This paper extends the reduced basis method for the solution of parametrized optimal control problems presented in Negri et al. (2013) to the case of noncoercive (elliptic) equations, such as the Stokes equations. We discuss both the theoretical properties-with particular emphasis on the stability of the resulting double nested saddle-point problems and on aggregated error estimates-and the computational aspects of the method. Then, we apply it to solve a benchmark vorticity minimization problem for a parametrized bluff body immersed in a two or a three-dimensional flow through boundary control, demonstrating the effectivity of the methodology.

@ARTICLE{NegriManzoniRozza2015,
author = {Negri, F. and Manzoni, A. and Rozza, G.},
title = {Reduced basis approximation of parametrized optimal flow control
problems for the {S}tokes equations},
journal = {Computers and Mathematics with Applications},
year = {2015},
volume = {69},
pages = {319--336},
number = {4},
doi = {10.1016/j.camwa.2014.12.010},
}