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Reduced-Order Modeling and Filtering
1982In this chapter the purpose is to show how one can find a reduced-order model or a reduced-order filter with a reasonable amount of design effort. It is the author's current feeling that any result which requires the solution of a nonlinear matrix two-point boundary-valued problem of high order, is not practical. The design procedure in such cases will
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Model-reduced inverse modeling
2006Although faster computers have been developed in recent years, they tend to be used to solve even more detailed problems. In many cases this will yield enormous models that can not be solved within acceptable time constraints. Therefore, there is a need for alternative methods that simulate such models more efficiently ans conserve the detailed ...
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A POD-Galerkin reduced order model for a LES filtering approach
Journal of Computational Physics, 2021Annalisa Quaini, Gianluigi Rozza
exaly
A Reduced Mass Model for Modeling Cognitive Processes
2023 31st Signal Processing and Communications Applications Conference (SIU), 2023Sevgi Silkin +3 more
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A reduced-plate model transmission method for fast dynamic analysis of vehicle–pavement interaction
Journal of Sound and Vibration, 2023Yang Caijin, W H Zhang, W D Zhu
exaly
An efficient proper orthogonal decomposition based reduced-order model for compressible flows
Journal of Computational Physics, 2021Paul Cizmas, Elizabeth Krath
exaly