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Reduced Order Modelling — Methods and Constraints
2004There is growing attention for methods to reduce the state space dimension of a model, especially in the area of circuit simulation and electromagnetics. Applying these techniques to substructures which behave linearly or weakly non-linearly can dramatically speed up the computations in simulation of complex electronic structures.
Heres, P.J., Schilders, W.H.A.
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Reduced Order Models for Eigenvalue Problems
2006Two main approaches are known for the reduced order modelling of linear time-invariant systems: Krylov subspace based and SVD based approximation methods. Krylov subspace based methods have large scale applicability, but do not have a global error bound.
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Reduced-order Models for Coupled Problems
2010info:eu-repo/semantics ...
Filomeno Coelho, Rajan +5 more
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REDUCED ORDER MODELİNG OF BRUSSELATOR MODEL
International Conference on Modern Problems of Mathematics, Mechanics and their ApplicationsAbstract. We investigate reduced order model results for the linear cross-diffusion Brusselator model. The full-order system of the Brusselator model is calculated by applying the discontinuous Galerkin method in spatial discretization and the backward Euler method in temporal discretization.
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Data-Driven Physics-Based Digital Twins via a Library of Component-Based Reduced-Order Models
International Journal for Numerical Methods in Engineering, 2022Michael Kapteyn
exaly
Event-Triggered Sliding Mode Control for a High-Order System via Reduced-Order Model Based Design
Automatica, 2020Kiran Kumari +2 more
exaly
Frequency of Surveillance Scanning in Pediatric Hodgkin Disease Can Safely Be Reduced
Ca-A Cancer Journal for Clinicians, 2012Mary Kay Barton
exaly
Reduced Levels of N-Acetylaspartate in Malignant Brain Tumors
Ca-A Cancer Journal for Clinicians, 1999Michael Prados +2 more
exaly