Elementary Linear Algebra with Applications by Bernard Kolman and David Hill (2007, Hardcover)

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Product Identifiers

PublisherPrentice Hall PTR
ISBN-100132296543
ISBN-139780132296540
eBay Product ID (ePID)57207449

Product Key Features

Number of Pages720 Pages
LanguageEnglish
Publication NameElementary Linear Algebra with Applications
Publication Year2007
SubjectAlgebra / Linear, General
TypeTextbook
Subject AreaMathematics
AuthorBernard Kolman, David Hill
FormatHardcover

Dimensions

Item Height1.3 in
Item Weight50.4 Oz
Item Length10.1 in
Item Width8.3 in

Additional Product Features

Edition Number9
Intended AudienceCollege Audience
Dewey Edition22
Dewey Decimal512/.897
Table Of Content1 - Linear Equations And Matrices 2 - Solving Linear Systems 3 - Determinants 4 - Real Vector Spaces 5 - Inner Product Spaces 6 - Linear Transformations and Matrices 7 - Eigenvalues and Eigenvectors 8 - Applications of Eigenvalues and Eigenvectors (Optional) 9 - MATLAB for Linear Algebra 10 - MATLAB Exercises A P P E N D I X A Preliminaries A P P E N D I X B Complex Numbers A P P E N D I X C Introduction to Proofs
SynopsisThis book presents the basic ideas of linear algebra in a manner that users will find understandable. It offers a fine balance between abstraction/theory and computational skills, and gives readers an excellent opportunity to learn how to handle abstract concepts. Included in this comprehensive and easy-to-follow manual are these topics: linear equations and matrices; solving linear systems; real vector spaces; inner product spaces; linear transformations and matrices; determinants; eigenvalues and eigenvectors; differential equations; and MATLAB for linear algebra. Because this book gives real applications for linear algebraic basic ideas and computational techniques, it is useful as a reference work for mathematicians and those in field of computer science., For introductory sophomore-level courses in Linear Algebra or Matrix Theory. This text presents the basic ideas of linear algebra in a manner that offers students a fine balance between abstraction/theory and computational skills. The emphasis is on not just teaching how to read a proof but also on how to write a proof.
LC Classification NumberQA184.2

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