AA222 - Introduction to Multidisciplinary Design Optimization

 

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Design of aerospace systems within a formal optimization environment. Mathematical formulation of the multidisciplinary design problem (parameterization of design space, choice of objective functions, constraint definition); survey of algorithms for unconstrained and constrained optimization and optimality conditions; description of sensitivity analysis techniques. Hierarchical techniques for decomposition of the multidisciplinary design problem; use of approximation theory. Applications to design problems in aircraft and launch vehicle design.


Prerequisites: multivariable calculus; familiarity with a high-level programming language: FORTRAN, C, C++, or MATLAB.


Terms: Spr | Units: 3 | Grading: Letter | Instructors: Hicken, J and Alonso, J J

Mon, Wed 2:15 PM - 3:30 PM at McCullough 126 with Hicken, J and Alonso, J.

Stanford Bulletin Course Description

Jason Hicken: Fridays from 2-3:30pm, Durand 359

Juan J. Alonso: TBA

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