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Foundation mathematics for computer sciencea visual approach /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Foundation mathematics for computer scienceby John Vince.
Reminder of title:	a visual approach /
Author:	Vince, John
Published:	Cham :Springer International Publishing :2015.
Description:	xvii, 334 p. :ill., digital ;24 cm.
Contained By:	Springer eBooks
Subject:	Computer scienceMathematics.
Online resource:	http://dx.doi.org/10.1007/978-3-319-21437-5
ISBN:	9783319214375 (electronic bk.)

Foundation mathematics for computer sciencea visual approach /
Vince, John

Foundation mathematics for computer sciencea visual approach /[electronic resource] :by John Vince. - Cham :Springer International Publishing :2015. - xvii, 334 p. :ill., digital ;24 cm.

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

John Vince describes a range of mathematical topics to provide a 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. Each chapter includes 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 consolidate comprehension of abstract mathematical concepts. Foundation Mathematics for Computer Science covers number systems, algebra, logic, trigonometry, coordinate systems, determinants, vectors, matrices, geometric matrix transforms, differential and integral calculus, and reveals the names of the mathematicians behind such inventions. During this journey, John Vince touches upon more esoteric topics such as quaternions, octonions, Grassmann algebra, Barycentric coordinates, transfinite sets and prime numbers. Whether you intend to pursue a career in programming, scientific visualisation, 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: 9783319214375 (electronic bk.)

Standard No.: 10.1007/978-3-319-21437-5doiSubjects--Topical Terms:

181991
Computer science
--Mathematics.

LC Class. No.: QA76.9.M35

Dewey Class. No.: 004.0151

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505 0 $a Visual Mathematics -- Numbers -- Algebra -- Logic -- Trigonometry -- Coordinate Systems -- Determinants -- Vectors -- Matrices -- Geometric Matrix Transforms -- Calculus: Derivatives -- Calculus: Integration -- Appendix A -- Appendix B -- Index.
520 $a John Vince describes a range of mathematical topics to provide a 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. Each chapter includes 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 consolidate comprehension of abstract mathematical concepts. Foundation Mathematics for Computer Science covers number systems, algebra, logic, trigonometry, coordinate systems, determinants, vectors, matrices, geometric matrix transforms, differential and integral calculus, and reveals the names of the mathematicians behind such inventions. During this journey, John Vince touches upon more esoteric topics such as quaternions, octonions, Grassmann algebra, Barycentric coordinates, transfinite sets and prime numbers. Whether you intend to pursue a career in programming, scientific visualisation, 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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