Generalized satisfiability with limited occurrences per variable: A study through delta-matroid parity

26Citations
Citations of this article
6Readers
Mendeley users who have this article in their library.
Get full text

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 Δ-matroid parity problem, which is another important theme of this work. © Springer-Verlag Berlin Heidelberg 2003.

Cite

CITATION STYLE

APA

Dalmau, V., & Ford, D. K. (2003). Generalized satisfiability with limited occurrences per variable: A study through delta-matroid parity. Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2747, 358–367. https://doi.org/10.1007/978-3-540-45138-9_30

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free