PGD-Based Computational Vademecum for Efficient Design, Optimization and Control

Optimization Engineering, Civil Design [SPI] Engineering Sciences [physics] Engineering, Multidisciplinary Operations research Investigació operativa [SPI.MECA] Engineering Sciences [physics]/Mechanics [physics.med-ph] 01 natural sciences Computational Vademecum Sciences de l'ingénieur: Mécanique: Mécanique des structures [SPI]Engineering Sciences [physics] Engineering, Ocean 0101 mathematics Engineering, Aerospace Engineering, Biomedical PGD Àrees temàtiques de la UPC::Matemàtiques i estadística::Investigació operativa::Optimització [SPI.MECA]Engineering Sciences [physics]/Mechanics [physics.med-ph] Computer Science, Software Engineering Engineering, Marine 90B Operations research and management science 004 Mathématique: Analyse numérique Engineering, Manufacturing Engineering, Mechanical Engineering, Industrial Chimie: Polymères :Matemàtiques i estadística::Investigació operativa::Optimització [Àrees temàtiques de la UPC]
DOI: 10.1007/s11831-013-9080-x Publication Date: 2013-01-29T12:49:36Z
ABSTRACT
Peer Reviewed<br/>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 ! ).<br/>
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