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Proponents of laser separation claim that the method consumes less energy and wastes less starting material than, for example, gaseous diffusion.
As shown in Table 2, the proposed method consumes less energy than other methods.
The results also show the proposed method consumes less time to calculate SVD values than S-OMP because it deals with a reduced matrix size of Y red ∈ ℂ M × K while S-OMP has to work with a larger matrix of Y ∈ ℂ M × L.
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Figure 13 shows that our method consumed less computing time than the Legendre wavelet method.
The present method is much better than the conventional finite element method (FEM), since it consumes less than 30% of the CPU time required by the conventional FEM to achieve approximately the same accuracy of the lowest five natural frequencies of the "constrained" beam.
The proposed method consumes significantly less dynamic power compared to such greedy methods.
We show that the proposed method consumes significantly less computational effort than a traditional DNS, and can hopefully mitigate the limit by computational burden of the traditional conservation equation based simulations.
In addition, the simulations conducted by ANSYS® using iteration solution method developed in this paper is more efficient and consumes less computer resources than previous methods.
Although Kausar et al. [23] has approximate number of messages that come to us in two phases, the proposed method would consume less energy for L-sensors in large HSNs.
The optimized system consumes less water and foaming agent, and achieves greater dust-suppression efficiency than methods in current use.
The simulation results show that the LRS consumes less power and provides higher performance compared to those of the E2E and S2S methods.
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