Sentence examples for computationally flexible from inspiring English sources
Computationally flexible EM-type algorithms are developed for parameter estimation of these models under a missing at random (MAR) mechanism.
Unlike a standard dip filter, this filter is computationally flexible, efficient, and necessary in inhomogeneous media with rapid lateral and vertical velocity changes.
Our starting point is Pawitan et al.'s FDR estimation procedure [ 9] because it is computationally flexible to accommodate new changes.
Here, we investigate the energetics of glycan recognition using a computationally inexpensive flexible docking approach, backbone perturbation docking (BP-Dock).
The integration of these two methods can deliver computationally efficient, flexible, and automation-friendly M&S which will create an environment for a more rigorous damage analysis.
Various new structural and algorithmic results are proved (and known results generalized and unified) which show that the approach is computationally efficient and flexible enough to pursue various conflicting demands.
We propose the sequence kernel association test (SKAT), a supervised, flexible, computationally efficient regression method to test for association between genetic variants (common and rare) in a region and a continuous or dichotomous trait while easily adjusting for covariates.
However, in order to make the proposed iterative approach applicable for other related problems briefly discussed in the beginning of this section and also for the optimization over in the sequel, we propose to formulate our optimization problem in the convex form, which has been proven to be computationally efficient and flexible to accommodate even a large number of convex constraints [16].
By inheriting the advantages of the bootstrap method and graph theory, the BootGraph method provides a computationally efficient and flexible probabilistic tractography setup to compute connection probability maps and virtual fiber pathways without the drawbacks of streamline tractography algorithms or the assumption of a noise distribution.
Indeed it promises to be statistically and computationally stable and flexible, and may well be a strong competitor to the frequentist methods.
The results demonstrated that 18S rRNA gene marker analysis could be used to create and run a filtered database, which was very computationally efficient and flexible.
