Yahia LEBBAH, Claude MICHEL, Michel RUEHER  Home/Search
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Abstract: Numeric systems of constraints are widely used to model problems in numerous application areas ranging from robotics to chemistry. This paper introduces a new ltering algorithm (GFLR) to prune the domains of the variables in such numeric applications. Roughly speaking, GFLR combines classical local consistencies and a new global ltering algorithm that works on a linear relaxation of numeric constraints. We introduce a safe rounding procedure to preserve the completeness of the linear... (Update)
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0.5: A Rigorous Global Filtering Algorithm for Quadratic.. - LEBBAH, MICHEL, RUEHER (2005) (Correct)
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BibTeX entry: (Update)
@misc{ lebbah-combining,
author = "Yahia LEBBAH and Claude MICHEL and Michel RUEHER",
title = "Combining Local Consistencies with a New Global Filtering Algorithm on
Linear Relaxations",
url = "citeseer.ist.psu.edu/717820.html" }
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16 Comparing partial consistencies - Rueher, Collavizza et al. - 1999
14 The stewart-gough platform of general geometry can have 40 r.. (context) - Dietmaier - 1998
11 Branch and cut algorithm for nonconvex quadratically constra.. - Audet, Hansen et al. - 2000
5 Elimination-based solution method for the forward kinematics.. - Lee, Shim - 2001
3 Analyse par intervalles pour l'automatique : rsolution globa.. (context) - Didrit - 1997
3 Jointly constrained biconvex programming and related problem.. (context) - Al-Khayyal - 1990
2 ltering algorithm for handling systems of quadratic equation.. (context) - Lebbah, Rueher et al. - 2002
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