Brief Description of Course Content Introduces the fundamentals of linear algebra in the context of computer science applications. Includes vector spaces, matrices, linear systems, and eigenvalues.

Y. Saad, Krylov Subspace Methods for Solving Large Unsymmetric Linear Systems, Mathematics of Computation, Vol. 37, No. 155 (Jul., 1981), pp. 105-126 ...

Topics covered: One-variable calculus including inverse functions, local inverses, critical points, optimisation, integration and differential equations, Functions of several variables including ...

Physics and Python stuff. Most of the videos here are either adapted from class lectures or solving physics problems. I really like to use numerical calculations without all the fancy programming ...

The affine rank minimization problem consists of finding a matrix of minimum rank that satisfies a given system of linear equality constraints. Such problems have appeared in the literature of a ...