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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 FREE CHAPTER 2. Dissecting F# Origins and Design 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

A deep dive into recursion


I've already scratched the surface of recursion in Chapter 3, Basic Functions, showing how the rec modifier changes the scoping of the function definition. This explicit indication allows the function to reference itself before the function body is fully defined. Now I'll show you how recursion can be employed in the right or wrong way so that you can learn to follow the right recursion pattern.

Tail recursion

I would not be breaking new ground by pointing out that a function, recursive or not, as it is implemented these days, consumes a certain amount of resources for local values, argument values, and so forth. A non-recursive function consumes these resources upon being called and releases them upon returning the result. So far, so good.

But what happens when the function calls itself? Each nested call can stash local resources to be released when this particular level of recursion is done. Hence, a deep recursion may temporarily increase resource consumption....

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