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We present an online-efficient hierarchical a-posteriori error estimator for the Reduced
Basis Method (RBM), which uses the difference of two reduced approximations of different
accuracy to estimate the true error of a reduced approximation. Effectivity as well
as performance are investigated, especially for those cases where the inf-sup constant
has small values and/or is hard to compute numerically.
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