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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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Toc

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

Finding the minimal path sum


The problem provides an 80 x 80 matrix in a text file, allowing traversal from the top left to the bottom right by only moving right and down.

As we discussed above, Dijkstra has one cost function which helps to find the shortest path from the source node to every other node by considering only the real cost (in contrast with A* heuristic). In order to solve the matrix problem, let's see how the graph implementation helps us.

First of all we will iterate through the matrix file and read the comma-delimited costs in the array. You can see the implementation in the following code snippet:

let weights = File.ReadAllLines("matrix.txt")
  |> Array.map(fun line -> line.Split(',') |> Array.map int32)
let matrixHeight = weights.Length;
let matrixWidth = weights.[0].Length;

As in the graph type described above, let's declare a node. A node consists of a list of coordinates (2D) for the matrix coordinates and the parent node, as well as the cost (weight).

type Node...
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