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Linear algebra with applications / Gareth Williams.

By: Material type: TextTextLanguage: English Publication details: Burlington, Massachusetts : Jones & Bartlett Learning, c2019Edition: Ninth editionDescription: xvii, 594 pages : illustrations (some color) ; 29 cmContent type:
  • text
Media type:
  • unmediated
Carrier type:
  • volume
ISBN:
  • 9781284120097 (casebound : alk. paper)
  • 1284120090 (casebound : alk. paper)
Subject(s): LOC classification:
  • QA184.2 W67 2019
Online resources:
Contents:
Linear equations and vectors -- Matrices and linear transformations -- Determinants and eigenvectors -- General vector spaces -- Coordinate representations -- Inner product spaces -- Numerical methods -- Linear programming.
Summary: "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 R 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. Key features of the Ninth Edition New simple-to-advanced organizational framework Interesting applications, both theoretical and practical, engage and challenge students Carefully explained and illustrated examples highlight key concepts throughout 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."--Back cover
List(s) this item appears in: Print Books 2022
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Item type Current library Collection Call number Materials specified Status Notes Date due Barcode
Books Books Ladislao N. Diwa Memorial Library Reserve Section Non-fiction RUS QA184.2 W67 2019 (Browse shelf(Opens below)) Room use only 78010 00078957
Browsing Ladislao N. Diwa Memorial Library shelves, Shelving location: Reserve Section, Collection: Non-fiction Close shelf browser (Hides shelf browser)
RUS QA184.2 L32 2017 Elementary linear algebra / RUS QA184.2 L32 2019 Elementary linear algebra / RUS QA184.2 P78 2003 Linear algebra : a modern introduction / RUS QA184.2 W67 2019 Linear algebra with applications / RUS QA184.5 L66 2001 Schaum's outline of theory and problems of linear algebra / RUS QA184.5 N52 2001 Elementary linear algebra / RUS QA267.3 L65 1997 An Introduction to formal languages and automata /

Includes bibliographical references and index.

Linear equations and vectors -- Matrices and linear transformations -- Determinants and eigenvectors -- General vector spaces -- Coordinate representations -- Inner product spaces -- Numerical methods -- Linear programming.

"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 R 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.

Key features of the Ninth Edition
New simple-to-advanced organizational framework
Interesting applications, both theoretical and practical, engage and challenge students
Carefully explained and illustrated examples highlight key concepts throughout 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."--Back cover

Fund 164 Mind Mover Publishing House, Inc. Purchased 10/24/2019 78010 NEJ PHP 10,787.40 2019-10-819 201-1-0683

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