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Extensive numerical examples show that computing curve intersection by homotopy methods has better accuracy, efficiency and robustness than by the Ehrlich Aberth iteration method.
The results indicate that the CCHP system with both TIT and IAT control methods has better off-design performance than separate system except for transition seasons.
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In general, nonstandard finite difference methods have better numerical stability than the standard finite difference method.
In comparison with the non-destructive methods, the destructive methods have better reliability and accuracy.
In the presence of outliers, the proposed nonparametric methods have better power than their parametric counterparts.
Wrapper methods have better performance when the sample size is sufficiently large.
These methods have better detection performances than the 2D methods (2D BF, 2D Capon and MUSICAL) and than D-BF.
Conversely, for Δ<0, the proposed method is not able to reliably detect double MP3 compression, whereas the other methods have better performances.
Since the intersection-based TDE combination methods have better variance, they offer more evidence for the sound source and therefore their convergence is also faster.
Comparison of the results indicates that the ANN and WNN as nonlinear methods have better predictive power than the linear methods.
In comparison to deterministic global optimization algorithms, metaheuristic methods have better computational scalability.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com