87 Search Results for "Chakraborty, Supratik"

Volume

LIPIcs, Volume 305

27th International Conference on Theory and Applications of Satisfiability Testing (SAT 2024)

SAT 2024, August 21-24, 2024, Pune, India

Editors: Supratik Chakraborty and Jie-Hong Roland Jiang

Volume

LIPIcs, Volume 13

IARCS Annual Conference on Foundations of Software Technology and Theoretical Computer Science (FSTTCS 2011)

FSTTCS 2011, December 12-14, 2011, Mumbai, India

Editors: Supratik Chakraborty and Amit Kumar

Document
DOI: 10.4230/LIPIcs.CP.2024.10
Anytime Weighted Model Counting with Approximation Guarantees for Probabilistic Inference

Authors: Alexandre Dubray, Pierre Schaus, and Siegfried Nijssen

Published in: LIPIcs, Volume 307, 30th International Conference on Principles and Practice of Constraint Programming (CP 2024)

Abstract
Weighted model counting (WMC) plays a central role in probabilistic reasoning. Given that this problem is #P-hard, harder instances can generally only be addressed using approximate techniques based on sampling, which provide statistical convergence guarantees: the longer a sampling process runs, the more accurate the WMC is likely to be. In this work, we propose a deterministic search-based approach that can also be stopped at any time and provides hard lower- and upper-bound guarantees on the true WMC. This approach uses a value heuristic that guides exploration first towards models with a high weight and leverages Limited Discrepancy Search to make the bounds converge faster. The validity, scalability, and convergence of our approach are tested and compared with state-of-the-art baseline methods on the problem of computing marginal probabilities in Bayesian networks and reliability estimation in probabilistic graphs.
Cite as

Alexandre Dubray, Pierre Schaus, and Siegfried Nijssen. Anytime Weighted Model Counting with Approximation Guarantees for Probabilistic Inference. In 30th International Conference on Principles and Practice of Constraint Programming (CP 2024). Leibniz International Proceedings in Informatics (LIPIcs), Volume 307, pp. 10:1-10:16, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2024)

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@InProceedings{dubray_et_al:LIPIcs.CP.2024.10,
  author =	{Dubray, Alexandre and Schaus, Pierre and Nijssen, Siegfried},
  title =	{{Anytime Weighted Model Counting with Approximation Guarantees for Probabilistic Inference}},
  booktitle =	{30th International Conference on Principles and Practice of Constraint Programming (CP 2024)},
  pages =	{10:1--10:16},
  series =	{Leibniz International Proceedings in Informatics (LIPIcs)},
  ISBN =	{978-3-95977-336-2},
  ISSN =	{1868-8969},
  year =	{2024},
  volume =	{307},
  editor =	{Shaw, Paul},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/LIPIcs.CP.2024.10},
  URN =		{urn:nbn:de:0030-drops-206956},
  doi =		{10.4230/LIPIcs.CP.2024.10},
  annote =	{Keywords: Projected Weighted Model Counting, Limited Discrepancy Search, Approximate Method, Probabilistic Inference}
}
Document
DOI: 10.4230/LIPIcs.CP.2024.13
Improved Bounds of Integer Solution Counts via Volume and Extending to Mixed-Integer Linear Constraints

Authors: Cunjing Ge and Armin Biere

Published in: LIPIcs, Volume 307, 30th International Conference on Principles and Practice of Constraint Programming (CP 2024)

Abstract
Solution counting and solution space integration over linear constraints are important problems with many applications. Previous works addressed either only counting integer points in polytopes (integer counting) with integer variables or alternatively only computing the volume of polytopes (solution space integration) on variables over the reals, including approximating the integer count via a polytope’s volume. We are not aware of a non-trivial algorithm which addresses the mixed case, where linear constraints are over mixed integer and real variables. In this paper, we propose a new randomized algorithm to approximate guarantees (bounds) of integer solution counts. Then we present upper and lower bounds for solution space integration over mixed-integer linear constraints. Thus, proposed algorithms can be extended to mixed-integer cases as well. The experiments show that approximations are often very close to exact results in practice, and bounds approximated by our algorithm are often tight and useful.
Cite as

Cunjing Ge and Armin Biere. Improved Bounds of Integer Solution Counts via Volume and Extending to Mixed-Integer Linear Constraints. In 30th International Conference on Principles and Practice of Constraint Programming (CP 2024). Leibniz International Proceedings in Informatics (LIPIcs), Volume 307, pp. 13:1-13:17, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2024)

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@InProceedings{ge_et_al:LIPIcs.CP.2024.13,
  author =	{Ge, Cunjing and Biere, Armin},
  title =	{{Improved Bounds of Integer Solution Counts via Volume and Extending to Mixed-Integer Linear Constraints}},
  booktitle =	{30th International Conference on Principles and Practice of Constraint Programming (CP 2024)},
  pages =	{13:1--13:17},
  series =	{Leibniz International Proceedings in Informatics (LIPIcs)},
  ISBN =	{978-3-95977-336-2},
  ISSN =	{1868-8969},
  year =	{2024},
  volume =	{307},
  editor =	{Shaw, Paul},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/LIPIcs.CP.2024.13},
  URN =		{urn:nbn:de:0030-drops-206983},
  doi =		{10.4230/LIPIcs.CP.2024.13},
  annote =	{Keywords: Integer Solution Counting, Mixed-Integer Linear Constraints, #SMT(LA) Problems, Volume of Polytopes}
}
Document
Complete Volume
DOI: 10.4230/LIPIcs.SAT.2024
LIPIcs, Volume 305, SAT 2024, Complete Volume

Authors: Supratik Chakraborty and Jie-Hong Roland Jiang

Published in: LIPIcs, Volume 305, 27th International Conference on Theory and Applications of Satisfiability Testing (SAT 2024)

Abstract
LIPIcs, Volume 305, SAT 2024, Complete Volume
Cite as

27th International Conference on Theory and Applications of Satisfiability Testing (SAT 2024). Leibniz International Proceedings in Informatics (LIPIcs), Volume 305, pp. 1-578, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2024)

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@Proceedings{chakraborty_et_al:LIPIcs.SAT.2024,
  title =	{{LIPIcs, Volume 305, SAT 2024, Complete Volume}},
  booktitle =	{27th International Conference on Theory and Applications of Satisfiability Testing (SAT 2024)},
  pages =	{1--578},
  series =	{Leibniz International Proceedings in Informatics (LIPIcs)},
  ISBN =	{978-3-95977-334-8},
  ISSN =	{1868-8969},
  year =	{2024},
  volume =	{305},
  editor =	{Chakraborty, Supratik and Jiang, Jie-Hong Roland},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/LIPIcs.SAT.2024},
  URN =		{urn:nbn:de:0030-drops-205211},
  doi =		{10.4230/LIPIcs.SAT.2024},
  annote =	{Keywords: LIPIcs, Volume 305, SAT 2024, Complete Volume}
}
Document
Front Matter
DOI: 10.4230/LIPIcs.SAT.2024.0
Front Matter, Table of Contents, Preface, Conference Organization

Authors: Supratik Chakraborty and Jie-Hong Roland Jiang

Published in: LIPIcs, Volume 305, 27th International Conference on Theory and Applications of Satisfiability Testing (SAT 2024)

Abstract
Front Matter, Table of Contents, Preface, Conference Organization
Cite as

27th International Conference on Theory and Applications of Satisfiability Testing (SAT 2024). Leibniz International Proceedings in Informatics (LIPIcs), Volume 305, pp. 0:i-0:xviii, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2024)

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@InProceedings{chakraborty_et_al:LIPIcs.SAT.2024.0,
  author =	{Chakraborty, Supratik and Jiang, Jie-Hong Roland},
  title =	{{Front Matter, Table of Contents, Preface, Conference Organization}},
  booktitle =	{27th International Conference on Theory and Applications of Satisfiability Testing (SAT 2024)},
  pages =	{0:i--0:xviii},
  series =	{Leibniz International Proceedings in Informatics (LIPIcs)},
  ISBN =	{978-3-95977-334-8},
  ISSN =	{1868-8969},
  year =	{2024},
  volume =	{305},
  editor =	{Chakraborty, Supratik and Jiang, Jie-Hong Roland},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/LIPIcs.SAT.2024.0},
  URN =		{urn:nbn:de:0030-drops-205222},
  doi =		{10.4230/LIPIcs.SAT.2024.0},
  annote =	{Keywords: Front Matter, Table of Contents, Preface, Conference Organization}
}
Document
Invited Talk
DOI: 10.4230/LIPIcs.SAT.2024.1
Models and Counter-Models of Quantified Boolean Formulas (Invited Talk)

Authors: Martina Seidl

Published in: LIPIcs, Volume 305, 27th International Conference on Theory and Applications of Satisfiability Testing (SAT 2024)

Abstract
Because of the duality of universal and existential quantification, quantified Boolean formulas (QBF), the extension of propositional logic with quantifiers over the Boolean variables, have not only solutions in terms of models for true formulas like in SAT. Also false QBFs have solutions in terms of counter-models. Both models and counter-models can be represented as certain binary trees or as sets of Boolean functions reflecting the dependencies among the variables of a formula. Such solutions encode the answers to application problems for which QBF solvers are employed like the plan for a planning problem or the error trace of a verification problem. Therefore, models and counter-models are at the core of theory and practice of QBF solving. In this invited talk, we survey approaches that deal with models and counter-models of QBFs and identify some open challenges.
Cite as

Martina Seidl. Models and Counter-Models of Quantified Boolean Formulas (Invited Talk). In 27th International Conference on Theory and Applications of Satisfiability Testing (SAT 2024). Leibniz International Proceedings in Informatics (LIPIcs), Volume 305, pp. 1:1-1:7, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2024)

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@InProceedings{seidl:LIPIcs.SAT.2024.1,
  author =	{Seidl, Martina},
  title =	{{Models and Counter-Models of Quantified Boolean Formulas}},
  booktitle =	{27th International Conference on Theory and Applications of Satisfiability Testing (SAT 2024)},
  pages =	{1:1--1:7},
  series =	{Leibniz International Proceedings in Informatics (LIPIcs)},
  ISBN =	{978-3-95977-334-8},
  ISSN =	{1868-8969},
  year =	{2024},
  volume =	{305},
  editor =	{Chakraborty, Supratik and Jiang, Jie-Hong Roland},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/LIPIcs.SAT.2024.1},
  URN =		{urn:nbn:de:0030-drops-205238},
  doi =		{10.4230/LIPIcs.SAT.2024.1},
  annote =	{Keywords: Quantified Boolean Formula, Solution Extraction, Solution Counting}
}
Document
Invited Talk
DOI: 10.4230/LIPIcs.SAT.2024.2
Scalable Proof Production and Checking in SMT (Invited Talk)

Authors: Cesare Tinelli

Published in: LIPIcs, Volume 305, 27th International Conference on Theory and Applications of Satisfiability Testing (SAT 2024)

Abstract
Solvers for Satisfiability Modulo Theories (SMT) have become crucial components in safety- or mission-critical formal methods applications, in particular model checking, verification, and security analysis. Since state-of-the-art SMT solvers are large and complex systems, they are prohibitively difficult to prove correct. Hence, proof production is essential as a way to demonstrate instead the correctness of their responses, making those responses amenable to independent verification. Historically, the main challenges for proof production in SMT have been solver performance and proof coverage, often leading to the disabling of many sophisticated solving techniques when running in proof-production mode, or to coarse-grained, and harder to check, proofs. The first part of this talk presents a flexible proof-production architecture designed to handle the complexity of versatile, industrial-strength SMT solvers, and discusses how it has been leveraged to produce detailed proofs, even for sophisticated reasoning components. The architecture, implemented in the state-of-the-art SMT solver cvc5, allows proofs to be produced modularly, as needed, and with various safeguards for correctness. The architecture supports the generation of textual proof certificates in different formats, for offline proof checking by external tools, as well as a rich API, which is useful for online integration of the SMT solver into other reasoning tools such as, for instance, skeptical proof assistants. Extensive experimental evaluations with both SMT-LIB benchmarks and benchmarks provided by industrial partners have shown that the new architecture results in greater proof coverage than previous approaches, imposes a small runtime overhead, and supports fine-grained proofs in the great majority of cases. The second part of the talk gives an overview of a new generic language for expressing SMT proof certificates that builds on almost two decades of work and experience in proof generation and checking in SMT and combines the benefits of several previous efforts on the topic. While developed to express cvc5’s proof certificates, the language is meant to be useful to other SMT solvers as well. It is in fact a logical framework, based on the syntax and semantics of the upcoming Version 3 of the SMT-LIB standard, that can be customized, as in the case of cvc5, with the specific proof system used by the solver through the definition of new symbols, binders and proof rules. In addition, it features an intuitive syntax for representing natural-deduction-style proofs and the ability to integrate other proof formats (such as, for instance, those currently used by SAT solvers) via the use of oracles. The talk discusses an initial evaluation of the proof language, obtained with a companion checker for it and an instantiation to cvc5’s proof system. The evaluation shows the viability of high-performance, fine-grained proof production and checking for SMT. The talk concludes with a brief overview of future work and new potential applications enabled by scalable proof certificate production and checking.
Cite as

Cesare Tinelli. Scalable Proof Production and Checking in SMT (Invited Talk). In 27th International Conference on Theory and Applications of Satisfiability Testing (SAT 2024). Leibniz International Proceedings in Informatics (LIPIcs), Volume 305, pp. 2:1-2:2, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2024)

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@InProceedings{tinelli:LIPIcs.SAT.2024.2,
  author =	{Tinelli, Cesare},
  title =	{{Scalable Proof Production and Checking in SMT}},
  booktitle =	{27th International Conference on Theory and Applications of Satisfiability Testing (SAT 2024)},
  pages =	{2:1--2:2},
  series =	{Leibniz International Proceedings in Informatics (LIPIcs)},
  ISBN =	{978-3-95977-334-8},
  ISSN =	{1868-8969},
  year =	{2024},
  volume =	{305},
  editor =	{Chakraborty, Supratik and Jiang, Jie-Hong Roland},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/LIPIcs.SAT.2024.2},
  URN =		{urn:nbn:de:0030-drops-205241},
  doi =		{10.4230/LIPIcs.SAT.2024.2},
  annote =	{Keywords: Satisfiability Modulo Theories, Proof generation and certification}
}
Document
Invited Talk
DOI: 10.4230/LIPIcs.SAT.2024.3
Logical Algorithmics: From Relational Queries to Boolean Reasoning (Invited Talk)

Authors: Moshe Y. Vardi

Published in: LIPIcs, Volume 305, 27th International Conference on Theory and Applications of Satisfiability Testing (SAT 2024)

Abstract
The standard approach to algorithm development is to focus on a specific problem and develop for it a specific algorithm. Codd’s introduction of the relational model in 1970 included two fundamental ideas: (1) relations provide a universal data representation formalism, and (2) relational databases can be queried using first-order logic. Realizing these ideas required the development of a meta-algorithm, which takes a declarative query and executes it with respect to a database. In this talk, I will describe this approach, which I call Logical Algorithmics, in detail, and trace a decades-long path from the comoutational complexity theory of relational queries to recent tools for Boolean reasoning.
Cite as

Moshe Y. Vardi. Logical Algorithmics: From Relational Queries to Boolean Reasoning (Invited Talk). In 27th International Conference on Theory and Applications of Satisfiability Testing (SAT 2024). Leibniz International Proceedings in Informatics (LIPIcs), Volume 305, p. 3:1, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2024)

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@InProceedings{vardi:LIPIcs.SAT.2024.3,
  author =	{Vardi, Moshe Y.},
  title =	{{Logical Algorithmics: From Relational Queries to Boolean Reasoning}},
  booktitle =	{27th International Conference on Theory and Applications of Satisfiability Testing (SAT 2024)},
  pages =	{3:1--3:1},
  series =	{Leibniz International Proceedings in Informatics (LIPIcs)},
  ISBN =	{978-3-95977-334-8},
  ISSN =	{1868-8969},
  year =	{2024},
  volume =	{305},
  editor =	{Chakraborty, Supratik and Jiang, Jie-Hong Roland},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/LIPIcs.SAT.2024.3},
  URN =		{urn:nbn:de:0030-drops-205253},
  doi =		{10.4230/LIPIcs.SAT.2024.3},
  annote =	{Keywords: Logic, Algorithms}
}
Document
DOI: 10.4230/LIPIcs.SAT.2024.4
Satsuma: Structure-Based Symmetry Breaking in SAT

Authors: Markus Anders, Sofia Brenner, and Gaurav Rattan

Published in: LIPIcs, Volume 305, 27th International Conference on Theory and Applications of Satisfiability Testing (SAT 2024)

Abstract
Symmetry reduction is crucial for solving many interesting SAT instances in practice. Numerous approaches have been proposed, which try to strike a balance between symmetry reduction and computational overhead. Arguably the most readily applicable method is the computation of static symmetry breaking constraints: a constraint restricting the search-space to non-symmetrical solutions is added to a given SAT instance. A distinct advantage of static symmetry breaking is that the SAT solver itself is not modified. A disadvantage is that the strength of symmetry reduction is usually limited. In order to boost symmetry reduction, the state-of-the-art tool BreakID [Devriendt et. al] pioneered the identification and tailored breaking of a particular substructure of symmetries, the so-called row interchangeability groups. In this paper, we propose a new symmetry breaking tool called satsuma. The core principle of our tool is to exploit more diverse but frequently occurring symmetry structures. This is enabled by new practical detection algorithms for row interchangeability, row-column symmetry, Johnson symmetry, and various combinations. Based on the resulting structural description, we then produce symmetry breaking constraints. We compare this new approach to BreakID on a range of instance families exhibiting symmetry. Our benchmarks suggest improved symmetry reduction in the presence of Johnson symmetry and comparable performance in the presence of row-column symmetry. Moreover, our implementation runs significantly faster, even though it identifies more diverse structures.
Cite as

Markus Anders, Sofia Brenner, and Gaurav Rattan. Satsuma: Structure-Based Symmetry Breaking in SAT. In 27th International Conference on Theory and Applications of Satisfiability Testing (SAT 2024). Leibniz International Proceedings in Informatics (LIPIcs), Volume 305, pp. 4:1-4:23, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2024)

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@InProceedings{anders_et_al:LIPIcs.SAT.2024.4,
  author =	{Anders, Markus and Brenner, Sofia and Rattan, Gaurav},
  title =	{{Satsuma: Structure-Based Symmetry Breaking in SAT}},
  booktitle =	{27th International Conference on Theory and Applications of Satisfiability Testing (SAT 2024)},
  pages =	{4:1--4:23},
  series =	{Leibniz International Proceedings in Informatics (LIPIcs)},
  ISBN =	{978-3-95977-334-8},
  ISSN =	{1868-8969},
  year =	{2024},
  volume =	{305},
  editor =	{Chakraborty, Supratik and Jiang, Jie-Hong Roland},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/LIPIcs.SAT.2024.4},
  URN =		{urn:nbn:de:0030-drops-205269},
  doi =		{10.4230/LIPIcs.SAT.2024.4},
  annote =	{Keywords: symmetry breaking, boolean satisfiability, graph isomorphism}
}
Document
DOI: 10.4230/LIPIcs.SAT.2024.5
The Relative Strength of #SAT Proof Systems

Authors: Olaf Beyersdorff, Johannes K. Fichte, Markus Hecher, Tim Hoffmann, and Kaspar Kasche

Published in: LIPIcs, Volume 305, 27th International Conference on Theory and Applications of Satisfiability Testing (SAT 2024)

Abstract
The propositional model counting problem #SAT asks to compute the number of satisfying assignments for a given propositional formula. Recently, three #SAT proof systems kcps (knowledge compilation proof system), MICE (model counting induction by claim extension), and CPOG (certified partitioned-operation graphs) have been introduced with the aim to model #SAT solving and enable proof logging for solvers. Prior to this paper, the relations between these proof systems have been unclear and very few proof complexity results are known. We completely determine the simulation order of the three systems, establishing that CPOG simulates both MICE and kcps, while MICE and kcps are exponentially incomparable. This implies that CPOG is strictly stronger than the other two systems.
Cite as

Olaf Beyersdorff, Johannes K. Fichte, Markus Hecher, Tim Hoffmann, and Kaspar Kasche. The Relative Strength of #SAT Proof Systems. In 27th International Conference on Theory and Applications of Satisfiability Testing (SAT 2024). Leibniz International Proceedings in Informatics (LIPIcs), Volume 305, pp. 5:1-5:19, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2024)

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@InProceedings{beyersdorff_et_al:LIPIcs.SAT.2024.5,
  author =	{Beyersdorff, Olaf and Fichte, Johannes K. and Hecher, Markus and Hoffmann, Tim and Kasche, Kaspar},
  title =	{{The Relative Strength of #SAT Proof Systems}},
  booktitle =	{27th International Conference on Theory and Applications of Satisfiability Testing (SAT 2024)},
  pages =	{5:1--5:19},
  series =	{Leibniz International Proceedings in Informatics (LIPIcs)},
  ISBN =	{978-3-95977-334-8},
  ISSN =	{1868-8969},
  year =	{2024},
  volume =	{305},
  editor =	{Chakraborty, Supratik and Jiang, Jie-Hong Roland},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/LIPIcs.SAT.2024.5},
  URN =		{urn:nbn:de:0030-drops-205276},
  doi =		{10.4230/LIPIcs.SAT.2024.5},
  annote =	{Keywords: Model Counting, #SAT, Proof Complexity, Proof Systems, Lower Bounds, Knowledge Compilation}
}
Document
DOI: 10.4230/LIPIcs.SAT.2024.6
Clausal Congruence Closure

Authors: Armin Biere, Katalin Fazekas, Mathias Fleury, and Nils Froleyks

Published in: LIPIcs, Volume 305, 27th International Conference on Theory and Applications of Satisfiability Testing (SAT 2024)

Abstract
Many practical applications of satisfiability solving employ multiple steps to encode an original problem formulation into conjunctive normal form. Often circuits are used as intermediate representation before encoding those circuits into clausal form. These circuits however might contain redundant isomorphic sub-circuits. If blindly translated into clausal form, this redundancy is retained and increases solving time unless specific preprocessing algorithms are used. Furthermore, such redundant sub-formula structure might only emerge during solving and needs to be addressed by inprocessing. This paper presents a new approach which extracts gate information from the formula and applies congruence closure to match and eliminate redundant gates. Besides new algorithms for gate extraction, we also describe previous unpublished attempts to tackle this problem. Experiments focus on the important problem of combinational equivalence checking for hardware designs and show that our new approach yields a substantial gain in CNF solver performance.
Cite as

Armin Biere, Katalin Fazekas, Mathias Fleury, and Nils Froleyks. Clausal Congruence Closure. In 27th International Conference on Theory and Applications of Satisfiability Testing (SAT 2024). Leibniz International Proceedings in Informatics (LIPIcs), Volume 305, pp. 6:1-6:25, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2024)

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@InProceedings{biere_et_al:LIPIcs.SAT.2024.6,
  author =	{Biere, Armin and Fazekas, Katalin and Fleury, Mathias and Froleyks, Nils},
  title =	{{Clausal Congruence Closure}},
  booktitle =	{27th International Conference on Theory and Applications of Satisfiability Testing (SAT 2024)},
  pages =	{6:1--6:25},
  series =	{Leibniz International Proceedings in Informatics (LIPIcs)},
  ISBN =	{978-3-95977-334-8},
  ISSN =	{1868-8969},
  year =	{2024},
  volume =	{305},
  editor =	{Chakraborty, Supratik and Jiang, Jie-Hong Roland},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/LIPIcs.SAT.2024.6},
  URN =		{urn:nbn:de:0030-drops-205287},
  doi =		{10.4230/LIPIcs.SAT.2024.6},
  annote =	{Keywords: Satisfiability Solving, Congruence Closure, Structural Hashing, SAT Sweeping, Conjunctive Normal Form, Combinational Equivalence Checking, Hardware Equivalence Checking}
}
Document
DOI: 10.4230/LIPIcs.SAT.2024.7
MaxSAT Resolution with Inclusion Redundancy

Authors: Ilario Bonacina, Maria Luisa Bonet, and Massimo Lauria

Published in: LIPIcs, Volume 305, 27th International Conference on Theory and Applications of Satisfiability Testing (SAT 2024)

Abstract
Popular redundancy rules for SAT are not necessarily sound for MaxSAT. The works of [Bonacina-Bonet-Buss-Lauria'24] and [Ihalainen-Berg-Järvisalo'22] proposed ways to adapt them, but required specific encodings and more sophisticated checks during proof verification. Here, we propose a different way to adapt redundancy rules from SAT to MaxSAT. Our rules do not require specific encodings, their correctness is simpler to check, but they are slightly less expressive. However, the proposed redundancy rules, when added to MaxSAT-Resolution, are already strong enough to capture Branch-and-bound algorithms, enable short proofs of the optimal cost of notable principles (e.g., the Pigeonhole Principle and the Parity Principle), and allow to break simple symmetries (e.g., XOR-ification does not make formulas harder).
Cite as

Ilario Bonacina, Maria Luisa Bonet, and Massimo Lauria. MaxSAT Resolution with Inclusion Redundancy. In 27th International Conference on Theory and Applications of Satisfiability Testing (SAT 2024). Leibniz International Proceedings in Informatics (LIPIcs), Volume 305, pp. 7:1-7:15, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2024)

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@InProceedings{bonacina_et_al:LIPIcs.SAT.2024.7,
  author =	{Bonacina, Ilario and Bonet, Maria Luisa and Lauria, Massimo},
  title =	{{MaxSAT Resolution with Inclusion Redundancy}},
  booktitle =	{27th International Conference on Theory and Applications of Satisfiability Testing (SAT 2024)},
  pages =	{7:1--7:15},
  series =	{Leibniz International Proceedings in Informatics (LIPIcs)},
  ISBN =	{978-3-95977-334-8},
  ISSN =	{1868-8969},
  year =	{2024},
  volume =	{305},
  editor =	{Chakraborty, Supratik and Jiang, Jie-Hong Roland},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/LIPIcs.SAT.2024.7},
  URN =		{urn:nbn:de:0030-drops-205298},
  doi =		{10.4230/LIPIcs.SAT.2024.7},
  annote =	{Keywords: MaxSAT, Redundancy, MaxSAT resolution, Branch-and-bound, Pigeonhole principle, Parity Principle}
}
Document
DOI: 10.4230/LIPIcs.SAT.2024.8
Enhancing MaxSAT Local Search via a Unified Soft Clause Weighting Scheme

Authors: Yi Chu, Chu-Min Li, Furong Ye, and Shaowei Cai

Published in: LIPIcs, Volume 305, 27th International Conference on Theory and Applications of Satisfiability Testing (SAT 2024)

Abstract
Local search has been widely applied to solve the well-known (weighted) partial MaxSAT problem, significantly influencing many real-world applications. The main difficulty to overcome when designing a local search algorithm is that it can easily fall into local optima. Clause weighting is a beneficial technique that dynamically adjusts the landscape of search space to help the algorithm escape from local optima. Existing works tend to increase the weights of falsified clauses, and such strategies may result in an unpredictable landscape of search space during the optimization process. Therefore, in this paper, we propose a Unified Soft Clause Weighting Scheme called Unified-SW, which increases the weights of all soft clauses in feasible local optima, whether they are satisfied or not, while preserving the hierarchy among them. We implemented Unified-SW in a new local search solver called USW-LS. Experimental results demonstrate that USW-LS, outperforms the state-of-the-art local search solvers across benchmarks from anytime tracks of recent MaxSAT Evaluations. More promisingly, a hybrid solver combining USW-LS and TT-Open-WBO-Inc won all four categories in the anytime track of MaxSAT Evaluation 2023.
Cite as

Yi Chu, Chu-Min Li, Furong Ye, and Shaowei Cai. Enhancing MaxSAT Local Search via a Unified Soft Clause Weighting Scheme. In 27th International Conference on Theory and Applications of Satisfiability Testing (SAT 2024). Leibniz International Proceedings in Informatics (LIPIcs), Volume 305, pp. 8:1-8:18, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2024)

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@InProceedings{chu_et_al:LIPIcs.SAT.2024.8,
  author =	{Chu, Yi and Li, Chu-Min and Ye, Furong and Cai, Shaowei},
  title =	{{Enhancing MaxSAT Local Search via a Unified Soft Clause Weighting Scheme}},
  booktitle =	{27th International Conference on Theory and Applications of Satisfiability Testing (SAT 2024)},
  pages =	{8:1--8:18},
  series =	{Leibniz International Proceedings in Informatics (LIPIcs)},
  ISBN =	{978-3-95977-334-8},
  ISSN =	{1868-8969},
  year =	{2024},
  volume =	{305},
  editor =	{Chakraborty, Supratik and Jiang, Jie-Hong Roland},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/LIPIcs.SAT.2024.8},
  URN =		{urn:nbn:de:0030-drops-205301},
  doi =		{10.4230/LIPIcs.SAT.2024.8},
  annote =	{Keywords: Weighted Partial MaxSAT, Local Search Method, Weighting Scheme}
}
Document
DOI: 10.4230/LIPIcs.SAT.2024.9
Lazy Reimplication in Chronological Backtracking

Authors: Robin Coutelier, Mathias Fleury, and Laura Kovács

Published in: LIPIcs, Volume 305, 27th International Conference on Theory and Applications of Satisfiability Testing (SAT 2024)

Abstract
Chronological backtracking is an interesting SAT solving technique within CDCL reasoning, as it backtracks less aggressively upon conflicts. However, chronological backtracking is more difficult to maintain due to its weaker SAT solving invariants. This paper introduces a lazy reimplication procedure for missed lower implications in chronological backtracking. Our method saves propagations by reimplying literals on demand, rather than eagerly. Due to its modularity, our work can be replicated in other solvers, as shown by our results in the solvers CaDiCaL and Glucose.
Cite as

Robin Coutelier, Mathias Fleury, and Laura Kovács. Lazy Reimplication in Chronological Backtracking. In 27th International Conference on Theory and Applications of Satisfiability Testing (SAT 2024). Leibniz International Proceedings in Informatics (LIPIcs), Volume 305, pp. 9:1-9:19, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2024)

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@InProceedings{coutelier_et_al:LIPIcs.SAT.2024.9,
  author =	{Coutelier, Robin and Fleury, Mathias and Kov\'{a}cs, Laura},
  title =	{{Lazy Reimplication in Chronological Backtracking}},
  booktitle =	{27th International Conference on Theory and Applications of Satisfiability Testing (SAT 2024)},
  pages =	{9:1--9:19},
  series =	{Leibniz International Proceedings in Informatics (LIPIcs)},
  ISBN =	{978-3-95977-334-8},
  ISSN =	{1868-8969},
  year =	{2024},
  volume =	{305},
  editor =	{Chakraborty, Supratik and Jiang, Jie-Hong Roland},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/LIPIcs.SAT.2024.9},
  URN =		{urn:nbn:de:0030-drops-205313},
  doi =		{10.4230/LIPIcs.SAT.2024.9},
  annote =	{Keywords: Chronological Backtracking, CDCL, Invariants, Watcher Lists}
}
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