?url_ver=Z39.88-2004&rft_id=arXiv%3A1604.01074&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Adc&rft.relation=http%3A%2F%2Feprints.imtlucca.it%2F3544%2F&rft.title=GPU-accelerated+stochastic+predictive+control+of+drinking+water+networks&rft.creator=Sampathirao%2C+Ajay+Kumar&rft.creator=Sopasakis%2C+Pantelis&rft.creator=Bemporad%2C+Alberto&rft.creator=Patrinos%2C+Panagiotis&rft.subject=QA75+Electronic+computers.+Computer+science&rft.description=Despite+the+proven+advantages+of+scenario-based+stochastic+model+predictive+control+for+the+operational+control+of+water+networks%2C+its+applicability+is+limited+by+its+considerable+computational+footprint.+In+this+paper+we+fully+exploit+the+structure+of+these+problems+and+solve+them+using+a+proximal+gradient+algorithm+parallelizing+the+involved+operations.+The+proposed+methodology+is+applied+and+validated+on+a+case+study%3A+the+water+network+of+the+city+of+Barcelona.&rft.publisher=arXiv&rft.date=2016&rft.type=Working+Paper&rft.type=NonPeerReviewed&rft.format=application%2Fpdf&rft.language=en&rft.rights=cc_by_nc&rft.identifier=http%3A%2F%2Feprints.imtlucca.it%2F3544%2F1%2F1604.01074v1.pdf&rft.identifier=++Sampathirao%2C+Ajay+Kumar+and+Sopasakis%2C+Pantelis+and+Bemporad%2C+Alberto+and+Patrinos%2C+Panagiotis++GPU-accelerated+stochastic+predictive+control+of+drinking+water+networks.++Working+Paper+++arXiv+++++++(Submitted)+++&rft.relation=https%3A%2F%2Farxiv.org%2Fabs%2F1604.01074&rft.relation=arXiv%3A1604.01074