Sentence examples for maintaining the computational from inspiring English sources
Furthermore, it increases the security of data but maintaining the computational complexity of standard relational primitives, achieving a fair trade-off between security and performance.
To increase the accuracy, but maintaining the computational efficiency, fracture-matrix coupling is considered only for the basis functions inside the matrix domain.
Finally, Ns = 2 appears optimal for reducing the error in the ns/np condition and maintaining the computational efficiency of the method.
In the present study, primary attention was given to maintaining the computational stability while improving the predictive performance particularly for coarse grid resolution in the near-wall region.
Moreover, there is often a need to consider vehicle/track interaction in more detail than is commonly used in frequency domain models, such as the 2.5D approach, while maintaining the computational efficiency of the latter.
The advantage of the present element over previous RZT beam elements is that no post-processing is required to accurately model the transverse shear stress while maintaining the computational efficiency of a low-order beam element.
In order to maintain the computational efficiency, our method uses only 45 (15× 3) features per frame.
The preconditioned iteration scheme also maintains the computational complexity of the MLFMA, and consequently reduces the total CPU time.
The choice of starting the selection procedure from the first frame of each shot is made for simplicity purposes and in order to maintain the computational complexity of the proposed approach low.
In order to take advantages of the merits of two types of CFD models, a multi-fidelity surrogate modeling is investigated in this research to guarantee the model accuracy as well as to maintain the computational efficiency.
In this article, we propose a new and efficient solution to sparse LP analysis which is based on weighting of the l2-norm objective function so as to maintain the computational tractability of the final optimization problem and to avoid the computational burden of convex programming.
