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Verifying Integer Programming Results

Published in arXiv (Cornell University) • Nov 27, 2016
NobleIDNI8P44W93R29S35
Authors:
Kevin K. H. Cheung
,
Ambros Gleixner
,
Daniel E. Steffy

Abstract

Software for mixed-integer linear programming can return incorrect results for a number of reasons, one being the use of inexact floating-point arithmetic. Even solvers that employ exact arithmetic may suffer from programming or algorithmic errors, motivating the desire for a way to produce independ...

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