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Experimental results show that the algorithm is effective.
At last, simulated results demonstrate that the algorithm is effective and feasible.
A numerical example shows that the algorithm is effective and robust with respect to sinusoidal disturbances.
The validation shows that the algorithm is effective and stable, with observed accuracy consistent with our design.
A numerical simulation shows that the algorithm is effective and easily implemented, and the designed tracking controller is robust with respect to the sinusoidal disturbances.
It is shown that the algorithm is effective for topology optimization of real-life roof structures with complex curvatures in multiple planes.
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However, to ensure that the algorithms are effective they need to be evaluated.
The numerical examples illustrate that the acceleration of the Mann algorithm is effective, however, the acceleration of the CQ algorithm is ineffective.
The result shows that the genetic algorithm is effective in the optimal design of the CTA interior ballistics.
The experimental results show that the proposed algorithm is effective in improving the classification robustness.
Comprehensive computer simulation and numerical calculations show that the proposed method is theoretically correct and the programmed algorithm is effective in the image reconstruction.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com