Sentence examples for numerical functions that from inspiring English sources

But primitive recursive functions are not the only numerical functions that can be calculated.

For instance, SARMs can be easily ranked on the basis of numerical functions that prioritize matrices containing preferred substituent combinations or core structures and SAR transfer events or matrices that capture high degrees of local SAR continuity or discontinuity.

They represent numerical functions that, when constrained to the Boolean range, use only existential quantification.

Its restriction (chi _{T^+}^prime ) to a toral set (T^+ subset widetilde{H}^prime ) is the numerical function that we were led to consider in Sect.

We describe a high-order numerical magnetohydrodynamics (MHD) solver built upon a novel non-linear entropy stable numerical flux function that supports eight travelling wave solutions.

Note that this adjustment cannot be performed if the classifier does not provide probabilistic predictions even if the classifier provides a numerical decision function that serves as a surrogate for classifier confidence (since the decision function may be scaled arbitrarily).

This gives a new proof that all numerical functions representable in that system are polytime.

The FENFCM automatically generated the fuzzy rules from the numerical data and triangular functions that were used as membership functions both in the feature extraction unit and in the inference unit.

We also present numerical integration based on sinc functions that has been mentioned by Stenger [7] and compared block-pulse and Chebyshev wavelet results by sinc method results.

Based on the conclusion from the cross-plots and statistical analysis, we used design of experiments (DoE) and numerical reservoir simulations to develop functions that relate the model parameters and reservoir/well completion properties.

This approach is carried out in two stages: (1) induction of a qualitative model from numerical examples of the behaviour of a physical system, and (2) induction of a numerical regression function that both respects the qualitative constraints and fits the training data numerically.