Covers Gaussian random variables, affine transformations, and linear systems driven by Gaussian noise in multivariable control.
Explores dependence in random vectors, covering joint density, conditional independence, covariance, and moment generating functions.
Explores Gaussian vectors, moment generating functions, independence, density functions, affine transformations, and quadratic forms.
Explores isometries in Euclidean spaces, including translations, rotations, and linear symmetries, with a focus on matrices.
