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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

Modeling graphs using F#


A graph can be modelled in multiple ways. For instance, we can simply represent it as a collection of vertices and edges. Alternatively, it can be defined as a set of tuples containing a vertex and a set of corresponding edges. In either approach, we have to consider space-time trade-off. For example, in order to effectively represent a graph where paths can be determined quickly, we can build a data structure, which encapsulates the set of vertices and edges. However, this will result in an exponential growth of the space proportional to the square of the number of vertices.

Now, we will show one approach to model a graph in F#. The individual constructs defined here, as well as the complete code listing, can be found in the source code of the book at http://www.packtpub.com/support. In our representation, a graph consists of nodes and edges, as shown in the following code snippet:

type Graph() = 
  let mutable nodes = []
  let mutable edges = []
  member this.Nodes...
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