Teaching Elementary Linear Algebra Using Matlab: An Initial Investigation

TL;DR: Systems of Linear Equations and Matrices Determinants Vectors in 2-Space and 3-Space Vector Spaces Linear Transformations Eigenvalues and Eigenvectors Applications Introduction to Numerical Methods of Linear Algebra Complex Vector Spaces Applications as discussed by the authors

TL;DR: In this article, the authors present a review of the applicability of systems of linear equations in the context of matrix multiplication and linear transformations, as well as their properties, including the dimension of subspaces associated with a matrix coordinate system and the representation of linear operators.

TL;DR: Day as mentioned in this paper has been at San Jose State University since 1982 and participated in the Linear Algebra Curriculum Study Group in 1990 and has been particularly aware since then of how diverse the audience is for linear algebra.

TL;DR: This classic treatment of linear algebra presents the fundamentals in the clearest possible way, examining basic ideas by means of computational examples and geometrical interpretation.