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Therefore, escaping from local optimum solutions and finding the global optimal solution would be very difficult in a large problem, even with metaheuristic optimization algorithms.
The optimal solution would be to conduct a time series analysis on historical spam data.
By increasing the perceived service-distance, the optimal solution would be reached earlier in the iteration process, and the covered demand would increase.
The theoretically optimal solution would be to launch the minimal amount of blocks needed to saturate the device and no more.
As translating postures to VR navigation is a first step, an optimal solution would be to map walking movements directly with dedicated hardware, if possible.
The optimal solution would be using the exhaustive search, where the solution is considered optimal from an aspect that the selected co-occurred features achieve the minimum error.
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Obtaining practically good solutions, instead of optimal solutions, would be useful for a large dataset because it may not be easy to solve large-scale mixed integer programs on personal computers or workstations.
If one wishes to move an elevator stopped at one floor to a stop on another floor in the minimum time, the optimal control solution would be to apply maximum acceleration until a switching point where one should switch abruptly to apply maximum deceleration.
As noted in [5], if the projections in (13) were unitary, the optimal SZF waterfilling solution would be obtained.
Optimal-order error analysis for fully regular solution would be given in Section 4 and numerical experiments are performed to verify our theoretical results in Section 5.
One solution would be to set an optimal integration time for each pixel.
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