Filtering by ULP Maximum - Inria - Institut national de recherche en sciences et technologies du numérique Access content directly
Conference Papers Year : 2011

Filtering by ULP Maximum


Constraint solving over floating-point numbers is an emerging topic that found interesting applications in software analysis and testing. Even for IEEE-754 compliant programs, correct reasoning over floating-point computations is challenging and requires dedicated constraint solving approaches to be developed. Recent advances indicate that numerical properties of floating-point numbers can be used to efficiently prune the search space. In this paper, we reformulate the Marre and Michel property over floating-point addition/subtraction constraint to ease its implementation in real-world floating-point constraint solvers. We also generalize the property to the case of multiplication/division in order to benefit from its improvements in more cases.
Fichier principal
Vignette du fichier
CG_ICTAI.pdf (108.63 Ko) Télécharger le fichier
Origin : Files produced by the author(s)

Dates and versions

hal-00699565 , version 1 (21-05-2012)


  • HAL Id : hal-00699565 , version 1


Matthieu Carlier, Arnaud Gotlieb. Filtering by ULP Maximum. Proc. of the IEEE Int. Conf. on Tools for Artificial Intelligence (ICTAI'11), Nov 2011, Floride, United States. ⟨hal-00699565⟩
131 View
75 Download


Gmail Facebook Twitter LinkedIn More