Lower bounds for width-restricted clause learning on small width formulas

  • Authors:
  • Eli Ben-Sasson;Jan Johannsen

  • Affiliations:
  • Computer Science Department, Technion – Israel Institute of Technology, Haifa, Israel;Institut für Informatik, LMU München, Munich, Germany

  • Venue:
  • SAT'10 Proceedings of the 13th international conference on Theory and Applications of Satisfiability Testing
  • Year:
  • 2010

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Abstract

It has been observed empirically that clause learning does not significantly improve the performance of a SAT solver when restricted to learning clauses of small width only. This experience is supported by lower bound theorems. It is shown that lower bounds on the runtime of width-restricted clause learning follow from resolution width lower bounds. This yields the first lower bounds on width-restricted clause learning for formulas in 3-CNF.