Optimization

Catalog description

The course is a rigorous treatment of linear, nonlinear, and integer optimization, and may include optimization on graphs, stochastic optimization, etc. Modeling of real-life problems as optimization problems, mathematical analysis of resulting optimization problems, including proving existence of solutions, optimality conditions, convergence of algorithms, and computational approaches to solving the problems will be covered.