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On the structure of the boolean satisfiability problem: A survey
TN Alyahya, MEB Menai, H Mathkour - ACM Computing Surveys (CSUR), 2022 - dl.acm.org
The Boolean satisfiability problem (SAT) is a fundamental NP-complete decision problem in
automated reasoning and mathematical logic. As evidenced by the results of SAT …
automated reasoning and mathematical logic. As evidenced by the results of SAT …
Machine learning for automated theorem proving: Learning to solve SAT and QSAT
SB Holden - Foundations and Trends® in Machine Learning, 2021 - nowpublishers.com
The decision problem for Boolean satisfiability, generally referred to as SAT, is the
archetypal NP-complete problem, and encodings of many problems of practical interest exist …
archetypal NP-complete problem, and encodings of many problems of practical interest exist …
On the glucose SAT solver
The set of novelties introduced with the SAT solver Glucose is now considered as a standard
for practical SAT solving. In this paper, we review the different strategies and technologies …
for practical SAT solving. In this paper, we review the different strategies and technologies …
[КНИГА][B] Answer set solving in practice
Answer Set Programming (ASP) is a declarative problem solving approach, initially tailored
to modeling problems in the area of Knowledge Representation and Reasoning (KRR) …
to modeling problems in the area of Knowledge Representation and Reasoning (KRR) …
Conflict-driven clause learning SAT solvers
One of the most important paradigm shifts in the use of SAT solvers for solving industrial
problems has been the introduction of clause learning. Clause learning entails adding a …
problems has been the introduction of clause learning. Clause learning entails adding a …
[PDF][PDF] Predicting Learnt Clauses Quality in Modern SAT Solvers.
Beside impressive progresses made by SAT solvers over the last ten years, only few works
tried to understand why Conflict Directed Clause Learning algorithms (CDCL) are so strong …
tried to understand why Conflict Directed Clause Learning algorithms (CDCL) are so strong …
Learning rate based branching heuristic for SAT solvers
In this paper, we propose a framework for viewing solver branching heuristics as
optimization algorithms where the objective is to maximize the learning rate, defined as the …
optimization algorithms where the objective is to maximize the learning rate, defined as the …
The Sat4j library, release 2.2
D Le Berre, A Parrain - Journal on Satisfiability, Boolean …, 2010 - content.iospress.com
Sat4j is a mature, open source library of SAT-based solvers in Java. It provides a modular
SAT solver architecture designed to work with generic constraints. Such architecture is used …
SAT solver architecture designed to work with generic constraints. Such architecture is used …
Potassco: The Potsdam answer set solving collection
Potassco: The Potsdam Answer Set Solving Collection Page 1 AI Communications 24 (2011)
107–124 107 DOI 10.3233/AIC-2011-0491 IOS Press Potassco: The Potsdam Answer Set …
107–124 107 DOI 10.3233/AIC-2011-0491 IOS Press Potassco: The Potsdam Answer Set …
[КНИГА][B] Decision procedures
D Kroening, O Strichman - 2008 - Springer
A decision procedure is an algorithm that, given a decision problem, terminates with a
correct yes/no answer. In this book, we focus on decision procedures for decidable first …
correct yes/no answer. In this book, we focus on decision procedures for decidable first …