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Solutions Manual for Mathematical Structures for Computer Science, Second Edition

Author: Judith L. Gersting
Publisher:
ISBN: 9780716718031
Category : Computer science
Languages : en
Pages : 200

Book Description

Solutions Manual for Mathematical Structures for Computer Science, Second Edition

Author: Judith L. Gersting
Publisher:
ISBN: 9780716718031
Category : Computer science
Languages : en
Pages : 200

Book Description

Solutions Manual for Mathematical Structures for Computer Science

Author: Judith L. Gersting
Publisher:
ISBN: 9780716715030
Category : Mathematics
Languages : en
Pages : 104

Book Description

Mathematical Structures for Computer Science

Author: Judith L. Gersting
Publisher:
ISBN: 9780716713050
Category : Computer science
Languages : en
Pages : 452

Book Description
Computing Curricula 2001 (CC2001), a joint undertaking of the Institute for Electrical and Electronic Engineers/Computer Society (IEEE/CS) and the Association for Computing Machinery (ACM), identifies the essential material for an undergraduate degree in computer science. This Sixth Edition of "Mathematical Structures for Computer Science" covers all the topics in the CC2001 suggested curriculum for a one-semester intensive discrete structures course, and virtually everything suggested for a two-semester version of a discrete structures course. Gersting's text binds together what otherwise appears to be a collection of disjointed topics by emphasizing the following themes: - Importance of logical thinking- Power of mathematical notation- Usefulness of abstractions

Discrete Mathematical Structures for Computer Science

Author: Bernard Kolman
Publisher: Prentice Hall
ISBN:
Category : Computer science
Languages : en
Pages : 488

Book Description
This text has been designed as a complete introduction to discrete mathematics, primarily for computer science majors in either a one or two semester course. The topics addressed are of genuine use in computer science, and are presented in a logically coherent fashion. The material has been organized and interrelated to minimize the mass of definitions and the abstraction of some of the theory. For example, relations and directed graphs are treated as two aspects of the same mathematical idea. Whenever possible each new idea uses previously encountered material, and then developed in such a way that it simplifies the more complex ideas that follow.

Mathematical Structures for Computer Science

Author: Judith L. Gersting
Publisher: W. H. Freeman
ISBN: 9780716768647
Category : Mathematics
Languages : en
Pages : 784

Book Description
Computing Curricula 2001 (CC2001), a joint undertaking of the Institute for Electrical and Electronic Engineers/Computer Society (IEEE/CS) and the Association for Computing Machinery (ACM), identifies the essential material for an undergraduate degree in computer science. This Sixth Edition of Mathematical Structures for Computer Science covers all the topics in the CC2001 suggested curriculum for a one-semester intensive discrete structures course, and virtually everything suggested for a two-semester version of a discrete structures course. Gersting's text binds together what otherwise appears to be a collection of disjointed topics by emphasizing the following themes: • Importance of logical thinking • Power of mathematical notation • Usefulness of abstractions

Discrete Mathematics for New Technology, Second Edition

Author: Rowan Garnier
Publisher: CRC Press
ISBN: 9781420056983
Category : Mathematics
Languages : en
Pages : 786

Book Description
Updated and expanded, Discrete Mathematics for New Technology, Second Edition provides a sympathetic and accessible introduction to discrete mathematics, including the core mathematics requirements for undergraduate computer science students. The approach is comprehensive yet maintains an easy-to-follow progression from the basic mathematical ideas to the more sophisticated concepts examined in the latter stages of the book. Although the theory is presented rigorously, it is illustrated by the frequent use of pertinent examples and is further reinforced with exercises-some with hints and solutions-to enable the reader to achieve a comprehensive understanding of the subject at hand. New to the Second Edition Numerous new examples and exercises designed to illustrate and reinforce mathematical concepts and facilitate students' progression through the topics New sections on typed set theory and an introduction to formal specification Presenting material that is at the foundations of mathematics itself, Discrete Mathematics for New Technology is a readable, friendly textbook designed for non-mathematicians as well as for computing and mathematics undergraduates alike.

The Discrete Math Workbook

Author: Sergei Kurgalin
Publisher: Springer Nature
ISBN: 3030422216
Category : Computers
Languages : en
Pages : 507

Book Description
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.