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Note that the complexity order is dominated by complex multiplications in this paper.
The complexity order is o(n × m).
Figure 4 Normalised complexity order versus the number of relays.
which is significantly smaller than the complexity order in (28).
The complexity order for greedy algorithm is derived as follows.
For the first term, complexity order is q+2 m-u) whereas complexity order of the second term is only m.
This means that the complexity order is at least O N2).
In fact, application of non-linear functions will not impact the complexity order drastically.
From Eq. (48), we derive the complexity order for exhaustive algorithm as follows.
Such approximations decrease the complexity order in a dramatic way while errors remain small.
However, complexity order of the proposed algorithm also needs to be considered.
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CEO of Professional Science Editing for Scientists @ prosciediting.com