Practical Aspects of Variable Reduction Formulations and Reduced Basis Algorithms in Multidisciplinary Design Optimization.
INSTITUTE FOR COMPUTER APPLICATIONS IN SCIENCE AND ENGINEERING HAMPTON VA
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This paper discusses certain connections between nonlinear programming algorithms and the formulation of optimization problems for systems governed by state constraints. The major points of this paper are the detailed calculation of the sensitivities associated with different formulations of optimization problems and the identification of some useful relationships between different formulations. These relationships have practical consequences if one uses a reduced basis nonlinear programming algorithm, then the implementations for the different formulations need only differ in a single step. AN
- Operations Research