Certified Constraint Propagation and Dual Proof Analysis in a Numerically Exact MIP Solver

Fuente: arXiv
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Autori principali: Borst, Sander, Eifler, Leon, Gleixner, Ambros
Natura: Preprint
Pubblicazione: 2024
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author Borst, Sander
Eifler, Leon
Gleixner, Ambros
author_facet Borst, Sander
Eifler, Leon
Gleixner, Ambros
contents 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.
format Preprint
id arxiv_https___arxiv_org_abs_2403_13567
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Certified Constraint Propagation and Dual Proof Analysis in a Numerically Exact MIP Solver
Borst, Sander
Eifler, Leon
Gleixner, Ambros
Optimization and Control
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.
title Certified Constraint Propagation and Dual Proof Analysis in a Numerically Exact MIP Solver
topic Optimization and Control
url https://arxiv.org/abs/2403.13567