Sentence examples for complexity in evaluations from inspiring English sources

By virtue of the Eulerian multiphase model, the present method could significantly reduce the complexity in evaluations of WDR parameters, simplify the boundary condition treatments and is more efficient to predict transient states of WDR, spatial distributions of rain intensity, impacting rain loads on building surfaces, etc.

We have implemented these aforementioned strategies for reducing complexity in our evaluation.

In addition, we employed JM reference encoding software and SIG having large computational complexity in the evaluation.

These observations were intriguing given that only ΔNArm1 155 caused appreciable changes in E-Cadherin levels at the AJ, suggesting that we were missing some level of complexity in our evaluation.

We describe how the FEMHealth research project attempts to address the challenges of complexity in its evaluation of fee exemption policies for maternal care.

Through an efficient simulation of a CSSBN, the computational complexity in the evaluation of a CSPBN is reduced from O nk22 n ) to O nLk2 n ) for computing the STM, where L is a factor related to the required sequence length in CSSBN for achieving a desired accuracy.

Instead the police districting problem has evaluation complexity (see Subsection "Evaluation complexity") in addition to the computational complexity of the graph-partitioning problem.

Simulation results in Sect.6 confirm the significant PAPR reduction gain applying the SQP algorithm over other techniques, and the complexity evaluation in Sect.5 reveals the advantage of the new optimization method comparing the exhaustive search approach in PTS.

In the complexity evaluations, the lower and upper bandwidth employed in the approximation of banded CFR matrix for the conventional MMSE-FDE are evaluated by Q 1=2 as using in [10] and Q 1=15 which corresponds to the same bandwidth as that for the proposed TDE with the parallel block inverse matrix algorithm.

It tries to organize existing and emerging knowledge, tools and terminology into an emergent but useful typology for working with assumptions and complexity in program designs, monitoring and evaluation.

Nevertheless, our results emphasize the role of complexity in the process of diagnostic evaluation of kidney biopsy samples.