Sentence examples for algorithmic frameworks from inspiring English sources

The paper mainly covers the fundamental algorithmic frameworks such as decomposition and non-decomposition methods.

As a result, they provide much more reliable statistics in the context of comparing all different algorithmic frameworks (e.g., greedy, OLC and SBH).

Also Sanger-approach remains a statistically reliable source of data and implementations, since there continue to exist an active community of Sanger sequencers, a large amount of data and a variety of algorithmic frameworks dealing with Sanger data.

The procedure described is an attempt at extreme decomposition and parallelization of sequence alignment in anticipation of a volume of genomic sequence data that cannot be met by current algorithmic frameworks.

An algorithmic framework, integrating the sub-gradient algorithm, label-correcting algorithm and K-shortest path algorithm, is designed to minimize the gap between the upper and lower bounds to find near-optimal solutions.

Fully dated species trees presented a greater algorithmic challenge and to obtain our fast O(mnlog n -time algorithm, we developed a n -timelgorithmic fralgorithmhat exploits the structure of fully dated species trees and makes use of recent algorithmic advances on the dynamic range minimum query problem (Brodal et al., 2011).

This research article focus on a recently proposed swarm-based metaheuristic called the Artificial Bee Colony (ABC) algorithm and suggests modification to the algorithmic framework in order to enhance its performance.

Multi-objective evolutionary algorithm based on decomposition (MOEA/D) provides an excellent algorithmic framework for solving multi-objective optimization problems.

The computational speed of RNAfold compares quite favorably to that of the competing implementations, Figure 2B, although all the implementations of thermodynamic folding algorithms use essentially the same energy model and algorithmic framework, and hence have the same asymptotic runtime and memory consumption.

Results: In this article, we present an algorithmic framework, which we term DELISHUS, that implements three exact algorithms for inferring regions of hemizygosity containing genomic deletions of all sizes and frequencies in SNP genotype data.

Algorithms are an easy way out, because they allow us to take the messiness of human life, the tangled web of relationships and potential matches, and do one of two things: Apply a clear, algorithmic framework to deal with it, or just let the actual algorithm make the choice for us.