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Numerical Techniques For Nonlinear Optimization.

Unconstrained optimization, Kuhn-Tucker conditions for nonlinear programs (constrained optimization). Solutions procedures: methods of feasible directions, penality methods, approximation methods, the method of generalized Lagrangians. Discrete optimal control (dynamics formulation). Solutions methods for control problems: decomposition and structured problems.

Prefix:
MA
Course Number:
616
Credits:
3.0