Essential discrete mathematics for computer science
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Essential discrete mathematics for computer science
Princeton University Press, c2019
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Includes index
Description and Table of Contents
Description
A more intuitive approach to the mathematical foundation of computer science
Discrete mathematics is the basis of much of computer science, from algorithms and automata theory to combinatorics and graph theory. This textbook covers the discrete mathematics that every computer science student needs to learn. Guiding students quickly through thirty-one short chapters that discuss one major topic each, this flexible book can be tailored to fit the syllabi for a variety of courses.
Proven in the classroom, Essential Discrete Mathematics for Computer Science aims to teach mathematical reasoning as well as concepts and skills by stressing the art of proof. It is fully illustrated in color, and each chapter includes a concise summary as well as a set of exercises. The text requires only precalculus, and where calculus is needed, a quick summary of the basic facts is provided.
Essential Discrete Mathematics for Computer Science is the ideal introductory textbook for standard undergraduate courses, and is also suitable for high school courses, distance education for adult learners, and self-study.
The essential introduction to discrete mathematics
Features thirty-one short chapters, each suitable for a single class lesson
Includes more than 300 exercises
Almost every formula and theorem proved in full
Breadth of content makes the book adaptable to a variety of courses
Each chapter includes a concise summary
Solutions manual available to instructors
by "Nielsen BookData"
