Active Applied Discrete Structures consists of a collection of reading assignments designed for use in a "flipped" class format using Applied Discrete Structures (http: //discretemath.org).
... Lagu • Kendra Lansing • Gregory Lawrence • Pearl Laxague • Kevin Le • Matt LeBlanc • Maxwell Leduc • Ariel Leva • Robert Liana • Tammy Liu • Laura Lucaciu • Andrew Magee • Matthew Malone • Logan Mann • Sam Marquis • Amy Mazzucotelli ...
Applied structure is completely based on set theory, mathematical logic, Boolean algebra, lattice theory, counting theory, properties of integers, discrete numeric function and generating relations, graph theory, trees and cuts sales, ...
Note: This is a custom edition of Levin's full Discrete Mathematics text, arranged specifically for use in a discrete math course for future elementary and middle school teachers. (It is NOT a new and updated edition of the main text.)This ...
Although This Book Is Intended As A Sequel To Foundations Of Discrete Mathematics By The Same Author, It Can Be Read Independently Of The Latter, As The Relevant Background Needed Has Been Reviewed In Chapter 1.
Discrete Structures: An Introduction to Mathematics for Computer Science
DISCRETE MATHEMATICS WITH APPLICATIONS, 5th Edition, Metric Edition explains complex, abstract concepts with clarity and precision and provides a strong foundation for computer science and upper-level mathematics courses of the computer age ...
This book is a clear and self-contained introduction to discrete mathematics.
Topics covered in this book include: the propositional calculus, operations on sets, basic counting methods, predicate calculus, relations, graphs, functions, and mathematical induction.
An increasing number of computer scientists from diverse areas are using discrete mathematical structures to explain concepts and problems and this mathematics text shows you how to express precise ideas in clear mathematical language.
This concise, readable book provides a sampling of the very large, active, and expanding field of artificial neural network theory.