Abstract
In this paper we examine generalized satisfiability problems with limited variable occurrences. First, we show that 3 occurrences per variable suffice to make these problems as hard as their unrestricted version. Then we focus on generalized satisfiability problems with at most 2 occurrences per variable. It is known that some NP -complete generalized satisfiability problems become polynomially solvable when only 2 occurrences per variable are allowed. We identify two new families of generalized satisfiability problems, called local and binary, that are polynomially solvable when only 2 occurrences per variable are allowed. We achieve this result by means of a reduction to the \(\triangle\)-matroid parity problem, which is another important theme of this work.
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© 2003 Springer-Verlag Berlin Heidelberg
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Dalmau, V., Ford, D.K. (2003). Generalized Satisfiability with Limited Occurrences per Variable: A Study through Delta-Matroid Parity. In: Rovan, B., Vojtáš, P. (eds) Mathematical Foundations of Computer Science 2003. MFCS 2003. Lecture Notes in Computer Science, vol 2747. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-45138-9_30
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DOI: https://doi.org/10.1007/978-3-540-45138-9_30
Publisher Name: Springer, Berlin, Heidelberg
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