Optimization Algorithms, Mathematics, Machine Learning, Statistics, Convex Optimization.
as the maximum likelihood estimation of a vector x, given the linear measurement is corrupted by the Gaussian noise. Recognizing a least squares problem is straightforward. We must check if the objective function is quadratic and test if the associated quadratic form is positive semi-definite.