Sentence examples for optimised boundary from inspiring English sources

In the present work, fluid structure interaction problems are analysed by means of optimised boundary element finite element coupling procedures.

A set of optimised boundary closure schemes is presented for use with compact central finite difference schemes in computational aeroacoustics (CAA) involving non-trivial boundaries.

This paper considers an alternative approach where the shape of the sensor is optimised, and parameterises the sensor boundary using a limited number of boundary points and spline interpolation.

Instead of building a regression curve that fits all the training data, classification algorithms construct a decision boundary that is optimised usually for separating two classes, that is, best (which can be located at the upper or lower tail of the distribution) and worst lines; thus we expect that they might be an alternative approach to regression methods.

Table 8 shows values with emissions from soils included and excluded allowing comparison with existing literature values which have different system assumptions and boundaries; all values are calculated from the optimised gross margin model results, with the exception of winter field beans which is calculated when the net farm energy is maximised.

The approach takes boundary conditions into account and ensures connected and macroscopically optimised microstructures regardless of the difference in micro- and macroscopic length scales.

Assays for the analysis of all coding regions and intron-exon boundaries of BRCA1 and BRCA2 were designed, and optimised.

This paper demonstrates that, when optimised properly, the add-on type leading edge serration can be very effective in both the reduction of the interaction broadband noise, and the suppression of the boundary layer separation at high angle of attack.

Lane boundaries were applied to gels and images which were optimised to reduce the background noise and smiling of lanes (where applicable).

Here, we discuss an alternative method based on Monte Carlo simulation that allows the group size and stopping boundaries of a multi-arm multi-stage t-test to be optimised, according to some nominated optimality criteria.

For example, in Harrat Rahat, where there is strong anisotropic structure (Runge et al. 2014), or dominant alignment directions, the anisotropic kernel based boundary added a large amount of empty space in the directions determined by the SAMSE optimised base kernel, which in turn is strongly influenced by regional vent alignments.