Sentence examples for to improved approximation from inspiring English sources

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The use of variational gradient recovery makes it possible to add high-order background dissipation leading to improved approximation properties in smooth regions.

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If an Activity Area contains pixels, this gives samples from frame to, which leads to improved approximations of the data distributions, as well as better change detection performance.

This leads to an improved approximation of the contribution for the intervals [1.0; 0.9] and [0.1; 0.0] and also decreases the width of the confidence interval from 43.9 to 16.3.

In this article, we present MITSU (Motif discovery by ITerative Sampling and Updating), a novel algorithm for TFBS motif discovery that combines a stochastic version of the EM algorithm with a derived dataset, which leads to an improved approximation of the likelihood function.

Results: We present MITSU (Motif discovery by ITerative Sampling and Updating), a novel algorithm for motif discovery, which combines sEM with an improved approximation to the likelihood function, which is unconstrained with regard to the distribution of motif occurrences within the input dataset.

Ikhdair [9] obtained on the bound state solutions of the Manning Rosen potential including an improved approximation to the orbital centrifugal term.

By employing an improved approximation scheme to deal with the pseudocentrifugal term 1/r 2 and the SUSYQUM technique, We have obtained the energy levels in a closed form and the corresponding wave functions in terms of the hypergeometric function 2 F 1 a, b; c; s).

By presenting an improved approximation analysis for Chan's degree-4 MST algorithm [T.

NPWT dressings are a closed system whereby a vacuum applies subatmospheric pressure to a wound through a porous foam dressing, reducing extravascular pressure and oedema within the compartment, leading to improved circulation, granulation and approximation of wound edges, as well as less bacterial colonisation.

The improved approximations are also seen to considerably reduce the errors and artifacts in non-Cartesian MRI reconstruction.

We show that for the considered problems, a combination of hyperbolic and exponential enrichment functions based on an approximation of the boundary layer leads to improved accuracy compared to the conventional finite element method.

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