Displaying similar documents to “Approximation algorithms for metric tree cover and generalized tour and tree covers”

Programming and Testing a Two-Tree Algorithm

Vassilev, Tzvetalin, Ammerlaan, Joanna (2013)

Serdica Journal of Computing

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ACM Computing Classification System (1998): G.2.2, F.2.2. Recently, Markov, Vassilev and Manev [2] proposed an algorithm for finding the longest path in 2-trees. In this paper, we describe an implementation of the algorithm. We briefly discuss the algorithm and present example that helps the reader grasp the main algorithmic ideas. Further, we discuss the important stages in the implementation of the algorithm and justify the decisions taken. Then, we present experimental...

The triangles method to build X -trees from incomplete distance matrices

Alain Guénoche, Bruno Leclerc (2001)

RAIRO - Operations Research - Recherche Opérationnelle

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A method to infer X -trees (valued trees having X as set of leaves) from incomplete distance arrays (where some entries are uncertain or unknown) is described. It allows us to build an unrooted tree using only 2 n -3 distance values between the n elements of X , if they fulfill some explicit conditions. This construction is based on the mapping between X -tree and a weighted generalized 2-tree spanning X .

Constrained Steiner trees in Halin graphs

Guangting Chen, Rainer E. Burkard (2003)

RAIRO - Operations Research - Recherche Opérationnelle

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In this paper, we study the problem of computing a minimum cost Steiner tree subject to a weight constraint in a Halin graph where each edge has a nonnegative integer cost and a nonnegative integer weight. We prove the NP-hardness of this problem and present a fully polynomial time approximation scheme for this NP-hard problem.

The color-balanced spanning tree problem

Štefan Berežný, Vladimír Lacko (2005)

Kybernetika

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Suppose a graph G = ( V , E ) whose edges are partitioned into p disjoint categories (colors) is given. In the color-balanced spanning tree problem a spanning tree is looked for that minimizes the variability in the number of edges from different categories. We show that polynomiality of this problem depends on the number p of categories and present some polynomial algorithm.