TY - BOOK
T1 - Advanced Reduced Order Methods and Applications in Computational Fluid Dynamics
AU - Rozza, Gianluigi
AU - Stabile, Giovanni
AU - Ballarin, Francesco
PY - 2022
Y1 - 2022
N2 - Reduced order modeling is an important, growing field in computational science and engineering, and this is the first book to address the subject in relation to computational fluid dynamics. It focuses on complex parametrization of shapes for their optimization and includes recent developments in advanced topics such as turbulence, stability of flows, inverse problems, optimization, and flow control, as well as applications.
AB - Reduced order modeling is an important, growing field in computational science and engineering, and this is the first book to address the subject in relation to computational fluid dynamics. It focuses on complex parametrization of shapes for their optimization and includes recent developments in advanced topics such as turbulence, stability of flows, inverse problems, optimization, and flow control, as well as applications.
KW - computational fluid dynamics
KW - computational mechanics
KW - fluid-structure interaction
KW - optimal flow control
KW - parametric PDEs
KW - proper orthogonal decomposition
KW - reduced basis methods
KW - reduced order modelling
KW - shape optimization
KW - stability of flows and bifurcation
KW - computational fluid dynamics
KW - computational mechanics
KW - fluid-structure interaction
KW - optimal flow control
KW - parametric PDEs
KW - proper orthogonal decomposition
KW - reduced basis methods
KW - reduced order modelling
KW - shape optimization
KW - stability of flows and bifurcation
UR - http://hdl.handle.net/10807/221164
U2 - 10.1137/1.9781611977257
DO - 10.1137/1.9781611977257
M3 - Book
SN - 978-1-61197-724-0
BT - Advanced Reduced Order Methods and Applications in Computational Fluid Dynamics
PB - SIAM PUBLICATIONS
ER -