Sentence examples for complement approach from inspiring English sources

Exact(6)

They consist of a velocity pressure coupled approach (FC) and a decoupled, Schur complement approach (SC).

We propose a Schur complement approach to solve the resulting linear systems efficiently.

We next develop a finite element method, propose a Schur complement approach to solve the resulting linear systems, and show several significant simulations, some with pinch-off in finite time.

In the structural characterization of the large molecular secondary metabolite of isp I, LC DAD-UV ESI-MSn anaLC DAD-UV ESI-MSnuciaLC DAD-UV ESI-MSnflow LC–1H NMR meanalysist, with bitesplayedcin used as referencrucial a valuable complement approleh.

Despite that the proposed algorithm is originally developed in order to improve the performance of the two's complement approach, it has also been compared with the redundant SRT algorithm.

Association analysis was performed as a complement approach to QTL mapping, which was implemented using an R package called 'GWAF' that tests genetic association between genotypes and traits by fitting a linear model accounting for within full-sib pedigree correlation.

Similar(54)

This has led to tools to profile the proteome and the metabolome of a cell, tissue or organism to complement approaches using transcriptomics.

In these instances, the method developed by the Vanderbilt team could complement approaches that are focussed on structural changes (Freund et al., 2013).

This approach, whose application in the context of pathways analysis is still largely unexplored, goes in a direction which can valuably complement approaches more extensively offered by the current literature.

Tiling microarray approaches complement bioinformatic approaches to sRNA identification due to their ability to identify sRNAs that have a propensity to be missed by bioinformatic approaches, in particular sRNAs with limited secondary structure.

An additional advantage of working at the fMRI pattern level is that fMRI can detect representations encoded across millions or billions of neurons, including interactions among large-scale brain networks, complementing approaches at finer spatial scales.

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