All NP-problems can be solved in polynomial time by accepting networks of splicing processors of constant size

  • Authors:
  • Florin Manea;Carlos Martín-Vide;Victor Mitrana

  • Affiliations:
  • Faculty of Mathematics and Computer Science, University of Bucharest, Bucharest, Romania;Research Group in Mathematical Linguistics, Rovira i Virgili University, Tarragona, Spain;Faculty of Mathematics and Computer Science, University of Bucharest, Bucharest, Romania

  • Venue:
  • DNA'06 Proceedings of the 12th international conference on DNA Computing
  • Year:
  • 2006

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Abstract

In this paper, we present two new results regarding ANSPs. The first one states that every recursively enumerable language can be accepted by an ANSP of size 7 out of which 6 do not depend on the given language. Then we propose a method for constructing, given an NP-language, an ANSP of size 7 accepting that language in polynomial time. Unlike the previous case, all nodes of this ANSP depend on the given language. Since each ANSP may be viewed as a problem solver as shown in [6], the later result may be interpreted as a method for solving every NP-problem in polynomial time by an ANSP of size 7.