Overview
- Presents a hands-on, classroom-tested study guide suitable for laboratory practical training and self-study
- Provides an extensive set of exercises and examples of different levels of complexity
- Offers detailed solutions to many problems, applying commonly-used methods and computational schemes
- Updated second edition, now covering the design and analysis of algorithms using Python, and featuring more than 50 new exercises with solutions
Part of the book series: Texts in Computer Science (TCS)
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Table of contents (13 chapters)
Keywords
About this book
This practically-focused study guide introduces the fundamentals of discrete mathematics through an extensive set of classroom-tested problems. Each chapter presents a concise introduction to the relevant theory, followed by a detailed account of common challenges and methods for overcoming these. The reader is then encouraged to practice solving such problems for themselves, by tackling a varied selection of questions and assignments of different levels of complexity.
This updated second edition now covers the design and analysis of algorithms using Python, and features more than 50 new problems, complete with solutions.
This hands-on workbook is an invaluable resource for undergraduate students of computer science, informatics, and electronic engineering. Suitable for use in a one- or two-semester course on discrete mathematics, the text emphasizes the skills required to develop and implement an algorithm in a specific programming language.
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Authors and Affiliations
About the authors
Dr. Sergei Borzunov is an Associate Professor at the same institution.
Bibliographic Information
Book Title: The Discrete Math Workbook
Book Subtitle: A Companion Manual Using Python
Authors: Sergei Kurgalin, Sergei Borzunov
Series Title: Texts in Computer Science
DOI: https://doi.org/10.1007/978-3-030-42221-9
Publisher: Springer Cham
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer Nature Switzerland AG 2020
Hardcover ISBN: 978-3-030-42220-2Published: 12 August 2020
eBook ISBN: 978-3-030-42221-9Published: 12 August 2020
Series ISSN: 1868-0941
Series E-ISSN: 1868-095X
Edition Number: 2
Number of Pages: XVII, 500
Number of Illustrations: 314 b/w illustrations, 19 illustrations in colour
Topics: Discrete Mathematics in Computer Science, Algorithm Analysis and Problem Complexity, Discrete Mathematics, The Computing Profession