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Journal of Computer and System Sciences
Article . 2026 . Peer-reviewed
License: CC BY
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https://doi.org/10.2139/ssrn.4...
Article . 2024 . Peer-reviewed
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https://dx.doi.org/10.48550/ar...
Article . 2024
License: arXiv Non-Exclusive Distribution
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Article . 2026
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Algorithms and Complexity of Difference Logic

Authors: Dabrowski, K.K.; Jonsson, P.; Ordyniak, S.; Osipov, G.;

Algorithms and Complexity of Difference Logic

Abstract

Difference Logic (DL) is a fragment of linear arithmetics where atoms are constraints x+k <= y for variables x,y (ranging over Q or Z) and integer k. We study the complexity of deciding the truth of existential DL sentences. This problem appears in many contexts: examples include verification, bioinformatics, telecommunications, and spatio-temporal reasoning in AI. We begin by considering sentences in CNF with rational-valued variables. We restrict the allowed clauses via two natural parameters: arity and coefficient bounds. The problem is NP-hard for most choices of these parameters. As a response to this, we refine our understanding by analyzing the time complexity and the parameterized complexity (with respect to well-studied parameters such as primal and incidence treewidth). We obtain a comprehensive picture of the complexity landscape in both cases. Finally, we generalize our results to integer domains and sentences that are not in CNF.

This is an strongly extended version of two conference papers with the same authors that appeared at KR 2020 (Title: Fine-Grained Complexity of Temporal Problems) and AAAI 2021 (Title: Disjunctive Temporal Problems under Structural Restrictions)

Countries
Sweden, United Kingdom
Keywords

Difference logic; Algorithms and complexity; Fine-grained complexity; Parameterized complexity; Treewidth, FOS: Computer and information sciences, Computer Science - Logic in Computer Science, Difference logic, Computer Sciences, Treewidth, Fine-grained complexity, Logic in Computer Science (cs.LO), Parameterized complexity, Datavetenskap (datalogi), Computer Science - Data Structures and Algorithms, Algorithms and complexity, Data Structures and Algorithms (cs.DS)

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
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