Linear Equations with Min and Max Operators: Computational Complexity

We consider a class of optimization problems defined by a system of linear equations with min and max operators. This class of optimization problems has been studied under restrictive conditions, such as, (C1) the halting or stability condition; (C2) the non-negative coefficients condition; (C3) the sum upto 1 condition; and (C4) the only min or only max operator condition. Several seminal results in the literature focus on special cases. For example, turn-based stochastic games correspond to conditions C2 and C3; and Markov decision process to conditions C2, C3, and C4. However, the systematic computational complexity study of all the cases has not been explored, which we address in this work. Some highlights of our results are: with conditions C2 and C4, and with conditions C3 and C4, the problem is NP-complete, whereas with condition C1 only, the problem is in UP intersects coUP. Finally, we establish the computational complexity of the decision problem of checking the respective conditions.

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Publication Details

Journal
Proceedings of the AAAI Conference on Artificial Intelligence
Published
2025-04-11
DOI
https://doi.org/10.1609/aaai.v39i11.33212
Primary Topic
advanced mathematical theories
Type
article

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article

Linear Equations with Min and Max Operators: Computational Complexity

Jakub Svoboda, Krishnendu Chatterjee, Raimundo Saona, Ruichen Luo
Proceedings of the AAAI Conference on Artificial Intelligence
advanced mathematical theories
article

Linear Equations with Min and Max Operators: Computational Complexity

Jakub Svoboda, Krishnendu Chatterjee, Raimundo Saona, Ruichen Luo
article en

Abstract

We consider a class of optimization problems defined by a system of linear equations with min and max operators. This class of optimization problems has been studied under restrictive conditions, such as, (C1) the halting or stability condition; (C2) the non-negative coefficients condition; (C3) the sum upto 1 condition; and (C4) the only min or only max operator condition. Several seminal results in the literature focus on special cases. For example, turn-based stochastic games correspond to conditions C2 and C3; and Markov decision process to conditions C2, C3, and C4. However, the systematic computational complexity study of all the cases has not been explored, which we address in this work. Some highlights of our results are: with conditions C2 and C4, and with conditions C3 and C4, the problem is NP-complete, whereas with condition C1 only, the problem is in UP intersects coUP. Finally, we establish the computational complexity of the decision problem of checking the respective conditions.

Proceedings of the AAAI Conference on Artificial IntelligenceVol. 39(11)
Institute of Science and Technology Austria (AT)
Austrian Science Fund
Openalex Percentile: Top 50%
advanced mathematical theories
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Linear Equations with Min and Max Operators: Computational Complexity — Jakub Svoboda, Krishnendu Chatterjee, et al. · Proceedings of the AAAI Conference on Artificial Intelligence (2025) | TGRS Research Map | TGRS