Parameter Dependent Model Reduction for Complex Fluid Flows
When applying optimization techniques to complex physical systems, using very large numerical models for the solution of a system of parameter dependent partial differential equations (PDEs) is usually intractable. Surrogate models are used to provide an approximation to the high fidelity models whi...
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Virginia Tech
2014
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| Online Access: | http://hdl.handle.net/10919/47357 |