全部文献期刊学位论文会议报纸专利标准年鉴图书|学者科研项目
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作者:Giuseppe Pitton , Gianluigi Rozza
来源:[J].Journal of Scientific Computing(IF 1.71), 2017, Vol.73 (1), pp.157-177Springer
摘要:In this paper we apply a reduced basis framework for the computation of flow bifurcation (and stability) problems in fluid dynamics. The proposed method aims at reducing the complexity and the computational time required for the construction of bifurcation and stability diagrams....
作者:Gianluigi Rozza , Sonia Ippolito ...
来源:[J].Biomechanics and Modeling in Mechanobiology(IF 3.331), 2017, Vol.16 (4), pp.1373-1399Springer
摘要:A fast computational framework is devised to the study of several configurations of patient-specific coronary artery bypass grafts. This is especially useful to perform a sensitivity analysis of the hemodynamics for different flow conditions occurring in native coronary arte...
作者:Federico Pichi , Gianluigi Rozza
来源:[J].Journal of Scientific Computing(IF 1.71), 2019, Vol.81 (1), pp.112-135Springer
摘要:Abstract(#br)This work focuses on the computationally efficient detection of the buckling phenomena and bifurcation analysis of the parametric Von Kármán plate equations based on reduced order methods and spectral analysis. The computational complexity—due to the fourth orde...
作者:Luca Venturi , Francesco Ballarin , Gianluigi Rozza
来源:[J].Journal of Scientific Computing(IF 1.71), 2019, Vol.81 (1), pp.136-153Springer
摘要:Abstract(#br)In this work we propose and analyze a weighted proper orthogonal decomposition method to solve elliptic partial differential equations depending on random input data, for stochastic problems that can be transformed into parametric systems. The algorithm is introduced...
作者:Peng Chen , Alfio Quarteroni , Gianluigi Rozza
来源:[J].Journal of Scientific Computing(IF 1.71), 2014, Vol.59 (1), pp.187-216Springer
摘要:Abstract(#br)The stochastic collocation method (Babuška et al. in SIAM J Numer Anal 45(3):1005–1034, 2007 ; Nobile et al. in SIAM J Numer Anal 46(5):2411–2442, 2008a ; SIAM J Numer Anal 46(5):2309–2345, 2008b ; Xiu and Hesthaven in SIAM J Sci Comput 27(3):1118–1139, 200...
作者:... Andrea Manzoni , Gianluigi Rozza , Sandro Salsa
来源:[J].Journal of Scientific Computing(IF 1.71), 2014, Vol.60 (3), pp.537-563Springer
摘要:Abstract(#br)Shape optimization problems governed by PDEs result from many applications in computational fluid dynamics. These problems usually entail very large computational costs and require also a suitable approach for representing and deforming efficiently the shape of the u...
作者:... Annalisa Quaini , Gianluigi Rozza , Max Gunzburger
来源:[J].Computer Methods in Applied Mechanics and Engineering(IF 2.617), 2019, Vol.351, pp.379-403Elsevier
摘要:Abstract(#br)Reduced-order modeling (ROM) commonly refers to the construction, based on a few solutions (referred to as snapshots) of an expensive discretized partial differential equation (PDE), and the subsequent application of low-dimensional discretizations of partial differe...
作者:Efthymios N. Karatzas , Francesco Ballarin , Gianluigi Rozza
来源:[J].Computers and Mathematics with Applications(IF 2.069), 2019Elsevier
摘要:Abstract(#br)This work presents a reduced order modeling technique built on a high fidelity embedded mesh finite element method. Such methods, and in particular the CutFEM method, are attractive in the generation of projection-based reduced order models thanks to their capabiliti...
作者:Nicola Demo , Marco Tezzele , Gianluigi Rozza
来源:[J].Comptes rendus - Mécanique(IF 0.873), 2019, Vol.347 (11), pp.873-881Elsevier
摘要:Abstract(#br)Reduced order modeling (ROM) provides an efficient framework to compute solutions of parametric problems. Basically, it exploits a set of precomputed high-fidelity solutions—computed for properly chosen parameters, using a full-order model—in order to find the l...

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