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
AUTHORS (9)
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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