Description
The Discrete Math Workbook (2nd Ed., 2nd ed. 2020)
A Companion Manual Using Python
Texts in Computer Science Series
Authors: Kurgalin Sergei, Borzunov Sergei
Language: EnglishSubjects for The Discrete Math Workbook:
Approximative price 84.39 €
In Print (Delivery period: 15 days).
Add to cart the book of Kurgalin Sergei, Borzunov Sergei500 p. · 15.5x23.5 cm · Hardback
Description
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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.
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
Dr. Sergei Borzunov is an Associate Professor at the same institution.
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