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The specific approaches presented here include multi-fidelity optimization, adaptive design specifications and space mapping with kriging-based coarse models.
Temporal subsampling-based MDC performs better at moderate redundancies as well as low redundancies for spatially coarse models.
A more precise fatigue strength prediction can be achieved using the refined model while the coarse models result in a conservative design.
By quantifying the upscaling errors using well-defined metrics, the contribution of each component of the overall procedure to the accuracy of the coarse models is assessed.
Application of the overall upscaling methodology is shown to provide significantly more accurate coarse models than those generated using standard procedures.
The coordination is lightweight in the sense that it allows a programming-free definition of system-level behaviours (in this case complex test cases) based on the coarse models of the functionalities.
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Then, after the coarse model computation, the coarse model currents i c (t) can be obtained.
We name this existing model as the coarse model.
Let x be a generic variable in the coarse model.
Fig. 3 Comparison between the pHEMT device data, coarse model, and three Neuro-SM models.
Therefore, as a first approximation, a coarse model was deemed sufficient.
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