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Functional C#

You're reading from   Functional C# Uncover the secrets of functional programming using C# and change the way you approach your applications

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Product type Paperback
Published in Dec 2016
Publisher Packt
ISBN-13 9781785282225
Length 370 pages
Edition 1st Edition
Languages
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Author (1):
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Wisnu Anggoro Wisnu Anggoro
Author Profile Icon Wisnu Anggoro
Wisnu Anggoro
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Table of Contents (12) Chapters Close

Preface 1. Tasting Functional Style in C# 2. Walkthrough Delegates FREE CHAPTER 3. Expressing Anonymous Methods with Lambda Expressions 4. Extending Object Functionality with Extension Methods 5. Querying Any Collection Easily with LINQ 6. Enhancing the Responsiveness of the Functional Program with Asynchronous Programming 7. Learning Recursion 8. Optimizing the Code using Laziness and Caching Techniques 9. Working with Pattern 10. Taking an Action in C# Functional Programming 11. Coding Best Practice and Testing the Functional Code

Caching expensive resources

Sometimes, we have to create an expensive resource in our program. It's not a problem if we only do it once. It will be a big problem if we do it over and over for the same function. Fortunately, in a functional approach, we will get the same output if we pass the exact same input or arguments. We can then cache this expensive resource and use it again when the passed argument is the same. Now we are going to discuss precomputation and memoization in order to cache the resources.

Performing initial computation

One of the caching techniques we have is precomputation, which performs an initial computation in order to create a lookup table. This lookup table is used to avoid repetitive computation when a particular process is executed. Now we are going to create code to compare the difference in the process with and without precomputation. Let's take a look at the following code, which we can find in the Precomputation.csproj project:

public partial class...
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