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Pumped hydropower energy storage method is significantly used for grid electricity storage requirements.
The scope and efficiency of this new green method is significantly better than the existing methods.
Compared to commercial finite element packages, the method is significantly faster ( > 1000X) and robustly converges.
Data requirement for the proposed method is significantly lower than the previous top-down and bottom-up approaches.
We give the performance characterization and show that this method is significantly more robust and efficient than previous methods.
The method is significantly more memory-efficient than the conventional computation of pseudoinverses by singular value decomposition.
The sensitivity of the method is significantly increased by the PCR amplification of the hybridized and eluted probes.
The objective is to check whether one input method is significantly better than the other, according to their precision.
We also demonstrate that the execution complexity of our method is significantly efficient, especially in high-dimensional data.
We find that the method is significantly faster than KMC while accounting for stochastic fluctuations in a comparable way.
For SEC-viscometry with universal calibration the conventional method is significantly more accurate than the volume shift method.
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