DSC 243Advanced Optimization
Linear/quadratic programming, optimization under constraints, gradient descent (deterministic and stochastic), convergence rate of gradient descent, acceleration phenomena in convex optimization, stochastic optimization with large data sets, complexity lower bounds for convex optimization.