Exploring Linear Algebra

ebook Labs and Projects with Mathematica ® · Textbooks in Mathematics

By Crista Arangala

cover image of Exploring Linear Algebra

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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.

    Exploring Linear Algebra