Random CNF-XOR Formulas

dc.contributor.advisorVardi, Moshe Yen_US
dc.creatorDudek, Jeffrey Men_US
dc.date.accessioned2017-08-02T14:49:38Zen_US
dc.date.available2017-08-02T14:49:38Zen_US
dc.date.created2017-05en_US
dc.date.issued2017-04-21en_US
dc.date.submittedMay 2017en_US
dc.date.updated2017-08-02T14:49:38Zen_US
dc.description.abstractBoolean Satisfiability (SAT) is fundamental in many diverse areas such as artificial intelligence, formal verification, and biology. Recent universal-hashing based approaches to the problems of sampling and counting crucially depend on the runtime performance of specialized SAT solvers on formulas expressed as the conjunction of both k-CNF constraints and variable-width XOR constraints (known as CNF-XOR formulas), but random CNF-XOR formulas are unexplored in prior work. In this work, we present the first study of random CNF-XOR formulas. We prove that a phase-transition in the satisfiability of random CNF-XOR formulas exists for k=2 and (when the number of k-CNF constraints is small) for k>2. We empirically demonstrate that a state-of-the-art SAT solver scales exponentially on random CNF-XOR formulas across many clause densities, peaking around the empirical phase-transition location. Finally, we prove that the solution space of random CNF-XOR formulas 'shatters' at all nonzero XOR-clause densities into well-separated components.en_US
dc.format.mimetypeapplication/pdfen_US
dc.identifier.citationDudek, Jeffrey M. "Random CNF-XOR Formulas." (2017) Master’s Thesis, Rice University. <a href="https://hdl.handle.net/1911/96156">https://hdl.handle.net/1911/96156</a>.en_US
dc.identifier.urihttps://hdl.handle.net/1911/96156en_US
dc.language.isoengen_US
dc.rightsCopyright is held by the author, unless otherwise indicated. Permission to reuse, publish, or reproduce the work beyond the bounds of fair use or other exemptions to copyright law must be obtained from the copyright holder.en_US
dc.subjectBoolean Satisfiabilityen_US
dc.subjectSATen_US
dc.subjectConstrained Countingen_US
dc.subjectConstrained Samplingen_US
dc.subjectHashing-Based Algorithmsen_US
dc.subjectPhase Transitionen_US
dc.subjectSatisfiability Thresholden_US
dc.titleRandom CNF-XOR Formulasen_US
dc.typeThesisen_US
dc.type.materialTexten_US
thesis.degree.departmentComputer Scienceen_US
thesis.degree.disciplineEngineeringen_US
thesis.degree.grantorRice Universityen_US
thesis.degree.levelMastersen_US
thesis.degree.nameMaster of Scienceen_US
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