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dc.contributor.authorRecht, Benjamin
dc.contributor.authorMangasarian, Olvi
dc.date.accessioned2013-01-17T18:29:36Z
dc.date.available2013-01-17T18:29:36Z
dc.date.issued2009
dc.identifier.citation09-02en
dc.identifier.urihttp://digital.library.wisc.edu/1793/64352
dc.description.abstractWe consider a system of m linear equations in n variables Ax = d and give necessary and sufficient conditions for the existence of a unique solution to the system that is integer: x ? {?1,1}n. We achieve this by reformulating the problem as a linear program and deriving necessary and sufficient conditions for the integer solution to be the unique primal optimal solution. We show that as long as m is larger than n/2, then the linear programming reformulation succeeds for most instances, but if m is less than n/2, the reformulation fails on most instances. We also demonstrate that these predictions match the empirical performance of the linear programming formulation to very high accuracy.en
dc.subjectlinear programmingen
dc.subjectlinear equationsen
dc.subjectunique integer solutionen
dc.titleProbability of Unique Integer Solution to a System of Linear Equationsen
dc.typeTechnical Reporten


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    DMI Technical Reports Archive for the Department of Computer Sciences at the University of Wisconsin-Madison

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