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To avoid excessive computational cost, an adaptive approach for model order selection is presented.
However, its application for reliability analysis is still a challenging problem due to excessive computational cost.
This approach accounts for a large number of pores with a wide size range yet without excessive computational cost.
However, the excessive computational cost produced by repetitively extreme value analysis severely influences the practical application of evidence theory.
In addition, the size of each sub-swarm is set to be fixed which may encounter excessive computational cost.
A mesh of nodes used in particle-in-cell simulations may be refined in some regions to obtain better local spatial resolution without adding excessive computational cost.
Similar(46)
However, computing several engine cycles results in excessive computational costs.
However, grid refinement for the whole reservoir model leads to excessive computational costs.
Adaptation of this theory for large-scale engineering structures is a challenge due to implicit nature of simulations and excessive computational costs.
The adoption of a single iterative loop also renders a very efficient methodology, avoiding the excessive computational costs of sequentially chained iterative cycles.
While non-linear finite element (FE) simulations can improve the design reliability, excessive computational costs are likely to arise in the presence of large pile groups.
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