IE 440 Nonlinear Models in Operations Research

Description: 
Nonlinear programming; methods for one dimensional optimization, convex sets and functions, unconstrained optimization, constrained optimization, first and second order optimality conditions, derivative free methods, basic descent algorithms, convex optimization. Machine learning; perceptrons, self-organizing maps, classification, clustering, support vector machines for classification and regression.
Prerequisite: 
IE 305
Offered by: