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Exploring linear algebra : labs and projects with Matlab

Author: Crista Arangala
Publisher: Boca Raton : CRC Press, Taylor & Francis Group, [2019]
Series: Textbooks in mathematics (Boca Raton, Fla.)
Edition/Format:   eBook : Document : EnglishView all editions and formats
Summary:
This text is meant to be a hands-on lab manual that can be used in class everyday to guide the exploration of the theory and applications of linear algebra. For the most part, labs can be used individually or in a sequence. Each lab consists of and explanation of material with integrated exercises. Some labs are split into multiple subsections and thus exercises are separated by those subsections.The exercise  Read more...
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Genre/Form: Electronic books
Additional Physical Format: Print version:
Arangala, Crista.
Exploring linear algebra.
Boca Raton : CRC Press, Taylor & Francis Group, 2019
(DLC) 2018054578
(OCoLC)1066131436
Material Type: Document, Internet resource
Document Type: Internet Resource, Computer File
All Authors / Contributors: Crista Arangala
ISBN: 9781315160993 1315160994 9781351664080 1351664085 9781351664073 1351664077 9781351664066 1351664069
OCLC Number: 1089729073
Description: 1 online resource.
Contents: Preface ix; 1 Limits and Continuity 1; 2 Derivatives and Their Applications;3 Areas, Integrals, and Accumulation; 4 Applications of AntiderivativesMathematica Demonstrations and References; Index
Series Title: Textbooks in mathematics (Boca Raton, Fla.)
Responsibility: Crista Arangala.

Abstract:

This text is meant to be a hands-on lab manual that can be used in class everyday to guide the exploration of the theory and applications of linear algebra. For the most part, labs can be used individually or in a sequence. Each lab consists of and explanation of material with integrated exercises. Some labs are split into multiple subsections and thus exercises are separated by those subsections.The exercise sections integrate problems using Mathematica demonstrations (an online tool that can be used with an browser with java capabilities) and Matlab coding. This allows students to discover the theory and applications of linear algebra in a meaningful and memorable way

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