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This book provides a comprehensive introduction to the mathematical
and algorithmic methods for the Multidisciplinary Design
Optimization (MDO) of complex mechanical systems such as aircraft
or car engines. We have focused on the presentation of strategies
efficiently and economically managing the different levels of
complexity in coupled disciplines (e.g. structure, fluid, thermal,
acoustics, etc.), ranging from Reduced Order Models (ROM) to
full-scale Finite Element (FE) or Finite Volume (FV) simulations.
Particular focus is given to the uncertainty quantification and its
impact on the robustness of the optimal designs. A large collection
of examples from academia, software editing and industry should
also help the reader to develop a practical insight on MDO methods.
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