Shape optimization for viscous flows by reduced basis methods and free‐form deformation
By Andrea Manzoni, Alfio Maria Quarteroni, Gianluigi Rozza. 2012
143 citations recorded by the source corpus.
Subfields: Computational Mechanics, Fluid Flow and Transfer Processes, Statistical and Nonlinear Physics
View Paper: https://www.semanticscholar.org/paper/52d14ca24e92cbcf28c43653fe9d8248f9fd7f5c
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Computational Mechanics
- Andrea Manzoni
- Alfio Maria Quarteroni
- Gianluigi Rozza
- Paolo Pacciarini
- Jan S. Hesthaven
- Anthony T. Patera
- Stefano Lorenzi
- Stefania Fresca
In Fluid Flow and Transfer Processes
In Statistical and Nonlinear Physics
- Andrea Manzoni
- Alfio Maria Quarteroni
- Gianluigi Rozza
- Paolo Pacciarini
- Stefano Lorenzi
- Anthony T. Patera
- L. Luzzi
- Antonio Cammi
Citations in the corpus
- Certified reduced basis approximation for parametrized partial differential equations and applications (2011, background): “Recent works [75, 76, 77, 78] deal with free-form deformation techniques combined with empirical interpolation in bio-medical and aerodynamic problems.”
- Stabilized reduced basis method for parametrized advection-diffusion PDEs (2014, background): “the domain of the equation depends on some parameters [26,34,36,37,38].”
- Low-rank solvers for unsteady Stokes–Brinkman optimal control problem with random data (2016, unknown): “As aptly pointed out in a related study in the framework of a 19 deterministic control problem [39], efficient procedures for the numerical solution of the resulting stochastic 20 control problem is required because the model is expensive to solve, especially when solutions need to capture 21 fine d”