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 ...

T^2(w, z) = T(z, 0) = (0, 0), it follows that $G(0, T) = V$. Therefore every vector in $\mathbb{C}^2$ is a generalized eigenvector of $T$. _Exercise 2_ The ...

This course gives a thorough introduction to linear algebra with emphasis on vector spaces, linear maps, spectral theory, orthogonality and applications of this theory. MATLAB is used for ...

Prerequisite: Credit for or concurrent enrollment in MATH 2414. Course Description: Solutions of systems of linear equations, matrices, vector spaces, linear transformations, similarity eigenvalues ...

Abstract: This book contains a detailed discussion of the matrix operation, its properties, and its applications in finding the solution of linear equations and determinants. Linear algebra is a ...

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

Self-funded student: register by the 10th of the month, start on the 1st of the next. Funded student: please check the next enrolment deadline and course start date. Mathematics Diagnostic Assessment.