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Minimal values were set to 1.0 for calculation purposes.
This is in contrast to our findings, where the minimal values were shifted to just after the moment of awakening.
The variance was largest for the signal-to-noise ratio, but minimal values were greater than ten for the P i -resonance.
For numerical answers, the mean, median, standard deviation, as well as maximal and minimal values were determined using Microsoft Excel 2003 and SPSS version 17.
Average values were 1.34 and 1.21, standard errors (SEs) were 0.008 and 0.005, and minimal values were 1.29 and 1.18, for CRR and MCCs ratio, respectively (for both CRR and MCCs ratio, P value < 10−100, Z-test).
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Finally, the minimal values are zero, again suggesting that some developers are in a more favorable situation regarding their effort to coordinate their work.
We show that for most (in the sense of Baire category) problems in the class the sets of minimal values are infinite.
Minimal values are reached at mid upstroke, with lower values, around 20°, for low and high speeds and higher values, around 30°, for intermediate speeds.
Case and co-workers have demonstrated that local χ1 averaging can lead to a broadening of the expected Karplus curves such that the maximal values are reduced and the minimal values are increased.
The optimal control problem of beam transportation from the initial rest position to given terminal states, in which the total mechanical energy of the system reaches its minimal value, is considered.
If this minimal value is positive, then merging of clusters enables variability reduction in all the layers.
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