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Exact(8)
However, this proven NP-hard problem cannot be approached by exhaustive methods.
However, exhaustive methods used to obtain optimal placements are not tractable for an OFDM symbols with large number of subcarriers.
The method we used incorporates machine learning techniques to generate optimal designs with orders of magnitude better than the mean properties of the input training data, and at a much lower computational cost compared to exhaustive methods.
Therefore, exhaustive methods are computationally infeasible for even moderately sized BRNs.
The length restriction was a requirement for comparison with exhaustive methods.
Exhaustive methods examine all possible SNP-subsets and examples include Multifactor Dimensionality Reduction (MDR) [ 6, 7] and the BCM [ 3] that we describe in the next section.
Similar(52)
For each attribute count specified, Exhaustive Method exhaustively examines each combination of attributes.
The latter research [40] solved the optimal matching problem among services using an exhaustive method.
Generally speaking, the optimal partition results can be found by using the exhaustive method.
Because OPMPD approach estimate the optimal position of each CN based on the partial differentiation and the stepwise strategy, both partial exhaustive method and global exhaustive method are chosen to evaluate the accuracy.
In this section, we establish three quite different simulation environments to evaluate the performance of OPMPD approach and compare it with partial exhaustive method, global exhaustive method, and eigenvalue-based approach.
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