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Learning F# Functional Data Structures and Algorithms

Learning F# Functional Data Structures and Algorithms

By : Adnan Masood
4 (9)
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Learning F# Functional Data Structures and Algorithms

Learning F# Functional Data Structures and Algorithms

4 (9)
By: Adnan Masood

Overview of this book

If you have just started your adventure with F#, then this book will help you take the right steps to become a successful F# coder. An intermediate knowledge of imperative programming concepts, and a basic understanding of the algorithms and data structures in .NET environments using the C# language and BCL (Base Class Library), would be helpful.
Table of Contents (12 chapters)
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11
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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Learning F# Functional Data Structures and Algorithms
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