We describe another, indeed very popular, approach to construct a reduced basis space in the context of parametrized PDEs: the so-called greedy algorithm. This consists in an iterative sampling from the parameter space fulfilling at each step a suitable optimality criterion that relies on the a posteriori error estimate. We illustrate the main features of this procedure in the algebraic RB framework, and then address its continuous counterpart, discuss some a priori convergence results and verify them using numerical tests.
CITATION STYLE
Quarteroni, A., Manzoni, A., & Negri, F. (2016). Construction of RB spaces by the greedy algorithm. In UNITEXT - La Matematica per il 3 piu 2 (Vol. 92, pp. 141–154). Springer-Verlag Italia s.r.l. https://doi.org/10.1007/978-3-319-15431-2_7
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