An introduction to proofs and the axiomatic methods through a study of the vector space axioms. Linear analytic geometry. Linear dependence and independence, subspaces, basis. Inner products. Matrix ...

Introduces the fundamentals of linear algebra in the context of computer science applications. Includes vector spaces, matrices, linear systems, and eigenvalues. Includes the basics of floating point ...

Computations that involve matrix algorithms are happening everywhere in the world at every moment in time, whether these be embedded in the training of neural networks in data science, in computer ...

A range of basic mathematical concepts and methods in calculus of one and several variables and in linear algebra are covered and some applications ... elimination and analysis of solution sets, ...

We'll represent a colour by a 3D vector of RGB values. Each value is from 0 to 255 ... Since we can represent images as matrices, this allows us to use all the tools from linear algebra that we have ...