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OPALE Research team
Optimization and control, numerical algorithms and integration of complex multidiscipline systems governed by PDE
- Leader : Jean-Antoine Desideri
- Type : Project team
- Research center(s) : Grenoble , Sophia
- Field : Applied Mathematics, Computation and Simulation
- Theme : Computational models and simulation
- Université Nice - Sophia Antipolis, CNRS, Laboratoire Jean-Alexandre Dieudonné (JAD) (UMR6621)
Team presentation
OPALE has several objectives : analyze mathematically single or multi-disciplinary coupled systems of partial differential equations arising from physics or engineering in view of their optimization or control ( geometrical optimization); contruct and experiment efficient numerical approximation methods (coupling algorithms, model reduction) and optimization algorithms (gradient-based and/or evolutionary algorithms, game theory); develop software platforms for the distributed parallel computation of the related discrete systems. Application problems include multi-disciplinary optimum shape design of an aircraft wing (in collaboration with Dassault Aviation), functional optimization of a rocket system (in collaboration with CNES), and optimization of antenna systems (in collaboration with France Télécom). OPALE also has a strong implication in several European networks involved in aspects of code validation.Research themes
- Numericals algorithms for multi-disciplinary optimization of PDE systems
- Geometrical optimization
- Software platforms for distributed parallel computing
International and industrial relations
- Pôle Scientifique Dassault Aviation / Université Pierre et Marie Curie (Paris VI)
- CNES (Evry)
- France Télécom (La Turbie)
- Thales (Bagneux)
- FLOWnet, Thematic Network (database for pre-industrial code and flow validation)
- INGENET, Thematik Network (database for genetic algorithms)
- MACSInet, Network of Excellence (MAthematics, Computing and Simulation for Industry)
Research teams of the same theme :
- BACCHUS - Parallel tools for Numerical Algorithms and Resolution of essentially Hyperbolic problems
- CAD - Computer Aided Design
- CAGIRE - Computational Approximation with discontinous Galerkin methods and compaRison with Experiments
- CALVI - Scientific computation and visualization
- CASTOR - Control, Analysis and Simulations for TOkamak Research
- COFFEE - COmplex Flows For Energy and Environment
- CONCHA - Complex Flow Simulation Codes based on High-order and Adaptive methods
- DEFI - Shape reconstruction and identification
- GAMMA3 - Automatic mesh generation and advanced methods
- IPSO - Invariant Preserving SOlvers
- MC2 - Modeling, control and computations
- MICMAC - Methods and engineering of multiscale computing from atom to continuum
- NACHOS - Numerical modeling and high performance computing for evolution problems in complex domains and heterogeneous media
- NANO-D - Algorithms for Modeling and Simulation of Nanosystems
- POEMS - Wave propagation: mathematical analysis and simulation
- SCIPORT - Program transformations for scientific computing
- SIMPAF - SImulations and Modeling for PArticles and Fluids
- SMASH - Simulation, modeling and analysis of heterogeneous systems
Contact
Team leader
Jean-Antoine Desideri
(See all teams)
Tel.: +33 4 92 38 79 93
Secretariat
Tel.: +33 4 92 38 77 90
Inria
Inria.fr
Inria Channel

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