Sentence examples for numerically expected from inspiring English sources

Exact(1)

The temperature compensation is demonstrated by a force measurement with a deviation between the numerically expected and the experimentally extracted value smaller than 15% over the temperature range from 10 °C to 60 °C.

Similar(59)

To do so, we assumed a standard Wright Fisher model of mutation selection drift equilibrium and computed numerically the expected value of DoS as a function of the strength of purifying selection, S = 4 Ne s, acting against a mutation with deleterious effect s segregating in population with effective size Ne (fig. 7).

A simulation-based approach is developed to numerically evaluate the expected cost rate at a given inspection interval.

The presented relationships between noise models and sensor characterization tools can help engineers and scientists numerically verify the expected performance bounds of their systems using simulated signals from commercially available sensors.

We numerically simulated the expected change in the frequency of the f og-2 wt) og-2 wtduring trioecious experimentallelelution in the suduringnd gradual regimes as a functrioeciousexperimentalutcross-fitnevolutioneter.

Haplotype diversity is numerically equivalent to expected heterozygosity in the case of diploid organisms, and is used here instead of π because the latter cannot be readily calculated from short-read data because the linkage of polymorphisms is generally unknown.

While strong sweeps in numerically small populations are expected to result in the fixation of large haplotypes, weak selection in numerically large populations will result in the fixation of only a small core haplotype which may not be detected using this assay.

Different methods for the field-scale estimation of contaminant mass discharge in groundwater at control planes based on multi-level well data are numerically analysed for the expected estimation error.

Thus, the two estimators are expected to achieve numerically identical noise PSD under an ideal condition.

Because of these properties the derived schemes are expected to be numerically stable and yield solutions converging to PDE solutions and sufficiently flexible to treat.

In this work, we shall try to parameterize numerically this difference between the expected nanoclustering effects resulting from destructively embedded MNP (Cu, Ag, and Au) in typical oxide SiO2-type and chalcogenide As(Ge -S(Se)-type Ge -S-forming matriceSe -typeding compoSe -type non-stoichiometry effects in the latter) from a viewpoint of covalent chemical bond (CCB) approach [16–19].

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