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Level structure

In the mathematical subfield of graph theory a level structure of an undirected graph is a partition of the vertices into subsets that have the same distance from a given root vertex. In the mathematical subfield of graph theory a level structure of an undirected graph is a partition of the vertices into subsets that have the same distance from a given root vertex. Given a connected graph G = (V, E) with V the set of vertices and E the set of edges, and with a root vertex r, the level structure is a partition of the vertices into subsets Li called levels, consisting of the vertices at distance i from r. Equivalently, this set may be defined by setting L0 = {r}, and then, for i > 0, defining Li to be the set of vertices that are neighbors to vertices in Li − 1 but are not themselves in any earlier level. The level structure of a graph can be computed by a variant of breadth first search::176 In a level structure, each edge of G either has both of its endpoints within the same level, or its two endpoints are in consecutive levels. The partition of a graph into its level structure may be used as a heuristic for graph layout problems such as graph bandwidth. The Cuthill–McKee algorithm is a refinement of this idea, based on an additional sorting step within each level. Level structures are also used in algorithms for sparse matrices, and for constructing separators of planar graphs.

[ "Combinatorics", "Vertex (geometry)", "Discrete mathematics", "Atomic physics", "Graph", "Balinski's theorem", "Frequency partition of a graph", "Biconnected graph", "Graph center", "Hypercube graph" ]
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