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Learning Functional Data Structures and Algorithms

You're reading from   Learning Functional Data Structures and Algorithms Learn functional data structures and algorithms for your applications and bring their benefits to your work now

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Product type Paperback
Published in Feb 2017
Publisher Packt
ISBN-13 9781785888731
Length 318 pages
Edition 1st Edition
Languages
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Authors (2):
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Raju Kumar Mishra Raju Kumar Mishra
Author Profile Icon Raju Kumar Mishra
Raju Kumar Mishra
Atul S. Khot Atul S. Khot
Author Profile Icon Atul S. Khot
Atul S. Khot
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Toc

Table of Contents (14) Chapters Close

Preface 1. Why Functional Programming? FREE CHAPTER 2. Building Blocks 3. Lists 4. Binary Trees 5. More List Algorithms 6. Graph Algorithms 7. Random Access Lists 8. Queues 9. Streams, Laziness, and Algorithms 10. Being Lazy - Queues and Deques 11. Red-Black Trees 12. Binomial Heaps 13. Sorting

Bubble sort

Bubble sort is one of the simplest and oldest algorithms. Each element is compared with the next element. If neither of the elements are in order, then the elements are swapped. Every element of the sequence is visited.

A water bubble moves to the surface. Does this have any relation with bubble sort? The simplicity of the bubble sort algorithm makes it the starting point to learn a sorting algorithm. Bubble sort is stable as two elements of equal values are never swapped with each other.

We are going to implement all the algorithm in persistent way. You might be thinking that, what is the meaning of persistant data structure? Persistent data structure always maintains its previous version after modification. We are going to use another concept, that is structural sharing. In order to understand structural sharing consider following code example:

scala> val sl = List('c','e','g')
sl: List[Char] = List(c, e, g)
scala> val asl = 'a':...
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