in the Building a binary search tree ADT section, it's possible to have a skewed tree (either left or right) and cause the time complexity of several operations to become slow for O(h), where h is the height of the tree. In this section, we are going to discuss a balanced binary search tree to ensure that we won't get a skewed tree. There are several implementations needed to create a balanced BST. However, we will only focus on the AVL tree, which was invented by Adelson-Velskii and Landis in 1962, and is named after the inventors.

To make a balanced BST, we have to know the height of each node in the tree. So, we need to modify the BSTNode class by adding a new property named Height, as follows:

class BSTNode
{
public:
    int Key;
    BSTNode * Left;
    BSTNode * Right;
    BSTNode * Parent;
int Height;
};

This new property is used to track the height of each node. We will also create a new method to fetch the height of a node, which...

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