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The comparison results with the CellSearch™ system have proven that our method has higher sensitivity, reproducibility and better accuracy.
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Furthermore, we prove that our method has (O frac{1}{n})) convergence rate.
We also prove that our method has (O frac{1}{n})) convergence rate.
We conducted experiments on the network environment, to prove that our method has preferable performance.
These findings prove that our method is a valid approach for evaluating nonlinear optimal solutions.
We prove that our method fulfills the balance condition, and provide a numerical simulation.
It proves that our method may handle exception values well to some extent.
It proves that our method is effective for different values of.
It is also proved that, our method is no more conservative than an existing method in proportional uncertainty case.
We will prove that our method has spectral convergence, and present numerical results to show the performance of the method.
Comparing with the existing solutions, we prove that our method is optimal in terms of the search space.
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