Multidisciplinary Design Optimization

3 credits · College of Engineering catalogue

Advisory Prerequisite: MATH 419 or equivalent; MATH 371 or equivalent; graduate standing. Enforced Prerequisite: None. (3 credits) Introduction to numerical optimization and its application to the design of aerospace systems, including: mathematical formulation of multidisciplinary design problems, overview of gradient-based and gradient-free algorithms, optimality conditions (unconstrained and constrained, Pareto optimality), sensitivity analysis and multidisciplinary problem decomposition. No background in aerospace is required.