Chapter 11: Q2SE (page 805)
How many nonisomorphic rooted trees are there with six vertices?
Short Answer
Therefore, we have 20 nonisomorphic rooted trees with six vertices.
Chapter 11: Q2SE (page 805)
How many nonisomorphic rooted trees are there with six vertices?
Therefore, we have 20 nonisomorphic rooted trees with six vertices.
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Get started for freeFind the height of \({{\bf{B}}_{\bf{k}}}\). Prove that your answer is correct.
a. Describe Kruskal's algorithm and Prim's algorithm for finding minimum spanning trees.
b. Illustrate how Kruskal's algorithm and Prim's algorithm are used to find a minimum spanning tree, using a weighted graph with at least eight vertices and \(15\) edges.
Show that a subgraph \({\bf{T = }}\left( {{\bf{V,F}}} \right)\) of the graph \({\bf{G = }}\left( {{\bf{V,E}}} \right)\) is an arborescence of G rooted at r if and only if T contains r, T has no simple circuits, and for every vertex \({\bf{v}} \in {\bf{V}}\) other than r, \({\bf{de}}{{\bf{g}}^ - }\left( {\bf{v}} \right){\bf{ = 1}}\) in T.
Sollin's algorithm produces a minimum spanning tree from a connected weighted simple graph \({\bf{G = (V,E)}}\) by successively adding groups of edges. Suppose that the vertices in \({\bf{V}}\) are ordered. This produces an ordering of the edges where \({\bf{\{ }}{{\bf{u}}_{\bf{0}}}{\bf{,}}{{\bf{v}}_{\bf{0}}}{\bf{\} }}\) precedes \({\bf{\{ }}{{\bf{u}}_{\bf{1}}}{\bf{,}}{{\bf{v}}_{\bf{1}}}{\bf{\} }}\) if \({{\bf{u}}_{\bf{0}}}\) precedes \({{\bf{u}}_{\bf{1}}}\) or if \({{\bf{u}}_{\bf{0}}}{\bf{ = }}{{\bf{u}}_{\bf{1}}}\) and \({{\bf{v}}_{\bf{0}}}\) precedes \({{\bf{v}}_{\bf{1}}}\). The algorithm begins by simultaneously choosing the edge of least weight incident to each vertex. The first edge in the ordering is taken in the case of ties. This produces a graph with no simple circuits, that is, a forest of trees (Exercise \({\bf{24}}\) asks for a proof of this fact). Next, simultaneously choose for each tree in the forest the shortest edge between a vertex in this tree and a vertex in a different tree. Again the first edge in the ordering is chosen in the case of ties. (This produces a graph with no simple circuits containing fewer trees than were present before this step; see Exercise \({\bf{24}}\).) Continue the process of simultaneously adding edges connecting trees until \({\bf{n - 1}}\) edges have been chosen. At this stage a minimum spanning tree has been constructed.
Show that the addition of edges at each stage of Sollin’s algorithm produces a forest.
Show that if \(G\) is a weighted graph with distinct edgeweights, then for every simple circuit of \(G\), the edge of maximum weight in this circuit does not belong to anyminimum spanning tree of \(G\).
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