Sentence examples for reduction of the computation from inspiring English sources

In this paper, we propose a novel hierarchical meshing strategy leading to an important reduction of the computation time.

The novelty of this work lies in the reduction of the computation cost of building the homogenized operator.

Both algorithms have been optimized for modal analysis applications by a significant reduction of the computation time and memory requirements.

Moreover, when point connections are taken into account, only a small part of the WB matrices needs to be recomputed at each iteration, resulting in a strong reduction of the computation time.

Our experimental results indicate that the proposed network performs accurately and efficiently, achieving a reduction of the computation time and increasing the accuracy in the classification of hyperspectral images when compared to other traditional ANN techniques.

This property allows the reduction of the computation load in numeric calculation of the sensitivity trajectories- Simplified equations for gradient and Fisher information matrix calculation using this property are given.

Simplified discretised expressions for the implementation of distributions are formulated, these leading to a reduction of the computations realized when comparing to original definitions.

This can lead to significant reductions of the computation task and time because only a fraction of the workspace may need to be investigated for a symmetric mechanism, the merits of which are especially obvious if discretization algorithms are used.

A numerical study on a benchmark of problems demonstrates the statistical outperformance of the proposed approach vs. others currently available in literature in terms of total supply chain logistic cost saving and reduction of the required computation burden to achieve an optimal design.

The benefit of having a small number of operators is the reduction of computation and the elimination of the need to select the best operator for a given optimization.

Therefore, due to the merit of the high precision rate and the reduction of computation cost, the threshold of unsupervised patterns is set to value 700 for the following experiments.