Book Image

Practical Discrete Mathematics

By : Ryan T. White, Archana Tikayat Ray
Book Image

Practical Discrete Mathematics

By: Ryan T. White, Archana Tikayat Ray

Overview of this book

Discrete mathematics deals with studying countable, distinct elements, and its principles are widely used in building algorithms for computer science and data science. The knowledge of discrete math concepts will help you understand the algorithms, binary, and general mathematics that sit at the core of data-driven tasks. Practical Discrete Mathematics is a comprehensive introduction for those who are new to the mathematics of countable objects. This book will help you get up to speed with using discrete math principles to take your computer science skills to a more advanced level. As you learn the language of discrete mathematics, you’ll also cover methods crucial to studying and describing computer science and machine learning objects and algorithms. The chapters that follow will guide you through how memory and CPUs work. In addition to this, you’ll understand how to analyze data for useful patterns, before finally exploring how to apply math concepts in network routing, web searching, and data science. By the end of this book, you’ll have a deeper understanding of discrete math and its applications in computer science, and be ready to work on real-world algorithm development and machine learning.
Table of Contents (17 chapters)
1
Part I – Basic Concepts of Discrete Math
7
Part II – Implementing Discrete Mathematics in Data and Computer Science
12
Part III – Real-World Applications of Discrete Mathematics

Solving small linear systems with Gaussian elimination

In this section, we will learn how to solve an n-by-n linear system of equations Ax = b, if possible, through a method called Gaussian elimination, which we will do by hand for a small problem. In the next section, we implement it with Python.

We will explain through an example of a 3-by-3 system, which should make the idea clear for larger systems, which we will formalize at the end of the section, and which we will prefer to solve with code.

First, notice that there are several manipulations we may do to the equation in the system without changing the solutions:

  • We can switch the order of the equations, which corresponds to swapping the rows of the matrix [A|b].
  • We can multiply both sides of an equation by a constant, which corresponds to multiplying a row of [A|b] by a constant.
  • We can add a multiple of one equation to another equation, which corresponds to adding a multiple of one row of [A|b] to another...