05810nam 22007575 450 99641828080331620230330060326.03-030-51825-610.1007/978-3-030-51825-7(CKB)4100000011325823(MiAaPQ)EBC6298669(DE-He213)978-3-030-51825-7(PPN)248595423(EXLCZ)99410000001132582320200630d2020 u| 0engurcnu||||||||txtrdacontentcrdamediacrrdacarrierTheory and Applications of Satisfiability Testing – SAT 2020[electronic resource] 23rd International Conference, Alghero, Italy, July 3–10, 2020, Proceedings /edited by Luca Pulina, Martina Seidl1st ed. 2020.Cham :Springer International Publishing :Imprint: Springer,2020.1 online resource (xi, 538 pages)Theoretical Computer Science and General Issues,2512-2029 ;12178Includes index.3-030-51824-8 Sorting Parity Encodings by Reusing Variables -- Community and LBD-based Clause Sharing Policy for Parallel SAT Solving -- Clause size reduction with all-UIP Learning -- Trail Saving on Backtrack -- Four Flavors of Entailment -- Designing New Phase Selection Heuristics -- On the Effect of Learned Clauses on Stochastic Local Search -- SAT Heritage: a community-driven effort for archiving, building and running more than thousand SAT solvers -- Distributed Cube and Conquer with Paracooba -- Reproducible E cient Parallel SAT Solving -- Improving Implementation of SAT Competitions 2017-2019 Winners -- On CDCL-based Proof Systems with the Ordered Decision Strategy -- Equivalence Between Systems Stronger Than Resolution -- Simplified and Improved Separations Between Regular and General Resolution by Lifting -- Mycielski graphs and PR proofs -- Towards a Better Understanding of (Partial Weighted) MaxSAT Proof Systems -- Towards a Complexity-theoretic Understanding of Restarts in SAT solvers -- On the Sparsity of XORs in Approximate Model Counting -- A Faster Algorithm for Propositional Model Counting Parameterized by Incidence Treewidth -- Abstract Cores in Implicit Hitting Set MaxSat Solving -- MaxSAT Resolution and SubCube Sums -- A Lower Bound on DNNF Encodings of Pseudo-Boolean Constraints -- On Weakening Strategies for PB Solvers -- Reasoning About Strong Inconsistency in ASP -- Taming High Treewidth with Abstraction, Nested Dynamic Programming, and Database Technology -- Reducing Bit-Vector Polynomials to SAT using Groebner Bases -- Speeding Up Quantified Bit-Vector SMT Solvers by Bit-Width Reductions and Extensions -- Strong (D)QBF Dependency Schemes via Tautology-free Resolution Paths -- Short Q-Resolution Proofs with Homomorphisms -- Multi-Linear Strategy Extraction for QBF Expansion Proofs via Local Soundness -- Positional Games and QBF: The Corrective Encoding -- Matrix Multiplication: Verifying Strong Uniquely Solvable Puzzles -- Satisfiability Solving Meets Evolutionary Optimisation in Designing Approximate Circuits -- SAT Solving with Fragmented Hamiltonian Path Constraints for Wire Arc Additive Manufacturing -- SAT-based Encodings for Optimal Decision Trees with Explicit Paths -- Incremental Encoding of Pseudo-Boolean Goal Functions based on Comparator Networks. .This book constitutes the proceedings of the 23rd International Conference on Theory and Applications of Satisfiability Testing, SAT 2020, which was planned to take place in Alghero, Italy, during July 5-9, 2020. Due to the coronavirus COVID-19 pandemic, the conference was held virtually. The 25 full, 9 short, and 2 tool papers presented in this volume were carefully reviewed and selected from 69 submissions. They deal with SAT interpreted in a broad sense, including theoretical advances (such as exact algorithms, proof complexity, and other complexity issues), practical search algorithms, knowledge compilation, implementation-level details of SAT solvers and SAT-based systems, problem encodings and reformulations, applications (including both novel application domains and improvements to existing approaches), as well as case studies and reports on findings based on rigorous experimentation. .Theoretical Computer Science and General Issues,2512-2029 ;12178Computer scienceComputer engineeringComputer networksMicroprogrammingNumerical analysisLogic programmingSoftware engineeringTheory of ComputationComputer Engineering and NetworksControl Structures and MicroprogrammingNumerical AnalysisLogic in AISoftware EngineeringComputer science.Computer engineering.Computer networks.Microprogramming.Numerical analysis.Logic programming.Software engineering.Theory of Computation.Computer Engineering and Networks.Control Structures and Microprogramming.Numerical Analysis.Logic in AI.Software Engineering.005.1Pulina Lucaedthttp://id.loc.gov/vocabulary/relators/edtSeidl Martinaedthttp://id.loc.gov/vocabulary/relators/edtMiAaPQMiAaPQMiAaPQBOOK996418280803316Theory and Applications of Satisfiability Testing – SAT 20202241075UNISA