Topics include systems of linear equations, matrix algebra, elementary matrices, and computational issues. Other areas of the course focus on the real n-space, vector spaces and subspaces, basis and ...

There are some familiar properties of vector addition and scalar multiplication — like the fact that if you multiply a vector by the scalar zero, you get the zero vector — which aren’t listed in the ...

Vector spaces, linear transformation, matrix representation, inner product spaces, isometries, least squares, generalised inverse, eigen theory, quadratic forms, norms, numerical methods. The fourth ...

Linear algebra is the branch of mathematics that deals with vector spaces and matrices. It is the mathematics of data, dealing with its creation, representation, transformation, and consumption using ...

Linear algebra begins with vectors, then progresses to matrices and then subspaces. Vectors are used in linear combinations-- this is the key thing you can do with them. A matrix is a set of vectors ...

MATH 146 is an advanced-level version of MATH 136. Topics includes vector spaces, linear dependence and span, bases and dimension, linear transformations, rank, change of coordinate matrices, and ...