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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? FREE CHAPTER 2. Building Blocks 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

Binomial trees

What is a binomial tree? It is a recursively defined tree, as follows:

Binomial trees

The first binomial tree has just one node. Its height is equal to 0. A binomial tree of height 1 is formed from two binomial trees, each of height 0. A binomial tree of height 2 is formed from two binomial trees, each of height 1.

The tree is defined in terms of itself, recursively. For example, the following figure shows two binomial trees of rank 2. When the right tree is pulled up, the left tree becomes its left child. The resulting tree is of rank 3 with 23 = 8 nodes.

The structure is formed by similar smaller structures:

Binomial trees

The definition of binomial trees could also be stated as follows: a binomial tree with rank k is composed of subtrees with rank (k-1). Here is a pictorial way of stating this:

Binomial trees

This forms an important basis for the merging operation, as we will soon see.

You can also look at a binomial tree as a list of binary trees. This is illustrated in the following figure:

Binomial trees

The figure...

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