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Learning Functional Data Structures and Algorithms

You're reading from   Learning Functional Data Structures and Algorithms Learn functional data structures and algorithms for your applications and bring their benefits to your work now

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Product type Paperback
Published in Feb 2017
Publisher Packt
ISBN-13 9781785888731
Length 318 pages
Edition 1st Edition
Languages
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Authors (2):
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Raju Kumar Mishra Raju Kumar Mishra
Author Profile Icon Raju Kumar Mishra
Raju Kumar Mishra
Atul S. Khot Atul S. Khot
Author Profile Icon Atul S. Khot
Atul S. Khot
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Table of Contents (14) Chapters Close

Preface 1. Why Functional Programming? 2. Building Blocks FREE CHAPTER 3. Lists 4. Binary Trees 5. More List Algorithms 6. Graph Algorithms 7. Random Access Lists 8. Queues 9. Streams, Laziness, and Algorithms 10. Being Lazy - Queues and Deques 11. Red-Black Trees 12. Binomial Heaps 13. Sorting

Verifying the transformation


In-order traversal of a BST is a recursive traversal algorithm. It visits the BST tree nodes in a predefined order and always prefers to visit the left child first, then the parent itself, and finally the right child.

As you probably know, the visiting order is also the sorted order. If we put the values in an array as shown in the diagram, we get all the values sorted:

This traversal comes as a very useful tool to understand rotations. We can transform the tree, provided the in-order traversal visits the nodes in the same way.

The preceding diagram shows our right, left tree rotation. The numbers mark the order in which an in-order traversal would visit nodes.

The right-side-transformed tree also yields the nodes in the same order when traversed in an in-order fashion.

Drawing other rotations and verifying them in the same fashion will help you better understand the concept of rotations.

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