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The relatively new, modified leapfrog numerical integration method was found to be the most computationally efficient.
Using some test systems these new algorithms are shown to be the most computationally efficient for initial value problems.
Different modelling approaches have been developed but one of the most computationally efficient methodology to predict distortion is the so called inherent strain method.
The results obtained demonstrate that all preconditioners studied in this paper provide good convergence with the continuous method generally being the most computationally efficient.
The proposed behaviour based controller is able to outperform all its opponents in direct competition, and is also the most computationally efficient.
The four-cell method and the simplified method of cells are the most computationally efficient method as compared to other methods.
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Ideally, such a descriptor should be informative, have good correlative abilities in QSAR applications, and most importantly, be computationally efficient.
Various mass distributions are considered in the eigenvalue analysis to determine the most accurate and computationally efficient structural model.
Additionally, we have observed that, with respect to time-step size, the scheme proposed by Bardow et al. (2006) [1] is the most numerically stable and computationally efficient scheme compared to similar schemes, for the flow problems tested here.
For the sagittal segmentation, a 2D-symmetry based algorithm was found to be the most robust, accurate, and computationally efficient.
All ML calculations in this algorithm are performed with a modified version of RAxML [ 21] available at https://github.com/brettc/standard-RAxML because RAxML is the most widely-used and computationally efficient software for analysing extremely large alignments.
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