Nonlinear Optimization Models and Methods

Catalog description

Covers fundamentals of nonlinear continuous unconstrained and constrained optimization and methods for solving nonlinear programming problems. Includes analysis of widely used iterative algorithms and their convergence, convexity and optimality conditions, gradient methods, Lagrangian functions, elements of duality theory and implementing constraints. Background knowledge equivalent to MTH 3107 Optimization