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In this chapter we present and discuss most significant contributions in Multi Disciplinary Optimization MDO The name multidisciplinary optimization is often taken literally We prefer to call it collaborative design optimization Indeed the optimization tool is only one part which can not be separated from the total design process The goal of collaborative optimization is not to create an automatic design process based on optimization algorithms but to allow easy interaction amongst teams from different disciplines
Documents
Rapports de stage
In this chapter we present and discuss most significant contributions in Multi Disciplinary Optimization MDO The name multidisciplinary optimization is often taken literally We prefer to call it collaborative design optimization Indeed the optimization tool is only one part which can not be separated from the total design process The goal of collaborative optimization is not to create an automatic design process based on optimization algorithms but to allow easy interaction amongst teams from different disciplines
36 pages
English
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An easy to implement and efficient data assimilation method for the identification of the initial condition: the Back and Forth Nudging BFN algorithm
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