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24 Mar 2010: 100 200 500 1000 2000. 0.00. 10. 002. 0.00. 5. n. ... 03. 2e. 03. n. estim. ated. MIS. E. (a). 100 200 500 1000 2000.

1 Oct 2003: 50. 100. 150. 200. 250. 300. 350. 400. Time (s). Use. ... 50. 100. 150. 200. 250. 300. 350. Time (s). Thro. ughp.

28 Feb 2016: For example,if (n1,n2,n3,n4) = (1, 10, 1, 10), the calculation (M1M2)M3 requires 20 scalar multiplications, butthe calculation M1(M2M3) requires 200 scalar multiplications.

10 Nov 2010: ODE approximations to some Markov chain. models. Perla Sousi. January 13, 2009. Contents. 1 Fluid limits and homogenization 2. 1.1 General theory. 2. 1.2 Homogenization. 4. 2 Approximation to the viral model 6. 2.1 Introduction. 6. 2.2 Finding the

29 May 2002: The delays for returning marks to the sending userare TT O = 200 and TRT T = 100 time slots.

16 Oct 2010: For example, if (n1, n2, n3, n4) = (1, 10, 1, 10), the calculation (M1M2)M3requires 20 scalar multiplications, but the calculation M1(M2M3) requires 200 scalarmultiplications.

19 Nov 2004: The mean holding time of streamingtraffic (1/ηr,r R) was taken to be 200 seconds, corresponding to voice traffic, with the meanfile size (1/µr,r R) taken to be

21 Sep 2005: Samples for 200 data points are shown below. 1 50 100 150 200. ... φ1 =1. 2. 1 50 100 150 200. φ1 = 1.

9 Jun 2016: We consider a linear modelwith interactions involving a design matrix X Rnp with n = 200, p = 500 and where. ... error rates over 200 training–testing splits aregiven, with standard deviations of the results divided by.

23 Oct 2016: Fixingn = 1000, p = 200, d = 10 and θ = 1, we found that our bound (2) from Theorem 2 was animprovement over that from (1) in every one of 100 independent datasets