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Briefly, the developed scheme in [9] adopted a two-step approach: (i) the first-step determined the optimal combination of configurations; it needed to support the traffic demand from a set of small cells, and (ii) the second step consolidated the configurations to further reduce the compute resource usage [9].
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The combination of configuration parameters which makes the fundamental frequency reach the maximum value is provided.
In addition to the usual set-theoretic operators, configuration logic is equipped with a coalescing operator + to express combination of configuration sets.
The first one is called the Time Reversal Method (TRM) and originates from acoustics and the second one is called Linear Combination of Configuration Fields (LCCF) and consists in constructing and solving a linear problem in order to find a possible required source.
As more data is added, more events can be recognized and new responses can be added through a combination of configuration and custom coding if needed.
This section describes the OA testing matrix that provides an efficient combination of configuration parameters to minimize the resource cost from testing.
Rivelino and Vianna [14] utilized a spatially confined linear combination of configuration interaction functions to calculate the compressed helium atom ground state, whereas Marin and Cruz [15, 16] computed it under conditions of impenetrable and penetrable confinement by means of products of uncorrelated exponential functions and a cutoff factor.
Furthermore, using all possible combinations of configurations and bit rate, conditional probabilities of the form Pr kj [BR k |CFG j ] can be calculated.
To optimize this system using the traditional approach, we must evaluate the 256 possible configurations of each of the two workloads pairwise, resulting in a total of 65536 combinations of configurations evaluated.
Landscape composition and configuration indices showed a complementary capacity to explain spatial variation in OES, but combinations of configuration indices showed a higher explanatory value than composition ones.
To optimize over two different workloads that appear at different times, we must (in the worst case) evaluate every combination of application configurations in the first workload and every combination of application configurations in the second workload pairwise.
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