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Titlebook: Simulation-Driven Modeling and Optimization; ASDOM, Reykjavik, Au Slawomir Koziel,Leifur Leifsson,Xin-She Yang Conference proceedings 2016

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Numerical Aspects of Model Order Reduction for Gas Transportation Networks,problems can lead to large systems of nonlinear equations that are computationally expensive to solve by themselves, more so if parameter studies are conducted and the system has to be solved repeatedly. The stiffness of the problem adds even more complexity to the solution of these systems. Therefo
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Assessment of Inverse and Direct Methods for Airfoil and Wing Design, here two approaches, the classical inverse design approach that finds the surface which produces desired pressure distributions, and the direct mathematical optimization based on local parameter searches, that is usually enabled by fast gradient computation, for example, by the adjoint method. The
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Performance Optimization of EBG-Based Common Mode Filters for Signal Integrity Applications,lications in modern high-speed digital electronics. There are two major advantages offered by this technology. The first is that it relies on the standard planar layout methodology for filter design, applied to either a printed circuit board (PCB) or packaging materials and technology. The second ad
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Two-Stage Gaussian Process Modeling of Microwave Structures for Design Optimization,g of microwave structures have recently attracted attention; these include support vector regression, Bayesian support vector regression, and Gaussian process regression (GPR). In this chapter, we apply an extended methodology based on GPR, namely two-stage GPR, to the modeling of microwave antennas
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Efficient Reconfigurable Microstrip Patch Antenna Modeling Exploiting Knowledge Based Artificial Ne computationally intensive 3D-Electromagnetic (EM) simulation in design. The reconfigurable microstrip patch antennas have been considered to ensure operational frequencies for different kind of purposes. ANN is used for modeling of antenna design problems to obtain a surrogate based model instead o
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