The phrase "accelerating function" is correct and usable in written English.
It can be used in contexts related to mathematics, physics, or programming, where it refers to a function that increases in value or speed over time.
Example: "The accelerating function of the vehicle's engine allows it to reach higher speeds quickly."
Alternatives: "increasing function" or "growing function".
In this paper, we study the differences between Fast and TReX acceleration techniques and show that although Fast remains in Presburger logics while accelerating, TReX can produce 1st order arithmetical formulas even when accelerating functions.
This may be explained by the so-called Jensen's inequality, which describes how variance depresses the response variable in decelerating functions and elevates the response variable in accelerating functions [28, 29].
Using a "traffic jam" feature, the car will do all the stop-and-go braking and accelerating functions in heavy traffic all by itself.
This may be explained by the so-called Jensen's inequality, which describes how variance depresses the response variable in decelerating functions and elevates the response variable in accelerating functions [ 28, 29].
Averaged across all 6,324 orthologous genes, the G. pachycheilus branch had a significantly higher ratio of nonsynonymous to synonymous substitutions than other fish branches (Wilcoxon rank sum test, P < 2.2 × 10−), suggesting accelerated function evolution in the G. pachycheilus lineage (fig. 2 B).
Averaged across all 12 protein-coding genes, the ratio of nonsynonymous to synonymous substitutions is significantly higher in most of the Glyptosternoids lineages than observed in other non-Glyptosternoid lineages (Additional file 1: Table S5), suggesting accelerated function evolution in the Glyptosternoids lineages (Fig. 5).
Consider a trait and an accelerating fitness function, for which the benefit of deviating from the population mean in the beneficial direction exceeds the cost of deviating in the opposite, detrimental direction.
Variance in foraging success can be advantageous for accelerating fitness functions, since individuals can disproportionately capitalize on high foraging success.
This paper makes use of the parallel property of GPU and accelerates the function of bitonic sort which in itself is designed explicitly for parallel networks.
