Recent decades have witnessed remarkable progress in the study of Boolean satisfiability – the problem of determining whether a given propositional formula can be satisfied – and its natural extension ...

Abstract: Optimization problems can be solved using Boolean Satisfiability by mapping them to a sequence of decision problems. Therefore, in the last years several encodings have been developed.

Because Python package dependency resolution is NP-complete, any Boolean satisfiability (SAT) or (0/1 linear) integer programming (IP) problem can be encoded as a package dependency resolution problem ...

Coverity's PR counsel just forwarded me a message from Ben Chelf, clarifying his note posted Wednesday: Thanks for posting Ben Chelf's comments so quickly. Upon reading the posting, Ben realized that ...

Questions Given m expressions involving n boolean variables, figure out how to assign values to these n variables so that all m boolean expressions are true at the same time. There is not always one ...

None of this should be new. Satisfiability of SAT instances is well-known to be NP-complete [CookCook1971], and the language is a reasonably natural one for encoding real-world problems. As we ...

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