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CPU (sec).
k CPU (sec).
k l CPU (Sec).
Table 5 Numerical results for different ε Different ε The method in [18] The proposed method k l CPU (Sec).
Table 1 Numerical results for the problem ( 6.1 ) with r = s = 0.8 Dimension of the problem The proposed method The method in [19] k CPU (sec).
Table 1 Numerical results for problem ( 4.1 ) with (pmb{r_{1}=0.5}), (pmb{r_{2}=5}) Dimension of the problem The proposed method The method in [ 18 ] The method in [ 17 ] k CPU (Sec).
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Table 8 Decision matrix w (score) CPU time (sec).
Method CPU Time (sec) Color histogram 0.0180 Motion-vector likelihoods [28] 0.3991 Correlation-based [27] 0.0270 Kernel-correlation [25] (with kernel) 0.9515 Proposed adaptive scheme 0.1210.
As can be seen in Fig. 6 d, the error of two magnitudes lower then the one provided by the SSA is obtained for the same cpu-time, 200 sec.
The processing time is equal to 5.27 sec (5.836 CPU).
Moreover, the CPU time is 0.03 (sec), which suggests that the proposed method might work efficiently for real medium-size networks.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com