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Both methods were expected to provide optimal solution characteristic by the full accuracy about all three axes, which was confirmed.
The new algorithm retains the full accuracy guarantees of the original FSP approach, but with significantly increased efficiency for some problems and a greater range of applicability.
The resulting method, while not globally monotonicity preserving, allows the full accuracy of the underlying advection scheme to be achieved in smooth regions.
We derived predictor corrector method that retain the full accuracy of the implicit method with minimal stability restrictions on the size of the time step.
This analysis revealed that fewer than half of all multipoint correlators were needed to account for the full accuracy of the extra input nonlinearity model (rightmost bars, Figure 5A).
Nevertheless, the odd class well complemented the HRC, and the full accuracy of the weighted 4-quadrant model was obtained by linearly combining the even = 2 and odd correlation classes (best 2 bar, Figure 3 figure supplement 1B).
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(Mr. Steingarten ended up buying the largest box and engaging Paul Bertolli, the chef at Oliveto in Oakland, Calif., to have a pig from the Napa Valley Lamb Company slaughtered for him to cook in it. "The pig was actually eviscerated in Yuba City," Mr. Steingarten added in what he said was the interest of full accuracy).
This occurs because GS targets a proportion of the genetic variation with full accuracy, whereas selection based on phenotypes targets the full genetic variation with limited accuracy.
However, unlike pressure-correction and velocity-correction schemes, the new splitting schemes are free of splitting errors and deliver full accuracy on the vorticity and the pressure.
The discussion is organized around the full dataset accuracy: When the achievable true accuracy using the full dataset for training is very close to 1, both the 50% allotment and the 67% allotment to the training set result in similar excess error.
If breeding values underlying predicted phenotypes were estimated with full accuracy, the correlation between predicted and observed phenotypes would be equal to the square root of the proportion of phenotypic variance explained by breeding values,.
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