Abstract: Several algorithms are presented, more or less directly related to the "minimization" theory of Boolean formulas. They give solutions to the following specific problems: computation of the ...

Abstract: We present a method for translating Boolean formulas to CNF by identifying gates with fanout count of 1, and merging them with their fanout gate to generate a single set of equivalent CNF ...

The explosion in artificial intelligence (AI) and machine learning applications is permeating nearly every industry and slice of life. But its growth does not come without irony. While AI exists to ...

Weighted Model counting (WMC) is a fundamental problem in computer science with a wide variety of applications in practice, ranging from neural network verification to network reliability. The current ...

Accepts formulas in an (almost) SMT-LIBv2 format, see full details below. Tested and compared against Z3 over more than four million random formulas. Surprisingly, it is quite faster than Z3 on short ...

Advances in SAT solver technology have enabled many automated analysis and reasoning tools to reduce their input problem to a SAT problem, and then to use an efficient SAT solver to solve the ...

Markers is a parser for boolean formulas. You can provide it an expression like a and not (b or c) as well as variable assignments like a = true, b = false, c = true and Markers will evaluate true and ...

Given a Boolean formula over many variables, how should the variables be set in order to make the formula true? This is a fundamental--indeed, the original--NP-complete problem. Many practical ...