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Dotted curves and solid lines are measured samples and linear approximations, respectively.
Field samples and linear kneading compacted samples are more susceptible to moisture than the gyratory compacted samples.
The conventional approach for solving the quadratic program takes time cubic in the number of samples and linear in the number of features (Chapelle, 2007).
The time complexity of each of the above algorithms is linear in the number of samples, loci, and populations, i.e., O NLK); in comparison, the time complexity of principal components analysis is quadratic in the number of samples and linear in the number of loci.
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In contrast with traditional Nyquist sampling and linear reconstruction, orthogonal matching pursuit (OMP) algorithm is applied to recover the signal from the chaotic measurements.
Based on the TIN model, applying section scanning sampling and linear interpolation, the transformation from discrete, irregular and diverse data to continuous and regular sampling cross-sectional curve sequence, is realized.
In the offline phase of this approach, the parameter space is sampled and linear ROMs defined by linear reduced operators are pre-computed at the sampled parameter points and stored.
To give a comparison between the KA and local training SMI scheme, Figure 5 demonstrates the benefits of utilizing a priori knowledge for clutter suppression in multichannel SAR/GMTI processing by providing the SINR loss curves concerning the same pixel as in Figure 2 for ideal, sample and linear combination covariance matrix, respectively.
The approach is to assign lower weights to more polluted samples and apply linear weighted fitting.
The N, S-GQDs nanosensing probes can be successfully applied to the sewage and dye wastewater samples and a linear range of 0.1 15 μM with recovery of 96 116% is obtained.
Factorial design of the experiment can be successfully employed to describe the wear behavior of the samples and developed linear equation for predicting wear rate within selected experimental conditions.
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