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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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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

Memoization with Fibonacci

Like factorials, Fibonacci is another one of those easy-to-explain problem statements that can be used to demonstrate a language's capabilities in a simple and easy to understand manner. A Fibonacci series is written as follows:

Memoization with Fibonacci

It can also be written as a recurrence:

Memoization with Fibonacci
Memoization with Fibonacci
Memoization with Fibonacci
Memoization with Fibonacci
Memoization with Fibonacci

Now that you know what factorials are, a recursive Fibonacci implementation comes very naturally as follows:

let rec fibonacci n =
  if n <= 2 then 1
  else fibonacci (n - 1) + fibonacci (n - 2)

However, based on the earlier factorial solution, you quickly realize that this is indeed not tail-optimized, and will result in a stack overflow. This is due to pushing of pointers in the stack. Applying the same pattern as for the factorial, by using an external function fibonacci and internal recursive function fibonacci_TailRecursive, the resulting tail-optimized method can be written as follows:

let fibonacci_TailRecursive n = 
    let rec fibonacciX (n, x, y) =
       if (n = 0I) then x
       else...
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