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  • Book Overview & Buying Learning F# Functional Data Structures and Algorithms
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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

Graphs


Graphs are one of the fundamental data structures used in computer science to represent complex structured information via a set of edges and vertices. There are several types of graphs used in algorithms including, but not limited to the following:

  • Directed graphs: These are graphs where all edges are directed from one vertex to another

  • Undirected graphs: These are graphs where all edges are bi-directional

  • Weighted graphs: These are graphs with an associated label (or weight) with every edge in the graph

  • Hyper graphs: These are graphs where one edge can connect to multiple vertices

From the computer science point of view, a graph is represented as an abstract data type that constitutes a set of finite nodes and edges.

A graph data structure provides a means to represent these nodes and edges, along with some of the fundamental operations commonly used in graph algorithms. These operations include adding and removing nodes and edges, getting and setting the assigned values of the nodes...

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Learning F# Functional Data Structures and Algorithms
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