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Approximation algorithms for the largest common subtree problem
Abstract: "The largest common subtree problem is to find a largest tree which occurs as a common subgraph in a given collection of trees. Let n denote the number of vertices in the largest tree in the collection. We show that in the case of bounded degree trees, it is possible to achieve an approximation ratio of O(n(log log n)/log²n). For unbounded degree trees, we give an algorithm with approximation ratio O(n(log log n)²/log²n) when the trees are unlabeled. An approximation ratio of O(n(log log n)²/log²n) is also achieved for the case of labeled unbounded degree trees provided the number of distinct labels is O(log[superscript 0(1)]n)."
- "Abstract: "The largest common subtree problem is to find a largest tree which occurs as a common subgraph in a given collection of trees. Let n denote the number of vertices in the largest tree in the collection. We show that in the case of bounded degree trees, it is possible to achieve an approximation ratio of O(n(log log n)/log²n). For unbounded degree trees, we give an algorithm with approximation ratio O(n(log log n)²/log²n) when the trees are unlabeled. An approximation ratio of O(n(log log n)²/log²n) is also achieved for the case of labeled unbounded degree trees provided the number of distinct labels is O(log[superscript 0(1)]n).""@en
- "Approximation algorithms for the largest common subtree problem"@en