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The present approach requires considerable less computational time and memory than three-dimensional simulation of a wind turbine rotor by merely CFD methods, while retains the desirable accuracy.
The experiments on the benchmark datasets show that our algorithm can obtain high-quality reconstruction results that are comparable with the state-of-art methods, with considerable less computational time and complexity.
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The latter solves large-scale optimization problems in considerably less computational time.
At lower accuracies, they demand less computational time and computer memory than the alternatives.
The sensitivities computed are shown to agree with standard perturbation theory and require significantly less computational time.
This approach is simpler and requires less computational time.
Considerable less computational efforts of the proposed approaches with respect to the finite element method is observed.
What is more, our method costs less computational time to get error levels less than 10−2.
In some problems, our algorithm takes less computational time and in some other problems GA [34] takes less time.
Results have also impled that MAMPC shares much less computational time in comparision with AMPC.
Thus, our algorithm requires less computational time than the comparison algorithm.
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