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In fact, we checked that the times to compute the step sizes for FR, DY, and HZ account for 92.672202%, 87.156303%, and 83.700936% of all the computational times, while the times to compute the step sizes for PRP+ and HS+ account for 60.725204% and 60.889635% of all the computational times.
Easy provision of many computers allowed us to speed up the computational times by an order of magnitude.
Note that the computational times of Figure 9 were obtained with a computer having the following configuration: RAM 3.8 GB, CPU 1.6 GHz and those of Table 1 with a computer having the following configuration: RAM 33 GB, CPU 8 × 2.3 GHz.
Nefedov and Sadygov 26 present a parallel method for enumerating all amino acid compositions up to a given length and discuss about the computational times for their proposed method, which was executed on a HPC cluster computer.
In Table 2, we present the approximations of the floating potential α and the computational times.
Table 2 shows the number of iterations and the computational times required by the different algorithms.
Table 3 reports the computational times between A* and our MRA*.
In Figure 5, we also present the computational times for the multicore HP Proliant SL390.
Here the computational times of the single layer approach are smaller.
In the examples above, we do not show the computational times of the different methods.
The computational times (second) are also given in Fig. 4 e.
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