which coincides with Eq. (9) of the main text. Here, Γ is the gamma function. Furthermore, one can demonstrate that P(k) is sharp, by the use of the following theorem: Theorem 1 For any fixed ε > 0 and δ > 0 and for any large enough t, the difference between the...
throughout theN-layer stack. Figure3f shows the largest ellipticity as a function ofN, which exhibits a peak value of 150 mdeg nm−1atN = 16. The decreasing ellipticity with increasingNforN > 16 can be understood as a result of nearly constant CD and linearly increasing stack...
MG Venkata,F Aderholdt,Z Parchman 摘要: The pre-exascale systems are expected to have a significant amount of hierarchical and heterogeneous on-node memory, and this trend of system architecture in extreme-scale systems is expected to continue into the exascale era. Along with hierarchical-...
The presented results illustrate the scope of this current work and include comparisons of the effect on roof pressures of a ridge ventilation slot, of curved as compared with conventional sharp line eaves, and of changing boundary layer roughness. 展开 ...
This paper describes small-scale wind disturbances associated with Typhoon Kelly (October 1987) that were observed by the MU radar, one of the MST (mesosphere, stratosphere, and troposphere) radars, continuously for about 60 hours with fine time and height resolution. First, in order to elucidat...
MUSCLE HYPERTROPHY WITH LARGE-SCALE WEIGHT LOSS: 1006 Muscle hypertrophy with large-scale weight loss and resistance training. Am J Clin Nutr. 1993;58(4):561-5.Donnelly JE, Sharp T, Houmard J, Carlson MG, Hill JO, Whatley JE, Israel RG. 1993. Muscle hypertrophy with large-scale... JE...
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In this paper, we study the mixed Littlewood conjecture with pseudo-absolute values. For any pseudo-absolute-value sequence ${\\mathcal{D}}$ , we obtain a sharp criterion such that for almost every $\\unicode[STIX]{x1D6FC}$ the inequalit... W Liu 被引量: 0发表: 2017年 ...
where r2(μ, β, F) is the explained variance of μ fitted with (β, F). The l0-norm ∥βk,⋅,⋅∥0 gives the number of non-zero coefficients of topic k predictors. The solution varies with the number of topics included in the fitting model. As shown in Table 2, if we all...
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