Sentence examples for improving deviations from inspiring English sources

Exact(1)

Recognizing this problem, Bernheim et al. [44] introduced the notion of coalition-proof Nash equilibrium, which requires only that an agreement be immune to improving deviations which are self-enforcing.

Similar(59)

The comparison of the four heuristic algorithms leads to the conclusion that the proposed threshold accepting is more efficient, since it improves cost results of the random walk and descent local search by 7.5%and1.4%4%, respectively, while improving deviation of random results of the simulated annealing.

For a coalition of more than one player, a deviation is self-enforcing if (1) it is profitable for all its members and (2) if there is no further self-enforcing and improving deviation available to a proper sub-coalition of players.

It is clear that the mixed strategy is not resistant to an improving deviation.

Please note its uncertainties due to potential differences between countries in improving safety, deviations from linearity of the growth of X-ray communities, and errors in our Chapman population estimates.

When the Jason-1 satellite is added to the multi-satellite solution (orbit of inclination of 66° complements the polar-orbiting satellites), the stability of the geocenter Z-translation is improved (standard deviation of 11.5 mm against 16.5 mm).

Exclusion of the lower biodegradation value (1%) submitted by laboratory 3, resulted in a higher degradation (58%) and improved standard deviation value for isoFA + 7EO.

Exclusion of these two values resulted in higher degradation and improved standard deviation values for these two test products but does not change the overall conclusion that both these products are efficiently anaerobically degraded.

However, apart from improved ulnar deviation in the ORIF group, the superiority in radiographic parameters does not translate to better functional outcomes in the DASH and MAYO wrist scores, strength, pain score and range of motion (flexion, extension and radial deviation).

This approach is the scientific approach for reducing the deviations and improving the capability levels of the manufacturing processes.

Results clearly demonstrated that merging the PXRF and VisNIR datasets improved the power of predictive models by improving the residual prediction deviation (RPD) and R2 statistics.

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