Subsequence packing: complexity, approximation, and application

  • Authors:
  • Minghui Jiang

  • Affiliations:
  • Department of Computer Science, Utah State University, Logan, Utah

  • Venue:
  • AAIM'06 Proceedings of the Second international conference on Algorithmic Aspects in Information and Management
  • Year:
  • 2006

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Abstract

We study the subsequence packing problem: given a string T and a collection of strings {Si}, find disjoint subsequences {Ti} of T with maximum total length such that each Ti is a subsequence of Si. We prove the NP-completeness of the decision problem, present the first non-trivial deterministic approximation, and show its applications to DNA sequencing verification and preemptive job shop scheduling with two machines.