Optimization theory and its applications to structural design and control problems. Basic concepts and terminology of the nonlinear constrained optimization. Kuhn-Tucker optimality criteria. Pareto multi-objective optimization. Optimal control and Pontryagin principles. Numerical algorithms based on mathematical programming techniques. Combining structural optimization with Finite Element Method techniques. Weekly hours: 2 Lecture hours and 1 Practicum/Lab hours and .5 Seminar/Discussion hoursPrerequisite(s): ME 323 or equivalent.
Optimization theory and its applications to structural design and control problems. Basic concepts and terminology of the nonlinear constrained optimization. Kuhn-Tucker optimality criteria. Pareto multi-objective optimization. Optimal control and Pontryagin principles. Numerical algorithms based on mathematical programming techniques. Combining structural optimization with Finite Element Method techniques. Weekly hours: 2 Lecture hours and 1 Practicum/Lab hours and .5 Seminar/Discussion hoursPrerequisite(s): ME 323 or equivalent.
