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Practical Discrete Mathematics

You're reading from   Practical Discrete Mathematics Discover math principles that fuel algorithms for computer science and machine learning with Python

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Product type Paperback
Published in Feb 2021
Publisher Packt
ISBN-13 9781838983147
Length 330 pages
Edition 1st Edition
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Authors (2):
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Ryan T. White Ryan T. White
Author Profile Icon Ryan T. White
Ryan T. White
Archana Tikayat Ray Archana Tikayat Ray
Author Profile Icon Archana Tikayat Ray
Archana Tikayat Ray
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Table of Contents (17) Chapters Close

Preface 1. Part I – Basic Concepts of Discrete Math
2. Chapter 1: Key Concepts, Notation, Set Theory, Relations, and Functions FREE CHAPTER 3. Chapter 2: Formal Logic and Constructing Mathematical Proofs 4. Chapter 3: Computing with Base-n Numbers 5. Chapter 4: Combinatorics Using SciPy 6. Chapter 5: Elements of Discrete Probability 7. Part II – Implementing Discrete Mathematics in Data and Computer Science
8. Chapter 6: Computational Algorithms in Linear Algebra 9. Chapter 7: Computational Requirements for Algorithms 10. Chapter 8: Storage and Feature Extraction of Graphs, Trees, and Networks 11. Chapter 9: Searching Data Structures and Finding Shortest Paths 12. Part III – Real-World Applications of Discrete Mathematics
13. Chapter 10: Regression Analysis with NumPy and Scikit-Learn 14. Chapter 11: Web Searches with PageRank 15. Chapter 12: Principal Component Analysis with Scikit-Learn 16. Other Books You May Enjoy

Proof by Contradiction

In this section, we will learn about using contradiction for mathematical proofs. Proof by contradiction is a method of proof where you first assume the claim you wish to prove is false, and then prove through a series of logical deductions that this assumption results in a contradictory claim. If this happens, and we have made no errors, this assumption that the claim was false must have been incorrect. Thus, the claim must be true.

While this idea may make sense abstractly and we see the proof method is confirmed by formal logic, the authors believe the method is best demonstrated by examples if you hope to build some intuitive understanding of the approach, learn when it is likely to be effective, and construct your own mathematical proofs.

First, let's review some ideas we all probably learned in primary school. Recall a real number x is called rational if it can be written as a ratio:

Here, a and b ≠ 0 are relatively...

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