@Article{IJNAM-4-3-4,
author = {},
title = {Interval-Based Reduced-Order Models for Unsteady Fluid Flow},
journal = {International Journal of Numerical Analysis and Modeling},
year = {2007},
volume = {4},
number = {3-4},
pages = {353--367},
abstract = {<p style="text-align: justify;">A number of practical engineering problems require the
repeated simulation of unsteady fluid flows. These problems include the
control, optimization and uncertainty quantification of fluid systems.
To make many of these problems tractable, reduced-order modeling has
been used to minimize the simulation requirements. For nonlinear,
time-dependent problems, such as the Navier-Stokes equations,
reduced-order models are typically based on the proper orthogonal
decomposition (POD) combined with Galerkin projection. We study several
modifications to this reduced-order modeling approach motivated by the
optimization problem underlying POD. Our discussion centers on a method
known as the principal interval decomposition (PID) due to IJzerman.</p>},
issn = {2617-8710},
doi = {https://doi.org/2007-IJNAM-866},
url = {https://global-sci.com/article/83773/interval-based-reduced-order-models-for-unsteady-fluid-flow}
}