Sentence examples for reducing the algorithmic from inspiring English sources

Since reducing the algorithmic processing delay for VoIP applications is crucial, frequency-domain adaptive algorithms with low delay are desirable especially for the identification of long network impulse responses.

The presence or absence of a list of fragments in a given molecule can be summarized in an array called fingerprint, reducing the algorithmic complexity needed to compare two molecules or search for a molecule in a database (for a recent review see [6]).

The key parameters of our scheduling method are mainly the computed MII and U m in Section 4.2.1, the number of symmetric clusters (denoted SymC) in the VLIW core (The method would schedule U m /SymC butterflies per cluster, reducing the algorithmic problem size by a factor of SymC).

The customization reduces the algorithmic knowledge requirements on users and allows users to concentrate on model development and data analysis, rather than programming and compatibility issues.

A continuous multidimensional hyperbolic tangent function is employed for retrieving the jump-like distribution of the indicator function, which avoids the explicit geometric representation of the interface and thus substantially reduces the algorithmic complexity in unstructured grids.

These designs reduce the algorithmic complexity for an N×N network from O N3) to O(1), O(K), and O KN), respectively, where K is the number of optimization steps.

Recently several viewers including SAMtools (Li et al., 2009), MapView (Bao et al., 2009), IGV (http://www.broadinstitute.org/igv), Tablet (Milne et al., 2010) and NGSView (Arner et al., 2010) have been released that aim to reduce the algorithmic complexity and memory footprint.

Thus, the NrABC algorithm reduces the burden of algorithmic parameter setting.

Based on its excellent performance and paradigmatic nature, Consensus is a natural candidate for the investigation of an algorithmic speed-up aimed at reducing the mentioned bottleneck.

For two days, for at least twelve hours a day, we sought a solution; the process required reducing the integral to some identifiable type and then applying a preëxisting algorithmic protocol.

The ultimate goal of this process was to create a single algorithmic process to classify a breast tumour into one of the six clinical classes, while reducing the number of unclassified patients to a minimum.