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Exploring Linear Algebra

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Exploring Linear Algebra Synopsis

This text focuses on the primary topics in a first course in Linear Algebra. The author includes additional advanced topics related to data analysis, singular value decomposition, and connections to differential equations. This is a lab text that would lead a class through Linear Algebra using Mathematica® demonstrations and Mathematica® coding.

The book includes interesting examples embedded in the projects. Examples include the discussions of "Lights Out", Nim, the Hill Cipher, and a variety of relevant data science projects.

The 2nd Edition contains:

  • Additional Theorems and Problems for students to prove/disprove (these act as theory exercises at the end of most sections of the text)
  • Additional sections that support Data Analytics techniques, such as Kronecker sums and products, and LU decomposition of the Vandermonde matrix
  • Updated and expanded end-of-chapter projects

Instructors and students alike have enjoyed this popular book, as it offers the opportunity to add Mathematica® to the Linear Algebra course.

I would definitely use the book (specifically the projects at the end of each section) to motivate undergraduate research.-Nick Luke, North Carolina A&T State University.

About This Edition

ISBN: 9781032940243
Publication date:
Author: Crista Arangala
Publisher: Chapman & Hall/CRC an imprint of CRC Press
Format: Hardback
Pagination: 168 pages
Series: Textbooks in Mathematics
Genres: Algebra
Technology, Engineering, Agriculture, Industrial processes

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