Sentence examples for minimum achievable values from inspiring English sources

The proposed H∞ filtering algorithm provides a direct method to calculate the minimum achievable values of the threshold γ, based on the existence properties for a bounded solution of the gain matrix equation.

Hence, with the definition of Δ as shown in (36), it is expected that the proposed constrained selection scheme based on linear optimization will guarantee the minimum achievable value of Δ.

This fact also means that packet delay is always the minimum achievable value, i.e., 1 ms. Finally, goodput results of Fig. 19 show how the eOLLA outperforms significantly the traditional OLLA without any extra cost in terms of physical resources usage.

Moreover optimization was done using response optimizer part of Minitab software and the values of target and allowable minimum responses were defined for the software and finally it calculated the maximum achievable values for both of the responses and also corresponding coded values of mixture components.

The distributions of the respectively maximum and minimum achievable (R^{2}_{0 test}) and RMSEtest values are depicted in Figure 5.

These values are in agreement with the maximum and minimum achievable (R_{0 test}^{2}) and RMSEtest values of approximately 0.68 for both metrics.

Consequently, the decision rule only gives the minimum risk if P(M) and P(N) do not change, but if prior probabilities vary, the fixed threshold value no longer gives the minimum achievable risk.

*PIR values at symptom onset show a theoretical minimum, achievable by stopping transmission instantly at symptom onset.

Importantly, this is achieved using DC fields and easily achievable values of applied potential.

These values were consistent with the theoretical maximum and minimum achievable performance, which were 1.42 and 0.35 pGI50 units, respectively, for the RMSEtest and 0.96 and−0.96, respectively, for the R0 test (Supplementary Fig. S3).

For AROR comparisons, we only considered the 1,232 RefSeq transcripts covered by the chromosome 19 & 20 regions on the NimbleGen tiling array, and set a significance cutoff of E< = 5, corresponding to the E-value chosen for the full genome, and also occurring at the minimum achievable False Discovery Rate (FDR) of 0.1.