Sentence examples for refinement problems from inspiring English sources

Exact(2)

In addition to the refinement problems associated with pseudo symmetry, these structures are also more challenging simply as a result of size.

In a pair of earlier papers the author showed the importance of divergence-free reconstruction in adaptive mesh refinement problems for magnetohydrodynamics (MHD) and the importance of the same for designing robust second order schemes for MHD.

Similar(58)

If n ≥ d + 2, then the Cayley-Menger matrix is singular, namely |M p0,..., p n- 1)| = 0. Now consider the refinement problem for a network with a K4 underlying graph (complete graph with four vertices) with a set of measured internode distances.

The present work is dedicated to the polytomy refinement problem.

The polytomy refinement problem is motivated by the problem of correcting gene trees.

Decoupling the contig refinement problem from the assembly process removes the burden of re-implementing a positional reassembly process for each assembler.

We formalize the contig refinement problem and present an algorithm for positional reassembly that relies on the positional de Bruijn graph.

We formulate the contig refinement problem in a similar manner; that is, as finding a string that explains all occuring positional k-mers.

We introduce the polytomy refinement problem in Section 2, and we show in Section 3 how it reduces to a clique decomposition problem in a graph representing speciation and duplication relationships between the leaves of a polytomy.

The input to the contig refinement problem is the set of k-mers used to assemble a contig, and for each k-mer a position (or positions) where it is presumably contained in the contig, i.e. a multiset of pairs (s k, p), where s k is a k-mer and p is the approximate position.

Given a parameter Δ, we call a positional k-mer (s k, p) valid with respect to a string S if s k appears in S at a position that is within Δ of p. The contig refinement problem: given a multiset of positional \hbox{ k-mers} and a parameter Δ, find a shortest string S that maximizes the total number of valid positional k-mers.

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