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Learning F# Functional Data Structures and Algorithms

You're reading from   Learning F# Functional Data Structures and Algorithms Get started with F# and explore functional programming paradigm with data structures and algorithms

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Product type Paperback
Published in Jun 2015
Publisher Packt
ISBN-13 9781783558476
Length 206 pages
Edition 1st Edition
Languages
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Author (1):
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Adnan Masood Adnan Masood
Author Profile Icon Adnan Masood
Adnan Masood
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Table of Contents (12) Chapters Close

Preface 1. Embrace the Truth FREE CHAPTER 2. Now Lazily Get Over It, Again 3. What's in the Bag Anyway? 4. Are We There Yet? 5. Let's Stack Up 6. See the Forest for the Trees 7. Jumping the Queue 8. Quick Boost with Graph 9. Sets, Maps, and Vectors of Indirections 10. Where to Go Next? Index

The binary search tree


One of the most popular forms of trees in computer science is the binary tree. As the name indicates, a binary tree is a tree in which every node has either zero, one or, at the most, two child nodes. A binary tree is also sometimes referred to as a binary search tree; however, they are different as we show you next.

For example, you can see a binary tree in the diagram that follows, a tree where every node has at most two children:

In a binary search tree, the left child node contains only the nodes with values which are less than the parent node. Similarly, the right child node can only contain nodes with values greater than or equal to the parent node as shown in the following figure:

In F#, there are various ways of representing a binary tree. For example, a discriminated union-based binary tree of strings can be written as follows:

type tree = 
  |Leaf of string 
  |Node of tree * tree

And a generic version can be as follows:

type tree<'a> = 
  |Leaf of 'a
  ...
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