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 ...

It consists of the linear algebra part of MA212 ... Orthogonal matrices, and the transformations they represent. Complex matrices, diagonalisation, special types of matrix and their properties. Jordan ...

Matrix decomposition is an area of linear algebra which is focused on expressing ... when a square matrix can be broken down into special types of matrices called symplectic and skew-Hamiltonian.