Boolean Satisfiability with Transitivity Constraints

Abstract

We consider a variant of the Boolean satisfiability problem where a subset E of the propositional variables appearing in formula Fsat encode a symmetric, transitive, binary relation over N elements. Each of these relational variables, Ei,j for 1<i<j<N, expresses whether or not the relation holds between elements i and j. The task is to either find a satisfying assignment to Fsat that also satisfies all transitivity constraints over the relational variables (e.g., E1,2 relation E2,3 satisfied E1,3), or to prove that no such assignment exists. Solving this satisfiability problem is the final and most difficult step in our decision procedure for a logic of equality with uninterpreted functions. This procedure forms the core of our tool for verifying pipelined microprocessors. To use a conventional Boolean satisfiability checker, we augment the set of clauses expressing Fsat with clauses expressing the transitivity constraints. We consider methods to reduce the number of such clauses based on the sparse structure of the relational variables. To use Ordered Binary Decision Diagrams (OBDDs), we show that for some sets E, the OBDD representation of the transitivity constraints has exponential size for all possible variable orderings. By considering only those relational variables that occur in the OBDD representation of Fsat, our experiments show that we can readily construct an OBDD representation of the relevant transitivity constraints and thus solve the constrained satisfiability problem.

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Document Details

Document Type
Technical Report
Publication Date
Jun 01, 2000
Accession Number
ADA382689

Entities

People

  • Miroslav N. Velev
  • Randal E. Bryan

Organizations

  • Carnegie Mellon University

Tags

Communities of Interest

  • Air Platforms
  • Human Systems

DTIC Thesaurus Topics

  • Algorithms
  • Coding
  • Computer Science
  • Computers
  • Debugging
  • Demographic Cohorts
  • Elimination
  • Equations
  • Guarantees
  • Instructions
  • Microprocessors
  • Pipelines
  • Semiconductors
  • Sequences
  • Terminals
  • Verification

Fields of Study

  • Computer science

Readers

  • Applied Combinatorial Optimization and Logic Circuit Design.
  • Graph Algorithms and Convex Optimization.
  • Mathematical Modeling and Probability Theory.