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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

Tackling NP-hard problems

NP-hard problems were extensively discussed in Chapter 4, Designing Algorithms. Some NP-hard problems are important and we need to design algorithms to solve them.

If finding the solution for an NP-hard problem seems out of reach due to its complexity or the limitations of the available resources, we can take one of these approaches:

  • Simplifying the problem

  • Customizing a well-known solution to a similar problem

  • Using a probabilistic method

Let's look into them one by one.

Simplifying the problem 

We can simplify the problem based on certain assumptions. The solved problem still gives a solution that is not perfect but is still insightful and useful. For this to work...

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