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Furthermore, numerical models allow for efficient parameter studies or optimisations.
This study employed the featured signals obtained from statistical quartiles/sediment duration curve in mesh segmentation, and an iterative optimization model with a sediment unit response matrix and corresponding geophysical-based acceleration factors, for efficient parameter calibration.
Despite the high degree of complexity of the models due to the various skin and core failure modes that have to be covered, the results correlate well with test data, allowing for efficient parameter studies or detailed evaluations of damage patterns and energy absorption mechanisms.
Reduced Dimension Ensemble Modeling and Parameter estima tion (REDEMPTION) provides a UI for efficient parameter estimation and ensemble modeling based on IPE and IFPE in MATLAB.
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Here we present a method for robust and efficient parameter estimation which uses two main strategies to surmount the aforementioned difficulties: (i) efficient global optimization to deal with nonconvexity, and (ii) proper regularization methods to handle ill-conditioning.
G is an efficient parameter for evaluating approximate lubrication degradation.
Results reveal that spectral correlation and Wigner Ville spectrum or integrated Wigner Ville issued from second-order cyclostationary are an efficient parameter for the early diagnosis of faults in high speed machining, such as chatter, tool wear and bearings, compared to traditional stationary methods.
UD finds good representative points uniformly scattered over the sample space for a much more efficient parameter search.
In other situations, such as for the channel parameter estimation (Efficient parameter estimators which are applicable in the context of filter bank-based multicarrier transmission are presented in [33].), is unknown.
A numerically general multihomogeneous homotopy was used to obtain 834,441 nonsingular solutions, which were then used to construct an efficient parameter homotopy for specific tasks consisting of 11 accuracy points.
QIF is useful for model selection and provides more efficient parameter estimates than GEE.
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