Titlebook: IUTAM Symposium on Model Order Reduction of Coupled Systems, Stuttgart, Germany, May 22–25, 2018; MORCOS 2018 Jörg Fehr,Bernard Haasdonk Co

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Chigbogu G. Ozoegwuh issue is accompanied by an extensive literature review.A k.Casinonomics provides a comprehensive analysis of the economic and social impacts of the casino industry. Examining the latest cutting-edge research, with a mix of theory and empirical evidence, Casinonomics informs the reader on the most

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Static Condensation Optimal Port/Interface Reduction and Error Estimation for Structural Health Monensation procedures on structures with changing geometries for instance induced by newly detected defects. Those reduced port spaces generalize the port spaces introduced in [K. Smetana and A.T. Patera, SIAM J. Sci. Comput., 2016] to geometry changes and are optimal in the sense that they minimize t

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Analysis of Parametric Models for Coupled Systems,pace and affine-/linear- representations in terms of tensor products are directly related to this linear operator. This linear map leads to a generalised correlation operator, in fact it provides a factorisation of the correlation operator and of the reproducing kernel. The spectral decomposition of

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Model Order Reduction of Switched Linear Systems with Constrained Switching,nstrained switching scenarios. To this aim, we introduce new generalized reachability and observability Gramians, related to the constrained switched sequences, which satisfy coupled Lyapunov equations. The main goal is to make use of the newly introduced Gramian matrices  to develop a balancing-typ

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A Review on Reduced Order Modeling using DMD-Based Methods,ysics in spatio-temporal data. The method is based on the higher order dynamic mode decomposition (a recent extension of standard dynamic mode decomposition) of the given data, which leads to a purely data-driven, equation free approach. The high accuracy and robustness of the method makes it suitab

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An Adaptive Way of Choosing Significant Snapshots for Proper Orthogonal Decomposition,mber of degrees of freedom (DOF) and hence the computational time increases depending upon the complexity of the problem (linear/nonlinear) and discretization of space and time. The proper orthogonal decomposition (POD) yields a valuable set of vector bases which can be used in model order reduction

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Fully Online ROMs and Collocation Based on LUPOD,o a set of modes, which are obtained by applying proper orthogonal decomposition (POD) to a set of snapshots calculated by a standard numerical solver. The advantage of this approach is that the online operation of the resulting Galerkin system should be much faster than the standard numerical solve

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