Deciding uniqueness in norm maximization
Identifieur interne : 002D64 ( Main/Exploration ); précédent : 002D63; suivant : 002D65Deciding uniqueness in norm maximization
Auteurs : Peter Gritzmann [Allemagne] ; Victor Klee [États-Unis]Source :
- Mathematical Programming [ 0025-5610 ] ; 1992-05-01.
Descripteurs français
- Pascal (Inist)
English descriptors
- KwdEn :
Abstract
Abstract: NP-hardness is established for the problem whose instance is a system of linear inequalities defining a polytopeP, and whose question is whether, onP, the global maximum of the Euclidean norm is attained at more than one vertex ofP. The NP-hardness persists even for the restricted problem in whichP is a full-dimensional parallelotope with one vertex at the origin. This makes it possible to establish NP-hardness for other uniqueness problems, including some from pseudoboolean programming and computational convexity.
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DOI: 10.1007/BF01581081
Affiliations:
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Le document en format XML
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<front><div type="abstract" xml:lang="en">Abstract: NP-hardness is established for the problem whose instance is a system of linear inequalities defining a polytopeP, and whose question is whether, onP, the global maximum of the Euclidean norm is attained at more than one vertex ofP. The NP-hardness persists even for the restricted problem in whichP is a full-dimensional parallelotope with one vertex at the origin. This makes it possible to establish NP-hardness for other uniqueness problems, including some from pseudoboolean programming and computational convexity.</div>
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