作者: Tao Jiang , Ming Li
DOI: 10.1016/0304-3975(94)90249-6
关键词: Combinatorics 、 Superstring theory 、 Set (abstract data type) 、 Time complexity 、 String (physics) 、 Open problem 、 Greedy algorithm 、 Linear approximation 、 Hungarian algorithm 、 Mathematics
摘要: Various versions of the shortest common superstring problem play important roles in data compression and DNA sequencing. Only recently, open how to approximate a given set strings was solved [1, 9]. [1] shows that several greedy algorithms produce supeistring length O(n), where n is optimal length. However, major remains open: Can we still linearly polynomial time when required be consistent with some negative strings, i.e., it must not contain any string. The best previous algorithm, Group-Merge [6, 9], produces θ(n log n. make much more difficult and, as will show, greedy-style algorithm cannot achieve linear approximation for this problem.