Reduced basis method for the Stokes equations in decomposable parametrized domains using greedy optimization

In this paper we present a reduced order method for the solution of parametrized Stokes equations in domain composed by an arbitrary number of predefined shapes. The novelty of the proposed approach is the possibility to use a small set of precomputed bases to solve Stokes equations in very different computational domains, defined by combining one or more reference geometries. The selection of the basis functions is performed through an optimization greedy algorithm.

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