Shape optimization by gradient methods for fluids

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Bibliographische Detailangaben
Veröffentlicht in:	Introduction to optimization and multidisciplinary design (Veranstaltung : 2018 : Sint-Genesius-Rode) Introduction to optimization and multidisciplinary design
1. Verfasser:	PIRONNEAU, O. (VerfasserIn)
Format:	UnknownFormat
Sprache:	eng
Veröffentlicht:	2018
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Titel	Jahr	Verfasser
Adjoint approaches in aerodynamic shape optimization and MDO context. Part I & II	2018	GAUGER, N. R.
CAD-based multidisciplinary optimization of turbomachinery components by gradient- based methods	2018	MÜLLER, L.
Shape optimization by gradient methods for fluids	2018	PIRONNEAU, O.
Adaptive surrogate modelling for global optimization	2018	DWIGHT, R. P.
Aircraft multidisciplinary design via numerical simulation/optimization — “Opportunities and challenges”	2018	ABBAS, A.
Introduction to optimization and multidisciplinary design	2018	VERSTRAETE, T.
The continuous adjoint method in aero/hydrodynamic optimization	2018	GIANNAKOGLOU, K. C.
Theoretical background for aerodynamic shape optimization Industrial applications of aerodynamic shape optimization Influence of shape parameterization on aerodynamic shape optimization	2018	VASSBERG, J. C.
Hybridized evolutionary optimization with game strategies for multi objective, multi-disciplinary design. Applications to drag reduction in aeronautics	2018	PERIAUX, J.
Multidisciplinary optimization of turbomachinery components using differential evolution	2018	VERSTRAETE, T.
Aerodynamic shape optimization of turbomachinery components - an industrial perspective	2018	MEYER, M.
Shape optimization with gradient-based methods CAD-based parametrisations for adjoint optimisation	2018	MÜLLER, J.-D.
Low cost evolutionary algorithms for engineering applications	2018	GIANNAKOGLOU, K. C.