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Trait anxiety is associated with reduced coupling between physiological dynamics and adaptive learning

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Ventura-Bort C   +11 more
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On symbolic model order reduction

IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, 2006
Symbolic model order reduction (SMOR) is a macromodeling technique that generates reduced-order models while retaining the parameters in the original models. Such symbolic reduced-order models can be repeatedly simulated with a greater efficiency for varying model parameters.
Guoyong Shi, Bo Hu, Chuanjin Richard Shi
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Parameter independent model order reduction [PDF]

open access: yesMathematics and Computers in Simulation, 2005
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
exaly   +2 more sources

Order reduction with partial ARMA-modeling

1999 European Control Conference (ECC), 1999
In this paper a new method for order reduction of large FE-models is presented. Many order reduction methods known from the literature fail when they are applied to large parametric models. The method proposed here is based on numerical data. Therefore this method can be seen as an identification method as well.
Karl-Bernhard Lederle   +2 more
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Why Model Order Reduction

2023
Reasonably recently, a new efficient method appeared for solving complex non-linear differential equations (and systems of differential equations). In this method -- known as Model Order Reduction (MOR) -- we select several solutions, and approximate a general solution by a linear combination of the selected solutions.
Robles, Salvador   +2 more
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On the σ - reciprocal system for model order reduction

Mathematical Modelling of Systems, 1995
This paper introduces the definition of the \(\sigma\)-reciprocal system. It is shown that generalized singular perturbation approximation for a given system can be converted to direct truncation of the \(\sigma\)-reciprocal system. Some other properties (frequency domain characterization, \(H_\infty\)-norm, etc.) of this system are outlined with ...
MUSCATO, Giovanni, NUNNARI, Giuseppe
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