Since we can represent images as matrices, this allows us to use all the tools from linear algebra that we have developed. Let's get started... The photo we will be using is this ferris wheel. First ...

signal and image processing, ODE solvers and other tasks common in science and engineering. This is in the flavour of MatLab. For those interested in using linear algebra in a symbolic setting, or for ...

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 ...

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 ...

It consists of the linear algebra part of MA212, covering the following topics: Vector spaces and dimension. Linear transformations, kernel and image. Real inner products. Orthogonal matrices, and the ...