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This paper presents the integration of constraint propagation and dual proof analysis in an exact, roundoff-error-free MIP solver. The authors employ safe rounding methods to ensure that all results remain provably correct, while sacrificing as little computational performance as possible in comparison to a pure floating-point implementation. The study also addresses the adaptation of certification techniques for correctness verification. Computational studies demonstrate the effectiveness of these techniques, showcasing a 23% performance improvement on the MIPLIB 2017 benchmark test set.
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Borst et al. (Wed,) studied this question.
synapsesocial.com/papers/68e733b8b6db6435876acde4 — DOI: https://doi.org/10.48550/arxiv.2403.13567
Sander Borst
Leon Eifler
Zuse Institute Berlin
Ambros Gleixner
Zuse Institute Berlin
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