This book provides a broad introduction to some of the most fascinating and beautiful areas of discrete mathematical structures. It starts with a chapter on sets and goes on to provide examples in logic, applications of the principle of inclusion and exclusion and finally the pigeonhole principal.
Computational techniques including the principle of mathematical introduction are provided, as well as a study on elementary properties of graphs, trees and lattices. Some basic results on groups, rings, fields and vector spaces are also given, the treatment of which is intentionally simple since such results are fundamental as a foundation for students of discrete mathematics. In addition, some results on solutions of systems of linear equations are discussed.
Pages : | /Paperback: N/A |
Size : | |
File type : | |
Downloads: | 16 |
Created: | 2020-08-29 |
License: | Creative Commons Attribution-ShareAlike 4.0 International License |
Author(s): | Michiel Smid |
Introduction to Probability, Statistics, and Random Processes
Probability and Statistics: A Course for Physicists and Engineers
Download free course The SysAdmin Handbook, pdf file on 514 pages by Various....
The NGINX Real-Time API HandbookDownload free course The NGINX Real-Time API Handbook, pdf file on 26 pages by Karthik Krishnaswamy, Alessandro Fael García....
Coding with Minecraft: Learn to Code by Programming Robots in Minecraft!A hands-on introduction to coding that teaches you how to program bots to do cool things in the game you love - Minecraft! This book takes the robotic "turtle" method, and extends it to the 3D, interactive world of Minecraft....
Embedded Firmware SolutionsEmbedded Firmware Solutions is the perfect introduction and daily-use field guide--for the..., download free Embedded Firmware tutorial in PDF (224 pages) created by Jiming Sun ....
Think Bayes: Bayesian Statistics in PythonIf you know how to program with Python and also know a little about probability, you're ready to tackle Bayesian statistics. With this book, you'll learn how to solve statistical problems with Python code instead of mathematical notation, and use discrete probability distributions instead of conti...
The Future of Software Quality AssuranceDownload free course The Future of Software Quality Assurance, pdf file on 272 pages by Stephan Goericke....
Assembly ProgrammingThis courses provides a brief overview about Assembly programming ,a training file in PDF under 16 pages for download....
How To Code in GoDownload free course How To Code in Go, pdf file on 447 pages by Mark Bates, Cory LaNou, Tim Raymond....
Think BayesDownload free course Think Bayes, pdf file on 213 pages by Allen Downey....
Efficient Learning MachinesDownload free course Efficient Learning Machines, pdf file on 244 pages by Mariette Awad, Rahul Khanna....