Sentence examples for mapping problem to from inspiring English sources
This paper proposes a novel solution to the mapping problem to helps to overcome such limitations which imposes fewer restrictions than previous proposals.
In this paper, we analyze the properties of moldable jobs and formulate a workflow mapping problem to minimize the dynamic energy consumption of a given workflow request under a deadline constraint in big data systems.
Reduction of the consensus mapping problem to single-dataset mutilocus ordering using the synthetic distance matrix constructed from all datasets seems to be the simplest possible approach to the problem.
Linkage analysis and map construction of SNPs generated by GBS involved use of MultiPoint (http://www.multiqtl.com) based on reduction of the mapping problem to the traveler salesperson and solution heuristic algorithms based on Evolutionary Strategy optimization (Korol 2009; Mester et al. 2003, 2004).
Four major approaches for consensus mapping can be considered: Reducing the consensus-mapping problem to single dataset ordering via constructing the synthetic distance matrix from all datasets (Wu et al. 2002).
Using multiple maps at the same time allows such individual component map problems to be identified and corrected (or excluded from merger).
In word learning, the mapping problem refers to the question of how infants attach the forms of language to the things that they experience in the world.
In the new formulation, the MEC mapping problem is to choose a maximum of W IMCCs, as W wavelengths are available in each optical fiber link.
For shorter reads of length up to a 100 nucleotides, one popular strategy to tackle the mapping problem has been to index the reference genome, and for each read search the index to find the locations that are within a certain edit distance from the read.
In the first approach we derive the adjoint system after mapping the problem to a fixed domain, whereas in the second approach we derive the adjoint directly in the moving domain by employing methods of the noncylindrical calculus.
For example, there is a method mapping the problem to the local-similarity-based Potts model [ 22], which is an intrinsically stochastic method and depends on a temperature-like parameter.
