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Foundation mathematics for computer ...

Vince, John.

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Foundation mathematics for computer science = a visual approach /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Foundation mathematics for computer science/ by John Vince.
其他題名:	a visual approach /
作者:	Vince, John.
出版者:	Cham :Springer International Publishing : : 2020.,
面頁冊數:	xix, 407 p. :ill., digital ;24 cm.
內容註:	Visual Mathematics -- Numbers -- Algebra -- Logic -- Combinatories -- Probability -- Modular Arithmetic -- Trigonometry -- Coordinate Systems -- Determinants -- Vectors -- Complex Numbers -- Matrices -- Geometric Matrix Transforms -- Calculus: Derivatives -- Calculus: Integration -- Appendix A -- Appendix B -- Index.
Contained By:	Springer eBooks
標題:	Computer science - Mathematics. -
電子資源:	https://doi.org/10.1007/978-3-030-42078-9
ISBN:	9783030420789

Foundation mathematics for computer science = a visual approach /
Vince, John.

Foundation mathematics for computer sciencea visual approach /[electronic resource] :by John Vince. - Second edition. - Cham :Springer International Publishing :2020. - xix, 407 p. :ill., digital ;24 cm.

Visual Mathematics -- Numbers -- Algebra -- Logic -- Combinatories -- Probability -- Modular Arithmetic -- Trigonometry -- Coordinate Systems -- Determinants -- Vectors -- Complex Numbers -- Matrices -- Geometric Matrix Transforms -- Calculus: Derivatives -- Calculus: Integration -- Appendix A -- Appendix B -- Index.

In this second edition of Foundation Mathematics for Computer Science, John Vince has reviewed and edited the original book and written new chapters on combinatorics, probability, modular arithmetic and complex numbers. These subjects complement the existing chapters on number systems, algebra, logic, trigonometry, coordinate systems, determinants, vectors, matrices, geometric matrix transforms, differential and integral calculus. During this journey, the author touches upon more esoteric topics such as quaternions, octonions, Grassmann algebra, Barrycentric coordinates, transfinite sets and prime numbers. John Vince describes a range of mathematical topics to provide a solid foundation for an undergraduate course in computer science, starting with a review of number systems and their relevance to digital computers, and finishing with differential and integral calculus. Readers will find that the author's visual approach will greatly improve their understanding as to why certain mathematical structures exist, together with how they are used in real-world applications. This second edition includes new, full-colour illustrations to clarify the mathematical descriptions, and in some cases, equations are also coloured to reveal vital algebraic patterns. The numerous worked examples will help consolidate the understanding of abstract mathematical concepts. Whether you intend to pursue a career in programming, scientific visualisation, artificial intelligence, systems design, or real-time computing, you should find the author's literary style refreshingly lucid and engaging, and prepare you for more advanced texts.

ISBN: 9783030420789

Standard No.: 10.1007/978-3-030-42078-9doiSubjects--Topical Terms:

532725
Computer science
--Mathematics.

LC Class. No.: QA76.9.M35 / V55 2020

Dewey Class. No.: 004.0151

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520 $a In this second edition of Foundation Mathematics for Computer Science, John Vince has reviewed and edited the original book and written new chapters on combinatorics, probability, modular arithmetic and complex numbers. These subjects complement the existing chapters on number systems, algebra, logic, trigonometry, coordinate systems, determinants, vectors, matrices, geometric matrix transforms, differential and integral calculus. During this journey, the author touches upon more esoteric topics such as quaternions, octonions, Grassmann algebra, Barrycentric coordinates, transfinite sets and prime numbers. John Vince describes a range of mathematical topics to provide a solid foundation for an undergraduate course in computer science, starting with a review of number systems and their relevance to digital computers, and finishing with differential and integral calculus. Readers will find that the author's visual approach will greatly improve their understanding as to why certain mathematical structures exist, together with how they are used in real-world applications. This second edition includes new, full-colour illustrations to clarify the mathematical descriptions, and in some cases, equations are also coloured to reveal vital algebraic patterns. The numerous worked examples will help consolidate the understanding of abstract mathematical concepts. Whether you intend to pursue a career in programming, scientific visualisation, artificial intelligence, systems design, or real-time computing, you should find the author's literary style refreshingly lucid and engaging, and prepare you for more advanced texts.
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