The Discrete Math Workbook
Springer International Publishing (Verlag)
978-3-030-42220-2 (ISBN)
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.
Dr. Sergei Kurgalin is a Professor and Head of the Department of Digital Technologies at Voronezh State University, Russia. Dr. Sergei Borzunov is an Associate Professor at the same institution.
Fundamentals of Mathematical Logic.- Set Theory.- Relations and Functions.- Combinatorics.- Graphs.- Boolean Algebra.- Complex Numbers.- Recurrence Relations.- Concept of an Algorithm, Correctness of Algorithms.- Turing Machine.- Asymptotic Analysis.- Basic Algorithms.- Parallel Algorithms.
"The content is pretty comprehensive. ... The writing is well-done and the text is nicely edited. ... it could be very effectively used for self-study. The discovery aspect of problems and solutions can be much more engaging than straight forward reading of text. The reader is also able to build up their knowledge, starting with the problems with short answers and moving to those that are more involved with proofs or longer solutions." (Tricia Muldoon Brown, MAA Reviews, September 20, 2021)
“The content is pretty comprehensive. … The writing is well-done and the text is nicely edited. … it could be very effectively used for self-study. The discovery aspect of problems and solutions can be much more engaging than straight forward reading of text. The reader is also able to build up their knowledge, starting with the problems with short answers and moving to those that are more involved with proofs or longer solutions.” (Tricia Muldoon Brown, MAA Reviews, September 20, 2021)
Erscheinungsdatum | 17.08.2020 |
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Reihe/Serie | Texts in Computer Science |
Zusatzinfo | XVII, 500 p. 333 illus., 19 illus. in color. |
Verlagsort | Cham |
Sprache | englisch |
Maße | 155 x 235 mm |
Gewicht | 939 g |
Themenwelt | Mathematik / Informatik ► Informatik ► Theorie / Studium |
Mathematik / Informatik ► Mathematik | |
Schlagworte | Algorithm Analysis • Algorithm analysis and problem complexity • Boolean algebra • Discrete Mathematics • problem complexity • set theory |
ISBN-10 | 3-030-42220-8 / 3030422208 |
ISBN-13 | 978-3-030-42220-2 / 9783030422202 |
Zustand | Neuware |
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