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Subsequence Packing: Complexity, Approximation, and Application

  • Minghui Jiang
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4041)

Abstract

We study the subsequence packing problem: given a string T and a collection of strings {S i }, find disjoint subsequences {T i } of T with maximum total length such that each T i is a subsequence of S i . 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.

Keywords

Greedy Algorithm Approximation Ratio Optimal Packing Longe Common Subsequence Binary Alphabet 
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Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Minghui Jiang
    • 1
  1. 1.Department of Computer ScienceUtah State UniversityLoganUSA

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