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Title: | PGD-based “Computational Vademecum” for efficient design, optimization and control |
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Author: | Chinesta, Francisco; Leygue, Adrien; Bordeu, F.; Cueto Prendes, Elias; González, David; Alfaro, Icíar; Ammar, Amine; Huerta, Antonio; Díez, Pedro |
Other authors: | Universitat Politècnica de Catalunya. Departament de Matemàtica Aplicada III; Universitat Politècnica de Catalunya. LACÀN - Mètodes Numèrics en Ciències Aplicades i Enginyeria |
Abstract: | D espite the impressive progresses attained by simulation capabilities and techniques, some challenging problems remain today intractable. These prob- lems, that are common to many branches of science and engineering, are of differ- ent nature. Among them, we can cite those related to high-dimensional models, on which mesh-based approaches fail due to the exponential increase of degrees of freedom. Other challenging scenarios concern problems requiring many direct solutions (optimization, inverse identifica- tion, uncertainty quantification ! ) or those needing very fast solutions (real time simulation, simulation based control ! ). |
Abstract: | Peer Reviewed |
Subject(s): | -Àrees temàtiques de la UPC::Matemàtiques i estadística::Investigació operativa::Optimització -Operations research -Investigació operativa -90B Operations research and management science |
Rights: | Attribution-NonCommercial-NoDerivs 3.0 Spain
http://creativecommons.org/licenses/by-nc-nd/3.0/es/ |
Document type: | Article - Published version Article |
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