Exploring Linear Algebra

This text focuses on the primary topics in a first course in Linear Algebra including 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

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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 others.

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 Kroenecker sums and products, 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