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Computational linear algebra = with applications and MATLAB computations /

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Computational linear algebra/ Robert E. White.
Reminder of title:	with applications and MATLAB computations /
Author:	White, R. E.
Published:	Boca Raton, FL :Chapman & Hall/CRC Press, : 2023.,
Description:	1 online resource :ill. :
Subject:	Algebras, Linear. -
Online resource:	https://www.taylorfrancis.com/books/9781003304128
ISBN:	9781003304128

Computational linear algebra = with applications and MATLAB computations /
White, R. E.

Computational linear algebrawith applications and MATLAB computations /[electronic resource] :Robert E. White. - 1st ed. - Boca Raton, FL :Chapman & Hall/CRC Press,2023. - 1 online resource :ill. - Textbooks in mathematics. - Textbooks in mathematics..

Includes bibliographical references and index.

Courses on linear algebra and numerical analysis need each other. Often NA courses have some linear algebra topics, and LA courses mention some topics from numerical analysis/scientific computing. This text merges these two areas into one introductory undergraduate course. It assumes students have had multivariable calculus. A second goal of this text is to demonstrate the intimate relationship of linear algebra to applications/computations. A rigorous presentation has been maintained. A third reason for writing this text is to present, in the first half of the course, the very important topic on singular value decomposition, SVD. This is done by first restricting consideration to real matrices and vector spaces. The general inner product vector spaces are considered starting in the middle of the text. The text has a number of applications. These are to motivate the student to study the linear algebra topics. Also, the text has a number of computations. MATLAB is used, but one could modify these codes to other programming languages. These are either to simplify some linear algebra computation, or to model a particular application.

ISBN: 9781003304128Subjects--Uniform Titles:

MATLAB.
Subjects--Topical Terms:

528115
Algebras, Linear.

LC Class. No.: QA184.2

Dewey Class. No.: 512.5

Computational linear algebra = with applications and MATLAB computations /
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300 $a 1 online resource : $b ill.
490 1 $a Textbooks in mathematics
504 $a Includes bibliographical references and index.
520 $a Courses on linear algebra and numerical analysis need each other. Often NA courses have some linear algebra topics, and LA courses mention some topics from numerical analysis/scientific computing. This text merges these two areas into one introductory undergraduate course. It assumes students have had multivariable calculus. A second goal of this text is to demonstrate the intimate relationship of linear algebra to applications/computations. A rigorous presentation has been maintained. A third reason for writing this text is to present, in the first half of the course, the very important topic on singular value decomposition, SVD. This is done by first restricting consideration to real matrices and vector spaces. The general inner product vector spaces are considered starting in the middle of the text. The text has a number of applications. These are to motivate the student to study the linear algebra topics. Also, the text has a number of computations. MATLAB is used, but one could modify these codes to other programming languages. These are either to simplify some linear algebra computation, or to model a particular application.
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