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The interval tree [5] is an ordered tree used to store intervals of values in 1D.
For instance, an ordered tree with more levels will induce more decisions, but with lower complexity.
The constraint language of these descriptions was introduced by Cornell in computational linguistics; the constraints specify for pairs of nodes sets of admissible relative positions in an ordered tree.
A left-heavy tree of a rooted multi-tree T is an ordered tree τ that has the maximum code δ among all ordered trees of T (hence a left-heavy tree τ is a canonical form and δ is a signature of it when we ignore the multiplicity of rooted multi-trees).
A B+ tree of order m is an ordered tree that satisfies the following properties: (i) each node has at most m children; (ii) each node, except the root, has at least (frac {m}{2}) children; (iii) the root has at least 2 children; (iv) all leaves occur on the same level; and (v) the satellite information is stored in the leaves and only keys and children pointers are stored in the internal nodes.
In the context of CMs an RNA secondary structure is represented as an ordered tree where nodes are states representing base pairs, single nucleotides, insertions or deletions.
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In that center, radiologists used a hierarchically ordered, tree-like reporting system.
We present an efficient algorithm that decides the consistency of partial descriptions of ordered trees.
We discuss the properties of such sets and characterize them in ordered trees.
For example, Figure 6 illustrates δ(τ i ) of ordered trees τ i, i=1,2,3 and M τ2) and M τ3).
For example, Figure 6 illustrates three ordered trees τ1, τ2 and τ3, which are obtained from the same multi-tree T rooted at the centroid, where the number beside each vertex v indicates dfs v).
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