Excellent agreement between the computed low-frequency responses and those predicted by simple engineering theories validates the detailed formulations of the paper.
The computed low-energy ensembles, with tight crystal-structure-like packing in the core, but more NMR-structure-like variability in loops, may in some cases resemble the native state ensembles of proteins better than individual crystal or NMR structures, and can suggest experimentally testable hypotheses relating alternative states and structural heterogeneity to function.
The DLSS MC procedure is computationally efficient, however, it is only applicable for computing low order indices.
We use the induced electric current as the main electromagnetic variable to compute low magnetic Reynolds number magnetohydrodynamic (MHD) flows.
In this paper, a parallel message-passing decoding algorithm for computing low density parity check (LDPC) syndromes is applied through the Compute Unified Device Architecture (CUDA) based on General Purpose Graphics Processing Unit (GPGPU).
Computing low blood glucose index is of particular importance as it is a good predictor of hypoglycemia (10– 10).
Locally linear embedding (LLE) [ 43] is a recently proposed unsupervised learning algorithm to compute low dimensional embedding of high dimensional data, while neighbourhood relationship is preserved.
The dwSSA computes low variance biasing parameters by minimizing cross entropy using a modified version of Rubinstein's multilevel cross-entropy method [ 17, 18].
LSA is a method that basically uses SVD to reduce the dimension according to singular values, while LLE and Isomap both compute low dimensional embedding based on k nearest neighbours.
We have experimented with other ideas of enumerating promising shapes, such as (i) using a precompiled library of frequently encountered shapes, or (ii) always computing low complexity shapes (such as ) first.
