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(Ebook) The Discrete Math Workbook: A Companion Manual for Practical Study by Sergei Kurgalin, Sergei Borzunov ISBN 9783319926445, 3319926446

  • SKU: EBN-23660972
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4.4

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Instant download (eBook) The Discrete Math Workbook: A Companion Manual for Practical Study after payment.
Authors:Sergei Kurgalin, Sergei Borzunov
Pages:485 pages.
Year:2018
Editon:1st ed. 2018
Publisher:Springer Nature
Language:english
File Size:6.56 MB
Format:pdf
ISBNS:9783319926445, 3319926446
Categories: Ebooks

Product desciption

(Ebook) The Discrete Math Workbook: A Companion Manual for Practical Study by Sergei Kurgalin, Sergei Borzunov ISBN 9783319926445, 3319926446

This practically-oriented textbook presents an accessible introduction to discrete mathematics through a substantial collection of classroom-tested exercises. Each chapter opens with concise coverage of the theory underlying the topic, reviewing the basic concepts and establishing the terminology, as well as providing the key formulae and instructions on their use. This is then followed by a detailed account of the most common problems in the area, before the reader is invited to practice solving such problems for themselves through a varied series of questions and assignments.

Topics and features: provides an extensive set of exercises and examples of varying levels of complexity, suitable for both laboratory practical training and self-study; offers detailed solutions to many problems, applying commonly-used methods and computational schemes; introduces the fundamentals of mathematical logic, the theory of algorithms, Boolean algebra, graph theory, sets, relations, functions, and combinatorics; presents more advanced material on the design and analysis of algorithms, including asymptotic analysis, and parallel algorithms; includes reference lists of trigonometric and finite summation formulae in an appendix, together with basic rules for differential and integral calculus.

This hands-on study guide is designed to address the core needs of undergraduate students training in computer science, informatics, and electronic engineering, emphasizing the skills required to develop and implement an algorithm in a specific programming language.

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