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

This slide deck explores how linear transformations (i.e. ( Y = aX + b )) affect the expectation and variance of a random variable. Examples show how shifting and scaling a distribution translate or ...

Math 307 is a theoretical course in linear algebra, geared primarily for students majoring in mathematics, mathematics and physics, and applied mathematics. (Although everyone is welcome, if you're ...