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The goal of this paper is to develop a method for approximating the regional allocation of defense resources that maintains accuracy while reducing both computational effort and the sensitivity of computation time to network/regional properties.
On the other hand, in the non-linear dynamic analysis of a whole frame, it is highly advantageous to make use of larger scale beam phenomenological models, from the point of view of both computational effort and output data processing.
Therefore, a single snapshot of the gold electrode is used in all simulations as to reasonably simplify both computational effort and image analysis.
In order to make the approximation effective in both computational effort and accuracy, the KLE representation of N x) can be written in a finite form as follows (Liu et al., 2006; Li and Zhang, 2007): N ˜ x = μ x + ∑ n = 1 m ξ n λ n f n x (7).
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The proposed approach exploits a fuzzy clustering criterion that combined With the agent paradigm conceived as a simple and powerful bridge between asynchronous and distributed computation and Matlab environment permits to achieve better results, both in terms of a reduced computational effort and an improved efficiency of the control system over various driving cycles.
These steps increase the computational effort and introduce geometrical errors.
Computational effort and virtual storage reduce significantly due to good convergence.
These problems could be effectively solved with less computational effort and high accuracy.
Current reconstruction methods suffer from high computational effort and arbitrary threshold setting.
This however increases the computational effort, and a trade-off has to be found.
This results in a large computational effort and increased data handling.
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