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

Counting permutations and combinations of objects

This section is dedicated to counting orderings, or permutations, of objects in a set, as well as subsets of specified cardinalities, or combinations, of elements of some wider set.

Definition – permutation

A permutation is a rearrangement of the elements of a set.

Example – permutations of a simple set

For the set {1, 2, 3}, the set of all permutations is {123, 132, 213, 231, 312, 321}, so there are six permutations of this set. Certainly, there is nothing special about elements 1, 2, and 3. Any set of three distinct elements would have the same number of permutations.

As you might suspect, however, listing permutations becomes more and more cumbersome for larger sets, so we need a rule for counting them more efficiently.

Theorem – permutations of a set

The number of permutations of a set of size n is n! = n(n – 1)(n – 2)…(2)(1), which is pronounced n factorial.

Proof...