By computing, we find that we cannot show that E s ( B 2 − ) < E s ( A 1 ∗ ) by the above method.
After some computing, we find that when c = 1 and c = 1.633 the Hopf bifurcation and flip bifurcation at equilibrium E 2 ( 5 c, 6 − 3 c, 0 ) appears, respectively (Figure 4). Figure 4 The dynamical behaviors of S t − c, I t − c, and Y t − c with b = 0.2, d = 0.2, k = 0.2, m = 0.5, r = 3, β = 0.2, K = 10, and c ∈ [ 0.5, 2.5 ], and the initial value ( S 0, I 0, Y 0 ) = ( 6, 2, 1 ) for model ( 1.2 ).
After giving limits on what Turing Machines can compute, we find that there are still problems that, though solvable by Turing Machines, are not practically solvable by computers today.
Of the 24 computed ESs/SRMs, we found six large ESs and six large SRMs.
Although our main concern was with the minimal perceived difference, differences for all response groups with respect to the neutral category were also computed since we found step-scaled differences to be informative, and we did not know in advance if perceived differences could be monotonically distributed by corresponding distance levels.
In computing the NDHD we found that the hotspot calculated from the MODIS BRDF product is underestimated in comparison with POLDER measurements very near the hotspot.
By implementing our approach on cloud-based GPU computing platforms, we find that the same 2D projections of approximately 3.9 million bags can be obtained in a single day using 400 GPU instances, at a cost of only $0.001 per bag.
Projecting the observed mtSNP matrix into the subspace orthogonal to that of these 40 eigenvalues and computing correlations, we find that the most correlated mtSNP now is 489C with rP = 0.107 with p-value = 0.4 by the permutation test.
To compute the noise, we found the greatest SEM for any point in the concatenated response vector.
In experimental animals, too, with a computed tomography scan we found a more even distribution of chest wall displacement [ 24] when shifting from supine to prone.
