Andere Kunden interessierten sich auch für
![Sets, Logic and Maths for Computing]( "Sets, Logic and Maths for Computing")
Sets, Logic and Maths for Computing37,99 €![The Discrete Math Workbook]( "The Discrete Math Workbook")
The Discrete Math Workbook60,99 €![Guide to Discrete Mathematics]( "Guide to Discrete Mathematics")
Guide to Discrete Mathematics39,99 €![Guide to Discrete Mathematics]( "Guide to Discrete Mathematics")
Guide to Discrete Mathematics48,99 €![Guide to Discrete Mathematics]( "Guide to Discrete Mathematics")
Guide to Discrete Mathematics37,99 €![The Discrete Math Workbook]( "The Discrete Math Workbook")
The Discrete Math Workbook68,99 €![Logical Methods]( "Logical Methods")
Logical Methods30,99 €
This textbook can serve as a comprehensive manual of discrete mathematics and graph theory for non-Computer Science majors; as a reference and study aid for professionals and researchers who have not taken any discrete math course before. It can also be used as a reference book for a course on Discrete Mathematics in Computer Science or Mathematics curricula.
The study of discrete mathematics is one of the first courses on curricula in various disciplines such as Computer Science, Mathematics and Engineering education practices.
Graphs are key data structures used to represent networks, chemical structures, games etc. and are increasingly used more in various applications such as bioinformatics and the Internet. Graph theory has gone through an unprecedented growth in the last few decades both in terms of theory and implementations; hence it deserves a thorough treatment which is not adequately found in any other contemporary books on discrete mathematics, whereas about 40% of this textbook is devoted to graph theory.
The text follows an algorithmic approach for discrete mathematics and graph problems where applicable, to reinforce learning and to show how to implement the concepts in real-world applications.
The study of discrete mathematics is one of the first courses on curricula in various disciplines such as Computer Science, Mathematics and Engineering education practices.
Graphs are key data structures used to represent networks, chemical structures, games etc. and are increasingly used more in various applications such as bioinformatics and the Internet. Graph theory has gone through an unprecedented growth in the last few decades both in terms of theory and implementations; hence it deserves a thorough treatment which is not adequately found in any other contemporary books on discrete mathematics, whereas about 40% of this textbook is devoted to graph theory.
The text follows an algorithmic approach for discrete mathematics and graph problems where applicable, to reinforce learning and to show how to implement the concepts in real-world applications.
"This accessible reference book should be well received by undergraduate-level CS, engineering, and mathematics students." (Soubhik Chakraborty, Computing Reviews, July 12, 2022)
"The book under review is an elementary introduction to mathematical logic, set theory, discrete mathematics, number theory, probability theory and graph theory. Its undoubted advantage is its good algorithmic support. ... I would recommend this book to students studying computer science at the bachelor's level." (I. M. Erusalimskiy, zbMATH 1477.68004, 2022)
"The book under review is an elementary introduction to mathematical logic, set theory, discrete mathematics, number theory, probability theory and graph theory. Its undoubted advantage is its good algorithmic support. ... I would recommend this book to students studying computer science at the bachelor's level." (I. M. Erusalimskiy, zbMATH 1477.68004, 2022)