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Product Identifiers
PublisherJones & Bartlett Learning, LLC
ISBN-101284120090
ISBN-139781284120097
eBay Product ID (ePID)239686332
Product Key Features
Number of Pages594 Pages
Publication NameLinear Algebra with Applications
LanguageEnglish
SubjectAlgebra / Linear, Pre-Calculus
Publication Year2017
FeaturesRevised
TypeTextbook
Subject AreaMathematics
AuthorGareth Williams
FormatHardcover
Dimensions
Item Height0.8 in
Item Weight47.1 Oz
Item Length10.7 in
Item Width8.5 in
Additional Product Features
Edition Number9
LCCN2017-029889
Dewey Edition23
IllustratedYes
Dewey Decimal512/.5
Table Of ContentPart1 Linear Equations, Vectors, and Matrices Chapter1 Linear Equations and Vectors Chapter2 Matrices and Linear Transformations Chapter3 Determinants and Eigenvectors Part2 Vector Spaces Chapter4 General Vector Spaces Chapter5 Coordinate Representations Chapter6 Inner Product Spaces Part3 Numerical Linear Algebra Chapter7 Numerical Methods Chapter8 Linear Programming AppendixA Cross Product AppendixB Equations of Planes and Lines in Three-Space AppendixC Graphing Calculator Manual AppendixD MATLAB Manual
Edition DescriptionRevised edition
SynopsisLinear Algebra with Applications, Ninth Edition is designed for the introductory course in linear algebra for students within engineering, mathematics, business management, and physics. Updated to increase clarity and improve student learning, the author provides a flexible blend of theory and engaging applications. The material in Linear Algebra with Applications, Ninth Edition is arranged into three parts that contain core and optional sections: Part 1 introduces the basics, discussing systems of linear equations, vectors in Rn matrices, linear transformations, determinants, eigenvalues, and eigenspaces. Part 2 builds on this material to discuss general vector spaces, and includes such topics as the Rank/Nullity Theorem, inner products and coordinate representation. Part 3 completes the course with important ideas and methods in Numerical Linear Algebra including ill-conditioning, pivoting, LU decomposition and Singular Value Decomposition. Throughout the text the author provides interesting applications, ranging from theoretical applications such as the use of linear algebra in differential equations, to many practical applications in the fields of electrical engineering, traffic analysis, relativity, history, and more. Learn more about WebAssign for Linear Algebra with Applications, Ninth Edition and try an example assignment! Updated to simplify earlier material in the text while going into later, more advanced material in more depth Interesting applications, both theoretical and practical, engage and challenge students Carefully explained and illustrated examples highlight key concepts through the text A MATLAB manual, included as an appendix, consists of 31 sections that tie into course material Available with WebAssign Online Homework and Assessment with integrated eBook Written for the introductory course in linear algebra for students within engineering, mathematics, business management, and physics. (c) 2019 594 pages, Linear Algebra with Applications, Ninth Edition is designed for the introductory course in linear algebra for students within engineering, mathematics, business management, and physics. Updated to increase clarity and improve student learning, the author provides a flexible blend of theory and engaging applications. The material in Linear Algebra with Applications, Ninth Edition is arranged into three parts that contain core and optional sections: Part 1 introduces the basics, discussing systems of linear equations, vectors in Rn matrices, linear transformations, determinants, eigenvalues, and eigenspaces. Part 2 builds on this material to discuss general vector spaces, and includes such topics as the Rank/Nullity Theorem, inner products and coordinate representation. Part 3 completes the course with important ideas and methods in Numerical Linear Algebra including ill-conditioning, pivoting, LU decomposition and Singular Value Decomposition. Throughout the text the author provides interesting applications, ranging from theoretical applications such as the use of linear algebra in differential equations, to many practical applications in the fields of electrical engineering, traffic analysis, relativity, history, and more. Learn more about WebAssign for Linear Algebra with Applications, Ninth Edition and try an example assignment! Updated to simplify earlier material in the text while going into later, more advanced material in more depth Interesting applications, both theoretical and practical, engage and challenge students Carefully explained and illustrated examples highlight key concepts through the text A MATLAB manual, included as an appendix, consists of 31 sections that tie into course material Available with WebAssign Online Homework and Assessment with integrated eBook Written for the introductory course in linear algebra for students within engineering, mathematics, business management, and physics. © 2019 594 pages, Linear Algebra with Applications, Ninth Edition is designed for the introductory course in linear algebra for students within engineering, mathematics, business management, and physics. Updated to increase clarity and improve student learning, the author provides a flexible blend of theory and engaging applications. The material in Linear Algebra with Applications, Ninth Edition is arranged into three parts that contain core and optional sections: Part 1 introduces the basics, discussing systems of linear equations, vectors in Rn matrices, linear transformations, determinants, eigenvalues, and eigenspaces. Part 2 builds on this material to discuss general vector spaces, and includes such topics as the Rank/Nullity Theorem, inner products and coordinate representation. Part 3 completes the course with important ideas and methods in Numerical Linear Algebra including ill-conditioning, pivoting, LU decomposition and Singular Value Decomposition. Throughout the text the author provides interesting applications, ranging from theoretical applications such as the use of linear algebra in differential equations, to many practical applications in the fields of electrical engineering, traffic analysis, relativity, history, and more.
LC Classification NumberQA184.2.W55 2018
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