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The obtained results indicate that the proposed method not only successfully detects the location and severity of multi-damage cases in the plate structures, but also show the better efficiency in term of computational cost.
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However, in term of computational costs, the consensus tree based on core genes requires more computational time than the other methods.
Furthermore, the proposed method outperforms other cryptographic-based techniques in-terms of computational cost to generate recommendations.
The advantages and disadvantages of various uncertainty analysis approaches, which use approximate representations of the full nonlinear model using power series or polynomial chaos expansions, are discussed in terms of computational cost and accuracy in computing the shape and tails of the state and output distributions.
The methods are comparable in terms of computational cost as it is the image processing, feature computation and, particularly, the k-means clustering that has the highest cost (the clustering is done over objects and even this evaluation set of ∼12 K images resulted in ∼750 K objects).
Numerical results show not only how the concept of Shock Control Bump (SCB) coupled to CFD can improve aerodynamic performance of classic transonic aerofoil at the variability of flight conditions but also how high performance (parallel/distributed) computation with applying Hybrid-Game increases the efficiency of optimisation in terms of computational cost and results accuracy.
Meanwhile, the SSD method is found to be very efficient in terms of computational cost.
Finally the methodology is simple to implement and reasonable in terms of computational cost.
The proposed method is very simple in terms of computational cost and, therefore, very suitable for real-time implementation.
It is less expansive in terms of computational cost; hence, it can simulate efficiently the structure for higher frequencies.
An Iterative Alternating Direction Implicit (IADI) scheme has certain advantages in terms of computational cost and algorithmic simplicity.
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