Theory and Applications of Satisfiability Testing - SAT 2020
23rd International Conference, Alghero, Italy, July 3-10, 2020, Proceedings
Published on 1. July 2020
Book
Paperback/Softback
XI, 538 pages
978-3-030-51824-0 (ISBN)
Description
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.
More details
Series
Edition
1st ed. 2020
Language
English
Place of publication
Cham
Switzerland
Publishing group
Springer International Publishing
Target group
Professional and scholarly
Illustrations
201 s/w Abbildungen, 70 farbige Abbildungen
XI, 538 p. 271 illus., 70 illus. in color.
Dimensions
Height: 235 mm
Width: 155 mm
Thickness: 30 mm
Weight
826 gr
ISBN-13
978-3-030-51824-0 (9783030518240)
DOI
10.1007/978-3-030-51825-7
Schweitzer Classification
Other editions
Additional editions
Luca Pulina | Martina Seidl
Theory and Applications of Satisfiability Testing - SAT 2020
23rd International Conference, Alghero, Italy, July 3-10, 2020, Proceedings
E-Book
07/2020
Springer
€53.49
Available for download
Content
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 Sparsityof 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.