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E-grāmata: Theory and Applications of Satisfiability Testing - SAT 2020: 23rd International Conference, Alghero, Italy, July 3-10, 2020, Proceedings

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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.

 

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. 
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