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Learning F# Functional Data Structures and Algorithms

You're reading from   Learning F# Functional Data Structures and Algorithms Get started with F# and explore functional programming paradigm with data structures and algorithms

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Product type Paperback
Published in Jun 2015
Publisher Packt
ISBN-13 9781783558476
Length 206 pages
Edition 1st Edition
Languages
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Author (1):
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Adnan Masood Adnan Masood
Author Profile Icon Adnan Masood
Adnan Masood
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Toc

Table of Contents (12) Chapters Close

Preface 1. Embrace the Truth FREE CHAPTER 2. Now Lazily Get Over It, Again 3. What's in the Bag Anyway? 4. Are We There Yet? 5. Let's Stack Up 6. See the Forest for the Trees 7. Jumping the Queue 8. Quick Boost with Graph 9. Sets, Maps, and Vectors of Indirections 10. Where to Go Next? Index

Abstract syntax trees


Abstract syntax trees (AST) are the tree representations of the symbolic expressions in programming languages. F# can provide an elegant representation of symbolic expressions as trees. In order to evaluate an expression tree, we need to traverse it in post-order. A simple expression tree for the statement can be represented as follows:

Like the mathematical expression tree (a specialized abstraction syntax tree) in the preceding example, an expression in a programming language is typically composed of variables and operators.

type expression =
  | Integer of int
  | Var of string 
  | Addition of expression * expression 
  | Multiply of expression * expression ;;

Therefore, the expression tree for the statement can be represented as follows:

type expression =
  | Integer of int
  | Var of string 
  | Addition of expression * expression
  | Multiply of expression * expression;;

let expr = Addition (Multiply(Integer 2, Integer 3), Integer 1)

F# does not have a built...

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