Theory and Applications of Satisfiability Testing - SAT 2009 12th International Conference, SAT 2009, Swansea, UK, June 30 - July 3, 2009. Proceedings

This book constitutes the refereed proceedings of the 12th International Conference on Theory and Applications of Satisfiability Testing, SAT 2009, held in Swansea, UK, in June/July 2009. The 34 revised full papers presented together with 11 revised short papers and 2 invited talks were carefully se...

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Bibliographic Details
Other Authors: Kullmann, Oliver (Editor)
Format: eBook
Language:English
Published: Berlin, Heidelberg Springer Berlin Heidelberg 2009, 2009
Edition:1st ed. 2009
Series:Theoretical Computer Science and General Issues
Subjects:
Online Access:
Collection: Springer eBooks 2005- - Collection details see MPG.ReNa
Table of Contents:
  • Building a Hybrid SAT Solver via Conflict-Driven, Look-Ahead and XOR Reasoning Techniques
  • Automatic Adaption of SAT Solvers
  • Restart Strategy Selection Using Machine Learning Techniques
  • Instance-Based Selection of Policies for SAT Solvers
  • Width-Based Restart Policies for Clause-Learning Satisfiability Solvers
  • Problem-Sensitive Restart Heuristics for the DPLL Procedure
  • Stochastic Approaches to SAT Solving
  • (1,2)-QSAT: A Good Candidate for Understanding Phase Transitions Mechanisms
  • VARSAT: Integrating Novel Probabilistic Inference Techniques with DPLL Search
  • QBFs and Their Representations
  • Resolution and Expressiveness of Subclasses of Quantified Boolean Formulas and Circuits
  • A Compact Representation for Syntactic Dependencies in QBFs
  • Beyond CNF: A Circuit-Based QBF Solver
  • Optimisation Algorithms
  • Solving (Weighted) Partial MaxSAT through Satisfiability Testing
  • Nonlinear Pseudo-Boolean Optimization: Relaxation or Propagation?
  • Improved Conflict-Clause Minimization Leads to Improved Propositional Proof Traces
  • Boundary Points and Resolution
  • Translations to CNF
  • Sequential Encodings from Max-CSP into Partial Max-SAT
  • Cardinality Networks and Their Applications
  • New Encodings of Pseudo-Boolean Constraints into CNF
  • Efficient Term-ITE Conversion for Satisfiability Modulo Theories
  • Techniques for Conflict-Driven SAT Solvers
  • On-the-Fly Clause Improvement
  • Dynamic Symmetry Breaking by Simulating Zykov Contraction
  • Minimizing Learned Clauses
  • Extending SAT Solvers to Cryptographic Problems
  • Solving SAT by Local Search
  • Improving Variable Selection Process in Stochastic Local Search for Propositional Satisfiability
  • A Theoretical Analysis of Search in GSAT
  • The Parameterized Complexity of k-Flip Local Search for SAT and MAX SAT
  • Hybrid SAT Solvers
  • A Novel Approach to Combine a SLS- and a DPLL-Solverfor the Satisfiability Problem
  • Invited Talks
  • SAT Modulo Theories: Enhancing SAT with Special-Purpose Algorithms
  • Symbolic Techniques in Propositional Satisfiability Solving
  • Applications of SAT
  • Efficiently Calculating Evolutionary Tree Measures Using SAT
  • Finding Lean Induced Cycles in Binary Hypercubes
  • Finding Efficient Circuits Using SAT-Solvers
  • Encoding Treewidth into SAT
  • Complexity Theory
  • The Complexity of Reasoning for Fragments of Default Logic
  • Does Advice Help to Prove Propositional Tautologies?
  • Structures for SAT
  • Backdoors in the Context of Learning
  • Solving SAT for CNF Formulas with a One-Sided Restriction on Variable Occurrences
  • On Some Aspects of Mixed Horn Formulas
  • Variable Influences in Conjunctive Normal Forms
  • Resolution and SAT
  • Clause-Learning Algorithms with Many Restarts and Bounded-Width Resolution
  • An Exponential Lower Bound for Width-Restricted Clause Learning
  • Relaxed DPLL Search for MaxSAT
  • Branch and Bound for Boolean Optimization and the Generation of Optimality Certificates
  • Exploiting Cycle Structures in Max-SAT
  • Generalizing Core-Guided Max-SAT
  • Algorithms for Weighted Boolean Optimization
  • Distributed and Parallel Solving
  • PaQuBE: Distributed QBF Solving with Advanced Knowledge Sharing
  • c-sat: A Parallel SAT Solver for Clusters