Abstract
In this paper, graph multiset transformation is introduced and studied as a novel type of parallel graph transformation. The basic idea is that graph transformation rules may be applied to all or at least some members of a multiset of graphs simultaneously providing a computational step with the possibility of massive parallelism in this way. As a consequence, graph problems in the class NP can be solved by a single computation of polynomial length for each input graph.
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Notes
A path is called Hamiltonian if it visits every node exactly once.
The definitions concerning multisets are given in the Appendix.
References
Adleman LM (1994) Molecular computation of solutions to combinatorial problems. Science 266:1021–1024
Ehrig H, Ehrig K, Taentzer G, de Lara J, Varró D, Varró-Gyapai S (2005) Termination criteria for model transformation. In: Cerioli M (ed) Proceedings of fundamental approaches to software engineering (FASE 2005). Lecture notes in Computer science, vol 3442. Springer, Berlin, pp 49–63
Fogel DB (2006) Evolutionary computation: toward a new philosophy of machine intelligence, 3rd edn. IEEE Press, Piscataway, NJ
Godard E, Métivier Y, Mosbah M, Sellami A (2002) Termination detection of distributed algorithms by graph relabelling systems. In: Corradini A, Ehrig H, Kreowski H-J, Rozenberg G (eds) Proceedings of the first international conference on graph transformation (ICGT ’02). Lecture notes in Computer science, vol 2505. Springer, Berlin, pp 106–119
Goldberg DE (2002) The design of innovation: lessons from and for competent genetic algorithms. Addison-Wesley, Reading, MA
Habel A, Plump D (2001) Computational completeness of programming languages based on graph transformation. In: Honsell F, Miculan M (eds) Proceedings of foundations of software science and computation structures (FOSSACS 2001). Lecture Notes in Computer science, vol 2030. Springer, Berlin, pp 230–245
Holland JM (1975) Adaptation in natural and artificial systems. University of Michigan Press, Ann Arbor, MI
Kreowski H-J (2002) A sight-seeing tour of the computational landscape of graph transformation. In: Brauer W, Ehrig H, Karhumäki J, Salomaa A (eds) Formal and natural computing. Essays Dedicated to Grzegorz Rozenberg. Lecture notes in Computer science, vol 2300. Springer, Berlin, pp 119–137
Kreowski H-J, Kuske S (1999a) Graph transformation units and modules. In: Ehrig H, Engels G, Kreowski H-J, Rozenberg G (eds) Handbook of graph grammars and computing by graph transformation, vol 2: applications, languages and tools. World Scientific, Singapore, pp 607–638
Kreowski H-J, Kuske S (1999b) Graph transformation units with interleaving semantics. Form Asp Comput 11(6):690–723
Kreowski H-J, Kuske S (2008) Graph multiset transformation as a framework for massively parallel computation. In: Proceedings of 4th international conference on graph transformations (ICGT 2008). Lecture notes in Computer science, vol 5214. Springer, Heidelberg, pp 351–365
Kreowski H-J, Kuske S, Schürr A (1997) Nested graph transformation units. Int J Softw Eng Knowl Eng 7(4):479–502
Kuske S (2000) More about control conditions for transformation units. In: Ehrig H, Engels G, Kreowski H-J, Rozenberg G (eds) Proceedings of theory and application of graph transformations. Lecture notes in Computer science, vol 1764. Springer, Berlin, pp 323–337
Kuske S (2000) Transformation units—a structuring principle for graph transformation systems. PhD thesis, University of Bremen
Păun G, Rozenberg G, Salomaa A (1998) DNA computing—new computing paradigms. Springer, Berlin
Plump D (1998) Termination of graph rewriting is undecidable. Fundam Inf 33(2):201–209
Acknowledgments
The authors would like to acknowledge that their research ispartially supported by the Collaborative Research Centre 637(Autonomous Cooperating Logistic Processes: A Paradigm Shift and ItsLimitations) funded by the German Research Foundation (DFG). The authors are also grateful to the anonymous reviewers for their valuable comments.
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Appendix
Appendix
This appendix recalls the notions and notations of multisets used in the paper.
-
1.
Let X be a set. Then a multiset (over X) is a mapping \({M:X \rightarrow \mathbb{N}}\), where M(x) is the multiplicity of x in M.
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2.
The carrier of M contains all elements of X with positive multiplicity, i.e.
$$ car(M)=\{x\in X\;\vert\;M(x)>0\}. $$ -
3.
A multiset is finite if its carrier is a finite set.
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4.
Let M and M′ be multisets. Then M′ is a sub-multiset of M, denoted by \(M^{\prime}\leq M\), if \(M^{\prime}(x)\leq M(x)\) for all x \(\in\) X.
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5.
Let M and M′ be multisets. Then the sum (difference) of M and M′ is the multiset defined by
$$ (M\pm M^{\prime})(x)=M(x)\pm M^{\prime}(x) \;\text{for\;all}\;x\in X. $$Here + and − are the usual sum and difference of non-negative integers with \(m-n=0\) if \(m\,\leq\,n\) in particular.
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6.
Using the sum of multisets, the multiplication of multisets with non-negative numbers can be defined inductively for all multisets M by
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(i)
\(0 \cdot M = {\bf 0}\) and
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(ii)
\((k+1) \cdot M = k \cdot M + M\) for all \({k \in {\mathbb{N}}}\)
where the multiset 0 is the multiset with the constant multiplicity 0, i.e. 0(x) = 0 for all \(x \in X\).
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(i)
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7.
Each sequence \(w\in X^{*}\) induces a multiset [w] by counting the number of occurrences of each x in w, i.e., for all x, \(y \in X\) and \(w\in X^{*}\),
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\([\lambda]\)(x) = 0
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\([yw](x)= {if}\ x=y \, then \; [w](x)+1 \, else \, [w](x).\)
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8.
Let M be a finite multiset. Then the set of all sequences w with [w] = M is denoted by Perm(M). An element of Perm(M) is called a sequential representation of M. Note that Perm(M) contains all permutations of w if \([w]=M\).
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9.
The set of multisets over X as well as the set of finite multisets over X give rise to a commutative monoid with the multiset 0 as null and the sum as inner composition. Moreover, the set of finite sultisets over X is generated by the singletons [x] for all x \(\in\) X so that the finite multisets are characterized as the free commutative monoid over X.
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Kreowski, HJ., Kuske, S. Graph multiset transformation: a new framework for massively parallel computation inspired by DNA computing. Nat Comput 10, 961–986 (2011). https://doi.org/10.1007/s11047-010-9245-6
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DOI: https://doi.org/10.1007/s11047-010-9245-6