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Fuzzy Simultaneous Congruences

Authors Max A. Deppert , Klaus Jansen , Kim-Manuel Klein



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Author Details

Max A. Deppert
  • Kiel University, Germany
Klaus Jansen
  • Kiel University, Germany
Kim-Manuel Klein
  • Kiel University, Germany

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Max A. Deppert, Klaus Jansen, and Kim-Manuel Klein. Fuzzy Simultaneous Congruences. In 46th International Symposium on Mathematical Foundations of Computer Science (MFCS 2021). Leibniz International Proceedings in Informatics (LIPIcs), Volume 202, pp. 39:1-39:16, Schloss Dagstuhl - Leibniz-Zentrum für Informatik (2021)
https://doi.org/10.4230/LIPIcs.MFCS.2021.39

Abstract

We introduce a very natural generalization of the well-known problem of simultaneous congruences. Instead of searching for a positive integer s that is specified by n fixed remainders modulo integer divisors a₁,… ,a_n we consider remainder intervals R₁,… ,R_n such that s is feasible if and only if s is congruent to r_i modulo a_i for some remainder r_i in interval R_i for all i. This problem is a special case of a 2-stage integer program with only two variables per constraint which is is closely related to directed Diophantine approximation as well as the mixing set problem. We give a hardness result showing that the problem is NP-hard in general. By investigating the case of harmonic divisors, i.e. a_{i+1}/a_i is an integer for all i < n, which was heavily studied for the mixing set problem as well, we also answer a recent algorithmic question from the field of real-time systems. We present an algorithm to decide the feasibility of an instance in time 𝒪(n²) and we show that if it exists even the smallest feasible solution can be computed in strongly polynomial time 𝒪(n³).

Subject Classification

ACM Subject Classification
  • Theory of computation → Discrete optimization
  • Theory of computation → Integer programming
Keywords
  • Simultaneous congruences
  • Integer programming
  • Mixing Set
  • Real-time scheduling
  • Diophantine approximation

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