東華大學圖書館 |

Language: English

Help

回圖書館首頁

手機版館藏查詢

Back

Switch To: Labeled | MARC Mode | ISBD

The discrete math workbook = a compa...

Kurgalin, Sergei.

Linked to FindBook

Google Book

Amazon

博客來

The discrete math workbook = a companion manual using python /

Record Type:	Electronic resources : Monograph/item
Title/Author:	The discrete math workbook/ by Sergei Kurgalin, Sergei Borzunov.
Reminder of title:	a companion manual using python /
Author:	Kurgalin, Sergei.
other author:	Borzunov, Sergei.
Published:	Cham :Springer International Publishing : : 2020.,
Description:	xvii, 500 p. :ill., digital ;24 cm.
[NT 15003449]:	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.
Contained By:	Springer Nature eBook
Subject:	Computer science - Mathematics. -
Online resource:	https://doi.org/10.1007/978-3-030-42221-9
ISBN:	9783030422219

The discrete math workbook = a companion manual using python /
Kurgalin, Sergei.

The discrete math workbooka companion manual using python /[electronic resource] :by Sergei Kurgalin, Sergei Borzunov. - Second edition. - Cham :Springer International Publishing :2020. - xvii, 500 p. :ill., digital ;24 cm. - Texts in computer science,1868-0941. - Texts in computer science..

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.

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. Topics and features: Provides a substantial collection of problems and examples of varying levels of difficulty, suitable for both laboratory practical training and self-study Offers detailed solutions to each problem, 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 Turing machines, 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 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.

ISBN: 9783030422219

Standard No.: 10.1007/978-3-030-42221-9doiSubjects--Topical Terms:

532725
Computer science
--Mathematics.

LC Class. No.: QA76.9.M35

Dewey Class. No.: 004.151

The discrete math workbook = a companion manual using python /
LDR:03290nmm a2200361 a 4500 001 2255744
003 DE-He213
005 20200811234113.0
006 m d
007 cr nn 008maaau
008 220420s2020 sz s 0 eng d
020 $a 9783030422219 $q (electronic bk.)
020 $a 9783030422202 $q (paper)
024 7 $a 10.1007/978-3-030-42221-9 $2 doi
035 $a 978-3-030-42221-9
040 $a GP $c GP
041 0 $a eng
050 4 $a QA76.9.M35
072 7 $a PBD $2 bicssc
072 7 $a COM018000 $2 bisacsh
072 7 $a PBD $2 thema
072 7 $a UYAM $2 thema
082 0 4 $a 004.151 $2 23
090 $a QA76.9.M35 $b K96 2020
100 1 $a Kurgalin, Sergei. $3 3338163
245 1 4 $a The discrete math workbook $h [electronic resource] : $b a companion manual using python / $c by Sergei Kurgalin, Sergei Borzunov.
250 $a Second edition.
260 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2020.
300 $a xvii, 500 p. : $b ill., digital ; $c 24 cm.
490 1 $a Texts in computer science, $x 1868-0941
505 0 $a 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.
520 $a 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. Topics and features: Provides a substantial collection of problems and examples of varying levels of difficulty, suitable for both laboratory practical training and self-study Offers detailed solutions to each problem, 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 Turing machines, 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 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.
650 0 $a Computer science $x Mathematics. $3 532725
650 1 4 $a Discrete Mathematics in Computer Science. $3 892513
650 2 4 $a Algorithm Analysis and Problem Complexity. $3 891007
650 2 4 $a Discrete Mathematics. $3 1569938
650 2 4 $a The Computing Profession. $3 895946
700 1 $a Borzunov, Sergei. $3 3338164
710 2 $a SpringerLink (Online service) $3 836513
773 0 $t Springer Nature eBook
830 0 $a Texts in computer science. $3 1567573
856 4 0 $u https://doi.org/10.1007/978-3-030-42221-9
950 $a Computer Science (SpringerNature-11645)