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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

Navigating the tree


Consider the tree in the following figure. Our objective is to traverse the tree, that is, iterate through the nodes. There are several different approaches to do so but some of the most common ones are in-order, post-order, and pre-order traversal:

In the in-order traversal, we start from the root node and traverse to left subtree, and then we visit the root node and then traverse to right subtree as seen in the following. The nodes are traversed in this order: A, B, C, D, …, H, I:

An in-order traversal algorithm can be implemented in F# as the following recursive function. In this function, we utilize the power of sequences, and the match expressions to implement the in-order traversal algorithm:

type Tree<'a> =
  | Tree of 'a * Tree<'a> * Tree<'a>
  | Leaf of 'a

let rec inorder tree =
  seq {
    match tree with
      | Tree(x, left, right) ->
      yield! inorder left
      yield x
      yield! inorder right
   | Leaf x -> yield x
  }

As you have...

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