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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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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

Binary numbers

We use a List[Int] to represent binary numbers, a list of 0's and 1's. If you pass in a list that has any other numbers except 0 or 1, the algorithms will throw an exception.

Before we look at the summation and multiplication operations, let's look at how to handle the carry operation. For example, when you add 1 to 1011 (decimal 11), you get 1100 (decimal 12). Here is how a carry is propagated:

Binary numbers

Before we try modeling the binary numbers as a list, there is a caveat we need to be aware of!

We write a binary number from left to right. In other words, the most significant bit is at the leftmost and the least significant bit of a binary number is at the rightmost.

To add a carry, we typically start from the right; however, as we have already seen, for a list, that would be the tail. Working on a list tail is expensive. Instead, we want to work at the head of the list and express operations using list prepend. This means we need to reverse the list so we can both...

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