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 ...

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

Computations that involve matrix algorithms are happening everywhere in the world ... or in price calculations for financial options Tasks such as solving linear systems, computing eigenvectors and ...

It consists of the linear algebra part of MA212, covering the following topics ... Complex matrices, diagonalisation, special types of matrix and their properties. Jordan normal form, with ...

“Teaching has been a wonderful life,” he wrote. “I am so grateful to everyone who likes linear algebra and sees its importance. So many universities (and even high schools) now appreciate ...

These pages provide a showcase of how to use Python to do computations from linear algebra. We will demonstrate both the NumPy (SciPy) and SymPy packages. This is meant to be a companion guide to a ...

In this episode, the Fields Medalist joins Steven Strogatz to revisit the topic. Integer linear programming can help find the answer to a variety of real-world problems. Now researchers have found a ...