Sentence examples for improved computational cost from inspiring English sources
Improved computational cost and accuracy of the above TIM approach.
Numerical experiments of a three-dimensional space-fractional diffusion equation show that these both fast methods retain the same accuracy as the regular three-dimensional implicit finite difference method, but have significantly improved computational cost and memory requirement.
Our proposed DLP algorithm has clear advantages over the DLS algorithm in term of lower probability of revealing the user's real location and improved computational cost and efficiency (i.e., time, speed, accuracy, and complexity) while preserve the same privacy level as DLS algorithm.
Each representation of a motion can be normalized to improve computational cost and storage utilization.
This greatly improves computational cost and efficiency and is the most appropriate mode of processing for SC-FDMA FD equalization.
The generation of such methylomes is now affordable due to a considerable reduction in next-generation sequencing costs, improved computational expertise and emerging technologies that use lower DNA input, such as tagmentation-based WGBS.
There is, therefore, a quest to improve the computational cost of the correntropy that may, or may not, involve approximations of the measure.
Thereby, we can achieve a reduction in the number of test generated data, improving the computational cost and the effort required to analyze the output data.
Tang et al. expanded on this algorithm to improve the computational cost and accuracy with drug screen data with little overlap between drug target profiles [60].
The shortest path approach for ICE described in this article addresses many of the previous approach's limitations and dramatically improves the computational cost.
There are two settings where computations are extremely expensive, and where we have developed new algorithms to improve their computational cost: The first is when the background kernel is full rank, such as would occur when using a background kernel computed from all SNPs, when that number of SNPs is greater than the number of individuals.
