A Preliminary Investigation of Satisfiability Problems Not Harder than 1-in-3-SAT

نویسندگان

  • Victor Lagerkvist
  • Biman Roy
چکیده

The parameterized satisfiability problem over a set of Boolean relations Γ (SAT(Γ)) is the problem of determining whether a conjunctive formula over Γ has at least one model. Due to Schaefer’s dichotomy theorem the computational complexity of SAT(Γ), modulo polynomial-time reductions, has been completely determined: SAT(Γ) is always either tractable or NP-complete. More recently, the problem of studying the relationship between the complexity of the NP-complete cases of SAT(Γ) with restricted notions of reductions has attracted attention. For example, Impagliazzo et al. studied the complexity of k-SAT and proved that the worst-case time complexity increases infinitely often for larger values of k, unless 3-SAT is solvable in subexponential time. In a similar line of research Jonsson et al. studied the complexity of SAT(Γ) with algebraic tools borrowed from clone theory and proved that there exists an NP-complete problem SAT(R 6=6= 6=01 1/3 ) such that there cannot exist any NP-complete SAT(Γ) problem with strictly lower worst-case time complexity: the easiest NP-complete SAT(Γ) problem. In this paper we are interested in classifying the NP-complete SAT(Γ) problems whose worst-case time complexity is lower than 1-in-3-SAT but higher than the easiest problem SAT(R 6= 6= 6=01 1/3 ). Recently it was conjectured that there only exists three satisfiability problems of this form. We prove that this conjecture does not hold and that there is an infinite number of such SAT(Γ) problems. In the process we determine several algebraic properties of 1-in-3-SAT and related problems, which could be of independent interest for constructing exponential-time algorithms. 1998 ACM Subject Classification F.1.3 Complexity Measures and Classes, G.2.0 Discrete Mathematics General

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Using CSP Look-Back Techniques to Solve Exceptionally Hard SAT Instances

While CNF propositional satisfiability (SAT) is a sub-class of the more general constraint satisfaction problem (CSP), conventional wisdom has it that some well-known CSP look-back techniques -including backjumping and learning -are of little use for SAT. We enhance the Tableau SAT algorithm of Crawford and Auton with look-back techniques and evaluate its performance on problems specifically de...

متن کامل

Parallel Resolution of the Satisfiability Problem: A Survey

The past few years have seen enormous progress in the performance of propositional satisfiability (SAT) solvers, and consequently SAT solvers are widely used in industry for many applications. In spite of this progress, there is strong demand for higher SAT algorithms efficiency to solve harder and larger problems. Unfortunately, most modern solvers are sequential and fewer are parallel. Our in...

متن کامل

Model Counting

Propositional model counting or #SAT is the problem of computing the number of models for a given propositional formula, i.e., the number of distinct truth assignments to variables for which the formula evaluates to true. For a proposi-tional formula F , we will use #F to denote the model count of F. This problem is also referred to as the solution counting problem for SAT. It generalizes SAT a...

متن کامل

The Complexity of Optimal Planning and a More Efficient Method for Finding Solutions

We present a faster method of solving optimal planning problems and show that our solution performs up to an order of magnitude faster than Satplan on a variety of problems from the IPC-5 benchmarks. Satplan makes several calls to a SAT solver, discarding learned information with each call. Our planner uses a single call to a SAT solver, eliminating this problem. We explain our technique by des...

متن کامل

Machine Characterizations for Parameterized Complexity Classes Beyond Para-NP

Due to the remarkable power of modern SAT solvers, one can efficiently solve NP-complete problems in many practical settings by encoding them into SAT. However, many important problems in various areas of computer science lie beyond NP, and thus we cannot hope for polynomial-time encodings into SAT. Recent research proposed the use of fixed-parameter tractable (fpt) reductions to provide effici...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 2016