AA 222 - Introduction to Multidisciplinary Design Optimization

Institution:
Stanford University
Subject:
Description:
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. 3 units, not given this year
Credits:
3.00
Credit Hours:
Prerequisites:
Corequisites:
Exclusions:
Level:
Instructional Type:
Lab
Notes:
Additional Information:
Historical Version(s):
Institution Website:
Phone Number:
(650) 723-2300
Regional Accreditation:
Western Association of Schools and Colleges
Calendar System:
Quarter

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