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(R) demonstrations and Mathematica(R) 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 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(R) 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 and u0026T State University.

Exploring Linear Algebra: Labs and Projects with Mathematica (R) (Textbooks in Mathematics) PDF

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