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It is demonstrated via example that the performance of existing missile autopilot can be improved.
So, it is evident from this example, that the performance of our mesh-free based method M3 is superior to that of mesh-based methods M1 and M2 regarding visual restoration quality (PSNR), the number of iterations, and CPU time of computation.
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Examples that illustrate the performance of the method for mixtures with nonideal phases are presented.
The paper briefly reviews the main features of the CAPTAIN Toolbox, outlines some recent developments and presents a number of examples that demonstrate the performance of these new routines.
We demonstrate on a simple example that: (1) performance can depend crucially on the physical layout of the computational nodes in a system, and (2) evolutionary schemes can be used to find near-optimal solutions to PLP.
This type of method can easily be tailored to preserve geometric properties of the solutions, and we show through several examples that the performance and error behaviour is significantly better than known methods.
Table 12, for example, shows that the performance of the prediction models using the automated clustering and using the manual clustering are similar.
Therefore, such an example shows that the performance degradation due to the activity of PUs can not be counteracted by the only exploitation of path diversity.
Numerical examples show that the performance of the standard hybrid model can be substantially improved by the proposed correction without deteriorating excessively the computational efficiency.
The examples show that the performance improves as the size increases, and that the architecture changes with the size.
The results of design examples demonstrate that the performance of the method can compete with those of optimal methods.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com