Published April 2010
| Version v1
Book section
Multilevel Modeling
Contributors
Others:
- Laboratoire de Mécanique et Technologie (LMT) ; École normale supérieure - Cachan (ENS Cachan)-Université Pierre et Marie Curie - Paris 6 (UPMC)-Centre National de la Recherche Scientifique (CNRS)
- Optimization and control, numerical algorithms and integration of complex multidiscipline systems governed by PDE (OPALE) ; Inria Sophia Antipolis - Méditerranée (CRISAM) ; Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria)-Laboratoire Jean Alexandre Dieudonné (JAD) ; Université Nice Sophia Antipolis (1965 - 2019) (UNS) ; COMUE Université Côte d'Azur (2015-2019) (COMUE UCA)-COMUE Université Côte d'Azur (2015-2019) (COMUE UCA)-Centre National de la Recherche Scientifique (CNRS)-Université Côte d'Azur (UCA)-Université Nice Sophia Antipolis (1965 - 2019) (UNS) ; COMUE Université Côte d'Azur (2015-2019) (COMUE UCA)-COMUE Université Côte d'Azur (2015-2019) (COMUE UCA)-Centre National de la Recherche Scientifique (CNRS)-Université Côte d'Azur (UCA)
- Piotr Breitkopf and Rajan Filomeno Coelho
- ANR-05-RNTL-0009,OMD,Optimisation MultiDisciplinaire(2005)
Description
It can be easily understood that carrying out a complete optimization (whether multidisciplinary or not) with a highly refined model can rapidly lead to prohibitive computing costs. Conversely, if a relatively coarse model is used, an optimum can still be obtained, but with little confidence in the results. Thus, it appears to necessary to be able to vary the degree of refinement of a model throughout the optimization process in order to make this process both accurate and affordable in terms of computing cost. However, such a multilevel model optimization process does raise numerous questions. we will try to answer these questions and obtain a global picture of the main multilevel model optimization approaches available. This will enable us to propose original and innovative multilevel methods.
Additional details
Identifiers
- URL
- https://hal.inria.fr/inria-00537375
- URN
- urn:oai:HAL:inria-00537375v2
Origin repository
- Origin repository
- UNICA