Lecture Convex optimization - Chapter: Unconstrained minimization

Lecture Convex optimization - Chapter: Unconstrained minimization. This chapter presents the following content: Terminology and assumptions, gradient descent method, steepest descent method, Newton’s method, self-concordant functions, implementation.