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We demonstrate that not only the SRK scheme is efficient compared to the split step spectral methods, but it can apply directly to problems with general boundary conditions.
As shown, experimentally, the proposed adaptive Gaussian kernel is efficient compared to the conventional filter.
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It is not fully demonstrated if partitioning methods can be applied to protein sequence data and if these methods can be efficient compared to the published clustering methods.
When patients with cirrhosis are considered, for genotype 1 all new treatments are efficient compared to the standard care of treatment, whereas adjacent ICERs show that sofosbuvir + peginterferon + ribavrin and Viekira Pak are both inefficient compared to Harvoni with higher costs and lower QALYs.
From the results it can be observed that the LCN is more efficient compared to the PID controller.
It is shown that the proposed method is very efficient, compared to the ones that use algorithms for discrete-time periodic algebraic Riccati equation.
It has also been shown that for model parameter identification, the multi-objective calibration approach is more efficient compared to the stepwise calibration technique, which is traditionally used for hydrological water quality modelling (e.g. [32, 33]).
It is also observed that the present approach is computationally efficient compared to the other existing approaches in a given environment.
This new method is very efficient compared to the previous methods, because it is analytical and avoids carrying out several integrations as in the case in the Rayleigh Ritz method.
The simultaneous estimation of the model, which is also applied in Arnberg and Bjorner (2007), is more efficient compared to the equation-by-equation OLS estimation and allows for a straightforward implementation of the various parameter restrictions.
In the MPC algorithm which is more efficient compared to the two previous ones, each edge is weighted by a combination of the transmission and idle powers of the node.
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