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TEP deterministic, stochastic, and all fault classes diagnosis are studied to verify the effectiveness of the proposed method in complex process.
The results show that the proposed algorithm clearly outperforms the RBMCDA method in complex crosses, which are the most challenging interactions.
By taking the advantage of Lyapunov method in complex field and utilizing an impulsive inequality with delays, several synchronization criteria are obtained through strict mathematical proofs.
To facilitate the wide application of the stochastic-process-based method in complex problems, an efficient importance sampling method is then proposed in this paper.
First time the term fractal was used by a young mathematician Gaston Julia [1], when he was studying Cayley 's problem related to the behavior of Newton's method in complex plane.
Even though they suggest an alternative procedure to obtain valid standard errors for the latter group of estimators, the way of implementing such correction method in complex surveys is not clear as far as we know.
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Standard methods in complex function theory, due to Augustin-Louis Cauchy in France and Riemann himself, would give much information about the distribution of prime numbers if it could be shown that all the nontrivial zeros lie on this line a conjecture known as the Riemann hypothesis.
Analytical methods in complex structures are very demanding and sometimes even impossible to be applied.
Following the line of the previous discussion, in this paper, we investigate and compare the matched, mismatched, and robust approaches for inference methods in complex t-distributed data.
The construction of a yacht hull with a patterned sheet of paper unrolled from 3D developable surfaces validates practicality of these methods in complex shape design.
However, analytical limitations, namely the lack of specific and sensitive analytical methods in complex matrixes, did not yet allow to formally assess for the assumption that the increasing production and market volume of NP will ultimately lead to an increase in environmental concentrations.
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