Blackbox reduced-basis output bound methods for shape optimization Blackbox reduced-basis output bound methods for shape optimization Πλήρης Δημοσίευση σε Συνέδριο Conference Full Paper 2015-10-172001enWe present a two-stage off-line/on-line blackbox reduced-basis output bound method for the prediction of outputs of coercive partial differential equations with affine param- eter dependence. The computational complexity of the on-line stage of the procedure scales only with the dimension of the reduced-basis space and the parametric com- plexity of the partial differential operator. The method is both efficient and certain: thanks to rigorous a posteriori error bounds, we may retain only the minimal number of modes necessary to achieve the prescribed accuracy in the output of interest. The technique is particularly appropriate for applications such as design and optimization, in which repeated and rapid evaluation of the output is required.http://creativecommons.org/licenses/by/4.0/429-43612th International Conference on Domain Decomposition Methods Rovas Dimitrios Ροβας Δημητριος Patera, Adolf Machielsen, Liesbeth Maday, Yvon, 1957- Greek mathematics mathematics greek greek mathematics