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Exact(4)
Previous works have proposed simplified expressions with more or less the same order of complexity.
By adding equations related to EC, we keep the same order of complexity.
In fairness, we note that while the precoding methods compared above scale with around the same order of complexity as our proposed CGP algorithm, the power allocation for those methods is of closed form instead of the iterative power allocation of our algorithm.
We have also found that our CGP algorithm scales with about the same order of complexity as the other methods, though since those methods employ a closed-form power allocation compared with our iterative algorithm, the constant on the highest order complexity term for the other methods is smaller than for our CGP method.
Similar(56)
Compared with the existing approaches, the proposed method has the same order of computational complexity.
The resulting algorithms are only linearly implicit and they have the same order of computational complexity, per time step, that any explicit method.
Another advantage of the SPKF over other Kalman generalizations is that it maintains the same order of computational complexity as the EKF.
We propose a new semi-local formulation based on a modified large-eddy diffusivity (LED) approach; the formulation retains most of the accuracy of a fully nonlocal approach while presenting the same order of algorithmic complexity as the standard LED approach.
Although it has the same order of the computational complexity as the synchronization phase; however, has been adjusted close to, and only one frequency estimation task is performed.
Its round complexity is of the same order of magnitude — i.e., Θ(n) rounds — as the best existing algorithms designed with similar settings.
The complexity of the proposed algorithm is of the same order of solving iteratively LP problems, which is a class of problems that can be solved efficiently with many standard optimization tools [33].
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