A Graph-Transformational Approach for Proving the Correctness of Reductions between NP-Problems

Hans-Jörg Kreowski
(University of Bremen)
Sabine Kuske
(University of Bremen)
Aaron Lye
(University of Bremen)
Aljoscha Windhorst
(University of Bremen)

The complexity class NP of decision problems that can be solved nondeterministically in polynomial time is of great theoretical and practical importance where the notion of polynomial-time reductions between NP-problems is a key concept for the study of NP. As many typical NP-problems are naturally described as graph problems, they and their reductions are obvious candidates to be investigated by graph-transformational means. In this paper, we propose such a graph-transformational approach for proving the correctness of reductions between NP-problems.

In Reiko Heckel and Christopher M. Poskitt: Proceedings of the Thirteenth International Workshop on Graph Computation Models (GCM 2022), Nantes, France, 6th July 2022, Electronic Proceedings in Theoretical Computer Science 374, pp. 76–93.
Published: 22nd December 2022.

ArXived at: https://dx.doi.org/10.4204/EPTCS.374.7 bibtex PDF
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