Loose Leaf for Discrete Mathematics and Its Applications / Edition 8

Loose Leaf for Discrete Mathematics and Its Applications / Edition 8

by Kenneth H. Rosen
ISBN-10:
1259731286
ISBN-13:
9781259731280
Pub. Date:
07/10/2018
Publisher:
McGraw Hill LLC
ISBN-10:
1259731286
ISBN-13:
9781259731280
Pub. Date:
07/10/2018
Publisher:
McGraw Hill LLC
Loose Leaf for Discrete Mathematics and Its Applications / Edition 8

Loose Leaf for Discrete Mathematics and Its Applications / Edition 8

by Kenneth H. Rosen

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Overview

Rosen's Discrete Mathematics and its Applications presents a precise, relevant, comprehensive approach to mathematical concepts. This world-renowned best-selling text was written to accommodate the needs across a variety of majors and departments, including mathematics, computer science, and engineering. As the market leader, the book is highly flexible, comprehensive and a proven pedagogical teaching tool for instructors. Digital is becoming increasingly important and gaining popularity, crowning Connect as the digital leader for this discipline.


McGraw-Hill Education's Connect, available as an optional, add on item. Connect is the only integrated learning system that empowers students by continuously adapting to deliver precisely what they need, when they need it, how they need it, so that class time is more effective. Connect allows the professor to assign homework, quizzes, and tests easily and automatically grades and records the scores of the student's work. Problems are randomized to prevent sharing of answers and may also have a "multi-step solution" which helps move the students' learning along if they experience difficulty.

Product Details

ISBN-13: 9781259731280
Publisher: McGraw Hill LLC
Publication date: 07/10/2018
Edition description: Student
Pages: 1120
Product dimensions: 8.40(w) x 10.60(h) x 1.40(d)
Age Range: 18 Years

About the Author

Ken Rosen (Middletown, NJ) is a distinguished member of the technical staff at AT & T Labs.

Table of Contents

1) The Foundations: Logic and Proofs

2) Basic Structures: Sets, Functions, Sequences, Sums, Matrices

3) Algorithms

4) Number Theory and Cryptography

5) Induction and Recursion

6) Counting

7) Discrete Probability

8) Advanced Counting Techniques

9) Relations

10) Graphs

11) Trees

12) Boolean Algebra

13) Modeling Computation

Appendices

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