Sentence examples for computational rigor from inspiring English sources

An effective bead spring model combining the advantages of large time steps of traditional bead rod models and computational rigor of traditional bead spring models is proposed to simulate the dynamic behaviors of flexible polymer chains with arbitrary longitudinal stiffness.

In addition to building better algorithms to support or refute phylogeny based on 16S rRNA, we should apply computational rigor to other theoretical concepts of genomic evolution, and then process the vast post-genomic dataset to determine what ideas can withstand scrutiny.

The neural network of the retina has a long tradition as a system of investigation that combines excellent experimental accessibility and computational rigor in the applied models (Spekreijse 1969; Marmarelis and Naka 1972; Levick et al. 1983; Victor 1987; Sakai 1992; Meister and Berry 1999; Keat et al. 2001; van Hateren et al. 2002; Pillow et al. 2005).

Despite their lack of statistical rigor their computational efficiency makes them a valuable tool for initial analysis.

The presented results take advantage of the special structure that exists in the considered RAS classes, and they are characterized by their analytical rigor and computational tractability.

The presented results take advantage of the special structure that exists in the considered RAS classes, and are further characterized by, both, their analytical rigor and computational tractability.

The formulation has been simplified in order to reduce the computational cost while ensuring the rigor necessary to achieve safe designs.

This chapter is organized around categorization of modeling approaches by level of theory (i.e., amount of rigor in the computational approach) and system size (i.e., extent of the biochemical system modeled).

Recently, a method has been championed that combines some of the computational simplicity of the DerSimonian and Laird method, with the rigor and accuracy of likelihood based approaches.

Alchemical free energy calculations and steered methods based on all-atom molecular dynamics (MD) simulation in explicit solvent are the typical approaches that operate at the highest level of theoretical rigor and that are also accessible to current typical levels of computational power.

Verheijen [ 18] presented an overview of model selection practices, highlighting the main criteria for choosing out of a large set of models: level of rigor, accuracy with respect to data, adequacy of the model, and its flexibility and computational complexity.