Linear algebra is the study of lines and planes, vector spaces.Linear algebra is about linear combinations. That is, using arithmetic on columns of numbers called vectors and arrays of numbers called ...

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 ...

ABSTRACT: The purpose of this paper is to construct near-vector spaces using a result by Van der Walt, with Zp for p a prime, as the underlying near-field. There are two notions of near-vector spaces, ...

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 ...

*Note: This course discription is only applicable to the Computer Science Post-Baccalaureate program. Additionally, students must always refer to course syllabus for the most up to date information.