Sentence examples for decreasing computation cost from inspiring English sources
In the interest of decreasing computation cost and increasing computation precision of Monte Carlo method for general dynamics equation (GDE), a new multi-Monte Carlo (MMC) method for particle coagulation is prompted, which has characteristic of time-driven, constant-number and constant-volume Monte Carlo technique.
Lanyi and Andy proposed a new algorithm based on the double-threshold method that is more sensitive, stable, and efficient with decreased computation cost.
This procedure leads to reducing the number of products and therefore decreasing the computation cost and required memories.
In order to extract clinical feature from clinical notes more intentionally, avoiding non-relevant clinical features interfering the final annotation results and decreasing the computation cost, we first collected the most common clinical features from a local copy of the HPO for each genetic disorder.
This approach effectively decreases the computation cost of the distribution sampling from roughly O(n 2) to (Oleft( {frac{{n^{2} }}{k}} right)), where n is the number of atoms, and k is the number of charge-tiers.
It is well established in the literature that, when the number of constraints is very large, the active set identification technique can improve the local convergence behavior and decrease the computation cost of the algorithms of nonlinear programming and minimax problems.
The strategy of clinical feature identification is effectively identify the most common clinical features and dramatically decrease the computation cost as no extraction performed for those non-relevant features.
Besides, Compressed Iterated Bloom Filters also decrease computation.
To decrease computation time, the distance can be approximated using en equirectangular projection.
Accordingly the total number of DOFs used in the dynamic analysis can be drastically decreased to lead to a significant decrease of the computation cost, when compared with the standard finite element method (FEM).
Comparing with the method that designing fuzzy rule base only by PSO or other evolutionary computation methods, the number of parameters to be optimized decreased greatly, and the computation cost declined.
