Sentence examples for class of trees from inspiring English sources

Mathematical methods are required, like having a computer generate all possible trees -- a number that quickly runs way beyond the trillions -- and then deciding statistically which class of trees is more probable than the rest.

Continuing on, it is also a living thing and so belongs in a class whose extension is wider still than the class of trees.

It is also, however, a tree and so belongs in a broader class, namely the class of trees, whose extension is wider than the class of maples.

In this paper, we propose a formal definition of a new class of trees called semi-ordered trees and a polynomial dynamic programming algorithm to compute a constrained edit distance between such trees.

As shown by Nakano and Uno [29, 30], the class of trees admits a nice scheme for computer representation of their structures (called "left-heavy trees") which enables us to generate trees significantly faster (in constant time per tree) without executing any explicit test on the uniqueness of structure representations of temporarily generated labeled graphs.

We proved this conjecture in [S. Wagner, A class of trees and its Wiener index, Acta Appl. Math. 91 (20062006) 119 132; H. Wang, G. Yu, All but 49 numbers are Wiener indices of trees, Acta Appl. Math. 92 (1) (2006) 15 20] However, more realistic molecular graphs are trees with degree ≤3 and the so-called hexagon type graphs.

The paper presents a dynamic programming algorithm for planning ATM network layouts with minimal total hop count for one-to-many requirements under load constraints over the class of tree networks.

In this article, we focus on the class of tree-shaped biological genealogies.

In Cardona et al. (2007) we introduced the μ-representation for the class of tree-child phylogenetic networks.

In our previous paper (Cardona et al., 2007) we considered the class of tree-child phylogenetic networks, that is, those networks where every internal node has at least one tree child.

The general edit distance algorithm is a classic editing type algorithm for RNA comparison, whereas RNAforester represents the class of tree alignment-based algorithms, which can be due to their working principle much faster, but are less accurate than editing algorithms.