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The total power loss obtained from the 3-D FE simulation allows us to compute the power conversion efficiencies of the eight OPVs and compare the computations against measured results.
Moreover, we will use multipoint correlators as a common basis to compare the computations performed by mechanistically distinct models.
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In Section "Computational complexity analysis", we compare the computation complexity of SIC-MAP-MIMO with similar equalization schemes.
In these experiments, we compare the computation cost of RS processing in three computing paradigms (stand-alone, MPI, and MapReduce).
To compare the computation of different methods, averaging is performed in terms of 100independent implementations.
We compare the computation time with the code Zgoubi for a FODO lattice.
Furthermore, we compare the computation complexity of the proposed algorithm with traditional SLNR and interference alignment algorithm.
We first compare the computation times of the proposed method and other multivariate analysis-based methods in[31] and[35] b.
To compare the computation efficiency between the reduced models, time consumption for the generator tipping event in Fig. 6 is compared with simulation time span of 50s.
To compare the computation time of LM1, LM2, FLOM, and the proposed method, the number of samples (N) plays an important role.
We also compare the computation times of our algorithm and the algorithm for static graphs when the input networks are random graphs.
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