Sentence examples for between the accuracy solution from inspiring English sources

(4.1) to find the solution for the 2D Sobolev equations, the error estimates between the accuracy solution and the fully discrete FVE solutions only have the first-order accuracy in time as follows (see [19]): biglVert u(t_{n} -u_{h}^{n}bigrVert_{n} -u_{h(k+h), quad n=1,2,ldots,N.

Theorem 4.2 Under the hypotheses of Theorem  4.1, we have the following error estimates between the accuracy solution for the traffic flow LWR model and the solutions of the POD-based reduced-order FDEA (17) and (18): | ρ ( x i, t n ) − ρ i ∗ n | = O ( C n λ M + 1, Δ x 2, Δ t 2 ), 1 ≤ i ≤ I, 1 ≤ n ≤ N. (25).

There is clear trade-off between the accuracy of solutions and efficiency.

The size of gap between the accuracy of current heuristic solutions and optimal solutions, observed in this study, suggests that the protein structure alignment problem will likely remain a hot topic in years to come.

The significance and advantages of our implementation, which revolve around balancing between the solution accuracy and implementation difficulties, are briefly discussed as well.

However, a distinction in performance between the three models can be made based on accuracy, solution generation time and numerical stability.

Therefore, by making a suitable compromise between the accuracy level and the computational load, an appropriate solution can be devised for a specific application.

This suggests a solution to the apparent discrepancy between the accuracy of patterning processes and the limits on the precision of morphogen gradients (Bollenbach et al., 2008; Gregor et al., 2007; Jaeger and Reinitz, 2006; Manu et al., 2009a).

Thus, a suitable solution can be proposed for a given application by making an appropriate tradeoff between the accuracy level and the computational load.

the trade off between the accuracy of the recommendations and privacy is always apparent.

The accuracy between the ideal solution and the objective values is evaluated handling the fuzzy parameters through their expected intervals and using discrepancy between fuzzy numbers in our analysis.