Special Issue on “Model Order Reduction of Parameterized Problems”
نویسندگان
چکیده
منابع مشابه
Preface Special Issue on “ Order Reduction of Large - Scale Systems ”
Order reduction is a common theme within the simulation, control, and optimization of complex physical processes. The mathematical models used in these computations often result in large-scale systems. For example, such systems arise due to accuracy requirements on the spatial discretization of fluids or structures, in the context of lumped-circuit approximations of distributed electronic circu...
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In this paper, the state-of-the-art interpolation-based model order reduction methods are applied to parameterized circuit equations. We analyze these methods in great details, through which the advantages and disadvantages of each method are illuminated. The presented model reduction methods are then tested on some circuit models.
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Nowadays we are often confronted with data sets containing many variables, in some cases the number of variables exceeds the sample size. Modeling such data, and in particular high-dimensional data, poses many challenges, often involving complex data structures. Specifically, a range of different models with varying complexity can be considered and a model that is optimal in some sense needs to...
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Time-delay systems (TDSs) frequently arise in circuit simulation especially in high-frequency applications. Model order reduction (MOR) techniques can be used to facilitate the simulation of TDSs. On the other hand, many kinds of variations, such as temperature and geometric uncertainties, can have significant impact on the transient responses of TDSs. Therefore, it is important to preserve par...
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ژورنال
عنوان ژورنال: Mathematical and Computer Modelling of Dynamical Systems
سال: 2011
ISSN: 1387-3954,1744-5051
DOI: 10.1080/13873954.2011.547661