Results 31 to 40 of about 31,410,548 (207)
On Model Order Reduction of Interconnect Circuit Network: A Fast and Accurate Method
Mathematics, 2021 The time cost in integrated circuit simulation is an important consideration in the design. This paper investigates the model order reduction of interconnect circuit networks to facilitate numerical analysis.
Xinsheng Wang +3 more
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Advances in Meteorology, 2020 Accurate forecast and simulation of near-surface wind is a great challenge for numerical weather prediction models due to the significant transient and intermittent nature of near-surface wind.
De Zhang +4 more
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Computation, 2020 In this paper, we consider a coupled system of equations that describes simplified magnetohydrodynamics (MHD) problem in perforated domains. We construct a fine grid that resolves the perforations on the grid level in order to use a traditional ...
Valentin Alekseev +4 more
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L 2 Model Reduction and Variance Reduction
IFAC Proceedings Volumes, 2000 The authors study several variance properties related to model reduction for finite impulse response (FIR) and output error (OE) models. The variances of two models, one deduced directly from data and the other by reducing a high order model by \(L_2\) model reduction, are compared.
Fredrik Tjärnström, Lennart Ljung
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Modeling and Perception of ‘Gesture Reduction’ [PDF]
Phonetica, 2000 AbstractThe phenomenon of vowel reduction is investigated by modeling ‘gesture reduction’ with the use of the Distinctive Region Model (DRM). First, a definition is proposed for the term gesture, i.e. an acoustically efficient command aimed at deforming, in the time domain, the area function of the vocal tract.
René Carré, Pierre L. Divenyi
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Model reduction for transport-dominated problems via online adaptive bases and adaptive sampling [PDF]
SIAM Journal on Scientific Computing, 2018 This work presents a model reduction approach for problems with coherent structures that propagate over time such as convection-dominated flows and wave-type phenomena.
B. Peherstorfer
semanticscholar +1 more source
Model Reduction with Memory and the Machine Learning of Dynamical Systems [PDF]
Communications in Computational Physics, 2018 The well-known Mori-Zwanzig theory tells us that model reduction leads to memory effect. For a long time, modeling the memory effect accurately and efficiently has been an important but nearly impossible task in developing a good reduced model.
Chao Ma, Jianchun Wang, E. Weinan
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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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Structure Preserving Model Reduction of Parametric Hamiltonian Systems [PDF]
SIAM Journal on Scientific Computing, 2017 While reduced-order models (ROMs) have been popular for efficiently solving large systems of differential equations, the stability of reduced models over long-time integration presents challenges.
B. M. Afkham, J. Hesthaven
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Acoustics, 2023 Computing backscattering of harmonic acoustic waves from underwater elastic targets of arbitrary shape is a problem of considerable practical significance.
Petr Krysl, Ahmad T. Abawi
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