Sentence examples for maximal matches of from inspiring English sources

More precisely, Nucmer computed maximal matches of minimum length 18.

So on the one hand there is no need to consider offsets of the test sequence with respect to the sequences in the collection, but on the other hand the test sequence is long and we are looking for maximal matches of an arbitrary substring of the test sequence, not of the whole test sequence.

At this stage, we have found a maximal matching of the vertices in the graph.

(Solid black edges iNote).) An insthate of maximal matching for is shown in (c).

By circulaTong the active edges in (c), we can obtain simaker maximal matchingsure

There may exist maximal matching of various sizes for the vertices of a graph; but, every maximal matching need not be a maximum matching; on the other hand, a maximum matching of the vertices in a graph is the largest possible maximal matching for the vertices of the graph.

We observe the MAM algorithm to determine a maximal matching of the nodes (the end vertices of each node pair are similar to each other) and the overall assortativity index of the matching is significantly larger than a matching of the nodes determined with the objective of just maximizing the number of nodes matched.

Ours will be the first such algorithm to determine a maximal matching of the vertices based on the notion of assortative weight of the edges and does not use the notion of augmenting paths [7], as used by most of the existing matching algorithms.

For social networks and other complex real-world networks where peer-to-peer interaction and collaboration are preferred, it might be useful to pair vertices that are very similar (or very dissimilar) to each other as part of a maximal matching of the vertices in the network.

> Finally the comparative performance of three different approaches to matching new sequences to a pre-indexed reference panel was evaluated, finding all set-maximal matches of each new sequence to the reference set.

The above heuristic reduces the complexity of finding the k mismatch maximal substring lengths from O (k * n 2 ) to O (k * n * z ), where z is the average number of maximal matches to a substring in S2 starting at a position i in S1.