Sentence examples for extensive computational cost from inspiring English sources

For such applications, the computational efficiency of the WFEM depends on the choice of the formulation and can lead to numerical issues, worsen by extensive computational cost.

An available numerical technique called finite difference method is first employed to evaluate the effect, which requires extensive computational cost and needs to select a step size.

Fourth, because of extensive computational cost, we randomly selected 40 of 240 informative marker loci as AIMs to compare SA with other methods.

However, due to the extensive computational cost required by SA, we suggest that PCA should be a better choice to conduct population-based association studies correcting for population stratification, especially in the studies that need analyze large amounts of genetic markers.

Due to the extensive computational cost required by SA (1000 simulations using 120 AIMs need at least 30 days of computing time for each parameter setting at our computer cluster), we initially selected 40 of 240 informative marker loci as AIMs to assess the performance of SA.

For pavement cells this restriction led to extensive computational cost and we argue that shell elements are the much better choice here.

Because of the large variation that exists in the thermal conductivity of materials and the geometrical size of structures in the 3D-stacked IC (3D-SIC) network, the extensive computational costs typically render a full-chip-scale numerical simulation impossible.

Even though successful neural network operation requires extensive training for accuracy, the computational cost during operation is infinitesimal.

However, it still required a high computational cost and extensive time to obtain the final model despite using the adjoint technique.

Even in the simplified 3D camera pose subspace [29, 30], non-uniform deblurring methods still suffer the problem of high computational cost or extensive memory burden, placing prominent restriction on its wide applications.

That is, with a sample matrix of the (660,007 (times) 13 -dimension from the given problem, the amount of data exceeds the processing capacity of the traditional Apriori and Eclat techniques using a single machine, which leads to significant computational cost and extensive memory requirements.