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The aim of this paper is to evaluate the efficiency of this solution by comparing the behaviour of partially closed and open cross-section.
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In this paper, we show that the pattern-based approach improves the efficiency of the solution in comparison with traditional prediction approaches, e.g., based on collaborative filtering.
The efficiency of the solution technique is demonstrated and discussed.
Four hundred elements were found to give sufficient accuracy without impairing the efficiency of the solution method.
Experimental results are provided to illustrate the effectiveness and efficiency of the solution.
The efficiency of the solution technique is tested for two prevalent distribution functions.
The computational results also highlight the efficiency of the solution algorithm.
Numerical results demonstrate the significance of the model as well as the efficiency of the solution algorithm and linear relaxation-based heuristics.
The adaptive mesh enables the appropriate resolution to be applied throughout the whole domain of a problem and so increase the efficiency of the solution procedure.
Numerical experiments are finally conducted to assess the efficiency of the solution algorithm and to show the applicability of the developed model.
To assure the quality and efficiency of the solution for the proposed SA-based heuristic, certain mechanisms are developed and introduced into the heuristic.
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CEO of Professional Science Editing for Scientists @ prosciediting.com