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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? 2. Building Blocks FREE CHAPTER 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

Summary

Sorting is used to solve many complex problems. Sorted data aids searching algorithms too. We discussed some very useful sorting algorithms, such as bubble sort, selection sort, insertion sort, merge sort, and quick sort. Every sorting algorithm has its own complexity.

We discussed bubble sort. Bubble sort is one of the earliest developed sorting algorithms. We implemented it in Scala.

After bubble sort, we moved on to selection sort, where in every pass, a small element is selected and put in a sorted list. Here, we found that in every pass, only one exchange is done, but the number of comparisons will be the number of unsorted elements.

The simplicity of insertion sort touched everyone. It uses two subsequences: one sorted and one unsorted. We take an element from the unsorted subsequence and put it in the sorted subsequence, while maintaining the order of the elements.

Divide and conquer is the most celebrated technique for problem solving. It has been used in sorting algorithms...

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