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40 Algorithms Every Programmer Should Know

You're reading from   40 Algorithms Every Programmer Should Know Hone your problem-solving skills by learning different algorithms and their implementation in Python

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Product type Paperback
Published in Jun 2020
Publisher Packt
ISBN-13 9781789801217
Length 382 pages
Edition 1st Edition
Languages
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Author (1):
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Imran Ahmad Imran Ahmad
Author Profile Icon Imran Ahmad
Imran Ahmad
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Toc

Table of Contents (19) Chapters Close

Preface 1. Section 1: Fundamentals and Core Algorithms
2. Overview of Algorithms FREE CHAPTER 3. Data Structures Used in Algorithms 4. Sorting and Searching Algorithms 5. Designing Algorithms 6. Graph Algorithms 7. Section 2: Machine Learning Algorithms
8. Unsupervised Machine Learning Algorithms 9. Traditional Supervised Learning Algorithms 10. Neural Network Algorithms 11. Algorithms for Natural Language Processing 12. Recommendation Engines 13. Section 3: Advanced Topics
14. Data Algorithms 15. Cryptography 16. Large-Scale Algorithms 17. Practical Considerations 18. Other Books You May Enjoy

Practical application – capacity planning with linear programming

Let's look at a practical use case where linear programming can be used to solve a real-world problem. Let's assume that we want to maximize the profits of a state-of-the-art factory that manufactures two different types of robots:

  • Advanced model (A): This provides full functionality. Manufacturing each unit of the advanced model results in a profit of $4,200.

  • Basic model (B): This only provides basic functionality. Manufacturing each unit of the basic model results in a profit of $2,800.

There are three different types of people needed to manufacture a robot. The exact number of days needed to manufacture a robot of each type are as follows:

Type of Robot Technician AI Specialist Engineer
Robot A: advanced model 3 days 4 days 4 days
Robot B: basic model 2 days 3 days 3 days

 

The...

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