CS 212 Linear and Nonlinear Optimization



Optimization theory and modeling. The role of prices, duality, optimality conditions and algorithms in finding and recognizing solutions. Perspectives: problem formulation, analytical theory, computational methods and recent applications in engineering, finance and economics. Theories: finite dimensional derivatives, convexity, optimality, duality and sensitivity. Methods: simplex and interior- point, gradient, Newton and barrier.
Course period02/13/10 → …
Course level200