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F# 4.0 Design Patterns

You're reading from   F# 4.0 Design Patterns Solve complex problems with functional thinking

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Product type Paperback
Published in Nov 2016
Publisher Packt
ISBN-13 9781785884726
Length 318 pages
Edition 1st Edition
Languages
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Author (1):
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Gene Belitski Gene Belitski
Author Profile Icon Gene Belitski
Gene Belitski
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Table of Contents (14) Chapters Close

Preface 1. Begin Thinking Functionally 2. Dissecting F# Origins and Design FREE CHAPTER 3. Basic Functions 4. Basic Pattern Matching 5. Algebraic Data Types 6. Sequences - The Core of Data Processing Patterns 7. Advanced Techniques: Functions Revisited 8. Data Crunching – Data Transformation Patterns 9. More Data Crunching 10. Type Augmentation and Generic Computations 11. F# Expert Techniques 12. F# and OOP Principles/Design Patterns 13. Troubleshooting Functional Code

The notion of function in F#


Let's begin with an intuitive definition of a function that many of us heard in school algebra class: function is a relationship that for each valid input yields a single consistent result. Such definition is a good enough to reflect both the commonality and the difference of functions and relations. In mathematics, a function is a relation, although not each relation is a function, as a relation may represent multiple results for the same single input. In the following figure, relation Rij on the left side is just fine for the representation of a function, as any item from set I maps to the one and only one item of set J. However, relation Rxy on the right side of the same figure cannot represent a function as at least one item of X exists, which maps to more than one item of Y, which is indicated by red mapping arrows.

Relations and functions

Another very important matter is the mapping consistency. Any function, when being repeatedly given the same input must...

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