Results 41 to 50 of about 8,027,948 (326)
Parametric structure-preserving model order reduction [PDF]
2007 IFIP International Conference on Very Large Scale Integration, 2007 Analysis and verification environments for next- generation nano-scale RFIC designs must be able to cope with increasing design complexity and to account for new effects, such as process variations and Electromagnetic (EM) couplings. Designed-in passives, substrate, interconnect and devices can no longer be treated in isolation as the interactions ...
Fernández Villena, J. +2 more
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Model-order reduction for hyperbolic relaxation systems
International Journal of Nonlinear Sciences and Numerical Simulation, 2022 Abstract We propose a novel framework for model-order reduction of hyperbolic differential equations. The approach combines a relaxation formulation of the hyperbolic equations with a discretization using shifted base functions. Model-order reduction techniques are then applied to the resulting system of coupled ordinary differential ...
Sara Grundel, Michael Herty
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Model order reduction for optimality systems through empirical gramians
Frontiers in Applied Mathematics and Statistics, 2023 In the present article, optimal control problems for linear parabolic partial differential equations (PDEs) with time-dependent coefficient functions are considered.
Luca Mechelli +2 more
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Order reduction for an RNA virus evolution model
Mathematical Biosciences and Engineering, 2015 A mathematical or computational model in evolutionary biologyshould necessary combine several comparatively fast processes,which actually drive natural selection and evolution, with a veryslow process of evolution. As a result, several very differenttime
Andrei Korobeinikov +2 more
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Second-Order Model Reduction Based on Gramians
Journal of Control Science and Engineering, 2012 Some new and simple Gramian-based model order reduction algorithms are presented on second-order linear dynamical systems, namely, SVD methods. Compared to existing Gramian-based algorithms, that is, balanced truncation methods, they are competitive and ...
Cong Teng
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Model and Controller Order Reduction for Infinite Dimensional Systems [PDF]
ITB Journal of Engineering Science, 2010 This paper presents a reduced order model problem using reciprocal transformation and balanced truncation followed by low order controller design of infinite dimensional systems.
Fatmawati +3 more
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Model order reduction based on Runge–Kutta neural networks
Data-Centric Engineering, 2021 Model order reduction (MOR) methods enable the generation of real-time-capable digital twins, with the potential to unlock various novel value streams in industry.
Qinyu Zhuang +3 more
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Parameterized Model Order Reduction
, 2015 This Chapter introduces parameterized, or parametric, Model Order Reduction (pMOR). The Sections are offered in a prefered order for reading, but can be read independently. Section 5.1, written by Jorge Fernández Villena, L. Miguel Silveira, Wil H.A. Schilders, Gabriela Ciuprina, Daniel Ioan and Sebastian Kula, overviews the basic principles for pMOR ...
Ciuprina, Gabriela +11 more
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Energy preserving model order reduction of the nonlinear Schr\"odinger equation [PDF]
, 2018 An energy preserving reduced order model is developed for two dimensional nonlinear Schr\"odinger equation (NLSE) with plane wave solutions and with an external potential.
Karasözen, Bülent, Uzunca, Murat
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Reusing Preconditioners in Projection Based Model Order Reduction Algorithms
IEEE Access, 2020 Dynamical systems are pervasive in almost all engineering and scientific applications. Simulating such systems is computationally very intensive. Hence, Model Order Reduction (MOR) is used to reduce them to a lower dimension.
Navneet Pratap Singh, Kapil Ahuja
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