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F# High Performance

You're reading from   F# High Performance Increase your F# programming productivity and focus on performance optimization with best practices, expert techniques, and more

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Product type Paperback
Published in Jan 2017
Publisher Packt
ISBN-13 9781786468079
Length 338 pages
Edition 1st Edition
Languages
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Author (1):
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Eriawan Kusumawardhono Eriawan Kusumawardhono
Author Profile Icon Eriawan Kusumawardhono
Eriawan Kusumawardhono
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Toc

Table of Contents (9) Chapters Close

Preface 1. Performing Common Optimizations in F# FREE CHAPTER 2. Performance Measurement 3. Optimizing Data Structures 4. Introduction to Concurrency in F# 5. Advanced Concurrency Support in F# 6. Optimizing Type Provider 7. Language Features and Constructs Optimization 8. Optimizing Computation Expressions

Optimizing inline functions


F# has features of inline functions since F# 1.9, although the previous version already had it as experimental.

The definition of inline function is quite non-trivial: an inline function is a function that is integrated into the calling code. The word integrated must have a clear context; what kind of integration? It is integrated in the sense that the type is not generalized, but it is compiled accordingly when the inline function is used within other functions. The inline function body is embedded directly. This function embedding will be discussed in detail in the next section.

Before we discuss in-depth about inline functions, let's first examine the background of the importance and relevance of inline functions in the next section.

Background overview of inline functions and related type inferences

To understand this integration, we must know the background of how functions and arguments are evaluated first, especially if the arguments have no type annotation...

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