Incremental algorithms for the maximum internal spanning tree problem

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The maximum internal spanning tree (MIST) problem is utilized to determine a spanning tree in a graph G,with the maximum number of possible internal vertices.The incremental maximum internal spanning tree (IMIST) problem is the incremental version of MIST whose feasible solutions are edge-sequences e1,e2,...,en-1 such that the first k edges form trees for all k ∈[n-1].A solution\'s quality is measured using maxk∈[n-1]opt(G,k)/|In(Tk)| with lower being better.Here,opt(G,k) denotes the number of internal vertices in a tree with k edges in G,which has the largest possible number of internal vertices,and |In(Tk)| is the number of internal vertices in the tree comprising the solution\'s first k edges.We first obtained an IMIST algorithm with a competitive ratio of 2,followed by a 12/7-competitive algorithm based on an approximation algorithm for MIST.
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